Instead of putting people out of work, AI is mostly helping them do their jobs, finds a new study from Anthropic, the maker of Claude, an AI model popular among software coders. Why it matters: The new edition of the Anthropic Economic Index lands amid a heated debate over whether AI will ultimately eliminate jobs or create new ones.
The big picture: The report offers a detailed examination of AI use, looking at an anonymized sample from 2 million real Claude conversations that took place last year on its free and pay-for services. Between the lines: Anthropic's own founder and CEO has warned that AI could wipe out half of all entry-level white-collar jobs and push unemployment as high as 10–20% within one to five years. Zoom in: AI is reshaping how people work, not if people work. How it works: Researchers used Claude to analyze transcripts of conversations along different dimensions — was it about work or for educational or personal purposes? By the numbers: The study found about a 50/50 split between augmentation and automation, with a slight edge to augmentation. Zoom out: The way AI changes your job depends a lot on what kind of work you do, and broadly speaking the differences can be grouped into two buckets. Friction point: The study finds that AI delivers the biggest productivity gains on complex work — the same work that most requires human oversight. What to watch: The need for humans is either a bottleneck that will slow down any productivity gains brought on by AI, or a force multiplier that will keep us all employed. Reality check: The tech is improving quickly and Anthropic also has an interest in portraying its technology as revolutionary, to draw users and investors. The bottom line: AI is changing the way we work, but the job apocalypse is not here yet. Editor's note: This story has been corrected to show the 49% of jobs using AI for a quarter of their tasks is up from 36% in early 2025 (not 3 months ago), as well as to show 52% (not 53%) of work on the Claude site (by both free and paying users) involved augmented tasks.