Trust Is Not an Instruction
A framework for redesigning human-AI trust from behavioral compliance to structural controls -- and why the difference determines whether AI deployments remain safe at scale
The way we work is evolving
Exploring how AI reshapes jobs, skills, and what it means to work.
The System Is the Product
A framework for understanding why improving outcomes requires improving the system that generates them, and why AI makes system design the dominant factor in performance
The Anxiety of Infinite Capacity
AI removed the execution bottleneck. What rushed in was not a golden age of productivity but a quiet, persistent anxiety the old constraint had been holding at bay.
The Brand Crisis: When AI Decides What You Buy
AI agents are redirecting trillions in consumer spend. Brand equity built in human minds does not automatically transfer to the algorithm making purchase decisions.
Faster Execution, Worse Decisions
AI eliminates execution as the organizational bottleneck. Decision architecture was not redesigned for it. The result is organizations moving faster in directions nobody validated.
The SaaS Collapse
A framework for understanding which SaaS products survive AI platform commoditization and why domain knowledge is the only durable moat
No Meeting Required: How AI Broke Antitrust Without Breaking the Law
AI pricing algorithms achieve outcomes indistinguishable from collusion — without any agreement between competitors. The law wasn't built for this.
The Phase Collapse: Why Project Management Is About to Look Very Different
AI is compressing the cognitive scaffolding of project management. The phases that remain are the ones that serve physics, politics, and accountability — not information processing.
How Many Tokens Come With My Job?
AI access is following the same arc as mobile phones, laptops, and internet. The companies that understand this are hiring from the companies that don't.
The Human API: Why AI's Next Bottleneck Is You
AI is running out of human-generated data. The stock of high-quality public text will be exhausted by 2032. The machines need us more than we think.