Employer AI Adoption

Factory Job Ads Asking for AI Skills Advertise About 30% More Pay for Production Roles, Fed Staff Analysis Finds

Manufacturers are asking for artificial intelligence skills in their job ads more often than the rest of the economy, and they are advertising higher pay when they do, according to a Federal Reserve Board staff analysis of online job postings.

Finance Teams Spend 26% of Their Workweek Checking AI Output, Survey Finds

A survey of 270 U.S. CFOs and finance leaders found finance teams spend an average 26% of their work time verifying or correcting AI output, while only 3% report actively reducing headcount where AI replaced work.
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SAP to Acquire TechWolf as Workforce Planning Moves Deeper Into AI

SAP plans to acquire TechWolf, whose platform maps tasks, skills and external labor-market data to support hiring, reskilling, redeployment and workforce planning.

Microsoft Moves Office and Teams Deeper Into Its Copilot Organization

Microsoft said LinkedIn and Microsoft 365 chief Ryan Roslansky is leaving, and the teams behind Office and Teams now report to Charles Lamanna. Satya Nadella framed the change around “a new OS for work” with Office fully embedded in Copilot.

GPT-Synopsys Brings an AI Model Into the Chip-Design Toolchain

Synopsys and OpenAI announced GPT-Synopsys, a model meant to run chip-design software, interpret its output and iterate on designs. Synopsys says the model’s work will still be checked by conventional sign-off tools.

AI Exposure Scores Miss Much of the Difference in Who Actually Adopts the Tools

An NBER working paper using German worker survey data finds an index of AI's comparative advantage explains almost 60% of cross-occupation differences in adoption, versus 14% for exposure alone.

The Labor Behind AI Productivity May Be the Knowledge Firms Build Around It

An NBER working paper links hiring of AI-skilled workers at U.S. public companies to about one extra point of productivity growth a year since 2018, and argues the gain comes from organization capital, not software alone.

AI Coding Tools Increase Commits Much More Than Finished Software, Study Finds

An NBER working paper tracking more than 500,000 GitHub developers finds AI coding agents sharply raise commits but lift actual software releases far less, pointing to human bottlenecks after code is written.