Few careers require the combination of technical skill, leadership, and adaptability that medicine demands. For Dr. Ian Reight, those qualities have defined a career that spans surgery, hospital leadership, and medical innovation. Along the way, he has helped bring new ideas into healthcare while maintaining a focus on the people at the center of every decision: patients. Today, Reight is known as a eneral surgeon, former chief of surgery, former medical staff president, and lead robotic surgeon. His path to those roles began long before he entered an operating room. How Ian Reight's early experiences shaped his career Growing up in Maryland, Reight volunteered as a firefighter and paramedic. Those experiences exposed him to emergencies, teamwork, and high-pressure situations at an early age. “I learned quickly that people look for calm leadership when things become difficult,” Reight says. “In emergency situations, you have to focus on solving problems instead of reacting emotionally.” Those early lessons would stay with him throughout his medical career. Before pursuing medicine, Reight studied psychology at the University of Maryland College Park. He later earned his Doctor of Medicine degree from the Medical University of the Americas. His background in psychology gave him a perspective that many healthcare professionals overlook. “Medicine is about more than procedures and diagnoses,” he explains. “People need trust and communication, especially during stressful situations.” Why communication became a big idea in Ian Reight’s career As Reight advanced in surgery, he noticed something important. Technical expertise alone was not enough to create successful outcomes. Many of the biggest challenges inside hospitals involved communication between departments, physicians, nurses, administrators, and patients. That realization became one of the guiding ideas behind his leadership approach. “You cannot lead effectively if you only understand your own role,” Reight says. “You have to understand how every team works together.” Over time, he took on increasingly significant leadership responsibilities. He served as chief of surgery, medical staff president, medical director of a breast center, and medical director of wound care and hyperbaric medicine. In each role, he focused on creating stronger collaboration between teams and improving how information flowed throughout the organization. How Ian Reight helped advance robotic surgery One of the most important developments during Reight’s career was the rise of robotic surgery. While some physicians were cautious about adopting new technologies, Reight saw an opportunity to improve patient care. “Healthcare is always evolving,” he says. “You have to be willing to learn and adapt if you want to keep improving.” Reight became a lead robotic surgeon and helped introduce advanced surgical techniques into clinical practice. He viewed technology not as a replacement for surgeons, but as a tool that could improve precision and outcomes when used correctly. “The technology is important,” he explains. “But judgment, preparation, and experience are still what make the difference.” His willingness to embrace innovation reflects a broader theme throughout his career: staying open to change while maintaining high standards. Leadership lessons from the operating room Many of the leadership principles Reight believes in were developed inside operating rooms. Preparation matters. Communication matters. Consistency matters. Those lessons apply just as much to organizations as they do to surgery. “People trust leaders who stay steady,” Reight says. “When challenges come up, your team needs confidence that someone is focused on solutions.” Throughout his leadership roles, Reight worked closely with physicians, nurses, administrators, and support staff. He learned that successful organizations depend on people understanding how their work contributes to larger goals. “Every person plays a role in patient care,” he says. “The best results happen when everyone understands that.” What Ian Reight believes drives long-term success Looking back, Reight believes many of the ideas that shaped his career were surprisingly simple. Stay curious. Keep learning. Communicate clearly. Adapt when necessary. “The moment you think you know everything is the moment you stop growing,” he says. Outside of medicine, Reight enjoys spending time with his dogs and cooking. Both activities provide balance and an opportunity to slow down after years of working in high-pressure environments. He even sees similarities between cooking and surgery. “They both require planning, timing, and attention to detail,” he says with a smile. For Reight, success has never been about chasing recognition. It has been about helping patients, supporting teams, and continuously improving. His career demonstrates how big ideas do not always arrive as dramatic breakthroughs. Sometimes they come from a commitment to learning, adapting, and finding better ways to serve others. “Leadership is not about having all the answers,” Reight says. “It is about staying prepared, staying calm, and helping people move forward together.”

Written by Rocio Sanchez, SEO-First Brand Strategist Marketing by Rocio is a multicultural and multilingual brand strategy and digital marketing agency, helping LGBTQ-focused brands stand out in their industries. Many business owners see Google Ads as a shortcut to more leads, more traffic, and more sales. Yet one of the most common mistakes I see is investing in ads before the website is ready to convert visitors. Before spending money to bring more people to your site, it's worth asking a simple question, what happens when they arrive? The moment I realized traffic wasn't the problem Early in my career, I worked with a photographer who wanted more leads and was convinced Google Ads were the answer. They had already invested heavily in their website. It looked impressive at first glance. There were animations, custom features, and plenty of visual flair. Yet when I started reviewing the site from a potential client's perspective, the cracks became obvious. The mobile experience was frustrating. Important information was difficult to find. The path from landing on the website to making an inquiry felt longer and more complicated than it needed to be. The assumption was that more traffic would solve the problem. It wouldn't. Sending paid traffic to that website would have been like pouring water into a leaky bucket. More visitors would arrive, but many of them would leave before taking action. That experience taught me something that has shaped the way I approach marketing strategy ever since. Traffic is rarely the first problem that needs solving. Years later, I read Building a StoryBrand by Donald Miller, and it gave language to something I had already been observing in client work. Miller argues that when businesses confuse customers, they lose customers. The same principle applies to digital marketing. Every point of confusion creates friction. Every extra click creates friction. Every unclear message creates friction. Google Ads can absolutely be effective. The problem is that many business owners treat them as a shortcut instead of an amplifier. Before spending money to bring more people to your website, you need confidence that your website can guide visitors toward the action you want them to take. Otherwise, you're not fixing the problem. You're simply paying more people to experience it. Why Google Ads is not a magic fix Google Ads has a reputation for delivering fast results. Unlike SEO, which can take months to build momentum, paid ads can start driving visitors to your website almost immediately. That speed is exactly why so many business owners see Google Ads as the solution to their marketing challenges. The problem is that Google Ads solves a very specific problem. It helps you get in front of more people who are actively searching for what you offer. It does not automatically solve issues with your messaging, website experience, or conversion process. What Google Ads actually does At its core, Google Ads buys visibility. When someone searches for a product or service, advertisers compete for the opportunity to appear near the top of the search results. If your ad is relevant and your bid is competitive, your business has a chance to be seen by potential customers at the exact moment they are looking for a solution. That visibility can be incredibly valuable. What Google Ads cannot do is convince people to trust your business, understand your offer, or take action once they arrive on your website. Those responsibilities belong to your website. Why more traffic doesn't guarantee more leads One of the most common assumptions in marketing is that more visitors automatically lead to more sales. Sometimes that's true. More often, the relationship is not that simple. Imagine your website currently receives 100 visitors per month and converts just 1% of them into leads. Increasing traffic to 1,000 visitors might increase inquiries, but it also means 990 people are leaving without taking action. If the website experience is weak, increasing traffic simply increases the number of missed opportunities. This is why businesses can spend hundreds or thousands of euros or dollars on advertising and still feel disappointed by the results. The traffic arrived. The conversions did not. The difference between traffic problems and conversion problems A traffic problem means not enough people are finding your business. A conversion problem means people are finding your business but are not taking the next step. The distinction matters because the solutions are completely different. If nobody is visiting your website, increasing visibility through SEO, Google Ads, partnerships, referrals, or content marketing may help. If people are already visiting but not converting, the issue is often related to messaging, user experience, site speed, trust signals, or the overall customer journey. Before investing in Google Ads, it's worth identifying which problem you're actually trying to solve. Otherwise, you risk spending money on traffic when the real opportunity lies in improving what happens after visitors arrive. The biggest red flag I see before launching Google Ads One of the first questions I ask when a business owner mentions Google Ads is simple, "What's your budget?" The answer tells me a lot. Many people assume they can spend a few hundred dollars or euros per month, turn on a campaign, and start generating a steady stream of leads. While that might have been possible in some industries years ago, today's advertising landscape is far more competitive. Google Ads can absolutely work. The challenge is that success often requires a larger investment than many business owners expect. The true cost of competitive industries Not all industries are created equal when it comes to advertising costs. I've worked with therapists, local service providers, and businesses operating in highly competitive markets where multiple companies are competing for the same searches. Every click becomes part of an auction. The more businesses competing for a keyword, the more expensive it becomes to appear in front of potential customers. This is one of the reasons I encourage business owners to research their industry before committing to Google Ads. What works for one business may not be financially sustainable for another. Why a small budget often produces disappointing results A limited budget doesn't automatically mean a campaign will fail. The problem is that many businesses expect large-scale results from small-scale investment. If your budget only allows a small number of clicks each month, it becomes difficult to gather enough data to understand what's working and what's not. Effective advertising often involves testing different keywords, ad copy, landing pages, and audiences. That process takes both time and budget. When businesses stop after a few weeks because results aren't immediate, they often conclude that Google Ads doesn't work. In reality, they may not have invested enough to generate meaningful insights. What business owners expect versus reality Many business owners expect Google Ads to solve a lead generation problem overnight. The reality is usually more complicated. Successful campaigns rely on multiple pieces working together. A clear offer. Strong messaging. A fast website. A seamless user experience. Conversion tracking. A realistic advertising budget When one of those pieces is missing, performance suffers. This is why I rarely evaluate Google Ads in isolation. The campaign itself is only one part of the equation. The website, the customer journey, and the overall marketing strategy all influence whether those advertising dollars generate a return. Before launching Google Ads, I encourage business owners to ask a different question. Instead of asking, "How much traffic can I buy?" ask, "Am I ready to convert the traffic I already have?" The answer often reveals where the biggest opportunity lies. What happens when you send paid traffic to a weak website Google Ads can increase visibility almost immediately. The challenge is that every click costs money. When visitors arrive on a website that creates friction, confusion, or frustration, those advertising dollars disappear quickly. This is where many campaigns underperform. The issue isn't necessarily the ad itself. The issue is what happens after the click. Slow websites lose impatient visitors People expect websites to load quickly. If a page takes too long to appear, visitors often leave before they've even had a chance to learn about the business. According to Google research, the probability of a visitor leaving increases significantly as page load time increases. When you're paying for every click, a slow website becomes an expensive problem. Before investing in advertising, it's worth making sure your website performs well across desktop and mobile devices. Confusing messaging creates friction One of the biggest