An Industrial Translation of Harald Weiss’s Analysis on heise online Harald Weiss published a sobering analysis on heise online: 56 percent of CEOs report neither revenue nor cost benefits from their AI investments. Only 12 percent claim measurable success on both dimensions. Meanwhile, 67 percent of companies are increasing their GenAI budgets further. If you…
An Industrial Translation of Jamin Mahmood-Wiebe’s t3n Article Jamin Mahmood-Wiebe recently published a piece on t3n outlining five mistakes that stall AI agents in the enterprise. His conclusion: “Architecture beats technology.” It’s a solid article. But it’s written from the perspective of web development and SaaS startups. I’ve spent 30 years in manufacturing. And I…
Four GPUs in the Basement Last week I spoke with the managing director of a mid-sized company in healthcare. Sensitive patient data, strict regulatory requirements, an IT team of modest size. His AI strategy? Four Nvidia H100s in the server room. Six months ago it was one. Not because he has money to burn. But…
Reading time: approx. 7 minutes One sentence that says it all “Will our bills of materials end up in ChatGPT?” I hear this regularly. In meeting rooms of mid-sized manufacturers, from managing directors who run their company in the third generation. From people who know every customer by name and every machine on the shop…
Why We Need “Adult Supervision” – Not Better Prompts Here’s the strategic, high-impact English translation of your Agentic AI in Supply Chain article, optimized for C-level executives, supply chain leaders, and industrial decision-makers while preserving your authoritative, no-nonsense tone and technical depth: Agentic AI in Supply Chain: Why 95% Accuracy Is a Risk, Not a…
In my 30 years in industry, I’ve seen a lot. But one paradox has never been sharper: While we philosophize about autonomous factories in the C-suite, we’re burning capital daily in operational supplier deviation management. Why? Because we’re wasting highly skilled planners and buyers as “data couriers.” The problem isn’t lack of data. The problem…
Not metaphorically. Literally. The Wake-Up Call A few years ago. Major automotive supplier, Stuttgart region. We implemented a Transport Management System—technically robust, operationally sound. Then came the reality check: The system couldn’t calculate optimized routes. Not because the algorithm was flawed. Because no one knew how much the parts weighed. Or how big they were….
This technical article examines the strategic transformation of the furniture industry through Agentic AI and Smart Factory concepts. It demonstrates why technological change extends far beyond the shop floor. Originally published in Clubianer 2025 (CHTR.de), the full article is available for download (in German) at the end of this post. The Transformation of Production Artificial…
