Executive Summary Somewhere inside your organization right now, an AI agent is probably doing something nobody explicitly asked it to do in that exact way. Approving a small vendor payment, maybe. Drafting a compliance filing. Or talking to another company's AI agent, with neither human on either side actually watching that exchange happen. Welcome to agentic AI, and to the reason "AI governance" quietly stopped meaning "who fact-checks the chatbot" and started meaning someth

AI governance expectations, regulatory priorities and technology risks continue to evolve. Organizations should assess their specific circumstances and applicable legal and regulatory requirements.

Executive Summary There's a specific kind of governance gap that doesn't show up until someone actually asks the awkward question out loud: not "does your board discuss AI," but "if your AI-powered dashboard flagged something dangerous right now, is there a written policy telling anyone what happens next?" A lot of boards, when they actually sit with that question, don't love their own answer. I covered the AI expertise gap in a companion piece already, the fact that a striki

Executive Summary For two decades, the internet sold us one simple promise: build a product once, and ship it everywhere. Borders were for passports and shipping containers, not software. That promise is quietly falling apart. In 2026, governments have started treating artificial intelligence as strategic territory — something to protect, fence and fight over. The result is what lawyers politely call geopolitical fragmentation: a world where the same AI product needs differen