lessons I took away from Building a StoryBrand is that confused customers rarely become customers. Visitors should be able to answer a few basic questions almost immediately. What do you do? Who do you help? Why should I choose you? What should I do next? If visitors have to search for those answers, many won't stick around long enough to find them. Many businesses underestimate the importance of clear website messaging because they are already familiar with their own services. New visitors don't have that advantage. Broken forms and poor user experience kill conversions Imagine spending hundreds of euros driving traffic to a website only to discover that the contact form isn't working properly. It happens more often than people think. Broken forms, confusing navigation, missing calls to action, and technical bugs create barriers between a visitor and the action you want them to take. A website should make it easy for visitors to move forward. Every unnecessary step increases the likelihood that they leave instead. Inconsistent landing pages damage trust When someone clicks on an ad, they arrive with a specific expectation. If the ad promises one thing but the landing page focuses on something completely different, trust starts to erode immediately. Consistency matters. The language, offer, and call to action on the landing page should align closely with the message that attracted the visitor in the first place. The smoother the transition between ad and website, the more likely visitors are to stay engaged and take action. Paid traffic is valuable. The goal is to make sure your website is ready to make the most of every visitor who arrives. Traffic is rarely the real problem When a business isn't getting enough leads, the natural assumption is that they need more traffic. More visitors should mean more inquiries, right? Sometimes that's true. But in my experience, traffic is often treated as the problem because it's the most visible metric. You can see website visits, impressions, and clicks in a dashboard. It's much harder to measure confusion, friction, or a weak customer journey. As a result, many businesses focus on attracting more people before evaluating what happens when visitors arrive. Conversion versus acquisition Acquisition is the process of getting people to your website. Conversion is what happens after they arrive. Both matter, but they solve different problems. Google Ads, SEO, referrals, and social media can all help with acquisition. Your website, messaging, positioning, and user experience determine whether those visitors convert into inquiries, consultations, or sales. Before increasing acquisition efforts, it's worth asking whether your website is already converting visitors effectively. A business that improves its conversion rate often sees better results without increasing its advertising budget at all. Improving what already exists One of the most overlooked growth strategies is improving the assets you already have. Instead of immediately investing in more traffic, consider optimizing website speed, calls to action, contact forms, navigation, messaging, and mobile usability. Small improvements can compound over time. In many cases, a business will generate a stronger return by investing in a small business SEO audit than by immediately increasing ad spend. Once the foundation is strong, paid traffic becomes much more effective because the website is better equipped to convert the visitors it receives. More traffic can help grow a business. But before spending money to attract more visitors, make sure you're making the most of the ones you already have. So, what makes a website Google Ads-ready? By now, you might be thinking, "Okay, I get it. My website might be the problem. But how do I know if it's actually ready for Google Ads?" The answer isn't whether your website looks good. I've seen plenty of websites that are visually impressive and completely ineffective at generating leads. In fact, I sometimes describe these websites as "beautiful but SEO ugly." They have great photography, clever animations, and custom design features, but they struggle to guide visitors toward taking action. If that sounds familiar, it may be worth asking whether it's time to redesign your website for SEO before investing in advertising. A Google Ads-ready website doesn't need to be perfect. It needs to make it easy for visitors to understand what you offer, trust your business, and take the next step. Fast loading pages Every second matters. When someone clicks on an ad, they're expecting immediate access to the information they're looking for. Slow-loading pages create friction before visitors have even had a chance to engage with your content. A fast website improves user experience, supports conversions, and helps ensure you're getting the most value from every click. Clear messaging and positioning Visitors should be able to answer three questions within seconds. What do you do? Who do you help? Why should I choose you? If the answers aren't obvious, potential customers may leave before exploring further. This is why clear website messaging is often more important than clever copywriting. Clarity converts, but confusion doesn't. A seamless user journey Your website should guide visitors naturally from curiosity to action. People shouldn't have to hunt for information, click through multiple menus, or guess where to go next. A strong user journey removes unnecessary friction and makes it easy for visitors to move through the website with confidence. This is one reason I advocate for an SEO first web design approach, where user experience and search visibility work together instead of competing against each other. Strong calls to action Every page should make the next step obvious. Whether you're encouraging visitors to schedule a consultation, request a quote, join a newsletter, or make a purchase, your call to action should be clear and easy to find. If visitors don't know what to do next, many of them won't do anything at all. Consistency between ad copy and landing page One of the quickest ways to lose trust is to create a disconnect between the ad and the page it leads to. If someone clicks an ad expecting one thing and lands on a page focused on something else, they're more likely to leave. The strongest campaigns create a seamless experience from search query to ad copy to landing page. Every step should reinforce the same message and make it easier for visitors to take action. Google Ads can help you get in front of the right people. Your website's job is to make sure those people stick around. The three-click test In Building a StoryBrand, Donald Miller argues that when businesses confuse customers, they lose customers. It's a simple idea, but it's surprisingly easy to overlook. Business owners spend weeks refining logos, selecting colors, and debating website layouts. Meanwhile, potential customers are asking much simpler questions. What do you do? Who do you help? What should I do next? If those answers aren't immediately obvious, visitors may leave before exploring further. Before investing in Google Ads, I recommend evaluating your website from the perspective of a first-time visitor. Can they understand what you do? Can they find the information they need without digging through multiple pages? Can they take action without frustration? The exact number of clicks isn't what matters. What matters is whether visitors can move from curiosity to action with minimal effort. The easier you make that journey, the more likely your website is to convert the traffic you're paying to attract. When Google Ads actually makes sense After reading this article, you might assume I'm against Google Ads. I'm not. Google Ads can be one of the fastest ways to generate qualified traffic and accelerate business growth. The key is understanding when paid advertising becomes an investment rather than an expensive experiment. When website improvements should come first In most cases, I recommend focusing on your website before increasing your advertising budget. Website improvements should usually come first if. Your website loads slowly. Visitors struggle to understand what you offer. Contact forms aren't generating inquiries. Navigation feels confusing. You don't have a clear call to action. You aren't sure how visitors move through your site. Improving these areas often increases conversions without increasing traffic. When Google Ads may make sense Google Ads becomes much more attractive when the fundamentals are already working. Your website doesn't need to be perfect, but it should have. A clear offer. Strong messaging. A straightforward conversion path. Reliable contact forms. Mobile-friendly design. A positive user experience. At that point, Google Ads can help you reach more people who are actively searching for your services. Instead of using advertising to compensate for weaknesses, you're using it to amplify a system that's already producing results. When it makes sense to do both The reality is that SEO and Google Ads are not mutually exclusive. Some of the strongest marketing strategies combine both. Google Ads can generate immediate visibility while SEO builds long term organic traffic. One delivers faster results. The other creates a more sustainable source of traffic over time. This is often where businesses see the greatest success. A solid website foundation, a measurable conversion path, and a realistic advertising budget create the conditions for both channels to work together effectively. If you're still deciding where to invest first, it may help to understand the SEO timeline for small businesses and compare that against your immediate goals, budget, and growth expectations. Frequently asked questions 1. How do I know if my website is ready for Google Ads? A website doesn't need to be perfect before you run Google Ads, but it should have a few fundamentals in place. Visitors should be able to quickly understand what you do, who you help, and how to take the next step. Your website should load quickly, work well on mobile devices, and have a clear path toward conversion. 2. Can Google Ads work with a small budget? Yes, but expectations matter. A smaller budget can work well in some industries, particularly when targeting a niche audience or a specific geographic area. In highly competitive industries, however, a limited budget may not generate enough traffic or data to produce meaningful results. Before investing in ads, make sure your website is already converting visitors effectively. Otherwise, you're paying to send more people into the same funnel without addressing the underlying issues. 3. Do I need a dedicated landing page for Google Ads? Not always. In some cases, an existing service page may be enough if it closely matches the intent behind the advertisement. In other cases, creating a dedicated landing page can improve the user experience and increase conversions. The most important factor is relevance. The message in your ad should closely match the message visitors see when they arrive on your website. A strong SEO first web design approach often makes these transitions much smoother. 4. Is SEO better than Google Ads? Neither is universally better. They simply serve different purposes. Google Ads can generate visibility quickly, making it useful for businesses that need immediate traffic or want to test offers. SEO typically takes longer to produce results, but it can generate consistent traffic over time without requiring payment for every click. Understanding the SEO timeline for small businesses can help set realistic expectations for long-term growth. In many cases, the strongest strategy is not choosing one over the other. It's building a website that supports both. Build the foundation first Google Ads can be an incredibly effective marketing channel. It can help businesses generate visibility, reach potential customers at the right moment, and accelerate growth. Yet one of the biggest mistakes I see is treating Google Ads as the foundation of a marketing strategy rather than an amplifier. Instead, ads amplify what already exists. If your website is slow, confusing, or difficult to navigate, paid traffic will expose those weaknesses faster. If your messaging is unclear, your calls to action are buried, or your user journey creates friction, more traffic won't solve the problem. On the other hand, when your website clearly communicates your value, guides visitors toward action, and provides a seamless experience, Google Ads can become a powerful growth tool. Before investing in paid traffic, take a step back and evaluate what happens after the click. Can visitors understand what you do? Can they find the information they need? Can they take the next step without frustration? If the answer is yes, your website may be ready for Google Ads. If the answer is no, your next investment might be better spent improving the foundation first. Because in digital marketing, scaling a system only works when the system itself is working. If you're considering Google Ads and aren't sure whether your website is ready, I'd encourage you to get in touch. Sometimes, a few strategic improvements can make a bigger difference than increasing your advertising budget. Follow me on Instagram, LinkedIn, and visit my website for more info! Read more from Rocio Sanchez Rocio Sanchez, SEO-First Brand Strategist Rocio Sanchez is a brand strategist and digital marketer who specializes in helping LGBT-affirming businesses take up space. With a marketing degree from the Fashion Institute of Technology, they started Marketing by Rocio to help small business owners who often feel left behind and under-resourced. Rocio grew up between New York City and the Dominican Republic, and is now based in Europe, where they've lived for almost ten years between Amsterdam and Paris. They speak three languages (English, Spanish, and French) and deeply understand the lived experience of queer folks in these cultures, giving Rocio a unique outlook on running a queer-led business.

