The AI Signal Most Founders Are Missing
14th April 2026
If you run an SME, the AI noise has become exhausting. New tools every week. Breathless predictions. Everyone telling you to act, nobody explaining where to start.
Here's one signal worth paying attention to.
The companies building the most advanced AI on Earth have quietly stopped competing to hire scientists — and started competing to hire salespeople. That shift tells you something more useful than any trend report.
The research phase is over. The deployment race has begun.
The frontier labs — the Anthropics, OpenAIs, and Googles — still hire researchers. Fewer of them, at a higher bar. What they're scaling now is commercial and operational machinery: enterprise sales teams, infrastructure, and a new type of role that barely existed three years ago.
They call it the ‘forward-deployed engineer’ - or GTM Engineer (GTM being ‘go-to-market’). Part builder, part consultant, part commercial operator. Someone with a computer science background — often a former founder — who can sit in front of a client and build a working solution on the spot - someone who can sell and talk technical.
One leading AI scale-up in San Francisco has a go-to-market team where 20% of hires are former founders. That's not an accident. It's a signal about where value in AI is shifting: from building the model to deploying it commercially.
When the companies at the absolute frontier start investing more in salespeople than scientists, the technology has crossed a threshold. It's no longer a research problem. It's a deployment problem.
And what happens at the frontier reaches your business within 12 to 24 months.
The gap between what AI can do and what businesses actually use it for is vast
Anthropic published research in March 2026 tracking real-world AI adoption across the economy. The finding that should focus every business leader's attention: in most occupations, AI is currently being used for a fraction of the tasks it could already perform. The sectors where the gap is closing fastest? Software, customer service, financial analysis, data processing.
The disruption isn't visible in the headline numbers yet. But by the time it is, the businesses that moved early will already be operating differently. Not marginally differently — structurally differently.
An important note for a founder: any serious investor is already factoring AI into how they value a business. If you have processes and data, you have an AI question. Not having an answer is increasingly an answer in itself.
Why most SME founders haven't moved
Here's what I've found working directly with founders and directors: most of them aren't behind because they made the wrong decision about AI. They're behind because they haven't made any decision.
The volume of noise creates paralysis. Too many tools, too many conflicting opinions, too little time to work out what actually applies to the business you're running. So the default is to wait.
Waiting is the most expensive option available.
The antidote isn't a strategy document or a technology roadmap. It's getting AI in front of the people who actually run the business — founders, directors, senior leadership — and working through what it can do for the problems they already have. Not a lecture. A working session, applied to their world.
That shift — from abstract awareness to practical understanding — changes the questions people ask. Not "should we be doing something about AI?" but "where does this fit in our client work?", "what does our data need to look like?", "who on the team should learn this next?"
The right first move unlocks every move after it.
Paul Mann is Founder & Managing Director of Pathmaker Advisory — AI training, process automation, and strategic advisory for SMEs and professional services firms. He previously held a senior role at Zeki Data, an AI talent intelligence firm, and has 20 years' experience across professional services, including KPMG and founding his own consultancy.
