The Real Risk in AI Isn’t Capability. It’s Lack of Control

Machine learning isn’t failing because of hype—it’s failing because control is lagging behind capability. As AI moves into real-world systems, the risks come from weak monitoring, poor oversight, and overtrust in powerful models. The next wave of winners won’t just build smarter models—they’ll build systems that are reliable, auditable, and trustworthy.