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Mandatory subject of bargaining

A topic an employer must, on request, negotiate with a union rather than change unilaterally, because it affects a term or condition of employment (for example, wages, work assignment, headcount, discipline, or workplace monitoring). Many material AI changes fall here, though whether a specific change qualifies is decided case by case (in the US, by the National Labor Relations Board and the courts).

Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Transformation Professional (CATP).

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Certified AI Transformation Professional (CATP)

A topic an employer must, on request, negotiate with a union rather than change unilaterally, because it affects a term or condition of employment (for example, wages, work assignment, headcount, discipline, or workplace monitoring). Many material AI changes fall here, though whether a specific change qualifies is decided case by case (in the US, by the National Labor Relations Board and the courts).

Certified AI Governance Professional (CAIGP)

In the US collective-bargaining system, a matter (such as terms and conditions of employment) over which an employer must bargain with the union representing the workers. AI that changes hiring, scheduling, monitoring, discipline, or pay can fall within this, which is how the union channel imposes an involvement duty in the absence of a works-council law.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Mandatory subject of bargaining starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Redesigns roles as AI absorbs tasks, plans reskilling instead of replacement, and supports managers in honest conversations about how work changes.

One lesson on this page teach it as a primary outcome.

Designs role-based AI training that measures skill, not attendance, with approved-use guidance, office hours and communities of practice.

One lesson on this page teach it as a primary outcome.

Knows the rules on automated employment decisions, bias audits and notices, and treats hiring AI as the highest-risk use case it is.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“workforce transition”“role redesign”“workforce planning”“future of work”“job design”“learning and development”

Where the frameworks place it: EU AI Act Article 4; DOL AI Literacy Framework; NYC Local Law 144; EEOC guidance.

One interview question about it

A team's work is changing because of AI. How do you redesign the roles so people move with the work rather than out of it?

Asked of candidates for workforce transition and role redesign. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.