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Why 'Powered by AI' is Killing Your Startup and What to Build Instead

  • 4 days ago
  • 4 min read

Entrepreneur, Fractional CTO & Active Builder Award-winning founder with 7-figure scale experience. I bridge the gap between complex engineering and high-impact growth, helping founders build the future while continuing to develop game-changing tech products for my own portfolio.

Executive Contributor Carl Tucker

If you were around for the late 90s, you’ll remember the dot-com bubble. You could take a terrible business selling dog food, slap a ".com" on the end of the name, and suddenly investors were throwing millions at you.


Three people in an office discuss code on a laptop. One points at the screen. Large windows show city buildings. Mood is focused.

Today, we are watching the exact same delusion play out, but this time the magic words are "Powered by AI."


I have seen multiple startups absolutely ruin their trajectory by slapping AI onto their software. They end up in an exhausting, pointless battle over whose artificial intelligence is the cleverest, completely forgetting to ask the only question that matters: Does this actually solve the customer's problem?


And I’ll be completely honest, I’ve fallen into this trap myself. Whilst scaling my last software company to seven figures, I launched a product and leaned heavily on "AI-powered" in the marketing. I quickly realized that when you market the technology, you attract tire-kickers who want to debate algorithms. When you market the result, you attract buyers who want their problems solved.


AI is a monumental shift in technology. But it is not a business model. If you want to build sustainable cashflow, you need to stop acting like a magician and start acting like a plumber.


Customers do not care about your tech stack


In my first article, I talked about the "Burst Pipe" principle. If a pipe bursts in your kitchen at 2 AM, you don’t care what brand of wrench the emergency plumber uses. You just want a dry floor.


The same logic applies to software. Nobody wakes up and thinks, "I really need an AI-driven, neural-network-backed receipt categorization tool today." They wake up and think, "I need my taxes sorted out so HMRC doesn't fine me." If you lead your sales pitch with how clever your AI is, you are selling the wrench.


Worse, you put yourself in a feature war. If your entire value proposition is "we use AI," what happens next week when a competitor connects to a slightly faster AI model? You lose the client. You have built a business with zero defensive moat.


The real innovation (AI as a margin builder)


So, how do we actually use AI to innovate and elevate our status in the market? We stop trying to sell it, and we start using it to gain leverage.


In the evolving "Service + Software" model, the goal is to sell a high-value, guaranteed outcome. Let’s say you charge a client £2,000 a month to completely manage their digital onboarding.


The amateur founder tries to build a £50/month "AI Onboarding Bot" and sells it to the client, hoping the client figures out how to use it.


The veteran founder charges the £2,000 retainer but uses AI internally to automate 80% of the manual labor required to deliver that service. Your client gets the bespoke, high-touch result they crave. You get the scale of software and the massive profit margins of an automated backend.


You aren't selling AI to the market. You are using AI to build a wildly profitable machine behind closed doors.


The "Wizard of Oz" AI test


Before you spend £50,000 paying developers to train a custom Large Language Model for your new startup, you need to test if the market actually cares about the output. We do this using the "Wizard of Oz" test.


Tell your prospective customers that your new software will magically take their messy spreadsheets and turn them into beautiful board-ready reports. Charge them for it. Then, when they upload their data, don't use AI. Have a human sit there, crunch the numbers, and format the report manually.


Be the person behind the curtain. If the customer complains that the report isn't valuable, or refuses to pay a premium for it, you have just saved yourself £50,000. If they won't pay for a human to solve the problem, they certainly won't pay for an AI to do it. Validate the output before you build the algorithm.


Be a plumber, not a magician


True technological innovation is almost always invisible to the end user. It shouldn't feel like they are operating complex machinery; it should just feel like their problem disappeared faster and cheaper than they thought possible.


As an entrepreneur, your job is to fall in love with the customer’s problem, not the newest technology on Twitter.


Stop trying to prove how clever your software is. Focus entirely on being the absolute best at fixing the burst pipe. Let AI be your secret weapon for scaling operations, not a shiny hood ornament on a broken engine.


Is your software solving a real problem, or just riding a trend? It is incredibly hard to read the label from inside the jar. If you are about to sink your savings into building a new "AI-powered" feature, let’s make sure people actually want the result first.


I offer a no-fluff 30-Minute Idea Audit for early-stage founders. We won't look at your code; we will look at your market. Book a slot with me here and let's find out if your idea is ready to scale, or if it needs to go back to the drawing board.


Visit my website for more info!

Read more from Carl Tucker

Carl Tucker, Consultant

Carl is an award-winning technology entrepreneur and Fractional CTO dedicated to helping founders build the future. Having scaled two successful SaaS startups, including one to 7-figure revenue, remains an active innovator, continually developing game-changing products for his own portfolio. He is widely recognized for his ability to strip away complex jargon, turning intricate technical products into clear, compelling narratives that drive sales. As a SaaS coach, he leverages his "in-the-trenches" experience to help founders build scalable, high-impact technology.

This article is published in collaboration with Brainz Magazine’s network of global experts, carefully selected to share real, valuable insights.

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