Survey: Workers Reluctant to Manage AI Agents

A series of explainers outlines core AI concepts—AI, machine learning, deep learning, neural networks, NLP, datasets and common training problems—to make the technology accessible. Authors emphasize that modern AI agents are goal-driven systems that plan, call tools (calendars, spreadsheets, web/APIs) and execute multi-step tasks rather than acting as simple chatbots. A new EY survey finds workers “nervously enthusiastic”: 64% say they are overwhelmed by new tools, 63% of non-managers are reluctant to oversee human–agent teams, and 88% of managers say agents still require human oversight, highlighting urgent managerial and governance questions. Lawyers warn that already-complex professional rules confuse clients and that AI’s rise will complicate ethical duties and client communication. Market analysts are also watching incumbents such as Intel—praising leadership and government backing but noting a less-visible AI strategy compared with peers, prompting some investors to consider alternatives.