A developer in Melbourne wakes up to find her AI agent returning 403 on every call. A US government directive killed the model overnight. Her data never left Australia. The model that reasoned over it was American. That was the only fact that mattered.
$2.5 trillion in AI spending this year. The world’s first trillionaire. And the governance frameworks meant to guide this? Principles documents that nobody is obliged to follow. Research on 500-year-old monasteries reveals the mechanism that actually works.
A developer writes the same function for the fourth time and something revolts. Their AI pair programmer would write it a fortieth time without flinching. On laziness, abstraction, and what we lose when the friction disappears.
AI is reshaping what technical leaders are for. Six patterns of response — buyer, vibe builder, depth-seeker, evangelist, governor, abstainer — each delegating the thinking somewhere different. The trap is not AI. It is the certainty.
Everyone's asking where the moats are when AI tooling is everywhere. One answer is becoming clear: codified organisational knowledge that can be acted upon at machine speed.
What's happening to listed SaaS companies is exactly what happened to translation companies in 2021. Markets don't fear AI — they fear the collapse of their predictive frameworks.
Anthropic's Claude Cowork plugins wiped tens of billions off software valuations in days. This is what disruption looks like in 2026 — a cliff edge, visible in real time.
87.4% of European SMEs don't use AI. The barrier isn't complexity or cost — it's trust. The EU is investing €1B to solve the right problem.
The EU's €1B bet on specialised AI models isn't new policy — it's validation of what already works. General models are flexible. Specialised models are actually deployable.
The more powerful our language models become, the more they resemble learned ignorance. The real breakthrough is domain mastery, not universal knowledge.
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