AI agents are moving from experimental tools to core enterprise teammates, with adoption expected to rise by up to 300% over the next two years. That shift is forcing executives to rethink what leadership looks like when work is shared between people and autonomous systems. Unlike traditional automation, which typically depends on human prompts or fixed workflows, AI agents can plan, coordinate, and execute complex tasks across multiple tools, platforms, and business environments. For companies, the opportunity is significant: faster operations, smarter decision-making, and more scalable productivity. But the risks are equally real, from unclear accountability to trust, governance, and workforce readiness. Leaders will need to define new operating models, redesign roles, and build cultures where human judgment and AI-driven execution complement each other. The next competitive advantage may belong not simply to companies that adopt AI agents fastest, but to those that learn how to lead hybrid human-AI teams well.