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Cross-referencing Karpathy's AI exposure treemap with Anthropic's observed coverage data, Stanford's entry-level impact research, and the measurability thesis. Four interactive views of the gap between what AI could disrupt and what it actually is.
Karpathy mapped which jobs AI could disrupt. Anthropic measured which ones it actually is. The gap tells us everything about where we are, and the fault line isn't skill or education. It's whether your output can be measured.
AI scales execution to near-zero cost. But verifying that output stays biologically bounded. The bottleneck was never intelligence. It's human verification bandwidth.
Decoding MCP's Technology, Market Impact, and Potential as a Foundational AI Standard.
Do the right thing!
From Novice to Apprentice
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