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FQ AI Summit 2026

Whether Everyone Has to Use AI Depends on the Work and Policy

My notes from attending the FQ AI Summit in New York, November 10, 2026.

Culture, Rollouts and Learning at Work

Should everyone have to use AI for the same task?

It depends on the work requirement and your organization's actual policy. Say whether the tool is required, recommended or optional for the task, and why. If it's optional, judge the result against the same standard whatever method someone used.

A culture of learning can turn into a culture of pressure when people feel they have to use a tool to prove they're keeping up. So say who can authorize an exception, and watch for mixed messages, where an enthusiastic announcement says one thing and informal performance expectations say another.

Same standard for every method

If methods are optional, ask about the quality of the work and how people collaborated, since the tool choice itself isn't the outcome. A required method calls for training and accessible support. People also need a way to raise a legitimate difficulty. Involve the responsible HR or accessibility owners where appropriate.

Teams can learn from different approaches without turning it into a contest between modern and old fashioned colleagues. The job has real constraints, and the goal is reliable work from capable people, with no performance of enthusiasm required.