There is something the AI conversation keeps skipping over.
We talk about the concept. We talk about the tech. We talk about the models, the agents, the launches, the demos, the framing slides at every keynote. There is no shortage of words. What is in short supply is the much quieter conversation about adoption. The actual practice of using these tools, in your work, every day, with intent.
Adoption is the part that matters.
I want to write about that.
The gap that keeps coming up
Walk into any conference room, any meetup, any LinkedIn thread on AI right now, and you will find people deep in concept. The strengths of one model over another. The arrival of agents. The ethics, the regulation, the risks, the philosophical question of what intelligence even means now.
All of that matters. None of it tells you what changed in your work this week.
When I get into one-to-one conversations with customers, or with some of the practitioners I meet, the topic moves to a narrower question. Are you actually using these tools? In what? How often? What have you stopped doing because the agent is doing it? What have you learned about the seams between the human and the agent?
The answers are usually quieter and more honest. That is the conversation I want more of. That is where the real adoption decisions get made, not in the keynote halls
