Anthropic Study Finds Robots Capable of Most Physical Tasks but Cost-Effective for Few

Anthropic's Sept. 30 study finds robots can perform 74% of physical U.S. job tasks, or 34% of working hours, but are cheaper than humans for just 0.3% of work. Adding robots to AI raises exposure for hands-on jobs like cleaning and maintenance, though cost and dexterity remain major barriers.

Anthropic published research on Sept. 30 measuring how well today's robots can handle U.S. job tasks. Robots can already perform 74% of physical tasks, which make up 34% of working hours, according to the study. But they are cheaper than human labor for just 0.3% of work.

The findings come from a new robot exposure index built by Anthropic researchers Russell Legate-Yang and Maxim Massenkoff. Anthropic defines robots as autonomous physical machines that sense and act, and it used Claude to rate how well current robots perform each task. The scale runs from tasks no robot can do today to tasks robots already perform in unstructured environments such as city roads. Most of that capability is confined to controlled settings: robots do only 2% of physical tasks in unstructured environments, mostly driving.

Counting robots changes the picture from Anthropic's earlier AI-only work. Around half of all work is exposed to large language models alone, and that rises to 81% when robots are added. In transportation and moving, less than 15% of tasks are exposed to LLMs, compared with about 90% once robots are included.

Hands-On Jobs Get a Second Look

Business Insider's Alistair Barr revisited the gardener question in an Oct. 17 column. He recalled that Anthropic's earlier jobs report suggested gardeners were among the safest workers "because AI couldn't pull weeds or tell a rose from a dandelion." In Anthropic's new chart, cleaning and maintenance, the group that includes gardeners and janitors, sees much higher exposure once robots are counted.

Barr isn't convinced. "On paper, it makes sense. In practice, I'm skeptical," he wrote, pointing to how hard it is to identify the right plant and pull a weed out by the roots. The study has its own caveats here: cleaning is hard to standardize, and robot cleaners are often slower than humans and still several times more expensive.

Exposure does not equal job loss. Cost is the most common barrier in Anthropic's estimates. Robots are cost-competitive today for roughly 300,000 workers. Robot prices have fallen about 3% a year since the 1990s, and at that pace it would take around 40 years for robots to become cost-competitive for 10% of work. After cost, the main barrier is capability, such as the dexterity needed to untangle wires; half of physical tasks wouldn't be automated at scale unless robots get better at handling objects.

Workers most exposed to robots are more likely to be male, less educated and lower paid. In the top fifth of the index, they earn about $23 an hour on average, versus nearly $53 for workers with no exposure, and about 61% frequently lift or carry weight. Taxi drivers top the exposure list, followed by agricultural equipment operators and light truck drivers.

The study backtests its approach against history. From 1977 on, jobs more exposed to existing robots saw larger declines in wages and employment in later decades. Robots have also kept picking up new work: each year, they became able to do about 2% of the physical tasks they previously couldn't.

The authors say AI-powered robots could leapfrog the scale, for example by learning to climb ladders or use their grippers more deftly. Other limits would remain. Anthropic estimates current regulations would bar robots from 14% of physical tasks, and human preferences hold them back on about a quarter.

For now, the report says, efforts to track AI's impact could watch drivers and warehouse packers for early signs of disruption. Packers are the largest occupation already exposed to cost-competitive robots, and their employment has fallen 22% since 2015.