Key findings

  • Clerical support workers score 8.5/10 on AI exposure - Bolivia's highest-risk group. Around 221,000 workers in data entry, administrative coordination, and office roles across La Paz, Cochabamba, and Santa Cruz face growing pressure from administrative AI tools.
  • Professionals score 6.5/10, covering 484,000 Bolivian doctors, lawyers, engineers, and accountants - 7.1% of the workforce. Bolivia's expanding professional class, driven by increased tertiary education, faces AI augmentation in legal, financial, and diagnostic work.
  • Skilled agricultural workers score just 3.0/10 on AI exposure, covering 1.53 million workers - 22.5% of Bolivian employment. Bolivia's diverse agro-ecological zones (altiplano, valleys, and lowlands) support highly varied agricultural labour that AI cannot readily automate.
  • Craft and related trades workers score 2.5/10, covering 1.3 million workers - 19% of employment. Bolivia's large informal artisanal sector, including textiles, food processing, and construction trades, remains substantially AI-resilient.
  • Bolivia's weighted average AI exposure of 3.57/10 reflects the dominance of informal and agricultural labour that keeps the formal AI-exposed sector proportionally small.

6.82 million workers, ILO ILOSTAT data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on INE Bolivia's Encuesta de Hogares (Household Survey). Classification follows ISCO-08 major group structure across Bolivia's 6.82 million employed workers. Bolivia does not have detailed wage data in the ILO dataset for most occupation groups, reflecting the large informal economy where wages are not systematically tracked. The formal sector - where wage data exists and AI adoption is most relevant - represents a minority of total Bolivian employment, concentrated in La Paz (government and services), Santa Cruz (agribusiness and hydrocarbons), and Cochabamba (manufacturing and trade).

Bolivia's informal economy is estimated to account for approximately 60-70% of employment by some measures, meaning a large share of the 6.82 million workers operate outside formal employment relationships. This has two important implications for AI risk: first, AI adoption is primarily a formal-sector phenomenon in the near term, so the effective AI-exposed workforce is smaller than the raw occupation data suggests. Second, workers in the informal economy have fewer institutional protections if AI displacement does occur in sectors where they work informally alongside formal workers.

6.82M
Total workers tracked
3.57/10
Weighted avg AI exposure
221k
High-risk clerical workers

The most AI-exposed jobs in Bolivia

Clerical support workers score 8.5/10 on AI exposure - the same peak score observed across all economies we analyse. Around 221,000 Bolivian workers perform data entry, document processing, scheduling, and administrative coordination in formal-sector organisations. These roles are concentrated in La Paz's government ministries and financial institutions (Banco de Bolivia, BancoSol, BISA), in Cochabamba's commercial sector, and in Santa Cruz's agribusiness and energy companies.

The pace of AI adoption in Bolivian businesses is slower than in Chile, Colombia, or Peru due to lower digital infrastructure penetration and cost constraints. However, the adoption gap is closing: Bolivia's digital economy strategy and expanding 4G coverage (now reaching over 70% of the population) are enabling cloud-based administrative software to reach smaller Bolivian businesses. When adoption accelerates, the 221,000 clerical workers face the same task displacement pressure as their counterparts in more developed Latin American economies.

Professionals at 6.5/10 cover 484,000 workers - the largest high-exposure group in Bolivia by headcount. Bolivia's professional class includes a growing number of lawyers, accountants, civil engineers, and doctors who use digital tools in their work. AI applications in legal document review, financial analysis, structural engineering calculations, and medical diagnostics are reaching Bolivian professionals through international software platforms. The effect is primarily augmentation now - AI tools making professionals more productive - but the longer-run competitive pressure on entry-level professional work is real.

Occupation Group (ISCO-08) AI Score Robotics Risk Workers % of Total
Clerical support workers (4)8.5/102.5/10221k3.2%
Professionals (2)6.5/101.5/10484k7.1%
Managers (1)5.5/101.5/10114k1.7%
Technicians and assoc. professionals (3)5.5/103.5/10418k6.1%
Service and sales workers (5)3.5/104.5/101,606k23.5%
Skilled agricultural workers (6)3.0/106.5/101,534k22.5%
Plant and machine operators (8)3.0/107.5/10604k8.9%
Craft and related trades workers (7)2.5/104.5/101,299k19.0%
Elementary occupations (9)2.0/105.5/10537k7.9%

Bolivia's informal economy - estimated at 60-70% of employment - is a structural AI buffer. AI adoption happens primarily in formal organisations. The informal majority operates largely outside the near-term displacement zone.

