Agents propose, but humans still make over 85% of the calls

A team including Fudan University researchers analyzed 769 task logs from its own AI model project. Per The Decoder, humans made 85.5 percent of decisions about methods and parameters, while AI made 9.2 percent.

The dominant pattern was "AI proposes, human selects": AI supplied 55.4 percent of method proposals, but humans made the final call on goals and scope in 93.4 percent of cases. Of 455 completed AI-assisted tasks, 151 — about a third — were rated by participants as infeasible without AI.

Over four weeks, the median number of agent actions per human input rose from 11 to 28.5. The team cautions this reflects more execution per decision, not growing agent autonomy. The data come from the team's own project and feasibility was self-rated, so the findings should not be generalized lightly.