Written by Genna Barbara Zimmel, Guest Writer and Executive Contributor AI is becoming increasingly capable of reasoning, creating, and automating complex tasks. But as technology becomes more powerful, the skills that determine whether organizations can successfully use it are becoming increasingly human. The future of AI will not only be defined by better models. It will be defined by the people who understand context, communicate clearly, build trust, and know how to translate human needs into effective systems. AI will automate more execution, but that will increase the value of human judgment. Emotional intelligence is becoming a critical implementation capability because organizations do not adopt technology. People do. What happens when AI takes over the thinking work? For the last two years, the conversation around AI has centered on capability: what it can reason through, create, and automate. But as that capability keeps expanding, a strange thing is happening in parallel: the demand for distinctly human skills isn't shrinking. It is accelerating. LinkedIn's 2026 Skills on the Rise report found that the fastest-growing skills in the U.S. workforce now split into two nearly equal tracks: technical AI capabilities like prompt engineering, and human-centered skills like executive communication, leadership influence, and cross-functional collaboration. A Harvard Business School analysis of nearly every U.S. job posting from 2019 through March 2025 found something that captures this shift precisely: structured, repetitive cognitive roles declined 13%, while demand for analytical, creative, and leadership-intensive work grew 20% over the same period. The World Economic Forum's Future of Jobs Report 2025 projects that employers expect 39% of workers' core skills to change by 2030. The same report places empathy and active listening among the skills that complement its top 10 core competencies, alongside technological literacy and lifelong learning, reflecting what the report's authors describe as the need to balance hard and soft skills as AI adoption accelerates. SHRM's 2025 research adds a sharper data point: 80% of HR professionals say active listening is an acceptable skill for candidates to have developed through non-degree pathways, such as work experience or coaching, rather than formal credentials, placing it among the most widely recognized interpersonal skills in hiring today. A companion SHRM analysis found that critical thinking, active listening, coordination, and judgment and decision-making are increasingly valued specifically as AI takes on more routine work. Emotional intelligence: An implementation skill, not just a leadership one Most conversations about emotional intelligence at work still frame it as a leadership trait: the ability to manage a team well, read a room, stay calm under pressure. That framing is incomplete now. Through my work exploring AI implementation, automation, and digital transformation, one pattern has become increasingly clear: the biggest challenges are rarely only technical. They are behavioral, organizational, and human. As AI systems increasingly interact directly with customers, employees, and decision-makers, understanding human context, intent, and hesitation determines whether that system creates real value or just sits unused. This shows up constantly in practice. An AI agent can be built correctly and still fail if nobody accounted for how a stressed employee will actually talk to it, or what a hesitant customer needs to hear before they trust an automated response. Reading that correctly and designing for it is an emotional intelligence skill applied to a technical problem. It's quietly becoming one of the most valuable things an implementation specialist can bring to the table. The real advantage belongs to people who can bridge both worlds LinkedIn's 2026 data introduces a useful term for this: "skill stackers". These are professionals who combine a technical core (AI literacy, data fluency) with a human layer (communication, judgment, stakeholder management) rather than specializing narrowly in either. Neither layer alone creates a sustainable advantage. Together, they become significantly more valuable. This tracks with what's happening on the ground. Upwork's 2026 In-Demand Skills report found that skills explicitly tied to applying AI within existing roles grew 109% year-over-year, not AI development in isolation, but AI applied by people who already understand the domain it's being used in. Domain knowledge, communication, and judgment aren't soft additions to technical work anymore. They're what determines whether the technical work actually lands. AI is increasing the value of human connection, not reducing it There's a reasonable fear that automation quietly makes human connection less necessary. The data doesn't support that. Upwork's research found that even in categories widely assumed to be vulnerable to automation, such as coding, creative work, and customer support, demand for human expertise has remained consistently strong rather than declining, even as AI-enabled skill demand more than doubled in the same period. What seems to be happening instead is a redistribution, not a replacement. As automation absorbs more information-processing and execution work, the things AI still cannot fully replicate, such as building trust, reading unstated needs, navigating disagreement, and collaborating across teams with competing incentives, become sharper differentiators. Microsoft's 2026 Work Trend Index captured this directly: when asked which human skills are becoming more important as AI takes on more work, professionals ranked quality control of AI output and critical thinking at the top of the list. Judgment isn't being automated away. It's being asked to do more. Successful AI adoption depends on psychology as much as technology This is the piece most organizations still underestimate. Multiple industry reports have highlighted that AI initiatives often struggle to deliver expected business value, with common challenges including unclear objectives, poor integration into workflows, insufficient organizational readiness, unclear communication, unmanaged resistance to change, and a failure to build genuine trust in the new systems being introduced. I've seen this pattern firsthand in CRM and AI implementation work. The technology is rarely the hard part. The hard part is helping people trust a new system enough to actually change how they work, and that requires exactly the skills this article started with: empathy, clear communication, and the ability to read what people aren't saying out loud. Organizations that treat AI adoption as a purely technical rollout are the ones most likely to struggle. The ones that treat it as a change management process, grounded in real understanding of fear, uncertainty, and behavior, are the ones actually positioned to make it work. Carol Dweck, the Stanford psychologist behind the concept, distinguishes between a fixed mindset, which views ability as static, and a growth mindset, which recognizes that capability can be developed through learning, effort, experimentation and exposure to challenges. This concept has become widely influential in business and leadership education, including my own MBA studies. The WEF's finding that resilience, flexibility, and agility are among the fastest-growing skills employers demand can be viewed as a reflection of this mindset at an organizational level. The ability to learn, adapt, and evolve will increasingly determine whether individuals and organizations successfully navigate AI transformation or resist it. The human advantage in an AI-enabled workplace AI can process information at a scale and speed beyond human capability. The things AI still cannot fully replicate, such as building trust, reading unstated needs, navigating disagreement, and collaborating across teams with competing incentives, become sharper differentiators. That interpretive work, the very human work of meaning-making, is becoming one of the defining competitive advantages of the AI era. The professionals who thrive over the next decade won't be the ones who avoided learning AI, and they won't be the ones who learned AI but nothing else. They'll be the ones who understood, early, that the technology was never the whole job. If your organization is navigating this shift and the human side of the transition hasn't gotten the same attention as the technical side, I'd welcome the conversation. You can find more on my website or connect with me directly on LinkedIn! Read more from Genna Barbara Zimmel Genna Barbara Zimmel, Guest Writer and Executive Contributor Genna Zimmel is a Technical Project Manager and founder of Torus Solutions, specializing in AI implementation, CRM architecture, and digital systems transformation. She works with organizations exploring how AI can be integrated into real-world workflows, combining technical systems thinking with a focus on human behaviour, adoption, and organizational change. Her work explores the intersection of artificial intelligence, human communication, and practical implementation, with a focus on building systems that are not only technically capable but meaningful and usable.

