Everyone’s talking about AI agents, copilots, and autonomous systems that can basically run workflows—but the real question is: who’s governing all this? In this video, I break down AI governance in 2026 and why it’s no longer “nice-to-have” ethics talk. Regulators in the US and EU now expect concrete programs—risk inventories, impact assessments, technical safeguards, monitoring, and documentation. I also cover how laws like the EU AI Act (risk-based classification + GPAI rules), state-level rules like Colorado’s AI Act and California’s transparency law, and even governance blueprints from India (like the Delhi Declaration) are forcing companies to operationalize governance end-to-end. Then I simplify what AI governance actually means: a framework of rules, processes, and accountability that delivers transparency, accountability, and compliance. Because AI doesn’t just assist anymore—it acts. That means bias, misinformation, and “no human understands why” decisions can scale at planetary speed, especially in healthcare, hiring, law enforcement, and critical infrastructure. I also walk through what enforcement looks like in practice in 2026—model transparency tools, regulatory sandboxes, risk audits, open weights with governance layers, and agents with built-in guardrails (like Anthropic’s constitutional approach). Finally, I share actionable steps for developers and companies, and a clear path to build a career in AI governance using frameworks like NIST AI RMF (govern, map, measure, manage).