Everyone building in AI right now is obsessed with capability. Better models, bigger context windows, more agentic behavior, multi-modal everything. And sure, the technology is moving fast.
But the technology isn't the bottleneck. It hasn't been for a while.
The bottleneck is something nobody in AI wants to talk about because it's not sexy: most businesses have no idea what to do with any of it.
Not because they're behind. Not because they're skeptical. Most of them have already tried AI. They've used ChatGPT. They've tested a handful of tools. Some have even paid consultants to "build an AI strategy."
And after all of that, they're stuck in the same place.
Not because AI failed them. Because nobody reduced the problem to something they could actually act on.
The Decision Burden Is the Product Problem
Here's what's actually happening inside most companies right now: there are too many options and zero prioritization frameworks.
Should we automate customer support or lead qualification first? Do we need an internal copilot or a customer-facing one? Should we build or buy? Should we use agents or workflows? Which model? Which vendor? Which integration layer?
Every one of those questions is reasonable. And every one of them creates friction that stops teams from doing anything at all.
This is the real dynamic in the market. It's not that businesses lack budget. Most of them have money earmarked for AI. It's not that they lack belief. They already crossed that threshold. What they lack is a decision architecture. A way to look at their operation, identify the single highest-leverage bottleneck, and commit to solving it before touching anything else.
That doesn't exist in the market right now. Not from AI vendors. Not from consultants. Not from the tool ecosystem. Everyone is selling capability. Nobody is selling clarity.
Why "AI Strategy" Doesn't Work
The consulting world responded to this gap with "AI strategy," which in practice means a deck full of opportunity matrices, maturity models, and vendor landscapes that nobody acts on.
Strategy decks don't fail because the analysis is wrong. They fail because they add decisions instead of removing them. You walk out of a strategy engagement with a 40-page document and even more options than you started with.
What actually works is the opposite. You need someone who can walk into a business, watch how it actually operates (not how the org chart says it operates) and say: "This is the one thing you fix first. Here's exactly how. Here's what it costs. Here's what changes in 90 days."
That's not strategy. That's systems design. And it's a fundamentally different skill set.
