Anthropic research says robots can do about three quarters of US physical job tasks but are cheaper than people for just 0.3%
Robots can already do about 3/4 of physical job tasks in the US, per Anthropic. But they're cheaper than a human for just 0.3% of them. At the historical rate robots get cheaper, it would take about 40 years for that to reach 10%. Even in the fastest scenario, robots don't become cheaper than people for half of physical work until 2050.
Context
The study separates what robots can technically do from what is economical, suggesting physical automation will arrive much more slowly than headline capability numbers imply.
This is a secondhand post by unusual_whales, an aggregator account, and the study it summarizes is not new: Anthropic published What work can robots do? on September 30, 2026, two weeks before this post. The report is by Anthropic economists Russell Legate Yang and Maxim Massenkoff, who used Claude to rate how well present day robots can perform 7,594 physical job tasks. Anthropic's own X account was not found posting it; Legate Yang announced it in a thread on September 30.
Deep dive
On October 14, unusual_whales posted that robots can already do about three quarters of physical job tasks in the US, per Anthropic, but are cheaper than a human for just 0.3% of them.
Those figures match Anthropic's report. It finds robots can perform 74% of physical tasks in some setting, making up 34% of US working hours, but mostly in controlled environments such as factories. It rates tasks on four tiers, from no robot can do it to a robot can do it in an unstructured place like a city road, and finds only 2% of physical tasks are done by robots in unstructured settings. Together, robots and LLMs expose about 80% of job tasks by working time, according to the report.
On cost, the report estimates the full annual cost for robots to match a worker's output and compares it with pay. Robots are cost competitive for 0.3% of work. With robot prices falling about 3% a year, as they have since the 1990s, the authors estimate it would take around 40 years to reach 10%. Packers and packagers are the largest occupation where robots already cost less, at about $45,000 a year against about $49,000 in pay.
The post's last claim also matches: in the report's fast adoption scenario, robots become cost competitive for half of physical work by 2050, versus 2085 at past rates.
In his thread, Legate Yang wrote that robots extend AI exposure far beyond digital work. The authors note their estimates rely heavily on Claude's judgments and are not forecasts of job losses.
What to expect next
Watch whether Anthropic updates the robot exposure index as it suggests, which would show how fast robots are gaining capabilities in less controlled settings.
Also watch the occupations the report flags as most exposed, such as drivers and warehouse packers, for early signs of disruption, and whether falling humanoid robot costs move the 40 year estimate meaningfully closer, as the authors say new manufacturing could.