Written by Naómi Oosthuizen, Interim Specialist, CISO & CIO Naómi Oosthuizen is the Founder and Managing Partner of Sentio™, specialising in cybersecurity, AI governance, digital resilience, and board-level risk management across Europe. She writes about the intersection of technology, governance, regulation, and human decision-making. This is Part 3 of a three-part series on the EU AI Act's 2 August 2026 deadline. Part 1 covered what the Act requires and what changed under the Digital Omnibus, Part 2 covered why compliance without governance fails, the AI inventory, and accountability. What evidence will regulators, auditors, and boards accept? Declarations are cheap. What the Act asks for, and what a serious board asks for, is a trail. Providers of high-risk systems must operate a risk management system across the entire lifecycle, eliminating or reducing identified risks through design as far as is technically feasible, implementing mitigation and control measures for the risks that cannot be eliminated, and providing the information and, where appropriate, the training that deployers need in order to use the system safely. They must also run a quality management system spanning the pre-market phase, covering regulatory strategy, design control, verification, testing, and technical specification, the post-market phase, covering quality control, serious incident reporting, and post-market monitoring, and a continuous phase, covering data management, communication with authorities, record-keeping and logging, resource management, and an accountability framework.[1] Deployers do not escape this. Where Article 27 applies, and it applies to bodies governed by public law, to private operators providing public services, and to operators carrying out creditworthiness assessments or price and risk assessments in life and health insurance, the deployer must conduct a fundamental rights impact assessment before first use and notify the national authority of the results. Where a data protection impact assessment is also required, the two are conducted in conjunction rather than duplicated, which is a small piece of drafting that saves a great deal of duplicated effort in practice.[3] Underneath the specific legal artefacts sits a simpler organisational question, whether the reasoning behind consequential decisions has been preserved. Effective governance produces approved purpose statements, data assessments, design decisions, test results, transparency notices, vendor assurances, the design of human oversight, monitoring thresholds, incidents, exceptions, and retirement decisions, and it produces them as a by-product of ordinary work rather than as a retrospective reconstruction. NIST asks for post-deployment monitoring plans covering user feedback, appeal and override, decommissioning, incident response, recovery, and change management, which is a fair description of what an auditor will eventually ask to see.[6] ISO/IEC 42001 offers a structured and auditable management-system approach for organisations that want to govern artificial intelligence through defined roles, processes, controls, monitoring, and continual improvement.[5] Certification is voluntary, and it does not by itself establish compliance with the AI Act, but the discipline it imposes is the discipline the Act assumes you already have. Five questions for your board before August None of these questions is technical, and all of them are answerable. The quality of the answers will tell you more about your exposure than any maturity dashboard. Can we produce a complete and current inventory of every artificial intelligence system in use, including the ones we did not build and the ones we did not knowingly buy? Does every material use case have a named, accountable business owner who would be identified by name in an incident report? Are artificial intelligence risks integrated into our existing enterprise risk, privacy, cyber, data, procurement, and resilience processes, rather than isolated in a committee? Can we demonstrate how human oversight works in practice, as distinct from how it is described in policy? Can we produce evidence of decisions, monitoring, incidents, and exceptions without assembling it manually after the fact? Frequently asked questions Does the AI Act apply to us if we only use artificial intelligence rather than build it? Yes. The Regulation imposes duties on deployers as well as providers, and the transparency obligations arriving on 2 August 2026 extend to organisations that operate chatbots, publish deepfakes, or publish AI-generated text on matters of public interest. Deployers of high-risk systems must also use them in accordance with the instructions, monitor their operation, and assign human oversight to a person who is properly equipped to exercise it. Certain deployers, including public bodies and organisations assessing creditworthiness or pricing risk in life and health insurance, must additionally conduct a fundamental rights impact assessment before first use.[3] Has the deadline been postponed? Some of it has. The obligations for high-risk systems move to 2 December 2027 for stand-alone systems and 2 August 2028 for systems embedded in regulated products, and a transitional grace period runs until 2 December 2026 for marking generative systems already on the market. The broader Article 50 transparency duties still apply from 2 August 2026 and were not deferred.[7] Is the Code of Practice mandatory? No. It remains voluntary, although the Commission and the AI Board have confirmed that it is an adequate tool for demonstrating compliance with the relevant Article 50 obligations. Signing it gives an organisation a recognised route. Providers and deployers remain free to use another approach, provided they can demonstrate that their own measures are adequate. This will be assessed individually by the relevant market surveillance authority.[2] Do we need ISO/IEC 42001? Not as a matter of law. ISO/IEC 42001 specifies requirements for establishing, implementing, maintaining, and continually improving an artificial intelligence management system. Certification against it is voluntary and does not, by itself, establish compliance with the AI Act.[5] What it does offer is a structured and auditable way to govern artificial intelligence through defined roles, processes, controls, monitoring, and continual improvement, which is precisely the capability the Act assumes an organisation already possesses. What are the penalties? The consequences depend on what has been infringed, and the frequently quoted headline figure applies only to one tier. Member States must lay down effective, proportionate, and dissuasive penalties within the thresholds set out in the Regulation.[3] Type of infringement Maximum threshold Prohibited practices, and non-compliance with the requirements on data EUR 35 million or 7 percent of worldwide annual turnover Non-compliance with any of the other requirements or obligations EUR 15 million or 3 percent Supply of incorrect, incomplete, or misleading information to notified bodies or national competent authorities EUR 7.5 million or 1.5 percent Small and medium-sized enterprises The lower of the two applicable amounts, rather than the higher A potentially more immediate operational consequence is that an organisation that cannot evidence its decisions will find itself unable to answer a customer, an auditor, or a regulator at the moment when the answer is needed most. The question in front of the board today The question for boards is no longer whether they have an artificial intelligence policy. It is whether they can demonstrate, through decisions, ownership, controls, and evidence, that artificial intelligence is being governed as part of the enterprise rather than observed from the edge of it. Everything else, including the deadline, follows from the answer to that question. If those five questions remain unresolved on your risk register, a structured readiness assessment is the fastest way to determine how large the gap really is. You can find out more about how we work at sentiodigital.com. A confident answer to those five is worth more than a thick policy, and it is worth considerably more than an extension. The Digital Omnibus has bought time. It has not answered a single one of the five questions. Literature review: What was drawn from each source The table records the specific material taken from each source and where it is used, so that every factual claim in the article can be traced back to an identifiable passage rather than to a general impression of the literature. Source Type Main pieces used Where it is used Regulation (EU) 2024/1689 (Artificial Intelligence Act) Primary legislation Adoption on 13 June 2024, publication on 12 July 2024, and entry into force on 1 August 2024. The phased application timetable. The risk-based structure. The provider and deployer roles. Article 50 transparency obligations. Sections 1 and 2 European Commission, Navigating the AI Act (frequently asked questions) Official guidance Classification of high-risk systems by intended purpose, aligned with existing product-safety legislation. The Article 50 duties as allocated between providers and deployers, with exceptions. Deployer duties on high-risk systems, including assigned human oversight and the right to an explanation. The fundamental rights impact assessment population, including life and health insurance, and the duty to notify the national authority. The three penalty tiers and the SME rule. Sections 1, 2, 6, 7, 8, and the FAQ on penalties European Commission, Code of Practice on transparency of AI-generated content Soft law instrument Publication on 10 June 2026. Confirmation by the Commission and the AI Board that the Code is an adequate voluntary tool. The two sections, for providers and for deployers. The set of EU icons for labelling. The requirement that those complying by other means demonstrate that their measures are adequate. Commission guidelines on Article 50 still to follow. Section 2 and the FAQ on the Code Digital Omnibus on AI (amending regulation, COM(2025) 836)** Amending legislation Formal adoption by the Council on 29 June 2026. Deferral of Annex III high-risk duties to 2 December 2027 and Annex I to 2 August 2028. The transitional grace period to 2 December 2026 for marking of generative systems already on the market. Deferral of national sandboxes to 2 August 2027. The new Article 5 prohibition, applicable from 2 December 2026. Section 3 and the FAQ on postponement Deloitte, EU Artificial Intelligence Act Deep Dive Practitioner analysis The risk management system duties covering safety by design, protective measures, and information for safety. The quality management system spanning the pre-market, post-market, and continuous phases. The observation that systems carrying no obligations under the Act may still carry business, security, and other regulatory risk. Explicit notification for chatbots as an example of a limited-risk duty. Sections 1, 7, and 8 Tabassi (2023), NIST AI Risk Management Framework (AI RMF 1.0), NIST AI 100-1 Voluntary framework The four functions govern, map, measure, and manage, with governance as a cross-cutting function. Integration of AI risk into enterprise risk management. GOVERN 1.6 on inventory mechanisms and GOVERN 1.7 on decommissioning. GOVERN 2.2 on training and GOVERN 2.3 on executive responsibility. GOVERN 6.1 and 6.2 on third-party risk. MAP 3.5 on human oversight processes. MANAGE 3.2 and 4.1 on monitoring. The warning that AI systems are often perceived as more objective than humans, and that human and machine pairings can amplify human bias. The statement that the framework does not prescribe risk tolerance and is voluntary. Sections 4, 5, 6, 7, and 8 ISO/IEC 42001:2023 Certifiable standard The existence of requirements for establishing, implementing, maintaining, and continually improving an artificial intelligence management system. Used only to support the point that governance of this kind is meant to be operated and audited. Section 8 and the FAQ on standards Follow me on LinkedIn and visit my website for more info! Read more from Naómi Oosthuizen Naómi Oosthuizen, Interim Specialist, CISO & CIO Naómi Oosthuizen is the Founder and Managing Partner of Sentio™, a European cybersecurity and governance advisory firm. With more than two decades of international leadership experience across financial services, government, and critical infrastructure, she specialises in cybersecurity, AI governance, enterprise risk management, and digital resilience. Through her writing, she explores the future of technology, governance, organisational behaviour, and digital trust. References: [1] Deloitte. (2024). EU Artificial Intelligence Act: Deep dive. Deloitte. [2] European Commission. (2026a). Code of practice on transparency of AI-generated content. Shaping Europe's Digital Future. [3] European Commission. (2026b). Navigating the AI Act: Questions and answers. Shaping Europe's Digital Future. [4] European Parliament and Council of the European Union. (2024). Regulation (EU) 2024/1689 of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union, L, 2024/1689, 12 July 2024. [5] International Organization for Standardization. (2023). Information technology, artificial intelligence, management system (ISO/IEC 42001:2023). ISO. [6] Tabassi, E. (2023). Artificial intelligence risk management framework (AI RMF 1.0) (NIST AI 100-1). National Institute of Standards and Technology. [7] Digital Omnibus on AI. (2026). Regulation amending Regulations (EU) 2024/1689 and (EU) 2018/1139 as regards the simplification of the implementation of harmonised rules on artificial intelligence (COM(2025) 836, adopted by the Council on 29 June 2026). European Union.