Written by Vibecke Garnaas, New Earth Strategist New Earth Strategist, certified spiritual coach, and published author with 17+ years guiding awakening souls through 1,500+ transformative channeling sessions and globally recognized Spiritual Quest Podcast. You built the brand. Refined the message. Made yourself easy to understand. It worked. People found you. Trusted you. Followed you. Now something underneath that identity is pressing outward. Quiet at first. Then less quiet. Not because something is wrong. Because something is ready. What legibility costs Legibility is what got you here. A clear identity, consistent message, anad defined expertise. Everything is packaged in a way that others can receive quickly and trust. The leadership world rewards legibility. Algorithms reward it. Personal branding experts demand it. For a long time, that reward was real. But legibility has a hidden cost. To stay consistently readable, a leader must stay within the edges of what they've already become. Every post, every offer, every conversation, curated to confirm what people already expect from you. At a certain level of evolution, that curation becomes a container. The container becomes a ceiling. The leader who built the brand begins to feel constrained by it. Not because the brand is wrong, but because they have grown beyond its edges. The identity that once expressed them now represents them. Those are not the same thing. Why consistency becomes a trap The leaders who evolve most powerfully are rarely the most consistent ones, not in values, but in form. They move in ways their followers don't always immediately understand. They step past the known version of themselves before anyone asks. This is not recklessness. It is attunement. The identity ceiling arrives quietly. It's the point at which a leader's brand becomes more about what they were than who they are now. Everything still works on the outside. The offer lands. The audience responds. The content performs. Underneath all of it, a growing sense of performing a version of themselves rather than being one. Most leaders feel this long before they name it. The exhaustion of showing up legible, day after day, in a form that no longer holds all of who they are. What the oversoul knows There is a layer of leadership that cannot be packaged. Not because it is vague or unformed, but because it moves. It does not hold still long enough to become a brand. It does not fit neatly into a category, a title, or a three-word positioning statement. This is the oversoul. The aspect of you that was never shaped by what others needed you to be. That was never curated for legibility. That is not a product of your history but the movement of your remembering. Most leaders have felt it. The knowing that arrives in stillness rather than strategy. The decision that comes before the logic that explains it. The moment of presence in a room that can't be taught or repeated on command. These are not accidents. They are the field of leadership that exists underneath the brand, and they become accessible only when the need to stay legible loosens enough to let something else through. Staying legible widens that gap. Not because legibility is wrong, but because it privileges recognition over emergence. It asks the oversoul to wait. The oversoul does not wait well. What comes after legibility This is the part that frightens leaders who have built something real. If I stop being this, who am I? If I evolve past what people hired me for, will they follow? If the brand changes, does everything collapse? It doesn't collapse. But it does require something most leadership development doesn't prepare you for, the willingness to be temporarily illegible. To move through a version of yourself that isn't fully formed yet. To lead from a place that can't be explained in a sentence. To trust what you know before you can say what you know. The leaders who navigate this well don't abandon their identity. They allow it to become transparent, a threshold rather than a container. The work doesn't disappear. It deepens. It becomes less about what they can deliver and more about what they can hold. That shift is not a rebrand. It is not a pivot. It is an emergence, and it changes the quality of everything downstream. As you may have already felt in some form, the signs of this emergence look less like breakdown and more like outgrowing. The question underneath the brand If you stripped away everything people know you for, what would remain? Not the titles. Not the framework. Not the testimonials, the track record, or the perfectly positioned niche. What moves in you when you are not performing competence? That is the layer this article is pointing toward. Not to dismantle what you've built, but to stop letting legibility be the ceiling above it. The most dangerous thing a leader can do right now is to keep optimizing the container while the field beneath it waits to be led from. If you sense that something in you is ready to move past the edges of what you've become, The Mirror Path is the space where that emergence becomes visible. Not through strategy. Through seeing. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Vibecke Garnaas Vibecke Garnaas, New Earth Strategist Vibecke Garnaas is a New Earth Strategist, certified spiritual coach, and a Channeler for higher consciousness, offering a unique blend of holistic guidance, multidimensional healing, and personal transformation. With over 17 years of experience and 1,500+ life-changing channeling sessions, she empowers awakening souls to align with their purpose and embrace their divine essence. Through her globally recognized Spiritual Quest Podcast, signature mentorship programs, and transformative retreats, Vibecke creates uplifting spaces for healing and awakening, inspiring conscious co-creators to shine their light and foster planetary transformation.

Written by Vibecke Garnaas, New Earth Strategist New Earth Strategist, certified spiritual coach, and published author with 17+ years guiding awakening souls through 1,500+ transformative channeling sessions and globally recognized Spiritual Quest Podcast. Something has shifted. You can feel it even if you haven't named it. Not a trend. Not a cycle. Something underneath the surface of all of it , the uncertainty, the acceleration, the exhaustion, that is asking a different kind of question than the ones most leaders are trained to answer. 2026 is not asking you to do more. It is asking you to recalibrate What leaders are feeling In the work I do with leaders, I hear the same thing again and again, often not stated directly, but present in everything that is said. Something isn't working the way it used to. The drive is still there. The commitment is still there. But something underneath the motion has gone quiet in a way that doesn't feel like rest. It feels like a signal. The data confirms what I'm witnessing. DDI's Global Leadership Forecast, one of the largest leadership studies in the world, found that 71% of leaders are under increased stress, with 40% actively considering leaving their roles. Not because they don't care. Because the current model of leadership is no longer sustainable for the people being asked to carry it. This is not a personal failing. It is a structural one. The conditions have changed. The tools haven't caught up. The gap between them is where the exhaustion lives. What reset actually means The word "reset" is used so freely that it has lost its meaning. In leadership culture, it usually means stop, breathe, recalibrate slightly, then continue doing what you were doing, only faster. A reset as recharge. A pause before the next acceleration. That is not what 2026 is offering. A genuine reset is structural. It doesn't ask what you need to do differently. It asks what you need to be differently. It surfaces the assumptions running underneath your leadership, about what success looks like, about what pace is sustainable, and about what leading from strength actually means at this level of complexity. Most leaders avoid this conversation because it feels like stepping off solid ground. In a way, it is. But solid ground built on outdated assumptions isn't stability. It's a foundation that has already begun to shift. It just hasn't told you yet. What 2026 is not asking It is worth being clear about what this moment is not. 2026 is not asking leaders to slow down as a concession to their limits. It is not asking them to care less, achieve less, or settle for less. It is not a year of contraction. It is a year of recalibration, which is an entirely different thing. Recalibration doesn't reduce the field of what's possible. It brings the instrument back into alignment with what it's actually meant to measure. The leaders who will move most powerfully through 2026 and beyond are not the ones who push hardest through the discomfort of this moment. They are the ones who become willing to be recalibrated by it. That distinction matters. Because one is an act of force, and the other is an act of coherence. Three things 2026 is asking To stop mistaking acceleration for progress. Speed is not the same as direction. The clearest decisions I witness leaders make don't come from doing more. They come from the moments of genuine stillness that constant motion prevents. To lead from the inside out. The external environment of 2026, uncertainty, disruption, shifting expectations, is not a problem to solve. It is a mirror. What it reflects is the degree to which a leader's internal coherence can hold steady when the conditions around them no longer provide the stability they used to rely on. To trust what doesn't have a metric yet. The most important things happening in leadership right now don't show up in quarterly results. They show up first as a quiet knowing, then as a decision that surprises even the person who made it, then as a quality of presence that others feel before they can explain. This is what coherence looks like from the inside. The question underneath 2026 If you strip away the noise of this moment, the headlines, the forecasts, the pressure to respond to everything, a single question remains. Not "how do I lead through this?" but "who am I remembering as I lead through this?" Because 2026 is not a problem to solve. It is a threshold to cross. What you bring to the threshold, the quality of your presence, the coherence of your field, the degree to which you are leading from the inside out, determines not just what you achieve, but what becomes possible for everyone in your orbit. You've already felt this. The pull toward something different. The sense that the old map no longer matches the territory. That isn't confusion. That is the beginning of recalibration. If you're ready to understand what that looks like for you specifically, The Mirror Path is the space where that question becomes visible, not as a problem, but as a threshold you're already standing at. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Vibecke Garnaas Vibecke Garnaas, New Earth Strategist Vibecke Garnaas is a New Earth Strategist, certified spiritual coach, and a Channeler for higher consciousness, offering a unique blend of holistic guidance, multidimensional healing, and personal transformation. With over 17 years of experience and 1,500+ life-changing channeling sessions, she empowers awakening souls to align with their purpose and embrace their divine essence. Through her globally recognized Spiritual Quest Podcast, signature mentorship programs, and transformative retreats, Vibecke creates uplifting spaces for healing and awakening, inspiring conscious co-creators to shine their light and foster planetary transformation.

Written by Stoyana Natseva, Global Mentor, Bestselling Author, and Founder Prof. Dr. Stoyana Natseva is a Full Professor, psychologist, researcher, bestselling author, and founder of Happy Life Academy. She is the creator of the Direct Change Solution® (DCS) methodology and the Internal Autobiographical Map (IAM), helping individuals and organizations achieve lasting transformation through science-based education. For many years, my life looked exactly the way success is supposed to look. I had a long career in banking, a family, a home, security, and recognition. For twenty-seven years, I built the kind of life many people work hard to achieve. From the outside, it looked complete. Inside, it did not. I was not missing more money, status, or stability. I was missing myself. Over the years, I began to notice the same pattern in many people, and first in myself. Some spend their lives rescuing everyone but themselves. They give, sacrifice, support, and hold everything together for others, while slowly losing connection with their own truth. Others move to the opposite extreme. They try to control, correct, and change everyone around them, believing peace will come when other people finally become different. On the surface, these paths look opposite. In reality, they come from the same place. Both are focused outward. Both are waiting for something outside to fix what is unresolved within. You cannot truly love what you do not know. Many people spend years trying to build a relationship with themselves without ever taking the time to understand who they really are. Some people lose themselves by constantly rescuing others. Others lose themselves by constantly trying to control them. One sacrifices everything in the name of love. The other demands everything in the name of being right. But neither is free. Both are trapped in the same illusion, that someone else must change first. Real awakening begins when a person stops managing everyone else’s life and starts taking full responsibility for their own. That was one of the deepest truths I had to face in my own life. No one can think instead of me. No one can feel instead of me. No one can choose instead of me. No one can act instead of me. No one can create my life instead of me. This, for me, is where awakening begins. The moment a person stops waiting for life, circumstances, or other people to give them what only they can cultivate within themselves. The more I studied psychology, human development, coaching, and education, the more I realized that the answers I had been searching for externally were already waiting within me. That realization changed everything. I began to understand that my thoughts are my responsibility. My emotions, choices, and actions are my responsibility. With that understanding came power. Not power over others. Power over the direction of my own life. That is what I mean by the inner Creator. Not as a fantasy or denial. But as conscious responsibility. Eventually, I understood that my true work was not inside the banking system. It was in the field of human transformation. Leaving a successful twenty seven year career was not easy. But there comes a moment when inner truth becomes louder than outer security. I chose a different path, education, transformation, and mission. That is how Happy Life Academy was born. What began as a sincere desire to share knowledge that had transformed my own life grew into something much larger. Through books, educational programs, events, media appearances, online content, and public initiatives, the message of one million awakened has already reached more than one million people around the world. What matters most is not the number. It is what happens in people’s lives. People begin making different choices. They care for their health in new ways. They approach work, money, and relationships differently. Some begin new careers, build new businesses, leave painful situations behind, and some finally choose themselves. That is the shift that matters. People stop waiting for someone to save them. They begin to take ownership, and live as authors instead of victims. For me, that is awakening. The moment you stop waiting to be saved, you begin to become the author of your life. That is the heart of one million awakened. Follow me on Facebook, Instagram, and visit my website for more info! Read more from Stoyana Natseva Stoyana Natseva, Global Mentor, Bestselling Author, and Founder Prof. Dr. Stoyana Natseva is a Full Professor, psychologist, researcher, international educator, bestselling author, and founder of Happy Life Academy. She is the creator of the Direct Change Solution® (DCS) methodology and the Internal Autobiographical Map (IAM), and founder of the Happy Life Institute for Direct Change Science. Through her internationally accredited MBA and professional education programs, she has trained more than 100,000 students from over 50 countries. Her work has been recognized with international awards, a Guinness World Record, and multiple World Book of Records distinctions, while her research and educational initiatives continue to bridge science, leadership, and personal transformation worldwide.

