Whenever a major technology transition changes how work happens, the people who figure out new ways of working capture disproportionate value.
When how manufacturing happens changed last century, Japan became a global leader, on the back of its innovation in production systems. The work of Deming, and of Taiichi Ohno at Toyota.
Knowledge work is at that same inflection point now, with AI. The companies that innovate on new ways of doing knowledge work will capture disproportionate value in the new economy.
I work on what that new way of working actually looks like, and help organizations build it.
1% University
A research and practice lab for AI-native organizations.
Most companies will run AI pilots. A small fraction will actually rebuild how their work happens. 1% University exists for that fraction.
- Research
- We study how AI-native work actually happens, alongside the companies doing it. What is working, what is not, and why.
- Publish
- We put the findings in the open, so the patterns spread faster than any one company could manage alone.
- Partner
- We work directly with companies to think it through and help them become AI-native, not just AI-equipped.
Writing
A program, not a feed. Read it in order.
- 01 AI adoption is a training problem before it is a technology problem
Most enterprise AI stalls not because the models are weak, but because the people around them were never trained to think differently.
- 02 Why I'm writing here
A home on the web that I own, for thinking out loud about AI adoption.