Written by Mark Mathia, Chief Catalyst Officer & Business Strategist Mark Mathia, Chief Catalyst Officer & Gallup-Certified Strengths Coach, leverages 30+ years in the C-suite to accelerate profitable growth for founders and executives worldwide. Creator of CatalX(tm), a proven framework fusing profit strategies, elite communication, and energy mastery-he helps leaders dominate rooms, scale faster, and avoid burnout. You are a capable leader. You have delivered results, carried real responsibility, and performed under pressure. Still, something feels different this time. Whether you are stepping into a new role, leading a nonprofit through uncertainty, or navigating a meaningful professional transition, the external demands continue. At the same time, a quieter question grows more insistent. Is the foundation underneath my leadership still solid enough for what is being asked of me now? That question is not weakness. It is the signal of a leader who refuses to lead on autopilot. The hidden cost of transition The issue is rarely skill or experience. The deeper problem sits beneath both. Externally, conditions keep shifting, new expectations, constrained resources, and rising complexity. Internally, many leaders notice a quiet erosion, decisions that feel more reactive, energy that drains faster, and a sense that previous approaches no longer fully fit. At a deeper level, a tension emerges. Leadership was never designed to run indefinitely on competence and grit alone. It requires something more durable. Character and a clear identity. When the foundation is unclear, even strong leaders eventually pay a cost. The cost is rarely dramatic. It is cumulative. It almost always appears first inside the leader before it surfaces in the organization. Most leaders respond by gathering more tactics. What they actually need is a clearer foundation. If you are continually adding new strategies without examining your underlying operating system, you are simply building a taller building on shifting sand. (For more on aligning your core strategy and ROI, explore our guide on executive coaching ROI.) A different approach Dr. Stacey Ocander and I have spent decades working with leaders who carry substantial responsibility. Stacey brings deep expertise in leadership development, workforce education, and cultivating leaders from within organizations. I bring more than thirty years of experience building, scaling, and leading in complex environments, along with my proprietary CatalX PSE™ work that helps leaders align psychology, strategy, and energy. Together, we developed the Voyager Framework™ for leaders who recognize that foundation precedes performance. When you eliminate burnout and stop running on pure adrenaline, your leadership transforms from reactive survival into sustainable impact. (If you are currently feeling the strain, take a look at our practical approach to stopping burnout before it stops you.) A clear path forward The Voyager Framework™ provides a practical structure to anchor your leadership. Clarify your Character Code™: The non-negotiable standards that steady you under pressure. Align your Service Mission Engine™: So your purpose stays connected to the people and work that matter most. Create your Identity to Impact Activation Plan™: Daily practices that turn identity into consistent influence. Craft your Legacy Catalyst Statement™: The lasting mark you intend to leave. What the experience includes The work takes place over four intensive weeks, with four live virtual cohort masterminds. Between sessions, participants receive daily Signals, short, focused messages that deliver wisdom, encouragement, and practical integration so the learning moves into daily leadership. Each participant also receives access to their CliftonStrengths assessment, a one-hour private coaching session, and a full year of flash coaching support. Neither Dr. Ocander nor I leave leaders to integrate the work alone. We remain available throughout the year. This combination of focused cohort experience, daily reinforcement, strengths clarity, private coaching, and sustained access is intentional. Lasting change requires more than insight. It requires support while the new foundation takes root. What becomes possible When the foundation is clear, decision-making simplifies. Energy is conserved rather than scattered. Leaders become more recognizable, to themselves first, then to those they lead, even when conditions remain uncertain. Craig Bebee described his experience this way: “I have come to the realization that as I age and creep closer to retirement, I need to teach others the tools that have helped me be successful while still holding true to my values and keep developing my legacy that I want to be remembered by.” Dr. Stacey Ocander offers a complementary view: “Legacy isn’t something you leave behind, it is something you build every single day.” She also poses a clarifying question: “What is it like to sit across from me? What is it like to experience me? Am I grounded in my values or my character? With that, what impact will I leave on others?” These are the kinds of insights the Voyager Framework™ is designed to surface, clearer alignment between who you are, the values you will not compromise, and the legacy you intend to build. The cost of delaying Many capable leaders continue operating from an increasingly thin foundation. They stay busy. They keep delivering. Over time, however, they quietly lose the internal steadiness that once distinguished their leadership. That path remains available. It is not required. Your next step We are opening a second cohort of the Voyager Framework™. Enrollment is limited, so the experience remains personal and substantive. This work is designed for nonprofit executives, corporate leaders, and professionals in meaningful transition who already understand that foundation precedes performance. As I often share with leaders, “your business will never outgrow your current level of thinking.” To learn more and explore whether this cohort is a fit, start here. Watch the short welcome and introduction video, Voyager Framework Introduction, on YouTube. Complete this interest form to receive full details and next steps, Voyager Framework Interest Form. We will follow up personally. Follow me on Facebook and Instagram for more info! Read more from Mark Mathia Mark Mathia, Chief Catalyst Officer & Business Strategist Mark Mathia is a former C-suite executive turned Chief Catalyst Officer and Gallup-Certified Strengths Coach with over 30 years of leading and advising national organizations. He created the CatalX™ framework to help founders and senior leaders master high-stakes communication, accelerate profitable growth, and sustain peak performance without burnout. His clients, CEOs, founders, and executive teams, consistently scale faster, win bigger deals, and lead with greater clarity and energy. When he’s not coaching one-on-one or speaking to leadership teams, Mark distills battle-tested insights on influence, profit acceleration, and human performance.

Written by Ki'ara Larkin, Nurse Coach, Mindset & Wellness Strategist Ki’ara Larkin is a Board-Certified Nurse Coach and Transformational Wellness Expert who helps individuals create balance, resilience, and alignment through holistic health, mindset mastery, and intentional living. Walk through social media for five minutes, and you'll likely be told you're using the wrong supplements, eating the wrong foods, following the wrong workout, or missing the one "secret" that will finally transform your health. Every day, a new expert appears with a miracle solution. The wellness industry has never been more popular or more profitable. While there are countless professionals genuinely dedicated to helping people live healthier lives, there is also an overwhelming amount of misinformation, fear-based marketing, and quick-fix promises that leave consumers confused, discouraged, and often poorer than when they started. As a registered nurse and holistic wellness coach, I believe wellness should empower people, not manipulate them. The problem isn't that people want better health. The problem is that many don't know who to trust. Why wellness has become so confusing The wellness space is unique because almost anyone can build a large audience online. A viral video, a compelling personal story, or a polished brand can quickly create credibility, even when little evidence exists to support the claims being made. At the same time, healthcare hasn't always done a great job of addressing lifestyle, prevention, nutrition, stress management, or emotional well-being. That gap has created an opportunity for wellness professionals to step in, but it has also opened the door for misinformation. Consumers are left trying to decide who is telling the truth. Fear sells faster than facts One of the biggest red flags in wellness marketing is fear. You may have seen messages like: "Everything you're eating is toxic." "Doctors don't want you to know this." "One supplement will fix all your problems." "If you don't detox immediately, you're damaging your body." These statements grab attention because fear creates urgency. The reality is that health is rarely that simple. Most chronic health conditions develop from multiple factors, including genetics, lifestyle, environment, sleep, stress, nutrition, and access to healthcare. No single product or influencer can honestly promise to solve every problem. Credentials matter, but so does humility Letters behind someone's name don't automatically make them trustworthy. Likewise, having no formal medical background doesn't automatically mean someone has nothing valuable to offer. The professionals I trust most are the ones who recognize the limits of their expertise. They are willing to say: "I don't know, but I can research it." "Let's look at the evidence." "You should also discuss this with your healthcare provider." Confidence without humility should raise concern. Beware of one-size-fits-all wellness Your body is unique. What works beautifully for one person may be ineffective or even harmful for someone else. Age, hormones, medical history, medications, genetics, stress levels, and lifestyle all influence how your body responds to nutrition, exercise, supplements, and treatment plans. Be cautious of anyone promising the exact same solution for everyone. Personalized care almost always leads to better outcomes. Ask better questions before spending your money Before purchasing a supplement, joining a program, or hiring a coach, ask yourself: Is this person educating me or simply selling to me? Are claims supported by credible evidence? Are they transparent about risks and limitations? Do they encourage individualized care? Would I still trust this information if nothing were being sold? These questions can save you hundreds, sometimes thousands, of dollars. The future of wellness is collaboration For too long, healthcare and wellness have been portrayed as opposing sides. They don't have to be. The best outcomes happen when evidence-based medicine and healthy lifestyle practices work together. Medication, nutrition, movement, sleep, stress management, and mental health have their place. True wellness isn't about choosing one philosophy over another. It's about understanding that lasting health requires a comprehensive approach tailored to the individual. My philosophy As both a nurse and a wellness coach, my goal has never been to replace healthcare. My goal is to help people better understand their bodies, ask informed questions, develop sustainable habits, and become active participants in their own health journey. I believe education is empowering. I believe prevention is powerful. I believe healing is personal. Most importantly, I believe people deserve honest guidance, not empty promises. Final thoughts Your health is one of the most valuable investments you'll ever make. Protect it by asking questions, seeking qualified professionals, and remaining curious instead of fearful. The future of wellness doesn't belong to the loudest voice on social media. It belongs to the professionals who lead with integrity, compassion, evidence, and a genuine desire to help people thrive. Because true wellness isn't built on trends. It's built on trust. Ready to take the next step? If this article resonated with you, I invite you to become an active participant in your own wellness journey. Stay curious, ask questions, and don't be afraid to seek guidance from professionals who prioritize education, integrity, and personalized care over quick fixes. You can connect with me for more evidence-based wellness education, mindset strategies, and holistic health insights by following my work on social media or visiting here. My mission is simple- to empower you to become your happiest, healthiest, and most authentic self. Remember, your health deserves more than trends. It deserves truth, trust, and a plan that's built for you. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Ki'ara Larkin Ki'ara Larkin, Nurse Coach, Mindset & Wellness Strategist Ki’ara Larkin, BSN, RN, is a nurse coach, speaker, and wellness thought leader redefining the intersection of healthcare and mindset. As an MSN-FNP candidate, she blends clinical science with transformational coaching to address the root causes of burnout, stress dysregulation, and chronic lifestyle disease. Through her writing and speaking, she advocates for a paradigm shift in healthcare, one that prioritizes both physiology and psychology in the pursuit of sustainable vitality.

