Anthropic Staff Expect AI to Handle Most of Their Work by 2030, Forecast Higher Unemployment

Anthropic's Oct. 16 research shows its employees expect AI to handle 75% of their work by 2030 versus 28% for U.S. workers. Staff forecast unemployment above 12% that year while the public sees it near 8%. Internal data already shows fewer junior technical hires and AI agents working six times the hours of humans.

Anthropic published research on Oct. 16 that compares views on artificial intelligence from its own employees with those of U.S. adults. The AI company surveyed 1,334 staff members and found they anticipate far greater automation of their tasks than the general public does.

Staff at the company expect AI to perform 75% of their current work by 2030. U.S. workers overall put that figure at 28%. The gap appears again when employees consider specific roles. Most Anthropic staff said AI will handle at least 80% of their jobs by 2030. Only about 5% of U.S. workers saw similar disruption in their own fields.

The median Anthropic employee expects AI to manage 95% of the work of building a new AI model by the end of 2030. That belief carries over to the broader economy. Anthropic staff forecast U.S. unemployment at more than 12% in 2030. The current rate stands at 4.2%. Most U.S. workers in the survey predicted it would stay around or under 8%.

Those who see AI taking on more of their own responsibilities tend to predict higher joblessness across the board. The pattern holds for both groups. Ten additional percentage points of work that respondents expect AI to handle correlates with 0.4 percentage points more forecasted unemployment among U.S. workers.

Anthropic also released an accompanying study on how its own workforce has shifted. The share of junior employees in technical departments fell from 21% in early 2025 to 14%. Among new technical hires, the junior share dropped from 27% to 9%. Job postings for those entry-level technical roles declined sharply after December 2025.

At the same time, AI agents have taken on more hours. In March 2026, autonomous and interactive agent work hours first exceeded human hours. By August, AI agent hours outnumbered employee hours by six to one. Managers have responded by adjusting hiring. Around a third of machine-learning managers and a fifth of software-engineering managers reported hiring less because of AI.

Productivity perceptions inside the company have risen. In late 2024, 44% of employees agreed that work processes made them as productive as possible. That rose to 58% by November 2025. Employees also described roles changing. Some moved from performing tasks to overseeing AI outputs.

The research, titled "The AI expectations gap," appears on Anthropic's site. A separate paper, "How employment is changing at Anthropic," details the internal hiring data and is available at anthropic.com.

Business Insider reported on the surveys and noted that researchers have so far found mixed evidence on AI's effect on jobs. A Yale team recently concluded that the technology had mainly changed tasks without any connection to unemployment shifts. The Oct. 16 publications from Anthropic add fresh internal data from a company at the front of AI adoption.

Anthropic said its experience could serve as an early indicator for wider labor trends. The company has set up systems to reallocate workers whose roles face immediate pressure to areas that may prove more durable.