Breaking the AI Adoption Barrier in the Field
Stop trying to replace the operator. Start augmenting them.
These are the companion notes. The full essay lives on The Turing Pilgrim, my Substack publication.
Why this matters
The pattern shows up everywhere in industrial AI: technical capability exists, demos work, and field adoption still stalls. That is usually not a product problem. It is a positioning and workflow-fit problem — the product is framed, implicitly or explicitly, as a replacement for the operator’s judgment.
Operators are the people on the hook when things break. Software that takes agency without taking accountability gets switched off. Software that makes the operator measurably better at a job they already own gets adopted.
What this essay takes up
- Why stalled field adoption is usually a trust and workflow-fit problem, not a capability gap.
- The difference between replacing an operator’s judgment and augmenting it — and why only one of those ships.
- What it takes to position AI so the people accountable for outcomes want it in their workflow.
Who should read it
Teams whose AI product demos well and deploys badly — and the executives wondering why. Read the full essay for the complete argument.
Related field notes
When AI Learns Physics…
Most industrial AI can notice patterns but cannot explain the physical story underneath them. Physics-informed neural networks change what the field can ask of a model.
June 11, 2026The Small Business AI Opportunity Is Hiding in Plain Sight
Small businesses are not short on ideas. They are short on capacity. AI works when it acts as a support layer around the owner — not as a replacement for their judgment.
May 22, 2026Why industrial AI needs its own org chart
IT is built for support. Operations is built for survival. Neither is structured to make AI work in the field — which is why industrial AI needs its own accountable operating model.
Working through this decision?
A short note on the AI bet you are weighing is enough to start. I usually reply within one business day.