Skip to content
FQ AI Summit 2026

Build Reskilling Around a Job Task Someone Will Need

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

Accountability, Reskilling and Process Change

How can I tell whether an AI training program will help people do their work?

A training program helps people when you can say what a learner will be able to do and where they'll use it. The accountability panel drew a line between workforce preparation and adding another certificate, and that's the test I'd apply.

Panelists seated on stage under the session screen.
The accountability and transformation session. The Female Quotient AI Summit, Webster Hall, New York, November 10, 2026.

Start with a real task confirmed by the team that needs it, and describe the inputs, the expected result and the judgment the worker has to apply. "Understand AI" is too broad to assess. "Prepare a sourced comparison and identify what still needs checking" gives the training a visible outcome.

Practice should center on that task, using material that's appropriate for training. Let learners explain their choices, check an incorrect result and recover when the tool doesn't behave as expected.

Ask the receiving manager how the skill will be used afterward. People need access to the approved tool, time to practice and someone to ask for help, and a course can't supply those conditions by itself.

Assess the work itself, and follow up after people have had a chance to use the skill in context.

Keep any employment promise separate from the training offer. Teaching a useful task doesn't guarantee a role, and learners deserve a clear account of what the program does and doesn't provide.