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Author Archives: dselz
AI agents & Marketplaces are like Ryanair & Legacy Airlines
Classifieds marketplaces have long operated like hub airports: buyers and sellers are forced through a central portal that charges for the connection. AI agents change that by enabling direct, point-to-point matching across listings—eroding the discovery toll that created outsized margins. With no “long-haul” segment to retreat into, marketplaces face a structural reset toward trust, verification, and assisted closing rather than captive attention. Continue reading
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A Stress Diagram Cannot Be Scraped
Frontier models are becoming interchangeable; the differentiator is context. In industrial manufacturing, the real moat is connecting physical test signals, structured lab data, and cross-system workflow agents that turn measurements into decisions. The winners will pair AI capability with deep domain expertise and the operational wiring that models can’t replace. Continue reading
Posted in Artifical Intelligence, Business, PracticalEconomics, Think Different
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Magnifica Humanitas: The Pope Just Audited the AI Industry
Read as an audit, Pope Leo XIV’s first encyclical lands three critiques the AI industry already knows but rarely admits: frontier systems are cultivated more than engineered, alignment can’t stay a closed in-lab project, and AI has a very real human supply chain. For practitioners, it’s less sermon than board memo—and it comes with regulatory deadlines and due-diligence consequences. Continue reading
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Buy the Workflow, not the Agent
If you are buying an agent platform in 2026, you are buying a rebuild in 2027. A few early indicators paint the following picture: The agent is not the problem; the architecture around it is. An agent has three things … Continue reading
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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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