You Think You Can Afford to Wait on AI. You Can’t.

There’s a version of this you’ve probably told yourself.

“We’re heads down on the product right now.” Or: “Our engineering team is already using Copilot, so we’re covered.” Or the most common one: “We’ll get to it properly once we’ve got past this quarter.”

You’re not alone. Most founders are saying some version of this. And that’s exactly the problem.

Tim Barker spent 20 years building SaaS businesses. He scaled a company from 100 to 600 people and $80 million in revenue. He knows how founders think, because he was one for a long time.

And in April 2026, standing at Business of Software Europe, he said something that should make every founder who’s been putting this off sit up:

“I honestly thought that in two or three years, my currency in SaaS would run to zero. I’ve got to reinvent myself for this next chapter.”

That’s not a warning from an AI evangelist with something to sell. That’s a practitioner who’s spent seven months inside an AI-native business, watching the gap open up between companies that moved and companies that waited.


The Gap Is Already Opening

Here’s what’s happening right now, whether you’re watching it or not.

AI-native companies, some of them five people, are shipping the output that a 25 to 35-person team would have shipped 18 months ago. Seed-stage startups are arriving at Series B milestones before they’ve raised their first proper round. The bar for what “promising early traction” looks like has permanently shifted, because the cost of building to that traction has collapsed.

“The first thing you probably always do when you’re looking at a new organisation on LinkedIn is you go look at the insights and see how many people there are in the business. It gives you a good proxy for how successful they are,” Tim told the BoS Europe audience. “Not anymore.”

If your competitors have figured this out before you, they’re not just moving faster on one feature. They’re moving faster on every front at once: marketing, operations, sales pipeline, product iteration, with a fraction of the team you think they need to be doing all of that.

And here’s the uncomfortable part: you won’t see it coming until the gap is significant. Because these organisations don’t look different from the outside until suddenly they do.

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“But We’re Already Using AI”

This is usually where the pushback comes.

Yes, your engineers are using Copilot. Yes, you’ve got a ChatGPT subscription in the marketing team. Yes, someone ran a few experiments with a chatbot on the website last year.

That’s not what we’re talking about.

Tim is explicit that engineering is the one area he’s not going to address, because AI in engineering is “a well-trodden pathway” and if you’re not using it already, you should be by now. The harder, more important question is everything else: marketing, operations, sales, product strategy, leadership decision-making.

Most founders have handed the AI question to their CTO and considered it done. What they’ve actually done is handle 20% of the opportunity and ignored the other 80%.


The Real Cost of Waiting

Every month you don’t build an AI operating system into your business is a month your competitors might be compounding a learning advantage you can’t buy back.

Here’s what Tim built in seven months with five people:

Fourteen AI agents, each with a clear role and defined boundaries. Four guardian agents that check the work of the others. A daily marketing analyst that monitors LinkedIn conversations and surfaces relevant engagement opportunities at 8am every morning, costing $0.20 a day. An automated leadership meeting processor that captures every decision, updates a decision log, and feeds that context back into the AI’s working memory so it’s never starting from scratch. A growth marketing agent that runs ego-free analysis of every experiment, every day, with no one in the room with a vested interest in one campaign over another.

This isn’t science fiction. This is what a small, well-run team can build right now. The agents get better. The feedback loops tighten. The organisation learns.

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Why Founders Keep Putting It Off

It’s worth being honest about why this keeps not happening.

Some of it is genuine busyness: there’s always something more urgent than a strategic transformation. Some of it is delegation, assuming the CTO has it, or that a future hire will own it. Some of it is genuine uncertainty about where to start, and a reasonable fear of getting it badly wrong.

But some of it is something harder to admit: the suspicion that if this is real, it threatens the model you’ve spent years building. The team you’ve assembled. The playbooks you know work. The instincts you’ve honed over a career.

Tim gets that. He chose to walk away from the obvious next chapter (another PE-backed business, a portfolio of board seats) precisely because he recognised that his accumulated SaaS expertise had a shortening shelf life. He went all in on learning something new, from scratch, in a startup, at a point in his career where that was a risky choice.

Most founders won’t make that call. But most founders could take the first step.


What the First Step Actually Looks Like

It’s not a transformation programme. It’s not a working group or a governance framework or a six-month evaluation plan.

“Build something yourself,” Tim said. “All of you as leaders cannot delegate this.”

A passion project. Something small and low-stakes that forces you to use the tools, understand the capabilities, and feel what the feedback loop actually does. Tim’s building a running app for himself. Not because it matters to the business. Because it makes him a practitioner, not just a sponsor.

From there: one experiment, with one function leader, with a 30-day horizon. Not to evaluate AI. To deploy something, learn from it, and make the next decision with real data rather than a theoretical assessment.

“This year is the year I hope all of you have got AI transformation in your top three priorities,” Tim said at BoS Europe. “If you haven’t, talk to me afterwards – because you need to start the journey at an organisational level, not just an engineering level.”

The founders who’ll look back on 2026 as the year they figured this out aren’t the ones who’ve been studying it the longest. They’re the ones who stopped waiting for a more convenient moment.


This Is Exactly What We’re Working Through in the Workshops

The Business of Software Build Your AI Company Operating System workshop is where practitioners like Tim share what actually moved the needle, and what to skip.

→ Join the workshop

Not sure where to start? AI in Your Business: Where to Start live online workshop is built for founders at the moment of deciding this matters.

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Tim Barker spoke at Business of Software Europe 2026. He is the founder of Attain IP, an AI-native legal tech business, and a former CMO at Salesforce and CEO of a 600-person digital healthcare company.