AI is changing the fundamental makeup of RevOps teams - shrinking time spent on manual execution while increasing the need for technical practitioners, systems architects, and cross-functional translators. Instead of just “more headcount,” high-performing orgs are redesigning RevOps around automation, data products, and AI co-pilots, with clear lines between what humans own and what machines do best. You’ll learn how to: - Rebalance your RevOps team mix across admins, analysts, architects, and AI-focused technical practitioners - Identify which traditional roles and tasks are most likely to be automated, consolidated, or elevated into more strategic functions - Design a RevOps department that treats AI as core infrastructure - covering ownership, collaboration with GTM teams, and where new “AI Ops” responsibilities live