Ranking 101 AI agent tasks: where trust breaks down and why
a survey of 300 tech experts ranks 101 tasks by agent confidence, revealing high trust for data workflows but gaps in business context.
mit technology review surveyed 300 global technology experts to rank confidence in ai agents across 101 specific tasks in ai, data, and cloud workflows. findings indicate strong confidence for generating reports or monitoring data quality, yet a significant drop in trust for tasks requiring complex reasoning due to a lack of business context and data integration challenges. this gap highlights that while it infrastructure costs are projected to triple by 2030, reliable agent deployment depends on improving context-generation and governance. experts predict confidence will accelerate as agents are designed to operate within existing operational boundaries and identity systems.