Medicine has a side most patients rarely see. Long before treatment plans are discussed or procedures are scheduled, physicians are working to understand exactly what disease they are dealing with. For Dr. Robert Guarino, that process has been the center of his professional life. A physician specializing in breast pathology, Guarino has spent his career studying disease at the tissue level and contributing his expertise to the greater effort of caring for people with breast disease. It is work that suits someone who has always been drawn to details. Guarino grew up in New Jersey as the oldest of four brothers in a blue-collar family. He remembers his parents as hardworking, and his early years reflected a similar sense of discipline. He finished seventh academically in his high school class while also competing in lacrosse, a sport that eventually helped him earn an athletic scholarship to Rutgers University. At Rutgers, Guarino studied biological science and graduated with honors before going on to medical school. Yet some of his most formative education in pathology happened outside the traditional classroom. He spent years working as a pathology assistant, including positions at Overlook Hospital and Morristown Memorial Hospital, where his responsibilities included working with surgical specimens and assisting with other laboratory procedures. Rather than encountering pathology only as an academic subject, he was learning what the work looked like in practice. How Dr. Robert Guarino found his specialty That early exposure eventually developed into a medical career. Guarino completed his training in anatomic and clinical pathology and served as chief resident before moving to Manhattan for advanced fellowship training at Mount Sinai. There, his career became increasingly specialized. After training in surgical pathology, he spent another year concentrating specifically on breast pathology. Guarino still points to Dr. Jonathan Lara and Dr. Ira Bleiweiss as two important mentors in his development. Their influence is significant because Guarino's career has been shaped not only by formal education, but also by the transfer of knowledge between physicians who have spent years developing expertise in the same demanding field. He learned early that becoming a specialist was not simply about completing another credential. It meant developing the judgment to recognize what matters when a case is not straightforward. When Dr. Robert Guarino talks about what makes someone effective in breast pathology, he begins with the need for a “very strong knowledge base,” but he does not stop there. He believes knowledge must be paired with “a dedication and passion to your career duties” and, most importantly, a commitment to helping people facing breast disease achieve positive outcomes. That distinction says a great deal about the way he views his profession. Pathology can be highly technical, but Guarino does not see technical knowledge as an end in itself. The purpose is to make that knowledge useful. The value of expertise in breast pathology Breast care illustrates why that usefulness matters. A single case can bring together physicians and professionals from pathology, imaging, surgery, medical oncology, radiation oncology, genetics, and nursing. Each discipline contributes a different piece of information, and the quality of the overall process depends in part on specialists being able to communicate what they see from their particular perspective. For Guarino, that perspective comes from pathology. His years of specialized practice have placed him in multidisciplinary environments where pathology is one part of a broader conversation about breast disease. This collaborative approach has also shaped how he thinks about his own contribution. Asked what professional success looks like, Guarino does not begin with a title, publication, or academic appointment. He describes it simply as “good positive patient outcomes directly related to my service.” That focus on outcomes also helps explain why he has continued studying long after completing his formal medical training. Expertise in a medical specialty cannot remain static while research, diagnostic approaches, and professional knowledge continue to develop. Guarino has made keeping up with that change part of his normal routine rather than something reserved for occasional conferences. “I read the literature in breast pathology constantly,” he says. His routine includes journals and new editions of textbooks, along with continuing medical education seminars each year. That ongoing study is less dramatic than reaching a major career milestone, but it may be more revealing. In a specialty built around careful distinctions, remaining knowledgeable requires the willingness to keep revisiting what you know. His scholarly work provides another window into that mindset. Guarino has contributed to research, case reports, and professional presentations covering highly specific diagnostic problems. His CV includes work on a rare variant of metaplastic squamous cell carcinoma of the breast, as well as a case involving metastatic breast carcinoma found in an endometrial polyp. Both were presented at the College of American Pathologists annual meeting in 2017. Earlier work involving breast cancer was also presented at the USCAP annual meeting. The subjects are narrow by design. Specialists build value by going deeply into questions that most people, including many other professionals, may encounter only rarely. For Guarino, developing that depth has been a career-long process. Why teaching became part of Dr. Guarino's career As his experience grew, Guarino also moved into teaching. He has worked with resident trainees and taught pathology to medical students, extending the same cycle of mentorship that helped shape his own career. His academic experience includes a Clinical Assistant Professor appointment in pathology beginning in 2013. That progression feels fitting. Guarino can still identify the physicians who influenced him as he developed as a specialist, and teaching gives him the opportunity to provide that kind of guidance to physicians earlier in their careers. In pathology, where judgment develops through a combination of knowledge and repeated experience, that transfer of expertise has practical value. Medicine, however, is not the only thing competing for Guarino's attention. He is an avid reader with a particular interest in classic literature, and he enjoys golf and saltwater fishing. Soccer is another long-standing interest. He helped co-found Nerazzurri New York, a New York City supporters club for Inter Milan, giving him an outlet that is far removed from microscopes and medical literature. His family provides another counterweight to the demands of medicine. Guarino is married and has three children, and he believes stability outside work can influence how a physician performs inside it. “Overall, happiness in the home,” he says, “translates into a better and more efficient physician in the hospital.” It is a revealing comment because Guarino's career has not been built around a single dramatic moment. Its defining feature has been accumulation: years of training, lessons from mentors, experience examining disease, academic research, teaching, and the constant reading required to remain current in a specialized field. Through it all, Guarino keeps returning to the same measure of whether that accumulated knowledge has value. It is not how impressive the expertise sounds on paper, but whether it can be put to useful work for others. As he puts it, the goal is ultimately positive outcomes connected to his service. For a career spent studying the smallest details of disease, that is a notably big-picture way to measure success.

Success stories often focus on big moments. A promotion. A bold career move. A breakthrough idea that changes everything overnight. For Christopher Reep, the journey looked very different. For nearly 30 years, he has worked at Daimler Truck North America, where he serves as a Production Manager supporting the manufacturing of Freightliner and Western Star trucks. Over those three decades, he has watched the industry evolve, embraced new ways of thinking, and developed a reputation for helping teams solve problems that don't have easy answers. Along the way, he became a certified Lean expert, a published author, and someone who believes the best ideas are usually built through experience rather than inspiration alone. "I've never believed that one big decision determines your future," he says. "It's the lessons you collect along the way that shape how you think and how you lead." His career wasn't built by chasing the next opportunity. It was built by paying attention, asking questions, and finding better ways to approach challenges that many people had accepted as part of the job. Every challenge became an opportunity to learn Growing up in Lincolnton, North Carolina, sports played a big role in his life. Running track and cross country taught him discipline long before he stepped onto a manufacturing floor. "You learn pretty quickly that you can't fake consistency," he says. "You either put in the work every day or you don't." That lesson stayed with him after graduating from the University of North Carolina at Charlotte with a Bachelor of Science in Biology. Although his degree wasn't directly connected to manufacturing, it gave him an appreciation for observation, patterns, and understanding why things happen. When he joined Daimler Truck North America, he discovered those same skills applied in unexpected ways. "I found myself asking why certain problems kept coming back," he says. "Fixing something once is good, but understanding why it happened is what creates lasting improvement." That mindset eventually led him to Lean management and structured problem-solving, but it started with something much simpler: refusing to accept recurring problems as normal. Why staying in one place didn't mean standing still Today, it's common to hear that career growth means moving from one company to another. His experience offers another perspective. Nearly 30 years with the same organisation hasn't meant repeating the same job. Instead, it has meant growing alongside an industry that continues to evolve. Manufacturing has changed dramatically over the past three decades. New technology, changing customer expectations, and different leadership approaches have created new challenges at every stage of his career. "People sometimes think staying in one place means standing still," he says. "The reality is that every year brings something new to learn." For him, growth has never depended on changing employers. It has come from staying open to new ideas and being willing to rethink familiar processes. Turning years of experience into practical ideas After years of applying Lean principles in real workplaces, he noticed something missing from many of the books he read. They explained the concepts well, but they didn't always show what those ideas looked like during a normal workday. "I wanted to write the kind of book I would've appreciated earlier in my career," he says. "Something practical that people could read and start using right away." That idea shaped the way he approaches his books. Whether he's exploring Hoshin Kanri, Total Productive Maintenance, PDCA, or continuous improvement, his goal remains the same: helping readers move from understanding an idea to applying it with confidence. The best solutions often come from the front line One of the biggest lessons he has learned isn't about processes. It's about people. Throughout his career, some of the most valuable ideas have come from the employees working closest to the job every day. "The people doing the work see things that leaders don't always have the chance to see," he says. "If you're willing to listen, you'll often find the solution is already there." That belief has shaped his leadership style. Instead of feeling pressure to have every answer, he focuses on asking thoughtful questions and creating an environment where people feel comfortable sharing their ideas. It's an approach that builds trust while also leading to better decisions. Small lessons lead to lasting careers Looking back on nearly three decades in manufacturing, he doesn't point to one defining moment that changed everything. Instead, he sees a collection of experiences that gradually shaped the way he leads, writes, and approaches challenges. Running cross country taught him patience. Manufacturing taught him the importance of observation. Working alongside different teams showed him that listening often leads to better solutions than assuming. "I still think there's something new to learn every day," he says. "If you stay open to that, you'll keep improving no matter how long you've been doing the job." For him, success has never been about chasing the next big achievement. It's been about learning from each experience, applying those lessons, and helping others do the same. Over time, those small lessons have added up to something much bigger than a single accomplishment. They have become the foundation of a career built to last.

