Tech Leaders Identify 3 Worker Types to Thrive in AI Agent Era
Updated
Updated · ZDNet · Jul 24
Tech Leaders Identify 3 Worker Types to Thrive in AI Agent Era
3 articles · Updated · ZDNet · Jul 24
Summary
Three professional profiles emerged as most valuable in an AI-agent workplace: tech-savvy enablers, course-correctors who supervise agents, and collaborators focused on business outcomes.
1,000-plus EDF UK users already rely on a data team that structures context for agents, showing why engineers are still needed to build, tune and connect AI systems to company data and workflows.
20 to 30 years of domain expertise still matters because agents need human oversight to catch inaccuracies, handle friction and provide final sign-off in regulated or complex operations.
Tech leaders said companies will get more value by defining outcomes first and rolling out agents gradually, rather than automating existing siloed processes and scaling tools before they are reliable.