There has never been a better time to optimize business travel. In a world now considered ‘post-COVID,’ enhanced freedom of movement has made business leaders across the U.S. more conscious of the benefits of face-to-face meetings. Gone are the days of enforced Zoom meetings and online conferences, where WiFi and personal connections are shaky at best. Business travel in 2024 isn’t just a way to meet new clients and provide training; it’s becoming an opportunity to gain a competitive advantage across industries. In this post, we’ll look into how some companies are transforming the very idea of business travel to gain ground against competitors and improve market share. How Has Business Travel Changed Since 2019? U.S. companies now spend about 73% of what they did on business travel in 2019, reflecting steady year-on-year growth since the pandemic. However, spending has yet to fully return to pre-pandemic levels due to several factors. Many meetings continue to be held on platforms like Zoom, and the rise of remote work has led to teams being more geographically dispersed, reducing the need for frequent in-person travel. Additionally, more companies are factoring in their carbon footprint as part of their corporate responsibility, opting for more sustainable practices, which often means cutting back on travel. Despite this, business travel is forecasted to reach its pre-pandemic peak soon, and a new generation of employees is desperate to make connections and find opportunities outside of the office. In one U.K.-based survey, American Express revealed that 59% of all workers aged 18-24 were planning a business trip in the next 12 months. Young people are keen to make up for time lost during the pandemic, with many using the latest tech to do so more efficiently than ever. Automation and AI Are Making Business Travel Easier As companies embrace automation's benefits, they’ve realized that it helps alleviate the biggest headache of business travel: expenses. The Amex Trendex Business Travel Report suggests that most business travelers find expense reporting easier than five years ago, with many claiming that it’s gotten even more manageable over the past 12 months. AI is also offering businesses a huge advantage against competitors regarding business travel. The same Amex report claims that 82% of companies surveyed are using AI to manage business travel, up 13% from the year before. These AI tools are used for all aspects of business travel, from planning and scheduling to expense reporting and even for the booking process. This level of high automation gives businesses a huge competitive advantage over those who fail to adapt, as less time is spent on admin, and more time is put into maximizing the trip itself. Scheduling automation, specifically, allows employees to find new areas of opportunity during business trips that might have otherwise been overlooked. Getting More From Less While business travel spending is still down compared to 2019 figures, this doesn’t necessarily mean we’re getting less out of business trips. In many cases, business trips are becoming far more efficient than in previous years, with many leaders meeting with two or three clients in a single trip rather than completing three separate trips. Globetrender first coined the term “objective stacking,” which describes trips that complete a series of objectives rather than achieving a sole purpose. They argue that business travel in the future will mean trips that “build in time to meet clients, conduct reconnaissance, forge deals, investigate expansion opportunities, conduct competitor analysis, or they might even want to tag on a vacation.” Another way for companies to streamline trips is to book a charter jet to give more flexibility to a business travel schedule. Instead of relying on commercial airlines and missing meetings through delays and cancellations, a charter jet gives companies the freedom to meet with multiple clients across the country in a single day. This offers a solid competitive advantage in 2024 when other businesses might compromise through impersonal Zoom meetings and conference calls. Longer Leashes in 2024 It’s often been the case that the more flexible and supportive a company is, the more loyal and responsive the employee will be. We’re seeing this idea taken to new heights, with some companies even contributing to the additional cost of a ‘leisure’ trip so that employees return to work refreshed and committed after a short break. This type of travel seems to be a natural consequence of the rise of remote and work-at-home opportunities that businesses now offer. If you can trust staff to work at home, you can trust them to work from anywhere. Offering mini-vacations or booking a business trip can garner further loyalty and employee satisfaction. The figures seem to support this, with Forbes reporting that “bleisure trips currently reach a worldwide market value of nearly $600 billion. Research indicates this market is expected to grow by around 500% or more over the next decade.” Stay One Step Ahead With Your Business Trips In a rapidly changing corporate environment, businesses must stay on their toes to satisfy their employees. Adopting the latest tech, trusting your staff, and rewarding them with unique opportunities are going to be vital to maintaining a competitive advantage in 2024

Written by Laila Belabbas, Splish Splash Handmade Products & Executive Coach Laila Belabbas is the Founder of Splish Splash Handmade Products & Executive Coach In Your Corner. With over 15 years as a Human Resources Leader and Leadership Coach, she holds a Bachelor's in Commerce Entrepreneurial Management-Finance, is a Certified Executive Coach and a member of the International Coaching Federation After a year marked by personal loss, career uncertainty, and overwhelming grief, one simple decision to say yes opened the door to healing, connection, and unexpected new beginnings. What started as a Hot Chocolate Chat became a journey of friendship, community, and the creation of Besties Beyond Borders, proving that meaningful connections can grow far beyond borders. When life doesn’t go according to plan Last year, I was working full-time as a Senior Human Resources Professional while completing a post-graduate certificate in Executive Coaching. Work was very busy, with frequent business trips, constant jet lag, and the large time zone difference between Vancouver, British Columbia, Canada, and my colleagues in eastern Canada, which made work more taxing. Attending school under these conditions was very challenging. When sickness hits your family I was feeling grateful for the growth opportunity and for learning new skills through my program, coaching phenomenal executives and leaders. I thought to myself, 2025 was starting on such a positive note. I had new plans for my career and was looking forward to where life would take me next. Then my father was diagnosed with colon cancer. The news hit me like a ton of bricks. I felt hopeless for a moment, then I put myself back together and decided to be strong for my father and the family. He was suffering more than I was and needed me more than ever. I was helping him while in school, travelling for work, and working full-time on a national level with all the provinces in Canada. However, I worked hard to keep everything going, spent as much time as I could with him, and supported him during his most difficult time. I had difficulty focusing during my school program, however, despite it all, I managed to graduate from my executive coaching program. Then I lost my job due to budget cuts. At that time, I decided not to say anything to my family, especially my dad. I didn't want to add stress to his situation or to everyone else in the family. The unexpected happened I was with him every day at the hospital, talking to his medical team, and they were very optimistic about his recovery. I was spending 12 hours a day at the hospital beside my dad, only leaving when he would fall asleep. I didn't want him to be alone, and I wanted to be there when he woke up every day. Then one morning, someone knocked at my door at my parents' house. It was my older brother. I remember telling him, "Gosh, I overslept," and I gave myself a few minutes to get ready. However, my brother responded that Dad had passed away from cardiac arrest that morning. The news was devastating. I didn't eat for four days and had to go through the motions to support my mother and make all the arrangements because she couldn’t do it, and neither could my four brothers. The shock was greater than anyone expected at that time. I couldn’t grieve and had to support the family during the most difficult time. The grieving process was very difficult When I returned to Vancouver several months later, I didn’t have the energy to see friends. I was crying and not responding to phone calls or text messages. I lost my appetite and was sleep deprived, having nightmares and reliving the event, the hospital environment, and my dad being in a hospital bed. I just couldn’t shake the feeling of loss. I was also learning things about my father that I couldn’t reconcile, and the devastation became greater than I imagined. I needed to find a job, however, I couldn't find the motivation to figure out what was going to be next. No one around me could find a way to get me out of that space until one day, I had had enough. I decided I needed to try something new and meet new people who didn’t know me. They wouldn't ask the dreaded question, "How are you doing?" which automatically made me emotional. From hot chocolate chat to connecting with new people 2026 became my yes year. I decided to start a hot chocolate chat, as I don’t drink coffee. I made a post on LinkedIn to open my calendar for no pressure, no pitch decks, just real conversations about ideas, growth, challenges, and what’s next. Honestly, I wasn’t sure anyone would be interested, however, I was pleasantly surprised. Just being open and curious to hear people’s journeys turned into meaningful conversations about collaboration, support, and building community. I was meeting really interesting and fascinating people doing great things in their community, which I believe brought a positive note and gave a shoutout by writing articles about who they are and what they do. It brought me so much joy to focus on other people and show the world that they deserved to be celebrated. I saw them as celebrities making a positive impact on the world and in their local communities. Meeting people for new and exciting opportunities I had no reason to wake up in the morning and focus on anything other than my grief. Through meeting new people, I said yes to being invited to podcasts, yes to more speaking engagements, and yes to writing business articles and coaching people in entrepreneurship. By appearing on podcasts as a guest, I was meeting more and more interesting people from around the world, including the USA, the UK, Australia, Asia, Africa, Mexico, Canada, and Colombia. My network started asking me about starting a podcast. My response was no. I was new to the podcast world, and it wasn't something I was interested in doing. I preferred to be a guest, as it felt like less pressure. I could show up, do my thing, and then move on. Then I met Coach Carrie, who was doing No Pitch Coffee Chat, and I was doing Hot Chocolate Chat. The conversation went so well that we continued to stay in touch. I am in Vancouver, Canada, and she’s from the South Side of Chicago, USA. We started talking every day and doing live shows on Substack for fun, with no pressure. Carrie was already a podcast host for her show, Carrie Connects™, and is a licensed financial coach at Clarity From The Heart™. In addition to being a teacher for over 20 years, her show demystifies financial literacy. Her motto is, "Confusion is expensive, clarity pays for life." Through her coffee chats, she was inspired to start a new podcast, Carrie Connects™, where she showcases really interesting guests she met through her no-pitch coffee chats. She brings together guests from health care, education, entrepreneurship, women in leadership roles, and more. When one conversation led to the Besties Beyond Borders Podcast Carrie and I were doing a live show on her Substack, and she turned the tables on me, saying it was now my turn to ask the question. During her live show, she said to me, "You’re asking great questions that I was never asked before." She then asked me when I was starting a podcast. I responded that I was not interested and that it was not something I would be ready for. Next thing you know, I said yes to Coach Carrie and started a podcast as a co-host called Besties Beyond Borders. Coach Carrie’s favourite colour is pink, and mine is blue, we combined them to represent our different styles. Visit here. Through my 2025 challenges and the loss of community during COVID, which Coach Carrie also experienced, we both found a best friend, a business partner, and a sense of building a new community. From opposite sides of the border, a friendship was born from a simple coffee and hot chocolate chat to saying yes to things that would empower and energize me. I found so much support from Carrie through her positive energy and our shared belief that we can accomplish anything together. There’s not a day we don’t speak. We created a space to build an authentic community beyond borders while growing personally and professionally. Regardless of where you are located, we can still build a mindful relationship. That’s the message we want to spread, that borders don't limit opportunities to connect with amazing people and build a supportive, limitless community. We have big plans for Besties Beyond Borders and can’t wait to share them. Follow me on Instagram, LinkedIn, TikTok, and visit my website for more info! Read more from Laila Belabbas Laila Belabbas, Splish Splash Handmade Products & Executive Coach Laila Belabbas is an Executive Coach, Human Resources Leader, and Entrepreneur passionate about helping people and organizations reach their full potential. With over 15 years of experience in leadership, coaching, and business growth, she brings a human-centered approach to performance and purpose. As the Founder of Splish Splash Handmade Products and Executive Coach In Your Corner, Laila blends strategy with empathy to inspire conscious, authentic leadership. Her articles explore coaching, leadership, entrepreneurship, human resources, and wellness, empowering readers to lead with confidence, purpose, and live with intention.

