AI Is Making Every Company Think the Same. That's Going to Decide Who Survives.

A client sent me their new marketing strategy last month. It was good. Well-structured. Clear priorities. Actionable recommendations.

It also read exactly like the marketing strategy another client sent me the week before. Different industry. Different audience. Different budget. Same framework, same buzzwords, same conclusions.

I asked both of them the same question: "Did you use ChatGPT for this?" Both said yes. Neither was surprised when I told them the other client's strategy looked identical.

I wrote before about how every AI-built website looks the same. Turns out, the problem goes much deeper than design. It's not just websites converging. It's how companies think, plan, and make decisions.

Nine People Named Their Toy "Build-a-Breeze Castle"

This isn't an anecdote. This is a Nature-published study.

Researchers at Wharton gave participants a simple creative task: invent a toy using a brick and a fan. Half the group brainstormed on their own. The other half used ChatGPT.

The human-only group? Their ideas were all over the place. Weird, unexpected, genuinely diverse. The ChatGPT-assisted group? 94% of their ideas shared overlapping concepts. And here's the detail that keeps sticking with me: nine different participants, working independently, all named their toy "Build-a-Breeze Castle."

Nine people. Same toy. Same name. Not because they copied each other. Because they all asked the same AI, and the AI gave them all the same creative direction.

The study ran across five experiments. The pattern held every time. ChatGPT improved the average quality of individual ideas. But it significantly reduced the diversity of ideas within groups. Better average, narrower range. That's a trade-off nobody's talking about in the "AI will make us all more productive" conversation.

Now imagine that's not toy names. Imagine that's your content strategy. Your pricing model. Your hiring approach. Your competitive positioning.

The Strategy Meeting That Sounds Like Every Other Strategy Meeting

I sit in a lot of client strategy meetings. Not as many as someone at a big agency, but enough to notice patterns.

The patterns have changed in the last year. Not in the way you'd expect. The strategies themselves haven't gotten worse. If anything, the baseline quality has gone up. Everyone's SWOT analysis is cleaner. Everyone's competitive matrix is more thorough. Everyone's content calendar is more organized.

But they all sound the same.

The same "pillar content" approach. The same "authority building" framework. The same "customer journey mapping" structure. I wrote about a client who spent $2,400 on a growth consultant, and the deliverable read like a ChatGPT prompt chain. That was a year ago. Now, companies are cutting out the consultant and going straight to ChatGPT, and they're getting the same generic output directly.

MIT Sloan put it bluntly: "Far from being a source of differentiation, artificial intelligence will be a source of homogenization." Once every company has access to the same AI tools, those tools stop being a competitive advantage. They become table stakes. And table stakes don't differentiate you from anyone.

Your Brain Is Literally Less Active When AI Is Helping

This is the part that moves it from a business strategy concern to something deeper.

A study covered by The New Yorker found that subjects using ChatGPT demonstrated measurably less brain activity than those working without it. Students produced "eerily similar essays, converging on identical phrases and ideas." Not because they were copying. Because the AI was doing the heavy cognitive lifting, and their brains were coasting.

A Cornell researcher described it like having a teacher sitting behind you at all times, constantly whispering, "this is the better version." Eventually, you stop forming your own version entirely.

USC Dornsife published research in March 2026 showing that AI chatbots are standardizing how people speak, write, and think. Not just the outputs. The thinking itself. They found that AI systems tend to align with what they call WHELM perspectives: Western, High-income, Educated, Liberal, Male. That's not a value judgment. It's a data point about whose worldview is being amplified and whose is being flattened.

I've written about how AI coding tools are atrophying my own skills. That's the same pattern in a different domain. The muscles you don't use get weaker. The thinking you outsource gets duller.

The uncomfortable question: if AI reduces your brain activity when it's helping you think, what happens to the quality of your decisions over time?

When Everyone Buys the Same Brain

A think tank CEO said something in Business Insider that I haven't been able to shake: "If you and your competitor are all using the same service, you have no edge over each other."

