Conclusion: The Window Is Closing
- The Pattern Repeats
- The €14 Billion Lesson from Automotive
- The AI Parallel: 2024's Strategic Crossroads
- Why "The Experts" Don't Have the Answers Yet
- What AI Literacy Actually Means
- Die entscheidende Frage: Angeln beibringen oder für dich angeln?
- The Monday Morning Action Plan
- Conclusion: The Window Is Closing
The companies that succeed over the next decade won't be the ones with the best AI vendors. They'll be the ones that built AI as organizational muscle - a core capability that every employee has, not something outsourced to specialists.
Right now, you have a rare opportunity. AI is new enough that no one has a structural advantage. The consultants don't know more than you do. The technology is accessible. The tools are cheap. And the skills can be learned.
But the window won't stay open. Every month you wait, the gap widens. The companies investing in AI literacy today will be faster, leaner, and smarter in 18-24 months. And the companies that outsourced? They'll be locked into dependency, scrambling to catch up, and realizing - too late - that they handed away strategic control.
The CARIAD story isn't about Volkswagen's failure. It's about what happens when you try to buy capability after deciding it doesn't matter. VW learned this lesson the hard way. CARIAD's €14 billion failure proves that you can't buy back capabilities you should have built from the start. Organizational learning doesn't work that way. €14 billion couldn't solve the problem. Not because the money was insufficient, but because organizational learning doesn't work that way. You can't skip the learning phase, then pay to catch up later.
The organizations that will win aren't those with the best AI strategy documents. They're the ones where AI literacy is becoming organizational muscle. Where people at every level can evaluate new tools, spot opportunities, and act on them. Where the response to AI evolution is adaptation, not waiting for external experts to provide solutions.
The choice isn't whether to use AI. That's already decided. The choice is whether you'll build the capability to use it effectively, or whether you'll outsource that capability and spend the next decade trying to buy it back.
Twenty years from now, we'll have case studies about the AI era equivalent of CARIAD. Companies that recognized the importance of AI too late. That tried to catch up by throwing money and consultants at the problem. That discovered organizational capability can't be purchased.
The question is whether your company will be the case study or the company that learned the lesson.
So here's the question: will you build AI capability now, while the playing field is level? Or will you outsource it, create dependency, and spend the next decade trying to catch up?
The choice is yours. But the clock is ticking. The decision you make in 2026 will determine which one you become.