Researchers have proposed a new measure to assess how much workers delegate tasks to AI. They analyzed data from 53,000 agent configurations and found that occupations where delegation is common differ from those previously identified as being at risk of automation. The study suggests that the adoption of AI is not solely determined by technical availability, but also by factors such as feasibility and professional discretion. --- Why it matters: This research matters to engineers because it provides a more nuanced understanding of how workers interact with AI systems, which can inform the design of more effective and user-friendly AI tools. By distinguishing between tasks that are amenable to automation and those that require human judgment, researchers can develop more targeted solutions for improving AI adoption. Source: https://arxiv.org/abs/2608.20425