Written by Craig Edis, Founder Craig Edis is the founder of The Wink Collective, where he helps designers bridge the gap between craft and business. A product leader and service design expert, he empowers designers to develop strategic, professional, and creative skills that make them indispensable across industries. With over two decades in the trenches of design and product leadership, I have seen brilliant ideas turn into industry staples and well funded startups crash into oblivion. The dividing line between these outcomes rarely comes down to who had the flashiest product or the most charismatic CEO. The difference always comes down to methodology. There is a persistent myth that design is simply about making things look pretty. It is a dangerous misconception. Art is about personal expression, but design is about purposeful problem-solving. The methodologies, rigorous processes, and specific mindsets that professional designers use to navigate complex problems are not just creative tools. They are universal best practices for absolute business survival. If you want to build teams that execute flawlessly and products that dominate the market, you need to stop guessing and start operating like a designer. The end of the “we know best” era I have watched countless startups fail for one simple reason, they built solutions for problems that did not exist. According to CB Insights research on startup failure, a staggering 35 percent of startups die because there is no market need for their product. They operate on assumptions rather than evidence. Designers are trained to slay assumptions. Great design starts with profound empathy and active listening. We do not ask users what they want, because users often do not know what they want. Instead, we dig relentlessly to uncover what they actually need. A business that operates on this principle stops wasting millions of dollars developing features based on executive whims and starts building solutions anchored in market reality. The “fail fast” advantage Business inherently hates risk. To mitigate that risk, corporate structures often demand absolute perfection before a product ever sees the light of day. This is a lethal trap. By the time you perfect the wrong solution, your competitors have already captured the market. The design mindset embraces failure as a strategic tool. We treat every idea as a hypothesis that must be validated with logic and data before heavy resources are committed. By creating rapid prototypes and testing them with real users early in the process, we fail fast, learn immediately, and pivot efficiently. Research from Forrester Consulting backs this up. Its Total Economic Impact study on Design Thinking revealed that organizations employing these methodologies cut their time to market in half and saw an ROI of over 300 percent. Validation removes the guesswork and replaces it with profitable certainty. Slaying the ego for collaboration I have seen massive projects break down and talented teams tear each other apart because of a lack of communication and the unchecked egos of a few individuals. In the design world, ego has no place. We recognize that great solutions are not created in isolation. They require the seamless collaboration of marketing, development, sales, and operations. A professional design mindset relies heavily on emotional intelligence. It requires the humility to leave your personal preferences at the door and the confidence to anchor every decision to the core business objectives. When an organization adopts this collaborative standard, subjective arguments over personal tastes evaporate. Teams stop fighting each other and start fighting for the user. Solving the right problems in the business Ultimately, a business exists to solve problems for its customers. Design is the strategic bridge that connects your business goals to your users’ needs. It is function over form. When you apply a service design approach across your entire organization, you stop acting on gut feelings and start building a culture of objective, data-driven growth. The financial impact is undeniable. The McKinsey Design Index, which tracked the design practices of hundreds of companies over a five-year period, found that organizations prioritizing design methodologies increased their revenues and shareholder returns at nearly twice the rate of their industry peers. You do not need to be a designer to leverage the power of design. By adopting a framework built on rigorous research, rapid validation, egoless collaboration, and emotional intelligence, you can elevate your entire organization. The path to overarching business success is already drawn. You just have to be willing to follow the blueprint. If you are ready to stop guessing and start leveraging design as a primary growth lever, The Wink Collective is here to help. Discover more actionable strategies to elevate your career and your organization through the Design For Business course at Wink Academy. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Craig Edis Craig Edis, Founder Craig Edis is the founder of The Wink Collective, where he helps designers bridge the gap between craft and business. A product leader and service design expert, he teaches designers how to communicate value, lead clients, and turn creativity into measurable business impact. Through his Design For Business programs, Craig equips designers with the professional skills and confidence they need to operate strategically and be seen as indispensable. His mission is to redefine professional design, empowering designers to influence decisions, defend bold ideas, and thrive across industries.

Written by Sajdah Wendy Muhammad, Business Advisor Wendy is a multi-million-dollar business and real estate developer, global thought leader, crisis manager, emotional intelligence coach, and award-winning urban historic preservationist. An international entrepreneur, she has pioneered innovative healthcare business models and founded the Mind of an Entrepreneur® brand to empower marginalized communities through wealth-building, business ownership, and sustainable community development. The same technologies capable of expanding healthcare access may also amplify disparities if implemented without intentional governance. Artificial intelligence systems do not emerge independently from healthcare systems. They learn from them. This distinction matters because healthcare data is not merely clinical information. Healthcare data reflects decades of policy decisions, insurance structures, access patterns, provider behaviors, reimbursement models, geographic inequities, and historical discrimination. If historical healthcare systems produced unequal experiences, artificial intelligence systems trained on those experiences may inherit similar distortions. The risk, therefore, is not simply technological failure. The risk is automated inequality. Historical data does not necessarily equal objective data Artificial intelligence systems depend upon historical information to identify patterns. However, historical healthcare data should not automatically be interpreted as objective truth. Healthcare utilization patterns themselves have historically been unequal. Numerous structural factors influence who appears within healthcare datasets, including insurance status, provider availability, transportation access, geographic location, specialist availability, healthcare affordability, institutional distrust, research participation rates, and socioeconomic conditions. This creates an important policy concern. Artificial intelligence systems do not simply learn from disease. They learn from who received care. Communities with reduced healthcare utilization may therefore become underrepresented within datasets used to train future systems. The data availability problem: When underrepresentation becomes infrastructure Training datasets require large volumes of information. However, large datasets do not necessarily produce representative datasets. Lower insurance coverage rates, reduced specialty access, lower diagnostic testing frequency, and reduced participation within research studies may create smaller data footprints for historically marginalized populations. This produces an important question, "If certain populations receive fewer diagnostic tests, fewer specialist referrals, fewer imaging studies, fewer clinical encounters, and fewer opportunities for participation in research, how accurately can future systems learn to identify disease within those populations?" Healthcare utilization itself becomes part of the training data problem. This concern becomes particularly important if artificial intelligence significantly increases healthcare capacity. If future AI systems are used to evaluate larger populations than those represented within original training datasets, policymakers must ask, "Will systems trained on smaller and potentially less representative populations perform equally well when expanded to millions of additional users?" Scaling healthcare capacity without scaling representative data may create new risks. Algorithmic bias is often structural rather than intentional Numerous studies have demonstrated algorithmic bias within healthcare applications. One widely cited example involved healthcare risk algorithms using healthcare spending as a proxy for medical need. Because Black patients historically generated lower healthcare expenditures, not necessarily because they were healthier, but because they often received fewer services, the algorithm systematically underestimated medical need. The consequence was that Black patients with equivalent disease burdens received fewer referrals for advanced care. The issue was that historical spending patterns reflected unequal access rather than equal need. Artificial intelligence systems optimize for patterns. They do not automatically distinguish between correlation and causation, access and need, utilization and disease burden, or spending and illness severity. Without governance, algorithms may unintentionally transform historical disparities into future decision-making systems. Diagnostic accuracy concerns Several emerging concerns suggest that diagnostic performance may vary when healthcare technologies are applied across increasingly diverse populations. Diagnostic accuracy challenges extend beyond simple questions of pigmentation or physical appearance. Healthcare outcomes are influenced by a complex interaction between biological, environmental, social, geographic, and behavioral factors. Artificial intelligence systems attempting to predict disease, identify risk, or recommend interventions must therefore interpret far more than isolated clinical variables. Examples frequently discussed include dermatology systems trained disproportionately on lighter skin tones, pulse oximeter performance differences associated with skin pigmentation, imaging datasets lacking sufficient demographic diversity, predictive risk models demonstrating uneven performance across populations, and facial recognition systems demonstrating different accuracy rates across demographic groups. Human populations may experience meaningful differences in environmental exposures. Communities may experience differing exposure patterns related to pollution exposure, housing conditions, occupational risks, food access, environmental toxins, and neighborhood infrastructure. Environmental conditions influence disease development and progression. Diagnostic systems failing to adequately account for environmental context may produce less accurate predictions. Disease prevalence and population-level risk differences Different populations may demonstrate different prevalence rates for particular diseases or conditions. Examples include hypertension prevalence differences, cardiovascular risk distributions, maternal health complications, diabetes prevalence patterns, and kidney disease incidence. Diagnostic systems trained primarily on populations with different baseline risk patterns may experience performance variation when deployed more broadly. Genetic and biological variation Healthcare systems increasingly recognize that disease expression, medication response, biological variation, environmental exposures, inherited risk factors, and population-level health patterns may influence clinical outcomes. Human populations are not identical in terms of disease prevalence, environmental exposures, physiologic variation, ancestry-related risk factors, healthcare utilization patterns, or social conditions that influence health outcomes. Although race itself may function imperfectly as a clinical variable, healthcare systems have long recognized that population-level differences sometimes influence disease risk, treatment response, and health outcomes. The challenge for artificial intelligence is not simply recognizing difference. The challenge is determining which differences are clinically meaningful, which are social or environmental, which are biologically relevant, and how these factors interact within increasingly diverse populations. Artificial intelligence systems trained without adequate representation or contextual understanding may therefore miss clinically meaningful variation. Rather, healthcare systems must recognize that populations may possess different combinations of ancestry-related risk factors, medication response patterns, inherited conditions, biomarker distributions, disease progression patterns, anatomical variation, physiologic differences, and environmental exposure patterns. Artificial intelligence systems trained without adequate representation may miss clinically meaningful variation. However, representation alone does not fully solve the problem. An equally important challenge involves the accuracy of the clinical standards themselves. Artificial intelligence systems frequently learn from existing clinical guidelines, measurement thresholds, diagnostic criteria, imaging interpretations, and historical physician decision-making patterns. This creates an important policy concern, "What happens when existing standards contain limitations?" Consider aneurysm detection. Certain aneurysm measurement thresholds have historically relied upon standardized diameter thresholds. However, vessel size frequently differs across individuals based on sex, body size, anatomy, and other physiologic factors. A vessel measurement that may not trigger concern in one patient population could represent substantially elevated risk in another. If artificial intelligence systems simply learn existing thresholds without contextual interpretation, systems may reproduce those inaccuracies at scale. This challenge extends beyond aneurysms. Healthcare increasingly recognizes that numerous measurements may vary based on factors such as body size, anatomy, age, sex, genetic variation, environmental exposure, baseline physiology, and comorbidity burden. Artificial intelligence systems therefore face a more complex task than simple pattern recognition. They must determine what constitutes normal, normal for whom, under what conditions, and at what level of risk. This distinction matters because life-threatening conditions often emerge precisely at the margins where standardized thresholds fail. If artificial intelligence systems learn incomplete measurement frameworks, errors may become amplified as systems scale. The future challenge is therefore not simply building larger datasets. The challenge is ensuring that artificial intelligence systems learn from accurate, representative, and context-sensitive frameworks capable of recognizing clinically meaningful variation. Healthcare AI should not merely automate historical standards. It should improve them. Social determinants and behavioral context Disease risk is not determined exclusively by biology. Healthcare outcomes are strongly influenced by income, education, transportation access, healthcare utilization patterns, nutrition, chronic stress exposure, and neighborhood conditions. Artificial intelligence systems trained primarily using clinical variables while ignoring broader context may oversimplify risk prediction. Why small errors become large problems Diagnostic performance matters because healthcare outcomes depend heavily on early detection. Small differences in accuracy rates may produce substantial consequences when applied across millions of patients. A diagnostic model performing only slightly worse within specific populations may generate delayed treatment initiation, increased disease severity at diagnosis, higher hospitalization rates, increased mortality, increased healthcare costs, increased disability rates, and reduced workforce participation. The scaling problem Healthcare leaders frequently promote artificial intelligence because it may dramatically increase capacity. This creates an important policy question. If AI systems allow clinicians to evaluate larger populations, will systems trained on smaller and potentially less representative populations perform equally well when expanded? A system serving one hundred thousand patients incorrectly creates problems. A system serving tens of millions incorrectly creates infrastructure risk. The central question, therefore, is not simply whether artificial intelligence works. The more important questions are, "For whom does it work? Under what conditions? How does performance change at scale? And what are the consequences when those systems fail?" Healthcare AI should not simply increase access. It must increase accurate access. Artificial intelligence may scale representation problems Healthcare leaders frequently emphasize that artificial intelligence may expand capacity. This may be true. However, increased capacity alone does not guarantee equitable outcomes. A biased system capable of serving ten times more people may simply distribute bias more efficiently. Artificial intelligence does not automatically eliminate representation problems. It may magnify them. This creates perhaps the central policy challenge of healthcare AI, healthcare systems must ensure that increased scale does not produce increased inequity. The objective should not merely be larger systems. The objective should be more accurate, more equitable systems capable of improving outcomes across increasingly diverse populations. So the risks are clear, but the story does not end with diagnosis and data. AI's reach extends directly into the workforce itself, and into a much bigger question about money and power, who actually owns the algorithms making these decisions, who profits from the data patients generate every day, and whether Black healthcare professionals and entrepreneurs will be partners in this transformation or simply subjects of it. Part 3 closes the brief by examining the impact on healthcare workers, the ownership economy behind healthcare AI, and the concrete policy recommendations needed to make sure this technology builds equity rather than erasing it. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Sajdah Wendy Muhammad Sajdah Wendy Muhammad, Business Advisor Wendy Muhammad is a multi-million-dollar business developer, Author of the best-selling book, The Art and Science of Business, an Award-Winning Urban Historic Preservationist and Real Estate Developer, with more than $500 million in projects across healthcare, real estate, infrastructure, and community development. Muhammad is a leading voice in empowering entrepreneurs and building generational wealth. Her Mind of an Entrepreneur brand includes podcasts, workshops, and books that blend strategy, spirituality, and economic empowerment.

