Leadership, Organizations & Risk

The gig economy monetized hours through platforms. The AI passive economy monetizes assets and automation, but may reproduce the same concentration and volatility.

AI agents are becoming assets, but content saturation, platform dependence, regulation, and ownership will decide who captures the passive economy’s value.

Introduction Organizations are adopting AI at a pace that is genuinely remarkable. In 2023, roughly 30% of employees reported using AI in some professional capacity. By 2025, that number had climbed to 76%. This is not incremental change. It is a rapid, widespread shift in how large numbers of people do their work. But here's the number that deserves as much attention: only 1 in 50 AI investments delivers transformational organizational value. Only 1 in 5 delivers any measura

Introduction Leadership has always been about making decisions under uncertainty with incomplete information. That hasn't changed. What's changing is the nature of the support systems around those decisions — and the new accountability questions they create. According to McKinsey's 2026 State of Organizations report, AI has shifted from isolated tools to platforms sitting "at the center of workflows, decisions, and customer journeys." It's no longer optional infrastructure. I

Introduction The NIST AI Risk Management Framework exists to fix a specific problem: the people who understand AI technology can't always explain the risk, and the people who understand the risk don't always understand the technology. Released in January 2023, the AI RMF is a governance framework — a structured way for organizations to think about, talk about, and act on AI risks. The Four Functions GOVERN is the foundation — structures, policies, roles, and culture. MAP iden