Category Archives: Artifical Intelligence

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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Artificial Intelligence – Creating the Environment for Adoption

Part I: The blockers AI or Artificial Intelligence promises to unlock growth and raise productivity. While some companies started to adopt Artificial Intelligence successfully, many industries remain relatively untouched by AI. How to increase the adoption of AI is now … Continue reading

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Artificial Intelligence to power the next wave of enterprise apps

What is behind the rise in enterprise apps and why has the apps market suddenly been alerted to the analytic power and automation of processes that AI offers? Despite the hype, vendor noise and press column inches, artificial intelligence (AI) … Continue reading

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