The Woodshop-to-Factory Transition: Why Stage 3 Is Not a Small Step Moving from AI-assisted tools to autonomous agents replaces the operating environment, the way the factory replaced the woodshop. The infrastructure comes first.
Stacking Errors: The Compounding Math Behind AI Governance A 10-step agent pipeline at 95% per-step accuracy completes correctly about 60% of the time. Errors multiply, and quality gates are how reliability comes back.
Your First AI Win Should Take 30 Minutes The fastest way to find out whether AI helps you is a 30-minute experiment on the task you hate most. A list, a test, and a reason to share the result.
Lies, Lies, and Statistics: The Five Ways AI Gets Things Wrong Hallucination is one of five ways AI output misleads. Commission, omission, perspective, bias, and frame of reference each require a different defense.
The 2x2 AI Impact Matrix: What to Do Based on Where You Are Two questions decide what to do about AI for any role: how much time does AI actually compress, and is demand or execution the constraint? The four combinations produce four different prescriptions, and applying the wrong one is expensive.
Two Ways AI Changes Your Job: Demand-Limited vs. Collapsable Tasks Jobs are bundles of tasks, and AI hits the bundle unevenly. Demand-limited tasks call for role evolution and collapsable tasks call for role redefinition. Confusing the two is a reliable path to the wrong investment.
Corporate Currency: The Hidden Social Economy of Organizations Every organization runs an unwritten social economy where attention is priced and trust is the reserve asset. Corporate Currency is the operator's manual: three ways to earn, two ways to spend, and one mistake that costs more than all the rest.
Seventy Years of Technology Hype: What Failed Predictions Tell Us About the AI Economic Boom Tech hype cycles repeat: past predictions of a "paperless office" or "end of work" fell flat, and today's AI forecasts likely face similar challenges. Learn what history can teach us about tempering expectations for the AI economic boom.
The Meter Picks the Winners Model selection, problem selection, and the economics underneath them are going to pick the winners and losers of the agentic era. The meter is just the scorekeeper.
The 8-Stage AI Trust Evolution: A Map for the Journey AI adoption is a journey through eight discrete stages of trust, from practitioner to strategist. Each transition demands different infrastructure, and the hardest one, Stage 2 to Stage 3, requires building the factory before running the agents.
