AI could boost software engineer productivity by 32.6%
Market data: financial markets are pricing in a 32.6% productivity boost from AI coding tools. What that means for your budget.
Why it matters
NBER economists used stock-price reactions to AI announcements as a proxy for market expectations of software engineer productivity gains. The 32.6% figure is a market expectation, not a measured deployment outcome—useful for budgeting conversations, but a ceiling, not a guarantee.
The key facts
12 to knowNBER study: market expected 32.6% productivity increase in software engineering from Nov 2022 to Dec 2025
Methodology: inferred from stock price responses to AI announcements for non-software/semiconductor firms
Tools cited: Anthropic Claude Code, OpenAI Codex
Timeframe: Nov 2022–Dec 2025
Author note: market expectation, not actual measured productivity per firm
Source: The Macroeconomic Effect Of AI: Sizing The Software Engineering Channel (NBER)
NBER paper: 'The Macroeconomic Effect Of AI: Sizing The Software Engineering Channel'
Market-expected productivity increase: 32.6% (permanent equivalent) from November 2022 to December 2025
Methodology: stock-price responses of non-software/non-semiconductor firms, cross-referenced against software engineer reliance
Finding is market expectation, not measured productivity delivery
No breakdown by tool, company size, or implementation outcome provided
Published Oct 2, 2026
Go to the source
Computerworldcomputerworld.com
Publisher excerpt: Tools such as Anthropic Claude Code or OpenAI Codex have changed the face of software development, and all the signs are that this investment is set to increase further. But is paying a monthly subscription (and perhaps additional usage fees) cost-effective? Will the increasing level of investment…