That's obvious when you say it out loud. But look at what's actually happening. Every company is using the same ChatGPT or Claude for strategy. The same AI for content. The same tools for market research. The same models for pricing analysis. They're all feeding similar problems into similar systems and getting similar answers.

HBR published a piece in February 2026 arguing that when every company can use the same AI models, organizational context becomes the competitive differentiator. Your specific way of doing things. Your accumulated judgment calls. Your coordination patterns.

But here's the problem. Most companies don't have unique context. They have the same org charts, the same OKR frameworks, the same quarterly planning cycles, the same "move fast and iterate" mantras. The context they'd need to differentiate their AI usage is exactly the kind of institutional distinctiveness that's been management-consultanted out of most organizations over the past two decades.

Deloitte's 2026 Global Human Capital Trends report found that 70% of AI's transformative value depends on meaningful transformation of people and processes, not algorithms and infrastructure. Technology accounts for only 30%. Yet 59% of C-suite leaders are taking a tech-focused approach. They're buying the same brain as everyone else and expecting different results.

Companies become faster in the short term. But also more fragile. Because when you hollow out human judgment, expertise, and institutional knowledge, you've got nothing to fall back on when the AI gives you the same answer it gave your three biggest competitors.

The Feedback Loop Nobody Talks About

This is where it gets genuinely concerning.

AI models are trained on internet content. More and more internet content is now AI-generated. So AI is increasingly training on its own output. This creates a narrowing spiral. Less diversity in the training data leads to less diversity in the output, which becomes the next generation's training data, which produces even less diversity.

I wrote about how the internet is already 70% bots and AI slop. That slop isn't just cluttering search results. It's feeding back into the models that generate the next round of content, strategy, and ideas.

Researchers call this "model collapse." The AI's output distribution gets narrower with each generation. The weird ideas, the outlier perspectives, the unconventional approaches get pruned away. What remains is a converging average. Competent. Polished. And increasingly indistinguishable from everything else.

This isn't science fiction. This is measurable right now. And it will accelerate.

What Actually Creates an Edge Now

The Wharton researchers found something interesting in their follow-up work. When they required participants to brainstorm on their own first, before engaging AI, the diversity of ideas was preserved while still getting the quality boost from AI refinement.

They called it a "human-first round." Think before you prompt. Form your own opinions before asking the machine to optimize them.

Another finding that stuck with me: top performers actually got worse with AI. Their best ideas were already better than what ChatGPT could suggest. The AI pulled them toward the average rather than helping them exceed it. The people who benefited most from AI were those who started with weaker ideas. AI raised the floor but lowered the ceiling.

MIT Sloan's conclusion: sustained advantage still comes from creativity, drive, and passion. The same things it always came from. AI didn't change that equation. It just made the default output more polished.

What does this mean for someone like me, running a one-person agency? Honestly, it means being small and opinionated might be the biggest advantage I've ever had. I use AI tools every day. But I use them for execution, not for thinking. The strategy, the positioning, the weird ideas that don't fit neatly into a framework, those come from years of working with actual clients and having actual opinions.

Big companies can't help themselves. They'll standardize on AI for everything because that's what large organizations do. They optimize for consistency. And consistency is exactly what AI delivers. Which is exactly the problem.

I Don't Have a Neat Answer for This One

I use AI heavily. I benefit from it. I'm writing this post while AI tools run in the background helping me with three other projects.

And I see the convergence happening in real time. In client strategies. In marketing content. In the way people frame problems. In the solutions they propose. Everything is getting more competent and less interesting at the same time.

Maybe this is fine. Maybe "competent but same" is a perfectly acceptable outcome for most business decisions. Maybe the world doesn't need every company to have a radically different content strategy.

But I think the companies that survive the next five years will be the ones that kept thinking for themselves. Not the ones that prompted best. Not the ones with the most expensive AI subscription. The ones that maintained the capacity for original thought even when a machine offered to do the thinking for them.

That's not a framework. It's not actionable in a quarterly planning meeting. It's just what I believe after watching nine people name their toy the same thing.

Want a web strategy that doesn't sound like everyone else's? That takes a human who still thinks for themselves. Let's talk.