Written by Rosie Hewat, Founder & CEO of Rosie’s People Rosie Hewat is a Board and Executive Advisor and the Founder & CEO of Rosie’s People, a leadership and organisational advisory platform. She works with founders, boards, and senior leaders navigating complexity, scale, and high-stakes decision-making across global and regulated environments. Much of the conversation about AI has focused on productivity. How much time can it save? Which tasks can it automate? How many people can an organisation operate with if AI is doing some of the work? These are important questions, but I believe we may be overlooking a more fundamental one. What happens when AI removes the very work that teaches people how to become experts? This question has become increasingly relevant as organisations accelerate AI adoption while simultaneously reducing entry level hiring. Research cited by the World Economic Forum suggests that entry level positions represented approximately 38.6% of available jobs at the beginning of 2026, down from 44% only a few years earlier. Meanwhile, Stanford Digital Economy Lab research found that early career professionals aged 22 to 25 working in occupations highly exposed to generative AI have experienced a 13% relative decline in employment. Revelio Labs data also suggests that entry level white collar job postings have fallen significantly over the past eighteen months. The immediate concern is obvious, fewer opportunities for graduates and early career professionals. The longer term concern is less obvious, but potentially more significant. If fewer people are entering professions at the beginning, where do future experts come from? Every expert was once a beginner Every profession has traditionally relied on some form of apprenticeship, whether formal or informal. Lawyers may begin by reviewing contracts, disclosures, and case files. Accountants often start by reconciling accounts, analysing transactions, and understanding financial controls. Recruiters screen hundreds of CVs and conduct countless interviews. Software engineers write code, fix bugs, and investigate why systems fail. Yet simply performing these tasks is not what creates expertise. A junior lawyer does not automatically learn risk by reading a contract. They learn because a more experienced lawyer reviews their work, challenges their conclusions, highlights what they missed, and explains why it matters. A recruiter develops judgment not merely by conducting interviews, but by learning from hiring managers, senior recruiters, successful placements, failed placements, and the countless decisions that are reviewed and refined over time. The same principle applies across professions. Experience alone is not enough. What matters is guided experience. Much of what transforms knowledge into expertise happens outside formal education. Universities, colleges, and training programmes provide important foundations, but they cannot fully replicate the realities of the workplace. Professional capability is developed through exposure, observation, mentorship, coaching, correction, and practical application. It happens when a junior employee sits alongside someone who has already encountered the problems they are facing. Someone who can explain not only what to do, but why. Someone who can spot mistakes before they become habits. Someone who can provide context, challenge assumptions, and accelerate learning in ways that no textbook, certification, or AI generated answer can fully replicate. In many professions, the apprenticeship is not simply about learning how to complete a task. It is about learning how to think. It is the gradual transfer of judgment, confidence, context, and experience from one generation of professionals to the next. In other words, expertise is rarely downloaded. It is developed. Throughout my career, I have rarely met a senior leader who could not point to a period early in their career when they learned lessons that no textbook could teach. Often, it was the repetitive work, the mistakes, the difficult conversations, and the seemingly mundane tasks that ultimately shaped their judgment. Just as often, however, it was the people they encountered along the way. Most of us can point to someone who influenced how we think about our profession. Someone who showed us what good looked like. Someone who challenged us, corrected us, encouraged us, or inspired us to aim higher than we otherwise might have done. More than twenty years ago, one of those people for me was Sylvia Clovey, a Black female HR Director at Community, the trade union where I worked early in my career. It was not simply her technical expertise that left an impression. It was her integrity, her commitment to facts and accuracy, and the way she approached difficult situations with professionalism and fairness. It was also the importance and emphasis she placed on relationships. Watching someone operate at that level helped shape my own understanding of what great HR and People Ops leadership could look like. These influences matter because careers are not built through knowledge alone. They are built through observation, mentorship, challenge, encouragement, correction, and example. We learn not only from the work itself, but from the people around us. We learn what good judgment looks like. We learn how to navigate complexity. We learn how to handle mistakes. We learn how to lead. The concern is not that AI removes work. It is that it may remove some of the experiences, relationships, and opportunities through which professional confidence, judgment, and capability are traditionally built. After all, AI itself had to be trained by humans in the first place. Those humans learned from other humans before them. Knowledge, judgment, expertise, and professional values have always been transferred from one generation to the next through a combination of experience, mentorship, and practice. Technology may change how that transfer happens, but it does not eliminate the need for it. The challenge is that many of the activities traditionally associated with early career development are precisely the activities organisations are now seeking to automate. At first glance, this seems entirely logical. After all, nobody enters a profession because they enjoy repetitive spreadsheets, document reviews, data reconciliation, or administrative work. Yet there is a danger in assuming that work we dislike is therefore work without value. The grunt work fallacy One of the most common assumptions surrounding AI is that eliminating routine work automatically creates better opportunities. The logic appears sound. If a junior employee no longer spends hours gathering information, reviewing documents, preparing reports, or conducting basic research, surely they can spend that time doing more valuable work. Perhaps. But this argument assumes that repetitive work exists purely to produce an output. Research into expertise development suggests something different. Professor K. Anders Ericsson’s work on deliberate practice demonstrated that mastery emerges through repeated exposure, feedback, correction, and refinement. In cognitive psychology, these repetitions contribute to what is known as schema formation, the mental frameworks that help individuals recognise patterns, identify anomalies, and make increasingly sophisticated decisions. Expertise is not simply knowledge acquisition. It is the accumulation of thousands of small learning loops. When a junior accountant manually reviews hundreds of transactions, they are not simply processing data. They are developing pattern recognition. When a junior lawyer reviews disclosure documents, they are not simply reading files. They are learning how risk presents itself in practice. When an HR professional handles employee cases, they are not simply following a process. They are developing judgment, empathy, and contextual decision making. The repetition itself is part of the learning. The work teaches the worker. This creates one of the most important questions facing organisations today, "If AI removes the work, what replaces the learning?" The disappearing first rung The evidence suggests this concern is no longer theoretical. Recent labour market research points to a significant contraction in entry level opportunities across many knowledge based professions. Deloitte’s 2026 enterprise AI research indicates that many organisations are actively reassessing entry level hiring as automation capabilities mature. Stanford’s Digital Economy Lab identified a measurable decline in employment among workers aged 22 to 25 in occupations most exposed to generative AI. Meanwhile, employers across professional services, technology, marketing, finance, and legal sectors continue to seek productivity gains through automation and AI assisted workflows. Importantly, this shift is not primarily occurring through mass layoffs. Instead, it is happening through slower hiring, smaller graduate intakes, fewer junior positions, and reduced recruitment pipelines. The first rung of the career ladder is not disappearing overnight, but it does appear to be getting narrower and while this may improve short term efficiency, it raises a difficult strategic question. If organisations significantly reduce junior hiring today without deliberately redesigning how capability is developed, where will their future managers, specialists, and leaders come from tomorrow? The hidden recruitment shift The picture becomes even more complex when we examine how organisations are hiring. Data from UK labour market studies suggests that publicly advertised graduate vacancies have fallen sharply. However, direct employer hiring has not declined at the same rate. Instead, recruitment is increasingly moving into private channels, graduate programmes, apprenticeship schemes, university partnerships, internal referrals, and direct talent pipelines. In many ways, the market is becoming less visible rather than disappearing entirely. Part of this shift appears to be a response to the volume of AI assisted applications now flooding public job boards. Employers are increasingly seeking alternative ways to identify talent and reduce noise within the recruitment process. The challenge is that these routes are often harder to access for individuals who lack professional networks, industry connections, or knowledge of how these systems operate. This creates a new form of inequality, not necessarily an inequality of capability, but an inequality of access. The experience bottleneck These shifts are also becoming visible in ways that labour market statistics alone struggle to capture. In my own recruitment work, I have noticed a growing number of candidates applying for roles despite openly acknowledging that they do not meet the requirements. In many cases, they are not expecting to secure the position itself. They are simply searching for an opportunity to gain experience, secure an internship, or find some way of entering a workforce that increasingly demands experience before experience can be obtained. Increasingly, I am finding that potential is not the problem. Opportunity is. The challenge has become circular. Employers want experience. Graduates need opportunities to gain experience. Yet the pathways that historically bridged that gap appear to be narrowing. As a result, many young professionals are taking roles completely unrelated to their studies or long term career ambitions simply because those are the opportunities available. For some, this becomes a temporary detour. For others, it becomes a permanent redirection of their careers. One experience has stayed with me in particular. A candidate once offered to pay for the opportunity to work within my business. I declined immediately, but the conversation was revealing. It felt less like a negotiation and more like a reflection of how desperate some individuals have become to gain the experience that employers increasingly demand. When people begin offering to pay for experience rather than being paid to gain it, it may be a sign that the traditional pathways into professional careers are under greater strain than many organisations realise. The judgment problem Perhaps the most overlooked challenge is what I would call the judgment problem. Increasingly, junior professionals are being asked to review, refine, validate, and critique AI generated outputs. On the surface, this appears to represent more advanced work. The reality is more complicated. Effective judgment requires deep understanding. Understanding often comes from doing. One observation from the research stood out to me more than any other, the editor must first understand the craft of the producer. In practical terms, it is difficult to evaluate whether something is correct if you have never learned how it is created. Can a junior lawyer confidently challenge an AI generated legal argument if they have never developed the discipline of constructing one themselves? Can a junior accountant identify subtle financial errors if they have never manually worked through the underlying calculations? Can a junior HR professional properly assess an AI generated employee relations recommendation without understanding the realities of human behaviour, organisational politics, and workplace risk? AI can generate outputs. Human judgment still depends on experience. The question is whether we are creating enough opportunities for that experience to develop. This challenge becomes even more complex when viewed through the lens of regulation. If organisations are asking increasingly inexperienced employees to exercise higher levels of judgment, oversight, and accountability, they are doing so at the same time that employment regulation is becoming more demanding and workforce decisions are becoming more scrutinised. The result is a growing tension between the speed at which technology is changing work and the caution with which organisations are