AI Will Build a Version of What You Do. Here's the Question That Matters.

"We know AI is going to build a version of what we do. We just don't know when." A prospect told me that last week. It's the fear sitting under most boardroom conversations about AI right now — and the instinct it triggers is almost always wrong.

The wrong response is panic. The other wrong response is moving slow, hoping the threat stays theoretical long enough to ignore. The internet already taught us how this plays out, and the lesson is more reassuring — and more demanding — than either reaction.

The companies that won the internet weren't all pioneers. Some took years to get it right. What separated them wasn't speed off the line; it was that they eventually forced themselves to answer a specific question, and then rebuilt around the answer.

The winners weren't first

FedEx embedded its logistics network into every e-commerce transaction. The more the internet grew, the more indispensable FedEx became — not because it invented online shopping, but because online shopping couldn't function without the physical capability it already owned.

Schwab used its existing brokerage scale and customer trust to make online trading the default rather than a disruption. It didn't treat the web as a threat to its business; it treated it as a faster way to deliver what it was already trusted to do.

Best Buy nearly got killed by Amazon before it turned its store footprint — the very thing that looked like a liability — into a fulfillment and service advantage no pure-play could replicate. The asset that seemed obsolete became the moat.

None of them were first. What they shared was the discipline to ask: what does the internet change about value creation in our category, and how do we reposition around that?

Ask the higher-order question

AI demands the same question, at a higher order of magnitude. Not "how do we add AI to what we already do" — that's table stakes, and your competitors are doing it too. The real question is: what does AI change about value creation in your category, and how do you use it to compound the advantage your competitors can't replicate from scratch?

That reframe matters because it changes what you're optimizing for. Defending against AI is a losing posture — you're spending energy protecting a position that's already being eroded. Repositioning around AI is an offensive one. You start from what you uniquely have — proprietary data, distribution, customer relationships, operational scale — and ask how AI makes those assets harder to compete with, not easier to copy.

FedEx's network, Schwab's trust, Best Buy's stores: in each case the durable advantage was something the technology amplified rather than replaced. Your version of that asset is what you should be pointing AI at. A competitor can spin up the same model you can. What they can't easily spin up is twenty years of customer data, an entrenched distribution channel, or a brand customers already trust with their money.

So the question isn't how do you defend against AI. It's how does AI make what you already have harder to compete with.

The companies that lose the next decade won't be the ones that moved too slowly to adopt AI. They'll be the ones that bolted it onto the old model and called it a strategy. The ones that win will treat AI the way the best companies treated the internet — as a forcing function to rebuild around their real source of advantage. Find that asset. Then ask what AI does to compound it. That's the only version of this question worth answering.

David Manela is co-founder of Exactius, a growth and data science company. Follow him on LinkedIn for more frameworks on growth, marketing, and capital allocation.

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