STRATEGY 8 min read

Why 90% of AI strategies end up in a drawer

47 pages, 12 charts, 0 deployments. The anatomy of a document that never stood a chance.

AI strategy in a drawer

I just closed a PDF titled "AI Strategy 2026" that some company paid the price of a small apartment for. Does it look impressive? Yes. Will it change anything in the business? Absolutely not. McKinsey confirms it: only 7% of companies have fully deployed AI at organizational scale. The rest are stuck in eternal "pilot mode."

Let's stop kidding ourselves and say it out loud: PowerPoint is not a strategy. Excel is not a plan. A document is not a deployment.

Anatomy of a dead document

The typical "AI Strategy" looks the same at every company. 47 pages of buzzwords, 12 Gartner charts, and zero concrete steps that anyone will actually take on Monday morning.

It's classic "innovation theater." It gives the board a sense of security ("we have a plan!"), but in reality the team is still copying data out of PDFs into Excel.

TYPICAL ELEMENTS OF A DEAD STRATEGY

  • ✗ "AI Vision 2030" - a goal so distant that nobody feels accountable
  • ✗ "100 use cases" - a wish list with no priorities
  • ✗ "AI Center of Excellence" - a new department with no mandate
  • ✗ "Transformation roadmap" - a Gantt chart nobody ever updates

Why does this happen?

Because companies treat AI as an IT project, not a business change. They hire consultants who write beautiful documents but have no mandate to deploy them.

"It's like a GPS that only shows the destination - 'We'll be the market leader!' - but never shows the route. Nice to know you want to reach Rome, but in reality you're stuck in traffic outside Radom."

What works instead?

A strategy that actually works doesn't run 50 pages. It fits on a single sheet of A4:

STRATEGY ON 1 PAGE

  1. 1. Find the bottleneck - the one burning money RIGHT NOW
  2. 2. Build an ugly prototype - in 2 weeks, not 2 years
  3. 3. Measure the result - a concrete business metric
  4. 4. Decide - works → scale it, doesn't work → trash it

The rest is business fiction.

What does it look like in practice?

Instead of "we're deploying AI in marketing," you get: "We're cutting content creation time from 4h to 30min." Instead of "digital transformation," you get: "We're automating process X that costs us Y a month."

Specifics. A measurable result. A deadline that keeps people on edge.

The takeaway

Stop writing strategies. Start solving problems. One small win is worth more than 100 pages of visions for the future.

SP

Szymon Paluch

ex-CTO · AI Strategy

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