expected to manage people. As AI accelerates change, regulation is increasingly asking organisations to move more deliberately. Navigating both realities simultaneously is becoming one of the defining leadership challenges of the modern workplace. The regulatory compounding effect The challenge is further complicated by changes in the regulatory environment. In the UK, the implementation of the Employment Rights Act 2025 introduces stronger employment protections and additional workforce obligations that many employers expect will increase employment costs. The result is a tension that many leadership teams are already grappling with. As the cost and complexity of employing people increase, the commercial case for automation becomes stronger. This does not mean organisations are choosing technology over people. But it does mean that workforce decisions are increasingly being influenced by a combination of technological capability, economic pressure, and regulatory change. Together, these forces may further accelerate the reduction of traditional entry level opportunities. The leadership pipeline risk This issue extends far beyond graduates and junior employees. It may ultimately become a leadership challenge. Historically, organisations built future leaders by creating pathways through which people could gain experience, build credibility, and gradually assume greater responsibility. In our advisory work at Rosie’s People, we increasingly find ourselves helping leadership teams navigate a challenge that sits at the intersection of workforce strategy, technology adoption, and long-term capability development. The question is no longer whether AI should be adopted. Increasingly, the question is how organisations continue to develop capability while work itself is changing. Because leadership pipelines do not appear automatically. They are built through years of accumulated experience, mentorship, exposure to complexity, and opportunities to practise judgment in progressively more challenging environments. Research from Gartner and other workforce analysts suggests that many organisations are becoming increasingly concerned about succession planning and leadership development. If organisations reduce junior hiring today, they may not feel the consequences immediately. The impact may emerge three, five, or even ten years later, when there are fewer experienced individuals ready to step into management and leadership positions. The challenge is not simply replacing tasks. It is sustaining the systems that create capability. The contrarian view Of course, there is another side to this argument. Some researchers and business leaders argue that AI is not destroying apprenticeship at all. Instead, they believe it is accelerating it. From this perspective, AI allows junior employees to bypass years of administrative work and engage with higher value thinking much earlier in their careers. Rather than spending hours preparing data, they spend time interpreting it. Rather than writing first drafts, they evaluate and improve them. Rather than gathering information manually, they focus on decision making. There is merit to this argument. Empirical studies from Harvard and Wharton examining what researchers describe as the “skill compression effect” suggest that generative AI can significantly improve the performance of less experienced workers, narrowing the capability gap between novices and experts in certain tasks. AI can also be an extraordinary learning tool. It can provide instant feedback, explain complex concepts, simulate real world scenarios, and act as an always available coach. Some organisations are actively redesigning junior roles around these capabilities rather than eliminating them entirely. The question is not whether AI can accelerate learning. The question is whether organisations are intentionally designing for that outcome, or whether they are simply removing work and hoping development takes care of itself. These are not the same thing. Towards the AI augmented apprenticeship Perhaps the answer is not to preserve traditional apprenticeship models exactly as they existed before. Nor is it to eliminate them entirely. Perhaps the future lies somewhere in between. An AI augmented apprenticeship recognises that routine work still has developmental value while also acknowledging that technology can accelerate learning when used intentionally. Instead of asking how AI can replace junior employees, organisations might ask how AI can help develop them faster. Instead of removing learning loops, they might redesign them. Instead of replacing mentorship, they might strengthen it. As someone who spends much of my time speaking to employers, candidates, founders, and leadership teams, I increasingly find myself sitting in the middle of a conversation where each group sees a different part of the problem. Employers are seeking productivity and efficiency. Graduates are seeking opportunity. Governments are investing in skills and apprenticeships. Yet all three groups are reacting to a labour market that is evolving faster than traditional workforce models were designed to accommodate. The most successful organisations may ultimately be those that understand a simple truth, technology can accelerate capability, but it cannot eliminate the need to build it. Conclusion AI is transforming how work gets done, and it is here to stay. What remains less clear is how future expertise will be developed if many of the traditional pathways into professional competence continue to shrink. Every expert was once a beginner. Every leader was once inexperienced. Every specialist once relied on someone else to teach them how the work really worked. The question is not whether AI changes how expertise develops, it already has. The question is whether organisations are intentionally designing new pathways to replace the ones they are removing. Because if we eliminate the first rung of the ladder, we should not be surprised when fewer people reach the top. If fewer people reach the top, the question may not be whether AI changed the workforce, but whether we unintentionally weakened the system that develops the people needed to lead it. Follow me on LinkedIn, and visit my website for more info! Read more from Rosie Hewat Rosie Hewat, Founder & CEO of Rosie’s People Rosie Hewat is a Board and Executive Advisor and Founder & CEO of Rosie’s People, a leadership and organisational advisory platform. A former Group Chief People Officer and Non-Executive Director, she has supported leadership teams and boards operating in high-growth and regulated environments. Rosie is also a trustee and an Executive Contributor to Brainz Magazine, where she writes on leadership, governance, power, and organisational risk. References: World Economic Forum (2026), AI-related leadership crisis and workforce development research. Stanford Digital Economy Lab, The Iceberg Index and workforce exposure to generative AI. Revelio Labs, entry level labour market and hiring trend analysis. Deloitte, State of AI in the Enterprise (2026). Gartner HR Research (2025 to 2026). CIPD Labour Market Outlook (2026). UK Employment Rights Act 2025 and implementation guidance. Ericsson, K. A. et al., The Cambridge Handbook of Expertise and Expert Performance. PwC Workforce Hopes & Fears Survey. Institute of Student Employers, ISE Graduate Recruitment Survey.

Written by Yaryna Carpenter, PCC ICF Executive, Leadership & Team Coach Yaryna Carpenter is a PCC ICF Executive, Leadership and Team Coach working with leaders and teams in high-trust, reputation-sensitive environments. She helps clients strengthen clarity, communication, cultural intelligence, and better judgment as they grow and scale globally. AI is no longer a future facing experiment. It has moved from innovation labs into inboxes, workflows, customer service, HR processes, analytics, decision making, and everyday knowledge work. For organisations trying to keep pace with competitors, or become market leaders, the pressure to implement AI is real. The promise is compelling, higher productivity, faster decisions, lower costs, better customer experience, and new routes to growth. The data tells a clear story. According to Stanford’s 2025 AI Index, 78% of organisations reported using AI in 2024, up from 55% the year before. Microsoft and LinkedIn found that 75% of global knowledge workers were already using generative AI at work in 2024. McKinsey reported in 2025 that almost all companies were investing in AI, yet only 1% considered themselves mature in its use. This is the paradox of AI transformation, adoption is accelerating, but readiness is not keeping pace. Leaders are asking, “How quickly can we implement AI?” Employees are often asking a different question, “What does this mean for me?” The space between those two questions is where resistance begins. In my previous article, “Is Human Coaching Becoming the New Luxury in the Age of AI?”, I explored why human coaching may become even more valuable as technology accelerates work. AI can support reflection, preparation, and pattern recognition. But deep transformation still requires trust, presence, meaning, ethics, and human judgement. This article continues that conversation from inside the organisation. Because if AI is changing the future of work, it is also changing how people experience work. When organisations introduce AI too quickly, too technically, or without enough participation, resistance is not a sign that people are against innovation. It is a sign that the human side of transformation has not yet been fully addressed. AI changes the emotional contract at work For executives, AI may look like strategic progress. For employees, it may feel like a direct question about their role, competence, and future value. Will my job still exist? Will my expertise still matter? Will AI replace parts of my work? Will I be monitored more closely? Will I be expected to learn faster than I can adapt? Will I still have a voice in decisions that affect me? These questions are rarely voiced so directly in formal meetings. They appear in quieter forms, hesitation, cynicism, low engagement, passive compliance, or a return to familiar ways of working. They are not irrational questions. They are human questions. AI is different from many previous technology implementations because it does not only change process. It touches identity. It challenges people’s sense of competence. It raises questions about control, judgement, security, and value. A new platform may change how people work. AI can change how people understand their place in the organisation. That is why AI implementation cannot be managed only as a technical project. It is also a psychological, cultural, and leadership transition. The illusion of readiness Many organisations believe they have prepared people for change because they have communicated the change. Employees receive announcements. They attend presentations. They complete training. They hear how AI will make work faster, easier, and more efficient. But communication is not the same as participation. Often, employees were not involved in shaping the decision. They did not help define the problem AI is meant to solve. They did not discuss the risks. They did not explore how AI would affect their daily work. They did not have a meaningful space to express concern. They did not influence how the change would be implemented. From the leadership perspective, people were kept informed. From the employee perspective, the change arrived. That distinction matters. Knowing about change is not the same as being ready for change. People may understand the business case and still not feel safe. They may complete the training and still not feel confident. They may say “yes” in a meeting and quietly continue working in the old way. Information can create awareness. It does not automatically create ownership. Adoption metrics do not tell the whole story Most AI implementation plans track visible progress, tools deployed, licences activated, training completed, usage rates increased, and processes redesigned. These metrics are useful. But they are incomplete. A person can use an AI tool without trusting it. A team can complete training without feeling confident. A department can adopt a platform without understanding how it changes responsibility, judgement, or collaboration. An organisation can implement AI and still fail to build the human capability required to use it well. This is where many AI transformations become fragile. The dashboard suggests movement. The culture tells another story. Deloitte’s 2026 State of AI in the Enterprise report found that worker access to AI rose by 50% in 2025. Yet the same conversation around enterprise AI increasingly focuses on workforce readiness, governance, responsible use, and the challenge of moving from pilots to scale. In other words, access is growing faster than adaptation. That is a business risk. Because AI transformation does not fail only when the technology fails. It also fails when people do not trust it, understand it, feel included in it, or see themselves in the future it creates. Resistance is not the enemy Resistance is often treated as a barrier to be removed. In reality, it may be one of the most useful signals leaders receive. When people resist AI or new technology, they may be saying, “I was not included.” “I do not understand what this means for me.” “I do not feel safe.” “I am afraid my value will decrease.” “I do not trust how this tool will be used.” “I need more time and support.” “I am tired of constant transformation.” These reactions should not be dismissed as negativity. They often reveal where trust is thin, where communication has not gone deep enough, and where basic human needs have not been addressed. The danger is that organisations respond to resistance by increasing pressure, more reminders, more deadlines, more training, and more messaging. But