A research team studying its own AI model-building process reviewed 769 task logs and found that AI agents could account for as much as 55% of method proposals, while more than 85% of final decisions were still made by humans. The study also said roughly one-third of tasks would not have been attempted at all without AI support. The authors cautioned against reading higher agent activity as evidence of stronger autonomy. According to the findings cited by The Decoder, the increase in AI agent participation did not translate into a comparable shift in decision-making authority. Instead, humans remained firmly in control of final calls even as agents contributed a large share of suggestions during the workflow.
A research team analyzing its own AI model-building process reviewed 769 task logs and found that AI agents were able to contribute as much as 55% of method proposals, while more than 85% of final decisions were still made by humans.
The study also found that about one-third of tasks would not have been attempted without AI. The authors warned that a rise in AI agent activity should not be taken as a sign that the agents have become more autonomous, according to The Decoder.
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