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The Efficiency Trap: China Won The Cost Curve, The US Owns The Cash Register
Beyond Token Prediction: The Architectural Case for Truth-Grounded AI
The Day After AGI: Davos 2026 and the Intelligence Transition
The Complexity Transition: Why Human Intelligence Must Redefine Itself in the Age of Artificial Cognition
Meta's $2 Billion Bet on the Future of Work: Inside the Manus Acquisition
Meta built the world's best open-weight AI brain (Llama) but had no hands. Manus gives AI agents actual computers—VMs that can code, browse, and execute workflows. $2B+ acquisition. The Agent Era just got real.
When the Rules Are Wrong: Governing the Override in AI-Native Enterprises
The biggest paradox of AI sovereignty: the more successfully you encode intent into rules, the more catastrophically you fail when those rules diverge from reality. Enterprises that survive won't eliminate exceptions, they'll design for legitimate override from the start.
Why Do AI Innovation Pipelines Fail Without Sovereignty Design
AI innovation often fails not because the models are weak, but because companies have not decided who or what should make decisions. This article examines why sovereignty, rather than speed, is the key factor between pilot projects and reliable, large-scale results.
When Strategy Becomes Executable
Enterprise strategy no longer lives only in plans or policies. It lives in the rules by which systems act. As AI executes decisions at machine speed, advantage depends on whether intent is encoded deliberately or allowed to emerge accidentally.
Partial Sovereignty: Operating the Enterprise Between Human Judgment and Machine Execution
Enterprises will not become fully autonomous. They will operate in partial sovereignty, where some decisions execute at machine speed and others remain unresolved. Failure concentrates at the seams, not the models. Designing those boundaries is the real work.