if the real issue is fear, exclusion, or lack of trust, pressure rarely creates commitment. It creates compliance. Compliance is not transformation. Basic human needs shape AI adoption People do not move through change only with logic. They move through change through their basic human needs. During AI transformation, people need to feel safe, included, respected, competent, valued, informed, connected, and able to influence what affects their work. When these needs are threatened, resistance becomes a protective response. If people do not feel safe, they protect themselves. If they do not feel included, they distance themselves. If they do not feel competent, they avoid exposure. If they do not feel valued, they disengage. If they do not see meaning, they comply without commitment. This is why diagnostic tools can be valuable before and during transformation. Leaders need ways to understand not only what people think about the change, but what they need emotionally and motivationally in order to engage with it. There are many diagnostic approaches that can support this work. In my own practice, I use AgileBrain because it helps identify emotional and motivational patterns that may not be openly expressed in meetings, surveys, or formal feedback. Someone may say, “We need more training,” while the deeper need is confidence. Someone may say, “This tool will not work,” while the deeper need is trust. Someone may say, “We are too busy,” while the deeper need is stability and support. Someone may stay silent, while the deeper need is psychological safety. When leaders understand these deeper needs, they can respond with more precision. They can stop asking, “Why are they resisting?” and begin asking, “What has not yet been heard?” That shift changes the quality of leadership. Participation creates ownership People are more likely to support what they helped shape. This does not mean every employee must be involved in every strategic decision. Leadership still has to lead. But people need meaningful opportunities to contribute before, during, and after implementation. Before introducing AI, leaders can ask, "What are people worried about? Where do they see opportunities? Which tasks could AI genuinely support? What risks do they see that leadership may not see? What would help them feel safe enough to experiment? What support do they need to adapt?" These questions may seem simple. But they change the emotional architecture of change. The change is no longer something done to people. It becomes something built with them. That matters because AI adoption is not only about learning a tool. It is about renegotiating how people make decisions, use judgement, collaborate, create value, and understand their contribution. From adoption to adaptation Many AI implementation plans focus on adoption, who logged in, who completed training, who used the tool, and who followed the new process. But adoption is only the beginning. A person can adopt a tool because they have to. Adaptation happens when they begin to understand how the change fits into their role, their judgement, their confidence, and their sense of professional value. This is where professional coaching can add significant value. Coaching does not replace training, communication, governance, or leadership accountability. It supports the human adaptation that sits underneath them. In AI transformation, people may need space to examine what the change means for their habits, identity, and contribution. They may need to move from “What is happening to me?” to “How can I engage with this in a way that is meaningful, responsible, and useful?” Professional coaching, especially when aligned with ICF standards, brings ethics, trust, partnership, active listening, awareness, and growth into the change process. For leaders, coaching can strengthen the quality of conversations around AI. It helps them listen before persuading, include before instructing, and build trust before expecting commitment. For employees, coaching can support clarity, confidence, and agency. It helps them identify what feels uncertain, what remains within their control, what support they need, and what new skills or mindsets they want to develop. AI may help organisations process more information. Human coaching helps people integrate change into their thinking, choices, and behaviour. That is where real transformation begins. The real reason people resist AI People do not resist AI simply because it is new. They resist when they feel excluded from decisions that affect their work, identity, and future. They resist when they are informed but not involved. They resist when leaders speak about efficiency, but employees hear threat. They resist when training is provided, but psychological safety is missing. They resist when organisations focus on adoption metrics but ignore human emotions. Successful AI transformation requires more than a rollout plan. It requires participation, trust, clarity, and support. It requires leaders to understand that people are not simply users of technology. They are interpreters of change. Final thought The real test of AI implementation is not whether an organisation can introduce the technology. Most organisations can purchase the platform, appoint the project team, schedule the training, and report the adoption numbers. The harder question is whether they can create the conditions in which people are willing to trust the technology, question it intelligently, learn it with confidence, and use it responsibly. That is where many AI transformations will succeed or fail. Beneath every implementation plan, there is a quieter human story. There is uncertainty about roles. There is fear of becoming less relevant. There is fatigue from constant change. There is curiosity, too, but often it remains hidden when people do not feel safe enough to ask, experiment, or admit what they do not yet understand. Leaders who want AI to become more than another tool in an already crowded workplace need to look beyond rollout schedules and adoption dashboards. They need to pay attention to what is happening beneath the surface. Where is there hesitation? Where is there mistrust? Where is there silence? Where is there energy that has not yet been invited into the process? AI may accelerate the speed of work, but people will determine the quality of that acceleration. When organisations involve employees early, listen with seriousness, diagnose what people need, and support them through adaptation, AI implementation becomes more than a technical upgrade. It becomes a collective transition. The advantage, then, will not belong only to organisations with the most advanced tools. It will belong to those that create the human readiness to use them well. Follow me on Instagram and LinkedIn for more info! Read more from Yaryna Carpenter Yaryna Carpenter, PCC ICF Executive, Leadership & Team Coach Yaryna Carpenter is a PCC ICF Executive, Leadership and Team Coach working with leaders and teams in high-trust, reputation-sensitive environments. She helps clients strengthen clarity, communication, cultural intelligence, and better judgment as they grow and scale globally. With over 20 years of international experience, Yaryna brings a structured, human-centred approach to leadership, team performance, and cross-cultural growth.

Written by Jodi Smith, Nationally Recognised Nutritionist Jodi Smith is a Nationally Recognised Nutritionist and Pro Natal Specialist, renowned for creating sustainable behavior changes for women. Specialising in women's health and wellness, Jodi is pioneering the revolution of raising the standards of training and recovery during the pro natal phases of life. I left the hospital seven days after a less than ideal labour and delivery. There was no clear recovery plan and very little explanation of the physical trauma my body had just endured. Yet I walked out eager and excited to step into this glorious next phase of life, with a beautiful baby girl in tow. Motherhood is natural, right? What more information could I possibly need? I had read the books, listened to the podcasts, attended the birthing classes, and had 8.5 years of child development experience under my belt. I thought I had it all figured out. The truth, however, was that those first few weeks of motherhood did not feel natural at all. That realisation was both terrifying and disappointing. I struggled to feel at peace in the mind and body I was occupying, which led me on a search for my own village and answers about postpartum recovery. What I found was an overwhelming amount of information centred on “how to bounce back in six weeks” and “how I’ve had five children and still have a flat stomach” (insert my best eye roll here). On the contrary, what I found was the lack of genuine information and not enough conversation around holistic postpartum healing, and the reality that recovery for many women can take months, and sometimes years. Despite growing awareness around maternal mental health and physical recovery, many women are still discharged from hospital with minimal education on what evidence based postpartum recovery should actually look like. The postpartum period, often referred to as the fourth trimester, is not about returning to who you were before having children. It is about rebuilding, recovering, and learning to care for a completely new version of yourself. Here are three things every mother should prioritise instead of chasing the pressure to “bounce back.” Prioritise postpartum nutrition and healing This is one of the most critical components of postpartum recovery and one that is often overlooked. As a nationally recognised nutritionist, I encourage new mothers to view food as an essential part of their recovery toolkit rather than simply fuel. Your body has just performed one of the most physiologically demanding events it will ever experience, and it deserves to be nourished accordingly. I plead with you, skip the fast food “push present meal” you may be craving. Your entire body and mind need to be nourished as though they are a temple, with healing foods, nourishing broths, and nutrient dense meals that support digestion, hormonal balance, tissue repair, and energy production. Not only do these foods support your own postpartum healing, but if you choose to breastfeed, they also contribute to the foundational wellbeing of your baby. Nutrition also plays a significant role in maternal mental health, making it one of the foundational pillars of postpartum recovery. Pelvic floor rehabilitation: An essential part of postpartum recovery Pelvic floor conditions can create lifelong discomfort for some women, including incontinence, prolapse, and persistent pelvic pain. Most of us have heard of Kegel exercises, perhaps even during birthing classes. However, traditional Kegels often address only one component of pelvic floor recovery. Optimal pelvic floor rehabilitation involves restoring strength, coordination, relaxation, and function. If you have been told that leaking urine during exercise, coughing, or laughing is simply part of motherhood, please know this, it may be common, but it is not normal, and it is not something you simply have to accept. Seek support from a women’s health physiotherapist or a qualified pre and postnatal fitness specialist. Restoring pelvic floor function should be one of your top physical priorities during postpartum recovery. You deserve to move, laugh, exercise, and live your life without discomfort or embarrassment. Why returning to exercise too quickly can delay postpartum recovery Many mothers naturally feel the pressure to “get back to the gym” or believe they need to “train more to lose more.” However, emerging research suggests that excessive exercise during early postpartum recovery may contribute to increased fatigue, prolonged recovery times, elevated stress hormones, and delayed tissue healing. Exercise during the postpartum period should focus on rehabilitation before performance. New mothers benefit most from a slow and steady approach to movement. Working with a postnatal specialist who can design an individualised rehabilitation program is often one of the safest and most effective ways to return to exercise. Walking daily is one of the most underrated tools for rebuilding physical stamina, improving circulation, supporting mental health, and gently restoring confidence in your body. The goal of postpartum exercise should never be punishment. It should be recovery. The world is quick to tell mothers what they need to do to return to their pre-baby bodies and “bounce back” within six weeks. But women do not need more pressure. They need time. They need support. They need evidence-based guidance and realistic expectations of what postpartum recovery actually looks like. The fourth trimester should not be measured by how quickly a woman loses weight or fits back into her jeans. It should be measured by how well she heals, nourishes herself, restores function, and rebuilds confidence in her new identity. Perhaps it is time we stop asking mothers how quickly they can bounce back and start asking how well they are recovering. Because postpartum recovery is not about returning to the woman you once were. It is about caring for the woman you are becoming and that is something worth protecting. Follow me on Instagram, and visit my website for more info! Read more from Jodi Smith Jodi Smith, Nationally Recognised Nutritionist Jodi Smith is a Nationally Recognised Nutritionist and Pro Natal Fitness Specialist, providing elite one-to-one coaching and training. With special focuses on fueling athletes for superior performance, and serving pregnant and postpartum clients through birth preparation and recovery, Jodi prides herself on fully customised care that reflects the needs of each client. Her mission: accessibility to nutritional education for all and improving the standard of women's health post-childbirth.