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Organizations continue to explore how AI—and especially AI agents—can redefine teams, with AI serving as a “teammate” rather than simply a tool. At the same time, aging workforces and declining labor participation are shrinking talent pools, creating urgency for HR leaders to rethink how people and machines collaborate. Deloitte projects that by 2027, 50% of firms currently using generative AI will have at least piloted agentic AI, which could boost productivity but also raises questions about how to optimize human and machine teams. Based on a survey of 11,000 workers across 17 countries, Deloitte highlights four opportunities for integrating AI and human capital. One in particular—human oversight still matters, but AI wins on speed—examines how organizations can determine which tasks are best delegated to AI and which require deliberate oversight. Deloitte suggests shifting from keeping humans “in the loop” to “on the loop,” treating AI like a junior team member that can be monitored, guided, and corrected. This approach enables organizations to capture efficiency gains without compromising accountability, quality, or trust. To help organizations explore AI’s impact on specific tasks and processes, I am re-sharing my one-page template as a starting point. While not a scalable solution, it can spark conversations on which tasks are best performed by AI, which by humans, and which through collaboration between both.
