AGI and superintelligence scenarios

Advanced AI economic transition and participation

This family covers conditional occupations that would support broad changes in work and in how resources are shared, if advanced AI arrives at scale. None of these jobs exist yet. AI companies still need to understand them early.

Founders are being asked what their systems mean for jobs and for who benefits. Regulators, investors and the public ask too. Nobody has a settled answer, and no one holds these titles today. The tricky part is that every role is a scenario. A strong hire will come from labour economics, social policy, worker representation or public administration. They must be comfortable with uncertainty and wary of overclaiming. Existing workforce transition professions already handle present changes, so keep the two apart.

Scenario 4

Roles in this family

4 roles

Where the people come from

Potential pathway: labour economics, social policy, worker representation or public administration

Not to be confused with. Existing labour economics and workforce transition professions already address present changes.

Core skills

  • Public policy and economics
  • Frontier scenario analysis
  • Institutional and international coordination
  • Worker and community participation

Where it is used

  • Government and public administration
  • Human resources and recruiting
  • Future superintelligent systems

Depends on a scenario

Large-scale restructuring of work and economic institutions

What AI would need to do
AI materially changes economically valuable task mixes across many sectors.
What organisations would need to decide
Institutions fund worker participation, distributional monitoring and transition programmes.
What would rule it out
Slow adoption or institutional inaction leaves these functions embedded in existing occupations.

We give no date. The role becomes real if both conditions hold.

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