A black belt, a camera, a saxophone, and a box of historical model pieces may not look like career development tools. For Scott Kresan Tilbe, however, experiences like these have helped build skills that became useful long after the activity itself was over. Based in Barrie, Ontario, Scott has a background that includes office administration, photography, web design, computer science, customer service, and visual media. His interests have taken him even further, from karate and music to historical models, travel, art, history, and science. Together, those experiences have shown him that useful skills are not always developed in obvious places. “I think you can learn something useful from almost any experience if you pay attention to it,” Scott says. “A skill might start in one part of your life and become valuable somewhere completely different later.” Discipline is built through repetition Long before Scott began working in administration, karate gave him an early lesson in consistency. He trained long enough to earn a black belt, an accomplishment built through continued practice rather than a short burst of effort. That experience offers a practical lesson for anyone developing professionally. Learning software, improving communication, becoming more organized, or mastering a technical skill usually involves doing the basics repeatedly until they become familiar. “Karate taught me that improvement usually happens gradually,” Scott says. “You keep practicing, make adjustments, and eventually you realize how much progress you’ve made.” The same mindset can be useful at work. Instead of expecting immediate mastery, employees can focus on becoming more capable and consistent each time they perform a task. Creative hobbies can strengthen attention to detail Photography became one of Scott’s strongest creative interests and eventually became part of his education and professional experience. He studied Digital Photography at Georgian College and later worked professionally in photography. Creating a strong photograph requires close observation. Lighting, positioning, timing, composition, and small visual distractions can all change the final result. Learning to notice those elements helped Scott develop a habit of looking closely at the details before considering something complete. “Photography trained me to look closely before deciding something is finished,” Scott says. “Small details can change the way the whole image comes together.” That habit can carry into very different types of work. Reviewing documents, organizing information, checking schedules, and designing websites can all benefit from noticing what someone else might overlook. Practice can build confidence Scott’s early interest in music provides another example. As a teenager, he played saxophone and placed second at a local Kiwanis Music Festival. He also performed in a steel band during high school. Music gave him experience with preparation, repetition, and performing after putting in the work beforehand. It also offers a useful lesson for people who assume confidence has to come naturally. “Being prepared makes a big difference in how confident you feel,” Scott says. “If you’ve practiced something enough, you have something to fall back on when you’re under pressure.” Professional preparation can take many forms. Reviewing information before a meeting, learning a system before it becomes urgent, and thinking through an unfamiliar assignment before starting can make challenging situations easier to manage. Hands-on projects reward patience and precision Scott continues to enjoy building historical models and painting miniature figures. These projects can involve many small components, detailed research, careful painting, and the patience to work toward a finished result over time. There is a connection between that process and Scott’s administrative career. For the past several years, he has worked as an Office Administrator at a gastroenterology clinic in Barrie, supporting daily activities and helping maintain organized workflows. Both settings place value on completing small tasks carefully so that the larger result comes together as intended. “I like projects where individual pieces eventually come together into something complete,” Scott says. “It makes you appreciate the importance of getting the smaller parts right.” The lesson is useful for larger professional projects as well. Breaking complicated work into smaller steps can make it easier to organize, check, and complete without losing sight of the overall goal. New experiences make adaptability easier Travel has taken Scott throughout Europe, Asia, South America, and the United States. Those experiences have introduced him to different cultures, environments, histories, and ways of approaching everyday life. His education shows a similar willingness to enter unfamiliar territory. After photography, Scott studied Web Design at Georgian College, Computer Science at Laurentian University, and Film and Television at Canadore College. Each subject required him to learn a different set of ideas and methods. “Trying different things has made me more comfortable with being a beginner,” Scott says. “You don’t have to know everything at the start. You have to be willing to learn.” That comfort with learning can be especially valuable in workplaces where technology, responsibilities, and processes continue to change. Look beyond the resume for useful skills The most valuable lesson from Scott’s experience may be that career development is broader than formal education and job experience. People also build abilities through what they practice, create, study, and experience in their own time. Instead of asking if an interest belongs on a resume, it can be more useful to ask what that interest has taught you. Discipline, observation, preparation, patience, precision, and adaptability can develop in unexpected places and remain useful across very different roles. Scott Kresan Tilbe’s path provides a practical example. The camera, karate training, music, model building, travel, education, and professional experience may belong to different parts of his life, but the skills developed through them do not have to stay there.

Written by Regina Eastman, Integrative Therapist & Doctorate of Ministry (c) Regina Eastman is an inspiration in the field of Wholeness. She is the founder of Ariel Grace Integrative Therapies and holds a Master of Arts in Applied Psychology. She is a Psychedelic-Assisted Psychotherapist, Somatic Experiencing Practitioner, and a Body and Energy Worker. Dearest reader, as the summer (or winter, depending on what hemisphere you are on the planet) comes into its invitation of vitality (or quietness for winter), I’ve been called to share that participation with the natural world through embodied rituals can ground us in an ever busying world, connect our inner world to lovingly influence the outer world, and carry us throughout each day with a sense of fundamental and authentic peace for ourselves which we then can, by nature, share with others. What is ritual? For many, and at a time long ago in my life, the meaning of “ritual” had a more rigid, oppressively religious, and dogmatic feel. Yet, upon reflection, I had ritual running throughout my life. For me and many others, Mamma Nature created and continues to influence ritual through appreciation, connection, and care of self through Her, and care of Her through care of the self. Depending on our mindset, our daily patterns can be either habits or rituals. Habits tend to be more mechanical, surface-level, like pushing the coffee maker button or putting on your seatbelt, while ritual brings depth, heart, meaning, and fullness, lending a certain spirit to our day-to-day lives. Typical rituals in our culture include rites of passage, such as weddings and funerals, as well as prayer and meditation in our churches or spiritual communities. Ritual simultaneously keeps us embodied, grounded, and in the world, as we are open within ourselves as a part of life. Ritual is a conscious, heartfelt choice and action we make, whether each morning, afternoon, evening, or during certain times of the year, to receive and express ourselves as a part of an ongoing process while we live this beautiful, often challenging thing called life. Ritual that is outside the norms of society Ultimately, when we participate in a ritual, connection, or resonance of feeling, what matters is that the ritual fits us. Over the years, those whom I’ve supported, as well as myself, have come to refer to us as “seekers” of our self-realization. Most of us have been brought up in a culture of rituals that were more or less imposed on us. This was and continues to be the norm within our culture. As we receive, adopt, and adapt within a patriarchal system of ritual, how often would I hear the expression “I’m a recovering Catholic, Christian, Jew, etc.”? These are examples of the outer world, if you will, influencing or directing one’s inner world. Their religious rituals often left us with a sense of emptiness, confusion, and resentment. These, from a subjective experience, are more of a habit, an action without the investment of one’s heart. Not that being of a religious tradition is wrong in and of itself, there was simply a lack of connection within the individual to the teachings and rituals of one’s familial religion. Many have returned to the religious traditions of their upbringing with a new appreciation due to their inner, heart-directed, and intuitive connection. When we feel this resounding connection from within us, then what we have connected to outside ourselves has vitality, expression, and life. Letting what is not of us fall away Returning to our nature with regard to forming rituals is, in itself, a process of discovery for many. In my work of service, I have found that we have the sacred makings of ritual built within us. For many whom I’ve had the great fortune to support, one of the major steps in the process of ritualization is bringing the head or thinking aspects of being directly into our hearts and our feeling capacities. Intention toward deepening oneself can be actualized as a ritual, a sweet, simple, and often tricky undertaking, for, again, we are more creatures of habit than of ritual. As the saying goes, habits can be hard to break. I say let us not break them, but instead, soften them so that they may come to bend. In this case, bending the mind in honor of the heart. As thoughts slow and our intentions allow for deepening, we begin to feel. For many, as we begin to feel around and within the heart, we have no words to describe. This is often because we have lived much of our lives from the head’s perspective, leaving the heart uncharted territory. The good news is that you own this land and may come to know its terrain and build within it through ritual. The heart is central to our inner realm of experience. Once we begin to connect to its intelligence from the heart, the journey of self-realization through ritual can grow. How you might begin making ritual a resource Ask yourself, what, either as a child or in your younger years, brought within you a sense of awe, joy, freedom, connection, or wonder? When was this removed, taken, given away, or replaced? Letting yourself re-remember through your innate abilities, whether they be through feeling the memory, seeing it in your mind’s eye, remembering hearing the sound, or sensing the memory, you have begun to have the starting element to form a ritual. These expressions through feelings are heartfelt, filling us with meaningful energy. This remembering of connection is now again in your possession to create with it and foster it into manifestation. Most often, for children and young people, we are curious and therefore open creatures, allowing connections to take place. In our youth, we have a strong tendency toward creativity and playfulness, knowing that we are part of this wondrous world through our connection with others and with nature. As adults, it is no one’s responsibility but ours to return to the light and joy of the child. Whether we remember moments of play, connection, awe, or, if we came from a place where the want to play and connect were absent, it is never too late to begin. Our hearts and minds are powerful allies. We need only to begin sincerely, and therefore we have begun. Some examples of beginning ritual I have found over the decades that although we innately have available within us the means to put ritual as a sacred and meaningful practice into our lives, sometimes, with starting, we need a bit of support by pointing out some possibilities. I preface these offerings with a suggestion. Leave the outer world’s influence on and through you, with judgment and scoffing, by the wayside. Setting aside our self-criticism and judgment in creating sacred ritual, we can come to see that this may also need some practice. Here are a few ideas to “start” the path of ritual making: Upon awakening in the morning, or evening if that is your cycle to your day’s start, bring awareness that you are a conscious being. In the