Are AI agents are going to have an adoption problem before they have a capability problem?

We spend a ton of time talking about what an agent can do. Tool use. Memory. Planning. Multi-agent setups. Better models. But in a real company none of that matters if people stop using the thing after two weeks. I work around sales teams where this problem is pretty obvious. You can give a manager AI that analyzes customer conversations and points out where reps lose deals. Sounds useful but if recording the conversation is annoying or reps feel like the tool exists to police them then your fancy agent has no data to work with. Interesting part is that making the AI better doesn't really solve that. You have to make the human side work first. The action that feeds the system needs almost zero friction. The person using it needs to get something useful back. There has to be a reason to come back without a manager forcing it. The AI matters but the habit around it matters just as much. Feels like a lot of agent startups are measuring the wrong thing. Maybe the useful benchmark isn't "how many tasks can this agent complete?" Maybe it's "how many people are still using it 90 days later without being chased?"