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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
We analyze the relation between regulatory intervention against a dominant technology platform and complementor performance. Using a new, hand-collected dataset on enterprise infrastructure software firms from 1998-2004, we examine the relationship between the U.S. Department of Justice's antitrust lawsuit against Microsoft (a dominant enterprise platform owner) and value creation and value capture among infrastructure software firms (complementors) and Microsoft itself. The data show that citation-weighted patents by complementors is increased following the antitrust settlement but profitability is reduced. The findings suggest a social benefit to antitrust enforcement in the form of increased innovation but caution that disrupting the “order” of an industry may lead to losses in efficiency.