moment, hear yourself speak in acknowledgment, “Good morning, Life, Spirit, Name of Self, etc.” Slowly move your fingers, toes, neck, shoulders, and legs, and relish the capacity to move, feel movement, and the experience of being alive. Be curious, "How does your body want to wake as a ritual- serpentine movements, stretching, shaking?" Bring in a positive emotion such as gratitude while still fresh from awakening. Give yourself some space and time to simply be still in body and feel the expression and qualities of how gratitude is within your body. Give thanks for the ability to feel these qualities from within. After connecting with the felt sense of gratitude, give it a fuller life by gifting this feeling to a loved one. Think of them as you feel the emotion, then intend to send it off by acknowledging its movement from you, expanding onward to your loved one. If you live in an area with nature around you, or if you have just one plant in your home, standing in its presence, appreciating forms of nature as kindreds to ourselves, conscious, life-providing, as well as beautiful beings, begins to produce the ritual of awareness, connection, and the opportunity of creating form as a part of sacred ritual. First thing upon waking and greeting the day, and while still feeling the veil of the sleep/dreaming realm, have a journal and pen easily accessible from the place of sleep and give a few minutes to write without topic or prompts. This can be referred to as a form of “stream of consciousness”2 writing. This type of ritual can connect you with your self-experience in the present moment by moving out the surface thinking within your mind and, over the course of writing, accessing the truth and depth of yourself, which otherwise would be overridden by the habits, world pace, and the voluminous noise of each day, all recycling within the mind. Sharing my daily sacred ritual In sharing my ritual, please feel free to use any of my ways to spark your own. My ritual has grown over the years as I have had the good fortune to experience many forms of spiritual traditions and their practices. From my experiences, I created a way that is from me, to me, and to life. My ritual began with awareness, feeling, and appreciating myself as a sensitive being. I began with grounding, walking and standing mindfully while barefoot on the grass and giving thanks to feel the connection of my energy with that of the Earth, Mother. A wonderful meditation teacher said to me long ago that a primary goal of the practice of meditation was for each of us to become our very own best meditation teacher. I have extended this into the formation of ritual as my inner self expressing and thereby connecting to the outer self/world. I extend the same prayer and invitation to you. Become the maker of your ritual, thus making it a sacred practice. Each day I awaken, I meet the morning, aware that I continue to exist in this conscious, human form. I give a “Good Morning, Spirit” and enjoy the experience of coming from the restorative dreamland to the embodied realm. I prepare a ritual through cacao making while singing my thanks, Mamacita Cacao coming from the jungle, into my heart as a sacred medicina. The Cacao follows me into my 7-directions prayer. Standing barefoot, I give acknowledgment and thanks to the abundance of plant flora, the heavens above, and the winged and four-legged creatures with my creation of dance, song, drumming, and fluting. Then, I sit quietly, inwardly calling upon and giving thanks to poignant experiences that have and continue to define my life as sacred. I continue to allow everything else to “fall away” so that I find myself. Giving sacred ritual life gives, in return, a fuller life Starting seems to be the hardest part in any process for most of us. Being simplistic, which I have found is steeped in sacredness. Knowing that life itself is conscious, for example, this time of year, I have finally succeeded in growing morning glories. Throughout their growing complexities, I have approached them, touched their greenery, acknowledged and given thanks, often reminding them how beautiful they are. That simple act brings me into my heart as well as being a part of this lovely place on the planet in which I get to live. The point is to connect, however briefly and simplistically, especially at the start of ritual building. By connecting your inner realm with your outer realm, you begin to grow a deep sense of self, life, and a conscious, unwavering center that understands self, shares these benefits with others, and lives with more openness, flow, and ease. I have included one of my favorite getting-started books that you may purchase or check out at your local library, Ritual as a Resource by Michael Ricucci. Here are links to a research article and a magazine article on the impact and importance of ritual: Are rituals important for mental health? Holistic Wellness in Modern Life: How Spiritual Rituals Support Balance and Inner Well-Being You may also find more information about me and my offerings here. With deep abiding gratitude, Regina. Follow me on Facebook and Instagram for more info! Read more from Regina Eastman Regina Eastman, Integrative Therapist & Doctorate of Ministry (c) Regina Eastman offers the weaving and evolution of her life experiences and academic achievements as a work of sacred service. From early childhood, her connection with nature from both the seen and unseen perspectives, in relationship with her curiosity and sensitivities, has brought her to the stages of wisdom. Presently, with her candidacy for a Doctorate of Ministry in Engaged Wisdom, this wisdom is ripe to be shared. She is the founder of Ariel Grace Integrative Therapies, where she invites and supports you in embodying yourself as conscious wisdom through the physical, emotional, heart, energetic, spiritual, intuitive, and conscious and unconscious dimensions of Self.

Written by Tiffany Meredith Lynch, Sum Faht Meditation & Emotional Wellness Coach Meet Tiffany Meredith Lynch, a Certified Meditation Teacher, Qigong Instructor, TCM Practitioner, and Emotional Wellness Coach. With her extensive travels and deep immersion in ancient wisdom, spiritual teachings, and traditional Chinese Medicine, she brings a transformative approach to holistic healing and personal growth. Fear has a way of freezing us in place. It tightens your chest, quiets your voice, and whispers that you’re not enough- that you shouldn’t even try. I know this feeling well. Recently, I’ve been wrestling with the idea of starting a podcast, and fear has shown up like an uninvited guest. Will anyone actually listen? Am I qualified to do this? Who am I to think I can pull this off? When fear takes hold, your mind becomes a storyteller, spinning narratives designed to keep you safe. Your ego speaks up, convinced it’s protecting you from failure and rejection. But here’s what I’ve learned. Fear isn’t always the enemy. When you feel afraid of something, you’re actually sensing that your soul wants more. That fear is proof of a desire, proof that some part of you knows there’s growth waiting on the other side. Your fear is pointing toward what matters. The key is recognizing the difference between fear that protects you and fear that paralyzes you. One is wisdom. The other is stagnation. When you can name your fear, acknowledge it, and move through it anyway, something shifts. Fear becomes fuel. It becomes the very thing that propels you toward courage. The problem isn’t that we feel afraid. The problem is that when we stay there, we let fear make our decisions for us. The moment you decide to act despite the fear, that’s when you reclaim your power. Primal fears: Asking the question, "Are they valid?" Primal and survival fears are part of the body’s natural alarm system. They are designed to protect us, constantly scanning for threats and asking, “Am I safe?” These fears often arise around life, death, security, and well-being. At times, they may be shaped by the ego or old internal stories. But when we slow down, become present, and listen from a heart-centered place, they can also offer valuable guidance. The key is learning to discern the difference between true inner warning and fear created by the mind. When we approach these fears with awareness, we can better understand what is real, what is imagined, and what is asking to be healed. Let’s take a deeper look at some common primal and survival fears and explore whether they are valid signals or false stories rooted in fear. Fear of failure Fear of failure is the deep dread of not succeeding, of falling short, or of being judged for not getting it right. This is a valid fear because it often points to deeper wounds, unresolved pain, or past experiences that shaped how we see ourselves. Rather than pushing it away, we can view it as an invitation to look inward. When approached with compassion and honesty, fear of failure can reveal the patterns, beliefs, and emotional injuries that are ready to be healed. In this way, it becomes more than fear. It becomes a doorway to growth, self-awareness, healing, and a more empowered life. Fear of death Fear of death is the intense fear of dying or of the process of death itself. For many, this fear is deeply connected to the unknown. We fear what we cannot explain, control, or fully understand. But when we allow this fear to dominate our lives, it pulls us away from the present moment and drains the energy we have to truly live. The truth is, no one has all the answers about what happens next. What we do know is this, we are here now. We are here to live with intention, to lead with love, and to become who we are meant to be. Live life to its fullest. A meaningful life is the greatest preparation for the mystery of death. Fear distracts us from that truth. Living a life of purpose returns us to it. The fear that your voice won’t be heard This is a deep emotional wound. It often shows up as hesitation to speak your truth or express what you genuinely feel because you fear being dismissed, misunderstood, or ignored. While this fear can be very real and valid, it should not keep you silent. Healing begins when you move through that fear and allow yourself to be seen, heard, and understood. Your voice matters, and speaking your truth is an important step toward personal freedom and self-trust. The fear of rejection and abandonment This fear runs deep. It lives in the belief that if you fully express who you are, your thoughts, values, needs, or emotions, you may be rejected by the people you love or by the community around you. In some relationships, this fear may be rooted in very real experiences. But as true healing begins, and as you learn to love and accept yourself more fully, this fear starts to lose its power. The stronger your relationship with yourself becomes, the less dependent you are on the approval of others, and the more confident you become in standing firmly in your truth. Each day, we are given the choice to live from fear or to live from the heart. Step into your sensory nature by trusting your heart and intuition, not fear We are entering a more awakened time, one that calls us to trust our intuition and follow the wisdom of the heart. Whether your inner guidance comes as a gut feeling, a sudden knowing, or a quiet emotional signal, begin making choices rooted in your body’s innate intelligence. Learn to recognize and quiet the mind’s panic. When fear arises, the brain often creates a false sense of urgency, insisting you must act immediately to fix something. Don’t let that urgency lead you. Pause instead, and allow your body to show you the next right step. Working with your unique energy asks for a different approach to fear. The shift happens when you stop running from fear and begin accepting it. In that acceptance, fear can transform into a powerful source of wisdom, strength, and inner resourcefulness. As you move into greater alignment, see your life’s experiences not as weaknesses or obstacles, but as the very places where you are meant to cultivate profound mastery and life-changing insight. Let fear transcend into courage! I’m transforming my fear into courage, and my podcast is coming this fall. Get ready! If you enjoyed this article, please click here for my free ancient wisdom healing workbook. From my heart to yours, Tiffany. Follow me on Facebook, Instagram, LinkedIn, and visit my website for more info! Read more from Tiffany Meredith Lynch Tiffany Meredith Lynch, Sum Faht Meditation & Emotional Wellness Coach When you meet Tiffany, you encounter someone who has tackled life's toughest challenges head-on and gained a deep, transformative insight into authentic healing. Her spiritual journey, spanning several decades, has taken her across continents. She studied under esteemed teachers in Malaysia and Thailand, where she deepened her knowledge of meditation, breathwork, qigong, and traditional Chinese medicine. These invaluable experiences have enriched her ability to harness transformative techniques, empowering both herself and others to cultivate deep healing and rediscover the divine heart.

