"Managers, get ready: You're about to lead a new team. But your new team isn't human - it's a team of AIs. And you'll be accountable for their work."
"Using AI well is no longer about picking the right app. It's about orchestrating a set of agents, each with unique strengths and weaknesses. Like any team, they can underperform when misaligned-or create unity when structured well."
"Research from Harvard's David Deming and colleagues shows a strong link between skill at coordinating AI agents and skill at leading human teams. The same leadership moves matter: asking clarifying questions, setting clear expectations, and learning through trial and error."
"Microsoft calls this the rise of the "agent boss," urging leaders to onboard AIs like new hires-compose your "teams" carefully, set clear expectations, monitor early outputs, and establish trust-but-verify routines."
Managers will need to lead teams composed of AI agents, assigning models to tasks, delegating effectively, and being accountable for AI outputs. AI use is expanding, with 36% of leaders expecting to manage AI systems within five years and executives predicting leader performance will include managing 'digital workers.' Effective AI team leadership requires orchestrating multiple agents with distinct strengths and limits, aligning them to goals, and monitoring early outputs. Familiar leadership practices apply: ask clarifying questions, set clear expectations, trial-and-error learning, define roles, provide performance feedback, and adopt trust-but-verify routines when onboarding AI agents. Leaders must compose teams carefully, monitor early outputs, and adjust assignments based on agent strengths and weaknesses.
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