Service workers and the informal economy

Service and sales workers score 3.5/10 on AI exposure and cover 1.6 million workers - 23.5% of Bolivian employment, the single largest occupation group. This group includes street vendors, market traders, restaurant workers, domestic workers, and retail staff. In Bolivia, a substantial portion of this group operates informally - family-run stalls, informal domestic employment, and street commerce that has no formal employment relationship and where AI productivity tools are not relevant in the near term.

The Bolivian government has maintained social policies including minimum wage increases and the Renta Dignidad pension scheme that provide some income floor for low-income workers. These policies do not directly address AI displacement, but they do mean that formal-sector AI displacement would push workers toward an informal sector that remains large and absorptive, rather than creating the kind of unemployment spike seen in economies with smaller informal buffers.

What this means for Bolivian workers

Bolivia's AI exposure profile is broadly favourable in aggregate: a 3.57/10 weighted average is well below global averages, driven by the large agricultural and informal sectors. The risk is real but concentrated. For the 221,000 formal-sector clerical workers and 484,000 professionals in La Paz, Cochabamba, and Santa Cruz, AI augmentation and eventual displacement risk is as real as anywhere in Latin America - just applied to a smaller share of the total workforce than in Chile, Colombia, or Peru.

The structural risk for Bolivia is longer-run: as formalisation increases, as digital infrastructure expands, and as the professional and service sectors grow as a share of employment, Bolivia's AI exposure profile will shift upward. The demographic bulge of young Bolivians entering the labour market over the next decade will enter a workforce where AI adoption in formal employment is accelerating. Career planning for this cohort should account for AI augmentation in professional, clerical, and technician roles as a given rather than a contingency.

See Bolivia's full occupation breakdown

Explore AI exposure, robotics risk, and employment data for all Bolivian occupation groups - or compare Bolivia against 205 other countries.

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Methodology

Employment figures are from ILO ILOSTAT (CC BY 4.0), based on INE Bolivia's Encuesta de Hogares, using ISCO-08 major group classifications. Data covers approximately 6.82 million Bolivian workers. AI exposure scores are research-based estimates per ISCO-08 group, informed by Frey-Osborne (Oxford), OECD, and IMF studies on task-level automation. They reflect the proportion of an occupation's core tasks that current AI can perform or significantly augment - not predictions of job loss rates.

Frequently asked questions

Which Bolivia jobs are most at risk from AI in 2026?
Clerical support workers face the highest AI risk in Bolivia at 8.5/10, covering around 221,000 workers in data entry, administrative coordination, and office roles. Professionals follow at 6.5/10 (484,000 workers). Managers and technicians score 5.5/10 each covering a further 532,000 workers.
How many Bolivian workers are affected by AI risk?
Bolivia has 6.82 million workers total. Around 221,000 clerical workers score 8.5/10 on AI exposure. Professionals (484,000) score 6.5/10 and technicians (418,000) score 5.5/10. The large agricultural sector (1.53 million workers at 3.0/10) and craft trades (1.3 million at 2.5/10) keep the overall average at 3.57/10.
Which Bolivian jobs are safest from AI?
Elementary occupations score 2.0/10 in Bolivia, covering 537,000 workers. Craft and trades workers score 2.5/10 (1.3 million workers). Skilled agricultural workers score 3.0/10 (1.53 million workers, the largest group). Plant and machine operators score 3.0/10 on AI but face higher robotics risk at 7.5/10.
Where does the Bolivia workforce data come from?
Employment data comes from ILO ILOSTAT (CC BY 4.0), based on INE Bolivia's Encuesta de Hogares. ISCO-08 major group classifications are used. Bolivia's large informal economy means formal wage data is limited. All data is freely explorable at worldjobsdata.com/countries/bo.

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