Category Archives: Artifical Intelligence

The Regulator nobody lobbied against

The AI industry spends big on lobbying. OpenAI’s CEO personally argued against safety regulations and transparency requirements. The industry’s message was consistent. Regulation will kill innovation. A patchwork of state laws will fragment compliance. Let us self-regulate. They possibly were … Continue reading

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The Token Tax

Every time an AI model gets called, GPU cycles get burned. GPUs cost 6-8x more per operation than traditional CPU compute. That is structural, and right now it is mostly hidden to everyday (enterprise) users. OpenAI projects a cash burn … Continue reading

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The Paradox Is back

In 1987, Robert Solow looked at two decades of corporate IT investment and wrote one of the most quoted lines in economics. “You can see the computer age everywhere but in the productivity statistics.” Nearly forty years later, replace “computer” … Continue reading

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The big Recomposition

In the previous posts I argued that most companies think about AI linearly. Make the process faster. But keep the layout the same. Bolt the electric motor onto the old belt-and-shaft system and call it AI-progress. But there is a … Continue reading

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Transformation is not a Job Title

The average Chief Digital Officer lasts 31 months. Shortest tenure in the C-suite, falling every year. 75% leave the company entirely when they go, not sideways into another role, out the door. Nearly half of CDOs themselves describe the position … Continue reading

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The TikTok AI Trap

You have seen the pattern. A 45-second video of someone typing a prompt into ChatGPT. A flashy demo at a conference. A LinkedIn post with a before-and-after screenshot and the caption “AI just changed everything.” Three thousand likes. Zero production … Continue reading

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The Belt-and-Shaft Problem and its impact on AI

In 1881, the first factory switched from steam to electricity. You would expect a productivity revolution. It did not happen. For nearly 50 years, factories replaced the central steam engine with a central electric motor and kept everything else the … Continue reading

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The faster Horse that never was

Henry Ford probably never said “If I had asked people what they wanted, they would have said faster horses.” The quote first surfaced in a 2001 marketing magazine letter, 54 years after Ford died. No historian has found it in … Continue reading

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Think Different about AI

Many organizations treat AI like a coachman treats a combustion engine. They strap it to the old cart. These series of posts each expose a different version of that fallacy, building from the individual mental model to the organizational operating … Continue reading

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Artificial Intelligence – Creating the Environment for Adoption

Part II: Best practices and opportunities In the previous post, we were describing the main blockers that are preventing businesses from a successful adoption of AI. We identified and analyzed these five areas: vision and commitment from executive teams and … Continue reading

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