// artificial intelligence
News and explainers on how AI is changing work: layoffs and hiring attributed to AI, the occupations most exposed, entry-level jobs, skills, and AI use in education.
HubSpot says it is cutting nearly 660 jobs, about 7% of its team, to cut management layers and reorganize around its AI strategy. Its CEO says AI-related efficiencies did not drive the decision.
DNB says agentic AI is replacing manual tasks and names customer checks and coding as areas of gain. It will cut about 400 full-time positions by the end of 2026. Unions object.
Studies through September 2026 find no economy-wide US job losses from AI. But young workers in exposed fields have lost ground. Employers cite AI for about a fifth of this year's announced cuts.
Clerical, customer service and coding-heavy jobs rank as most exposed to AI, while hands-on trades and care work rank lowest. Exposure measures what AI could do, not who loses a job.
This section covers how artificial intelligence is changing work:
It keeps apart three things that are often blurred: outcomes measured in employment data, forecasts of what could happen, and the reasons companies give when they cut staff.
The distinction matters because the evidence does not all point one way. The Yale Budget Lab's tracker was updated on September 15, 2026. It reports that the mix of US occupations is not yet shifting in a way that can be clearly linked to AI. A Stanford Digital Economy Lab study used payroll records through June 2026. It found that employment of workers aged 22 to 25 in AI-exposed occupations was 19% lower than if it had grown in line with peers in less-exposed occupations. The authors call that a descriptive pattern, not a causal estimate. Outplacement firm Challenger, Gray & Christmas counted 120,136 announced US job cuts that employers attributed to AI in the first nine months of 2026, about 21% of the total. That figure reflects stated reasons, not verified causes.
The main actors are employers deciding where to deploy AI, the agencies and researchers measuring the results, and schools adapting to the tools. Those measuring include the US Bureau of Labor Statistics, university labs and the International Labour Organization. Stanford's 2026 AI Index, published in April 2026, reported that four in five US high school and college students use AI for schoolwork. Public expectations are gloomier than the effects measured so far. In a June 2026 Pew Research Center survey, 71% of US adults said AI would lead to fewer jobs over the next 20 years.