Peru labor ministry launches AI impact commission on jobs

Peru’s MTPE commission is a useful example of how middle-income countries are starting to build institutional muscle around AI before mass automation hits. Rather than focusing only on headline job loss numbers, the mandate explicitly includes mapping where AI, automation and robotics are entering production chains, what new skills are needed, and how to align training and labor protections. That is a more granular approach than many early AI policy efforts, which often stop at high-level principles.

From a race-to-AGI perspective, this kind of governance work will not change the trajectory of model capabilities at the big labs, but it will shape how quickly and where those capabilities diffuse into real economies. A structured inventory of AI deployment, coupled with social dialogue between unions, employers and the state, can smooth the transition in sectors that are highly exposed to automation. It also creates a channel for surfacing concrete failure modes, such as biased automated decision systems in HR, back to regulators.

Peru’s move may also serve as a template for other Latin American governments that face similar concerns about informality, regional inequality and limited fiscal space. If commissions like this one can turn qualitative fears about AI into hard data and specific policy proposals, they will be better positioned to negotiate with global tech vendors and to demand transparency from employers deploying AI at scale.