Written by Mike Turner, Finance Leadership & ERP Strategy Mike Turner is an ERP Growth Advisor and a contributor to Brainz Magazine. He works with CFOs, Controllers, private equity firms, family offices, and growth-oriented organizations on finance infrastructure, operational scalability, ERP strategy, and finance transformation. For many growing businesses, QuickBooks is exactly the right place to start. It’s familiar, affordable, and more than capable of supporting a young organization finding its footing. The challenge isn’t starting with QuickBooks. The challenge is staying there long after your business has outgrown it. One theme that consistently comes up in conversations with finance leaders isn’t about software. It’s about complexity. At some point, growth quietly changes the role of finance. Finance is no longer responsible only for producing accurate financial statements. It’s expected to provide operational visibility, strategic insight, and decision support across the business. That’s usually when existing systems begin to show their limits. Growth creates complexity Revenue growth is exciting. New locations are exciting. Acquisitions are exciting. Additional legal entities are exciting. Yet each milestone adds another layer of operational complexity. The systems that worked for a $5 million organization often struggle to support a $25 million or $50 million company operating across multiple entities, departments, currencies, investors, or reporting requirements. The issue isn’t that the software suddenly stopped working. It’s that the business evolved. The real cost isn’t the software When organizations begin feeling operational strain, the instinct is often to compare software features. In reality, the hidden costs usually show up elsewhere. Finance teams spend more time exporting spreadsheets than analyzing performance. Month-end closes take longer than leadership would like. Executives begin questioning which report reflects the "real" numbers. Controllers create increasingly sophisticated workarounds just to keep reporting moving. The finance team works harder each month, but leadership doesn’t necessarily gain better visibility. These aren’t software problems. They’re infrastructure problems. A question I often ask Rather than asking whether an accounting system is good enough, I ask a different question. Is your finance infrastructure helping your organization scale, or simply helping it survive another month-end close? That conversation almost always leads somewhere more meaningful because the real issue usually isn’t technology. It’s whether the current finance environment still supports where the business is going. A few patterns I consistently see Every organization is different, but several patterns tend to emerge as companies grow. Finance teams begin spending more time reconciling information than interpreting it. Leadership waits longer for insights that should be available in real time. Operational decisions become dependent on manual spreadsheets built outside the core financial system. As complexity increases, confidence in reporting often becomes harder to maintain. None of these challenges appear overnight. They develop gradually, which is why many organizations adapt to them without realizing how much productivity they’ve lost. The conversation has changed One thing I’ve noticed is that CFO conversations have changed. A decade ago, discussions centered around accounting software. Today, they’re centered around scalability, operational visibility, automation, decision support, and building finance organizations capable of supporting growth. That’s an important distinction. Technology is no longer the destination. It’s one component of a much larger finance strategy. Looking ahead Organizations rarely wake up one morning having outgrown their financial infrastructure. It happens gradually, one acquisition, one entity, one spreadsheet, one manual process at a time. By the time the cracks become obvious, finance teams have often spent years building workarounds for systems that were never designed to support the complexity of the business they’ve become. The finance leaders who navigate growth most effectively aren’t necessarily the ones with the newest technology. They’re the ones who periodically step back and ask whether their financial infrastructure still matches the complexity of the business they’re building. Because the question isn’t whether your current system still works. The question is whether it’s preparing your organization for the next chapter of growth. Follow me on Facebook, Instagram, and LinkedIn for more info! Read more from Mike Turner Mike Turner, Finance Leadership & ERP Strategy Mike Turner is a finance leadership advisor, ERP strategist, and enterprise account executive who helps CFOs, Controllers, Private Equity firms, Family Offices, and executive leadership teams navigate growth, operational complexity, and financial transformation. With a background in enterprise SaaS, finance technology, and strategic business development, he specializes in helping organizations improve financial visibility, operational efficiency, and scalability through modern finance infrastructure and business technology solutions.

Written by: Enzo Gonzalez. The center of gravity in artificial intelligence sits inside a handful of data centers owned by a handful of companies. Most agents running in production today reach back to one of them for every hard decision, renting intelligence by the token from a provider that owns the model, the infrastructure, and the logs of everything the agent does. Artemii Amelin thinks that arrangement is less durable than it looks. A founder with a rare view of how agents actually behave argues that sovereignty, not raw capability, will decide where the next wave of AI runs. “Local models are only getting better,” he said. “There will come a point where they become more attractive to the masses than paying for APIs. The tasks most people use AI for do not require a frontier model. They can be handled perfectly by a model running on their own machine.” It is a contrarian position in a market that has spent three years and hundreds of billions of dollars betting the other way. Amelin is unusually placed to take it. He co-founded Pilot Protocol, a San Francisco company that runs an open network for autonomous AI agents, and the network gives him a vantage point few others have. The agents on it run different models, made by different companies, on different harnesses, from small systems on a single laptop to large ones in the cloud. The shift first showed up as a detail in the data. Early on, when the team surveyed the agents on the platform, a growing share turned out to be running on local models such as Qwen, the open-weight family released by Alibaba, rather than calling out to a commercial API. What he sees, watching that population, is a slow tilt away from the center. Some of that pull is already legible in the data. In a McKinsey survey of some 300 executives, investors, and government officials, 71 percent described sovereign AI, infrastructure an organization controls rather than rents, as an existential concern or a strategic imperative. The European Union's AI Act has put legal weight behind data residency, and regulated industries in finance, health, and law increasingly cannot send sensitive information to a cloud whose physical location they cannot guarantee. Chipmakers have responded by pushing inference onto local hardware, the neural processing units now shipping as standard in laptops and phones. The pressure is not only regulatory. The World Economic Forum has begun describing AI's future as a distributed one, a hybrid of global cloud and local instances rather than a single center, and the hardware market is moving the same way, with rising demand for the edge silicon that runs models close to where data is generated. Latency adds its own push. An agent that has to finish a task in a fraction of a second cannot always afford a round trip to a distant data center. The reasons differ, law, cost, speed, control, but they converge on the same place, computation that lives nearer the work. Step back, and the dispute fits a pattern as old as computing itself. The industry has swung between centralization and its opposite for half a century, from mainframes to personal computers, from on-premises servers to the cloud, and each swing turned less on raw capability than on who wanted control. Amelin's thesis is that agents will follow the same arc, and faster, because an autonomous system that leans on a single external provider inherits that provider's outages, its price changes, and its surveillance. An agent that runs locally answers to its owner. As agents take on more responsibility, that difference stops being academic and becomes the entire question. The stakes in that swing are not only technical. Where an agent runs determines who can watch what it does, who can switch it off, and who captures the data it generates as it works. Centralized inference has concentrated those powers in a few firms to a degree the industry rarely names plainly. A move toward local compute would redistribute them, handing more control to the owners of agents and less to the companies that now sit between an agent and its own decisions. That is the real subject beneath the engineering debate, and it is why a question that sounds like infrastructure keeps surfacing as a question about power. The honest version of the argument is not that the center collapses. Every prior move toward the edge eventually met a counter-move back toward the middle, and the cloud has won that fight more than once. Frontier models remain far more capable than anything that fits on a laptop, and for many tasks the gap is decisive. The economics of centralized inference keep improving as providers add capacity, and convenience has a long record of beating principle in consumer technology. A skeptic could point out that sovereignty has been predicted to triumph before, and that the cloud absorbed each previous revolt. What Amelin is claiming is narrower and harder to dismiss, that the balance shifts, and that the next 12 to 18 months will reveal how far. For the thesis to hold, local hardware has to keep closing the capability gap, and the reasons to stay home, privacy, latency, control, have to keep mattering more than the convenience of renting the best available model. Both are live questions. Neither is settled. His read draws its weight from the heterogeneity he watches every day, a network that already contains the diversity the rest of the industry is only beginning to reckon with: agents that disagree, that run on incompatible stacks, that have different reasons to stay close to home. Some are bound by the data they are permitted to touch. Some are tuned to a latency budget that a round trip to a distant data center would blow. Some answer to owners who simply want to know exactly where their software is doing its thinking. Pilot has run the experiment on itself. The company uses agents internally and recently moved them off commercial APIs entirely, onto local models, and two of them are visible as contributors on the Pilot Protocol repository on GitHub, their commits sitting alongside the humans'. The nearest evidence of the tilt is inside the company arguing for it. If sovereignty does reshape how AI gets built, the earliest evidence will surface in precisely that kind of mixed population, in agents running quietly on local hardware for reasons that have nothing to do with benchmark scores, well before it shows up in the quarterly results of the companies betting the other way. Amelin is pointing to where the tilt begins rather than calling a winner, and arguing that the people closest to the agents will feel it first.

