🟢 The AI first-mover disadvantage
In chaotic markets dealing with unproven technology, companies currently spending the most on AI process automation are doing their competitors' R&D for them.
When your innovation pipeline is too successful...
A large multinational company I have been training came back to me
🟢 What Europe actually loses when Apple withholds its AI (nothing much)
On Apple, the European DMA, Siri AI, and the current lack of demonstrable value for consumer AI.
The product vs. service distinction wastes your innovation time
Sit through enough innovation workshops in large organizations, and you will eventually
The Ferrari Luce is an innovation story, just not a very good one
The outcry about the Luce's design is understandable. What it reveals about Ferrari's strategy is more interesting, and considerably more damning.
🟢 Is there an ROI for AI replacing your developers?
A quick discussion on another aspect of AI hype and real costs: when AI is good enough, do you still need developers?
The AI "job-pocalypse" feels like a Y2K bug moment
Fear often balloons when approaching transformational tech changes. Most of it is irrational, overblown, and (worse) hides the real dangers.
🟢 Future-proofing your AI strategy against US platform dependency
A playbook for European industrial leaders who want to avoid the next platform lock-in.
🟢 What Audemars Piguet gets from the Swatch deal (not much)
The AP x Swatch Royal Pop collection, launched on 16 May 2026, says everything about how mass consumer brands think about luxury, and very little about how luxury brands should think about themselves.
Who controls AI? The gatekeepers behind the model race
The question of who wins the AI race is inseparable from who controls the infrastructure layers beneath it. And the answer may already be decided.
AI is not a product
AI is explained as self-evident. It's not; it's not even a product for now.
AI bottlenecks: 3 structural constraints that will decide what this technology actually becomes
The cone is narrowing. Understanding the three concurrent pressures on AI development matters more right now than tracking model benchmarks.