How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final output? We study these questions in the ...

AI coding assistants are rapidly becoming standard in software teams, promising faster delivery and fewer tedious tasks. Yet new internal research from Anthropic suggests that the same tools that ...

In today’s technology organizations, CIOs and CTOs frequently hear the question: “How much of our code is written by AI?” A common response to this question is something like, “Thirty percent of our ...

Greg Brockman’s comments at Sequoia’s AI Ascent 2026 conference fit a pattern of AI lab leaders citing self-reinforcing productivity numbers, but the underlying evidence on AI coding productivity ...

Nicholas Bloom, the William D. Eberle professor of economics at Stanford University, delivered a live presentation on the productivity economics of AI on March 24, 2026. Professor Bloom explored AI ...