Written by Naómi Oosthuizen, Interim Specialist, CISO & CIO Naómi Oosthuizen is the Founder and Managing Partner of Sentio™, specialising in cybersecurity, AI governance, digital resilience, and board-level risk management across Europe. She writes about the intersection of technology, governance, regulation, and human decision-making. This is Part 1 of a three-part series on the EU AI Act. Part 2 covers why compliance without governance fails, the AI inventory, accountability, and human oversight. Part 3 covers the evidence regulators will expect, five questions for your board, and a frequently asked questions section. Can your board name every place where artificial intelligence now touches a decision inside your organisation, say who owns the risk when one of those systems behaves in a way nobody expected, and produce the supporting evidence without a fortnight of scrambling? On 2 August 2026, a significant part of the European Union's Artificial Intelligence Act became applicable, and in most boardrooms, the honest answer to all three questions is still no. This article sets out what actually changed on that date, what Europe has just moved and what it has deliberately left where it was, why a compliance exercise will not save an organisation that has no governance underneath it, and the five questions your board needs to put to management now. What is the EU AI Act, and who does it apply to? The Artificial Intelligence Act is Regulation (EU) 2024/1689. It was adopted on 13 June 2024, published in the Official Journal on 12 July 2024, and entered into force on 1 August 2024.[4] It applies in phases rather than all at once. The Article 50 transparency obligations became applicable on 2 August 2026, while the amended timetable now defers most high-risk system requirements to 2027 or 2028, a distinction that has been widely misreported and that I return to below. The Act borrows heavily from the European Union's product-safety model. The Commission is explicit that the classification of a high-risk system rests on its intended purpose, in line with existing product-safety legislation, so the same underlying model can attract almost no obligations in one deployment and a full conformity regime in another.[3] The borrowing only goes so far. Fundamental rights, transparency, prohibited practices, general-purpose AI models, and public-sector use all sit inside the Act as well, which is a considerably wider footprint than conventional product safety and explains why a purely engineering-led response tends to leave the largest exposures untouched. The Act draws a line between providers, those who develop an artificial intelligence system and place it on the market, and deployers, who use one under their own authority in the course of their professional activity. Many organisations will meet the Act first as deployers, and a striking number of them have concluded on that basis that it is a problem belonging to their vendors. That is a costly misreading for two reasons. Deployers carry substantial obligations of their own, and the transparency duties that arrived in August land on them directly. An organisation can also cross the line into provider territory by developing a system, placing one on the market under its own name, or making a substantial modification to one it bought, at which point the heavier regime attaches to it rather than to the supplier it thought was carrying the risk. The General Data Protection Regulation governs the processing of personal data. NIS2, the second Network and Information Security Directive, sets cybersecurity and incident-reporting duties across essential and important sectors. DORA, the Digital Operational Resilience Act, governs operational resilience and third-party technology risk in financial services. A single artificial intelligence use case can sit inside all three categories at once, alongside the AI Act, which is exactly why treating artificial intelligence as a self-contained compliance topic tends to fail. Many existing applications, from spam filters to inventory management, fall outside the Act entirely, and their operators may adopt codes of conduct voluntarily if they choose to.[1] That boundary is legal, not managerial. Systems carrying no duties under the AI Act may still carry business risk, security risk, and obligations under other European Union law, and the absence of a regulatory trigger has never been the same thing as the absence of exposure. What changed on 2 August 2026? From that date, the transparency obligations in Article 50 apply, and the duties are allocated with more precision than most summaries would suggest. Providers of systems designed to interact directly with people must build them so that a person is informed they are dealing with an artificial intelligence system, unless that is already obvious in the circumstances. Providers of generative systems must mark their outputs in a machine-readable format so that the content is detectable as artificially generated or manipulated, using solutions that are effective, interoperable, and reliable as far as is technically feasible. Deployers of systems producing deepfakes must visibly disclose that the content is artificially generated or manipulated, and deployers publishing AI-generated or AI-manipulated text to inform the public on matters of public interest must disclose that too, unless the text has undergone human review and someone has assumed editorial responsibility for it. Specific exceptions apply to each of these duties, which is why the drafting matters and why a blanket policy statement will not survive contact with a regulator.[3] On 10 June 2026, the European Commission published the final Code of Practice on transparency of AI-generated content, and the Commission and the AI Board have since confirmed that it is an adequate voluntary tool for demonstrating compliance with these obligations. While the Code remains voluntary, the Article 50 requirements are not. The obligations arise from the Regulation itself and apply whether or not an organisation ever signs anything. Organisations that prefer a different route are free to take it, but they will then have to demonstrate to a market surveillance authority that their own measures are adequate, and that assessment will be made individually.[2] For deployers who want a straightforward starting point, the European Union has also issued a set of icons that can be used to label AI-generated content. Did the European Union delay the AI Act? Partly, and the imprecision of the headlines has done real damage. The Digital Omnibus on AI was proposed by the Commission in November 2025, adopted by Parliament on 16 June 2026, approved by the Council on 29 June, and signed on 8 July. It was published in the Official Journal on 24 July 2026 as Regulation (EU) 2026/1744 and entered into force three days later, on 27 July, with less than a week to spare before the date it was drafted to move.[5] That sequence matters more than it sounds. Until publication, the original timetable in Regulation (EU) 2024/1689 remained the operative law rather than the amended one, and any organisation that had already stood its programme down on the strength of a press release was, for those weeks, planning against a text that had no legal force. The question is now settled, and the amended dates are law. On the content of the amendments, the position is fixed. The obligations attaching to stand-alone high-risk systems listed in Annex III move from 2 August 2026 to 2 December 2027. Those attaching to high-risk systems embedded as safety components in products already covered by European Union safety legislation under Annex I move to 2 August 2028. The requirement on Member States to establish a national regulatory sandbox moves to 2 August 2027. A new prohibition covering the generation of non-consensual sexual and intimate content, and of AI-generated child sexual abuse material, applies from 2 December 2026.[6] Article 50 survived the amendments almost entirely intact. Its transparency duties arrived on 2 August 2026 as originally legislated, and only the marking obligation on legacy systems was given relief. What the amendments introduce is a shortened transitional grace period, running to 2 December 2026, for providers to implement the technical marking solutions on generative systems that were already on the market. Whether a particular system falls inside that transition or outside it depends on the precise transitional provisions in the published text, so this is a question to put to the Regulation rather than to a press summary. Generative artificial intelligence is now used across a substantial and growing share of enterprises, while comparatively few build high-risk systems, which is why the deferral that dominated the coverage is not the deadline that will dominate most compliance calendars. The timetable at a glance Date What applies from that date 2 August 2026 Article 50 transparency obligations, covering disclosure of interaction with an AI system, the labelling of deepfakes, and the labelling of certain AI-generated text published to inform the public. 2 December 2026 End of the transitional grace period for providers to implement machine-readable marking on generative systems already on the market, and application of the new prohibition on the generation of non-consensual sexual and intimate content and of AI-generated child sexual abuse material. 2 August 2027 Member States to have at least one national regulatory sandbox in place. 2 December 2027 High-risk obligations for stand-alone systems listed in Annex III. 2 August 2028 High-risk obligations for systems embedded in regulated products under Annex I. These dates reflect Regulation (EU) 2026/1744 as published in the Official Journal on 24 July 2026 and in force since 27 July 2026. Part 2 covers why compliance without governance fails, the AI inventory, accountability, and what meaningful human oversight requires in practice. If you are unsure which of these obligations already apply to you, a structured readiness assessment is the fastest way to find out. You can find out more about how we work here. Follow me on LinkedIn and visit my website for more info! Read more from Naómi Oosthuizen Naómi Oosthuizen, Interim Specialist, CISO & CIO Naómi Oosthuizen is the Founder and Managing Partner of Sentio™, a European cybersecurity and governance advisory firm. With more than two decades of international leadership experience across financial services, government, and critical infrastructure, she specialises in cybersecurity, AI governance, enterprise risk management, and digital resilience. Through her writing, she explores the future of technology, governance, organisational behaviour, and digital trust. References: [1] Deloitte. (2024). EU Artificial Intelligence Act: Deep dive. Deloitte. [2] European Commission. (2026a). Code of practice on transparency of AI-generated content. Shaping Europe's Digital Future. [3] European Commission. (2026b). Navigating the AI Act: Questions and answers. Shaping Europe's Digital Future. [4] European Parliament and Council of the European Union. (2024). Regulation (EU) 2024/1689 of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union, L, 2024/1689, 12 July 2024. [5] European Parliament and Council of the European Union. (2026). Regulation (EU) 2026/1744 of 8 July 2026 amending Regulations (EU) 2024/1689, (EU) 2018/1139, and (EU) 2023/1230 as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI). Official Journal of the European Union, L, 2026/1744, 24 July 2026.