AI Job Risk in Brazil
Brazil's labor market is defined by a large agribusiness export sector, a sprawling services economy, and one of the largest informal workforces of any major economy, alongside a banking and fintech sector that has industrialized much faster than the rest of the country. That split matters for AI: digital banking, call centers, and back-office finance are already deeply exposed to automation, while the vast informal and semi-formal service economy, agricultural fieldwork, and small-scale retail run on cash, personal trust, and physical presence that software cannot reach.
Average AI Risk
44.54 / 100
Jobs Analyzed
204
How to read this page in practice
The notes below explain how to interpret the country score, what kinds of sector mix usually raise or lower it, and what this comparison can and cannot tell you.
How to Read This Country
Reading Brazil well means separating the formal, digitized economy from the much larger informal one. Banks, insurers, telecoms, and large retailers have invested heavily in automated customer service, credit scoring, and back-office processing, so clerical and support roles inside those firms face real AI pressure. Outside that formal core, informal commerce, domestic services, construction labor, and small agricultural operations employ a huge share of workers in ways that are barely touched by digital systems, so a single national score has to be read against how much of the workforce sits in each layer.
What Drives the Score
Brazil concentrates employment in agribusiness (soy, beef, sugar, coffee), retail and wholesale trade, a large public sector, construction, and a banking and fintech industry that is unusually advanced for the region and widely used even by lower-income households. AI pressure is heaviest in banking operations, insurance underwriting, call-center and customer-support work, and standardized administrative processing in large firms and government agencies. It moves far more slowly through agricultural fieldwork, logistics on poor or informal road networks, construction trades, and the informal retail and service stalls that make up much of urban commercial life across the country.
What Holds Up Better
What holds up in Brazil is work tied to physical terrain, informal-economy trust, and direct human negotiation. Agricultural labor, equipment operation on farms, construction trades, and last-mile delivery in dense or informal urban areas depend on physical adaptability and local knowledge that software cannot supply. Much of the services economy also runs on personal relationships and cash transactions built on trust between neighbors and repeat customers, a structure that resists standardization regardless of how capable AI tools become inside the formal sector.
What This Page Does Not Claim
A single national score for Brazil compresses a highly formalized banking and corporate sector into the same number as a very large informal economy that operates by different rules entirely. Regional gaps between wealthier southern industrial states and less-formalized northern and interior regions add another layer the average cannot show. Read the score together with how much of a given local labor market sits inside registered, digitized firms versus informal, cash-based work.
Jobs Most At Risk from AI
This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Software Tester | 85 |
| 2 | Data Entry Clerk | 82 |
| 3 | Retail Cashier | 79 |
| 4 | Data Analyst | 79 |
| 5 | Bookkeeper | 78 |
| 6 | Truck Driver | 77 |
| 7 | Accounting Clerk | 77 |
| 8 | QA Engineer | 77 |
| 9 | Receptionist | 76 |
| 10 | Insurance Underwriter | 73 |
| 11 | Mobile App Developer | 73 |
| 12 | Software Engineer | 73 |
| 13 | Civil Drafter | 73 |
| 14 | Taxi Driver | 72 |
| 15 | Travel Agent | 71 |
| 16 | System Administrator | 71 |
| 17 | Bank Teller | 69 |
| 18 | Tax Preparer | 69 |
| 19 | Programmer | 69 |
| 20 | IT Support Specialist | 67 |
Jobs Safest from AI
This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Surgeon | 10 |
| 2 | Therapist | 11 |
| 3 | Electrician | 11 |
| 4 | Plumber | 11 |
| 5 | Psychologist | 12 |
| 6 | Paramedic | 14 |
| 7 | Nurse | 15 |
| 8 | Dentist | 15 |
| 9 | Athletic Coach | 16 |
| 10 | School Counselor | 16 |
| 11 | Psychiatrist | 16 |
| 12 | Veterinarian | 17 |
| 13 | Machine Learning Engineer | 17 |
| 14 | Professor | 18 |
| 15 | Air Traffic Controller | 19 |
| 16 | Doctor | 19 |
| 17 | Fitness Trainer | 20 |
| 18 | Social Worker | 20 |
| 19 | Elevator Technician | 21 |
| 20 | Aircraft Mechanic | 22 |
Industry Risk
This table compares the industries that shape the country score today. It is most useful for seeing which parts of the economy pull the average up or down.
| Industry | Industry Average Risk Score |
|---|---|
| Retail | 62.5 |
| Finance | 59.87 |
| Technology | 54.78 |
| Transportation | 45.1 |
| Agriculture | 42.25 |
| Manufacturing | 41.63 |
| Energy | 37.67 |
| Hospitality | 36 |
| Construction | 34.25 |
| Education | 31.92 |
| Healthcare | 26.13 |
Frequently asked questions
Q.Which jobs are most at risk from AI in Brazil?
In Brazil, the jobs with the highest AI risk scores include Software Tester. The full ranking of the most and least exposed jobs in Brazil is shown above.
Q.Which jobs are safest from AI in Brazil?
The Brazil roles least exposed to AI automation include Surgeon, which tend to rely on physical work, in-person interaction, or accountable judgment.
Q.How exposed is Brazil to AI automation?
A country's exposure mostly reflects what its workforce actually does. Brazil combines highly exposed office and back-office work with more durable physical, field, or care work, so a single national score is a broad signal rather than a full picture.
Q.Does a high AI risk score mean jobs will disappear in Brazil?
No. The score measures how exposed typical tasks are to automation, not a forecast of job losses. Real-world adoption also depends on cost, regulation, and local labor conditions.