Key findings
- Clerical support workers score 8.5/10 - 1,015,100 workers in Lima's formal offices, financial services, and administrative roles face the highest near-term AI exposure
- 1.6 million professionals at 6.5/10 - lawyers, accountants, engineers, and healthcare professionals face substantial AI augmentation across Peru's formal sector
- 70% informal employment is the dominant story - Peru's informal rate is among the highest in Latin America, compressing the aggregate AI exposure score to 3.55/10
- Elementary occupations are the largest group at 30.3% - 5.4 million workers in subsistence roles score 2.0/10, anchoring Peru's aggregate at a low baseline
The most AI-exposed occupations in Peru
Peru's formal economy is heavily concentrated in Lima, which accounts for roughly 40% of national GDP. Within Lima's office districts - Miraflores, San Isidro, and the financial district along Avenida Javier Prado - clerical and professional workers face AI exposure levels comparable to workers in far wealthier economies. The occupation data reflects this reality at the national level.
Clerical support workers score 8.5/10 across 1,015,100 workers. Document processing, data entry, customer service operations, and administrative coordination are the tasks within this group that AI language models and automation platforms now perform at scale. Peru's growing fintech sector and banking industry have both begun deploying AI tools that directly substitute for junior clerical functions.
| Occupation group (ISCO-08) | AI score | Workers | Share |
|---|---|---|---|
| Clerical support workers | 8.5/10 | 1,015.1K | 5.69% |
| Professionals | 6.5/10 | 1,563.3K | 8.77% |
| Managers | 5.5/10 | 119.6K | 0.67% |
| Technicians and associate professionals | 5.5/10 | 1,283.9K | 7.20% |
| Service and sales workers | 3.5/10 | 3,155.9K | 17.69% |
Why informality changes everything
Peru's 70% informal employment rate (ILO ILOSTAT 2025) is the defining feature of its AI risk profile. Informal employment in Peru includes subsistence farmers in the Andes and Amazon regions, street traders in Lima's Mercado Central, domestic workers, and informal construction labourers across urban peripheries. These workers are not processing digital documents, answering calls on enterprise phone systems, or operating within the software workflows where AI automation first deploys.
The contrast with Peru's formal economy could not be sharper. A bank clerk in Miraflores working on document digitisation faces 8.5/10 AI exposure. A subsistence farmer in Puno growing potatoes at 3,800 metres elevation scores 3.0/10. These workers are counted in the same national dataset, and the aggregation compresses what would otherwise be a high-exposure formal sector into a moderate national average.
"Peru's 70% informality rate is the highest buffer against aggregate AI disruption in Latin America's mid-tier economies - but it is a buffer that erodes as formalisation increases."
The safest jobs from AI in Peru
Peru's least AI-exposed workers are found in elementary occupations, skilled agriculture, and craft trades - together accounting for over 9.1 million workers and overwhelmingly informal in employment status.
| Occupation group (ISCO-08) | AI score | Workers | Share |
|---|---|---|---|
| Elementary occupations | 2.0/10 | 5,406.5K | 30.31% |
| Craft and related trades workers | 2.5/10 | 1,659.7K | 9.31% |
| Armed forces occupations | 2.5/10 | 118.7K | 0.67% |
| Skilled agricultural workers | 3.0/10 | 2,055.0K | 11.52% |
| Plant and machine operators | 3.0/10 | 1,458.5K | 8.18% |
Peru's skilled agricultural workforce - 2,055,000 workers in the Andean highlands, Amazon lowlands, and coastal export agriculture regions - scores 3.0/10. Peru has become a major exporter of asparagus, blueberries, avocados, and grapes. The physical harvesting, planting, and crop management these workers perform is not AI-substitutable within any realistic near-term timeframe. Robotics risk in agriculture is real but timeline-constrained in Peru's small-plot, mountainous agricultural geography.
What this means for workers
For Peru's formal sector workers - the clerical staff, junior accountants, customer service representatives, and data processors concentrated in Lima - AI tools are already changing daily work. Peru's banking sector has deployed AI customer service tools, and several large Peruvian corporations use automated document processing. The timeline for material displacement in Peru's formal clerical sector is 3 to 7 years.
For the 70% in informal roles, the relevant risk is not direct substitution but whether economic formalisation - a persistent goal of successive Peruvian governments - brings these workers into the AI exposure zone before there is adequate support infrastructure to help them adapt. Peru's high recovery resilience score (7.4/10 in the WorldJobsData model) reflects a relatively young, adaptable population with improving educational access. But adaptation requires investment in technical training that Peru's public sector has historically underdelivered.
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