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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
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.
When Strategy Becomes Code
Enterprise strategy is becoming executable. When intent is encoded into systems, governance shifts from oversight to architecture, and power shifts to those who define the rules. In the AI era, sovereignty is not assumed; it is engineered.
From Intent to Sovereignty: Designing the AI-Native Enterprise Operating Model
Enterprise AI fails not from weak models, but from ambiguous intent. This piece explores how executable logic, grounded truth, and earned authority transform AI from experimentation into sovereign, controllable action.
From Intent to Action: Designing the Executable Operating Logic of the AI-Native Enterprise
Scaling AI safely isn’t about better agents, it’s about sequencing truth, logic, and authority. This post introduces Executable Operating Logic as the missing layer between intent and action.
When AI Acts: Designing Authority, Accountability, and Failure in Agentic Systems
The moment an AI system can execute a transaction, it becomes an organizational actor. This article explores how to design authority, failure recovery, and accountability into agentic systems, before autonomy outpaces governance.