Satya Nadella Coins 'Model Overhang' — AI Capability Racing Ahead of Real-World Impact, Calls for Systems Over Models

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Via a new personal blog ('sn scratchpad'), Nadella introduced 'model overhang' as the defining AI problem of 2026: model capability is compounding faster than the infrastructure, product design, and evaluation needed to make it useful. His prescription is to build systems — multi-model, multi-agent, memory-aware, entitlement-managed — rather than betting on individual model improvements. He explicitly rejects 'AI as substitute' and frames it as 'bicycles for the mind,' setting up Microsoft's enterprise agent platform pitch as the answer.