Companies face growing AI risk as complexity jumps from narrow to multi-agentic
The shift from simple AI to generative, then to agentic and multi-agentic models is ramping up risk fast. Existing AI risk programs—covering ethics and cybersecurity—aren’t enough anymore. Companies must evolve their strategies to keep pace without tanking their brands or harming people.
The key? Honest self-assessment. Firms need to figure out where they stand on the AI complexity curve. Then build the capabilities and infrastructure for their current stage while preparing to safely move forward. 
That means investing in employee training, stronger monitoring systems, and solid intervention plans—before a crisis hits. It’s tough, but the payoff is safer, broader deployment of game-changing AI tech.
Harvard Business Review highlights the need for staged readiness rather than trying to fix everything at once.
