Tokens are not the bottleneck. Humans are.
Tokens are not the bottleneck. Humans are. What happens to "AI adoption" when nobody has to ask?
Most companies treat AI like a new UI layer. Someone types a prompt, gets an answer, maybe pastes it into a deck. Usage rises, but it rises at the pace of meetings and approvals.
So the real constraint is not compute. It is the number of human moments available to request work, review it, and take responsibility for it.
Agents remove that constraint.
When a workflow in Salesforce triggers a sequence that drafts outreach, updates the pipeline, and schedules follow-ups, tokens become background noise. The limiting factor becomes how often the business produces signals worth acting on, and how safe it is to act without supervision.
That is why the curve changes. Not because "exponentially exponential" is a law of nature, but because the gate moves from human prompting to system-to-system execution.
The surprise is where cost shows up next. Not on the OpenAI invoice, but in silent errors, cascading actions, and the moment Microsoft or ServiceNow automates something your process used to catch by friction.
You will see teams celebrate higher throughput, then get uneasy when they cannot explain why a decision happened.
The uncomfortable question is who is accountable when the fastest worker is no longer a person.