Observations.
What I'm seeing right now — from ongoing conversations and projects. Twice a week, also on LinkedIn.
2026
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LLM Homogenisation — Why Your LLM Makes You Average
ChatGPT makes you average. Not because it's bad — but because it does exactly what it was built to do.
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Should the CFO Lead AI — Not the CTO?
A recent HBR study compared over 1,000 companies. The result is remarkably clear: AI initiatives under finance leadership deliver measurable business value in 76% of cases. Under IT leadership, it's 53%.
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AI Agents in Production — The First Documented Incidents Reveal a Systemic Pattern
AI agents in the enterprise are no longer pilot projects. They make decisions, modify data, access systems — with the same permissions as the person who launched them. No confirmation. No limits.
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3 Warning Signs Your Company Isn't AI-Ready
"We need to do something with AI."
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AI Agents: Brilliant at Clear Tasks, But Not for DIY Builders
A new employee asks when something is unclear. An AI agent doesn't. It works with what it gets — and when in doubt, delivers convincingly sounding wrong results.
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Your Data Isn't AI-Ready — And That's Your Biggest Lever
McKinsey reports: 88% of companies use AI. At the same time, Gartner says: 57% of organisations have data that isn't AI-ready. That's not a contradiction — that's the norm.
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The Self-Driving Question — When Do You Delegate to AI?
Self-driving cars have fewer accidents than humans. Yet we still sit behind the wheel.
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Hallucinations: Measurably Improving, But You Need to Know
Knowledge workers spend an average of 4.3 hours per week verifying AI answers for accuracy. Not because they're paranoid — but because hallucinated answers sound just as convincing as correct ones. Often even more so: an MIT study shows that AI uses more confident language in wrong answers than in correct ones.
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Where AI Already Works Today — the Spec+DoD Formula
If you want to understand where AI works and where it doesn't, two questions are essential: Can you precisely describe what you want beforehand? And can you verify whether the result is correct afterwards?
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The Software Revolution Nobody Saw Coming
I come from software development and built a software company myself. What is happening in this industry right now, I have not seen in 30 years.
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AI in 2026: Why This Year Is Decisive
In conversations with executives, I'm seeing two reactions to AI right now: anxiety, because they don't know where to start. Or complacency, because ChatGPT seemed so easy.