The One Decision That Determines Whether Your AI Project Succeeds
Build, buy, or wait? Most AI projects fail because teams pick technology before understanding the problem. Here's a framework for getting it right.
Decision Velocity
High-trust organizations decide in 3 days. Low-trust ones take 4 weeks. Like F1 pit stops, consistency and speed determine who wins markets.
Utah Badlands
Where ancient volcanic ash meets the last light of day. A landscape so alien, NASA uses it to test Mars rovers.
The Rituals of AI Adoption
Organizations spend $109 billion on AI adoption while 74% can't demonstrate value. Why the rituals matter to some more than the results do.
Nobody's There
An automated lighthouse on the Oregon coast taught me something about automation, human judgment, and the work that still matters most.
The AI Confidence Crisis
Most organizations have adopted AI but few have genuine confidence in their approach. The gap between performing certainty and building capability widens.
The Agent Hype Will Hit the Same Wall as RPA
Jensen Huang and Marc Benioff say AI agents will transform work overnight. The same promises were made about RPA in 2018 and then 50% of implementations failed.
Looking Back
I put in the work. It just didn't always lead where I thought it would.
The Boring Strategy
While competitors debug their latest tech stack, you are serving customers. Sometimes the most strategic decision is choosing boring technology.
The Quiet Work
Leaders spend their lives extracting value from everything. But some things aren't meant to be useful; they're meant to be experienced.
Decoding AI's $109 Billion Investment Boom
Companies poured $109B into AI in 2024, yet productivity stats haven't moved. Is this an infrastructure build-out or a sophisticated bubble?
The AI Productivity Lie
New research reveals experienced developers are 19% slower with AI tools, exposing the hidden process problems that actually control development speed.
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