AI Adoption Changes What People Do at Every Company

AI adoption is changing what people do at work. The change hits different companies differently. It hits different people within the same company differently. With the digital transformation efforts of the pre-AI era, people have captured range of emotions employees felt in companies of various sizes.

The Model Is the Most Replaceable Part of the Stack

The AI stack has three layers. Everyone is saying that the layer that the user touches is the one that matters most. And, I agree with that.

At the bottom are foundation models and the infrastructure that runs them: GPUs, data centers, token pricing, and cloud compute. This layer is advancing fast. In the middle is the application layer. It sits between raw model capability and the end user. It handles workflows, evals, data access, permissions, and change management. At the top are the applications themselves. Users touch and pay for these. Value flows through all three layers. But the layer closest to the user determines what that value is worth. That layer is the application and the experience it delivers.

Thinking about AI? Start With the Problem.

By now, you have read/heard about all the wonders that AI can do for your business. If you run a business with 10 people or 200 people, you have heard the noise. Chat bots, AI agents. Copilots. The future of work. Most of it sounds like it was written for someone in Silicon Valley. It does not sound like it was written for someone running a shop, a fleet, a practice, or a services company.

Metrics, Insights, and AI: A Decade of Data Transformation

All the hoopla about AI breakthroughs

Did a new digital space race start with DeepSeek’s AI Breakthrough?