Tag: ai-adoption

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.

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.

Where Is Atlanta’s AI Hiring Actually Growing? The Data Still Need a Clearer Map

Census data show 27.1% of Atlanta-area businesses used AI in late summer, and BLS finds technical jobs more concentrated than nationally. But no official series counts AI hiring by metro, so claims of regional leadership remain unproven.

Job Postings Are Useful Signals, Not Hiring Counts

A posting is not an opening, and an opening is not a hire. July JOLTS showed 7.3 million openings and 5.1 million hires, and a new 41-country AI study shows how to use posting data without confusing the three.

A Labor-Market Dashboard for the AI Era: What We Can Measure Now and What Is Missing

Payrolls, JOLTS, wage series and a Census AI-use survey already exist; task-level and career-stage AI measures do not. A dashboard for this period should show both, clearly labeled.

AI Literacy Is Being Defined as a Skill for Every Worker. Business Adoption Is Still Uneven

The Labor Department's AI Literacy Framework says every worker will need baseline AI skills. Census data show about one business in five using AI, so a universal requirement remains a policy expectation, not a measured fact.

Productivity Gains Do Not Automatically Mean Headcount Cuts

U.S. productivity rose at a 1.4% annualized rate in the second quarter while hours worked also grew, and most AI-using firms report no AI-driven employment change. The shifts showing up are in who gets hired.

Most AI-Using Firms Have Not Redesigned Work Around It. That May Be the Harder Step

Census research finds 64% of AI-using firms made no organizational adjustments to use it, and only about 15% developed new workflows. Here is what the evidence does and does not say about redesigning work first.

Larger Employers Are More Likely to Use AI. Census Data Show Where the Gap Opens

Census survey data show 38.4% of firms with 250-plus employees reported using AI in late August, versus about 21% to 26% of firms with fewer than 100. The gap opens mainly at 100 employees, and the data carry important limits.

Does AI Adoption Tell Us More Than AI Exposure? What a 41-Country Study Shows

A Stanford working paper uses 1.25 billion job postings to identify which firms adopted generative AI. At adopters' foreign affiliates, the junior share of staff fell 1.9 points, mainly because senior hiring grew. Here is what adoption data add, and where they fall short.

An AI Exposure Score Measures Potential, Not What Happens to Jobs

Occupational AI exposure scores rate what the technology could do, not what employers do with it. New Stanford research shows the same exposure linked to falling, flat or rising employment depending on worker seniority and how AI is used.