AI job risk in Brazil
Across 436 occupations covering about 102,196,347 workers, Brazil's labour market carries a moderate average exposure to generative AI of 4.6 on a 0–10 scale, weighted by how many people each occupation employs. Every score maps an occupation onto the ILO and OpenAI research indices, so a higher number means more of the role's day-to-day tasks can already be performed or assisted by AI.
The most exposed roles are Accounting and Bookkeeping Clerk, Statistical, Finance and Insurance Clerk, Data Entry Clerk — jobs built around routine information work that large language models handle well. The least exposed include Craft and Related Worker, Domestic Cleaner and Helper, Bricklayer, where physical, in-person or hands-on tasks dominate. By industry, Business, Finance & Legal, IT & Digital sit toward the top of the range. Exposure is not the same as job loss: it flags where AI is most likely to reshape tasks first, and where workers may want to build complementary skills.
20 jobs most exposed to AI in Brazil
| # | Occupation | Code | Exposure | Average annual pay | Employed |
|---|---|---|---|---|---|
| 1 | Accounting and Bookkeeping Clerk | 4311 | 10/10 | R$37,908 | 330,717 |
| 2 | Statistical, Finance and Insurance Clerk | 4312 | 10/10 | R$59,536 | 116,555 |
| 3 | Data Entry Clerk | 4132 | 10/10 | R$22,212 | 20,979 |
| 4 | Water and Firewood Collector | 9624 | 10/10 | R$12,600 | 1,196 |
| 5 | Typist and Word Processing Operator | 4131 | 10/10 | R$51,401 | 1,149 |
| 6 | General Office Clerk | 4110 | 9/10 | R$34,775 | 4,022,345 |
| 7 | Receptionist | 4226 | 9/10 | R$22,993 | 1,080,409 |
| 8 | Advertising and Marketing Professional | 2431 | 9/10 | R$70,577 | 471,322 |
| 9 | Secretary | 4120 | 9/10 | R$31,476 | 457,013 |
| 10 | Contact Centre Information Clerk | 4222 | 9/10 | R$22,554 | 394,488 |
| 11 | Contact Centre Salesperson | 5244 | 9/10 | R$35,944 | 364,585 |
| 12 | Administrative and Executive Secretary | 3343 | 9/10 | R$60,995 | 274,513 |
| 13 | Financial Analyst | 2413 | 9/10 | R$86,330 | 236,911 |
| 14 | Journalist | 2642 | 9/10 | R$60,196 | 219,775 |
| 15 | Inquiry Clerk | 4225 | 9/10 | R$30,473 | 139,129 |
| 16 | Securities and Finance Dealer and Broker | 3311 | 9/10 | R$91,879 | 110,789 |
| 17 | Applications Programmer | 2514 | 9/10 | R$86,507 | 73,396 |
| 18 | Health Services Manager | 1342 | 9/10 | R$101,625 | 62,521 |
| 19 | Credit and Loans Officer | 3312 | 9/10 | R$71,035 | 56,233 |
| 20 | Travel Consultant | 4221 | 9/10 | R$53,685 | 52,804 |
20 jobs least exposed to AI in Brazil
| # | Occupation | Code | Exposure | Average annual pay | Employed |
|---|---|---|---|---|---|
| 1 | Craft and Related Worker | 7549 | 0/10 | R$50,033 | 7,899 |
| 2 | Domestic Cleaner and Helper | 9111 | 1/10 | R$15,833 | 4,059,754 |
| 3 | Bricklayer | 7112 | 1/10 | R$31,172 | 2,760,282 |
| 4 | Building Construction Labourer | 9313 | 1/10 | R$17,629 | 1,747,047 |
| 5 | Kitchen Helper | 9412 | 1/10 | R$20,697 | 777,041 |
| 6 | Painter and Related Worker | 7131 | 1/10 | R$29,032 | 725,660 |
| 7 | Manufacturing Labourer | 9329 | 1/10 | R$25,667 | 647,110 |
| 8 | Butcher, Fishmonger and Related Food Preparer | 7511 | 1/10 | R$26,003 | 617,616 |
| 9 | Sheet Metal Worker | 7213 | 1/10 | R$34,760 | 472,892 |
| 10 | Lifting Truck Operator | 8344 | 1/10 | R$31,215 | 330,398 |
| 11 | Vehicle Cleaner | 9122 | 1/10 | R$22,963 | 314,370 |
| 12 | Earthmoving and Related Plant Operators | 8342 | 1/10 | R$37,536 | 285,376 |
| 13 | Hand Packer | 9321 | 1/10 | R$23,072 | 220,116 |
| 14 | Spray Painters and Varnishers | 7132 | 1/10 | R$33,794 | 183,538 |
| 15 | Rubber Products Machine Operator | 8141 | 1/10 | R$27,667 | 144,529 |
| 16 | Plasterer | 7123 | 1/10 | R$30,812 | 141,433 |
| 17 | Fast Food Preparer | 9411 | 1/10 | R$25,207 | 134,667 |
| 18 | Structural Metal Preparer and Erector | 7214 | 1/10 | R$33,202 | 114,801 |
| 19 | Floor Layer and Tile Setter | 7122 | 1/10 | R$30,566 | 104,161 |
| 20 | Potter | 7314 | 1/10 | R$22,807 | 75,404 |
AI exposure by industry
| Industry | Occupations | Employed | Avg. exposure |
|---|---|---|---|
| Business, Finance & Legal | 60 | 15,926,004 | 8/10 |
| IT & Digital | 16 | 1,892,528 | 7/10 |
| Government & Public Sector | 21 | 2,368,699 | 6/10 |
| Education & Community | 29 | 6,876,871 | 5/10 |
| Healthcare & Care | 40 | 6,384,627 | 5/10 |
| Hospitality, Retail & Tourism | 39 | 23,166,675 | 5/10 |
| Engineering & Infrastructure | 44 | 3,510,520 | 5/10 |
| Transport, Logistics & Mining | 31 | 9,377,832 | 4/10 |
| Agriculture & Environment | 43 | 8,277,400 | 3/10 |
| Creative, Media & Personal Services | 38 | 8,848,702 | 3/10 |
| Trades & Construction | 75 | 15,566,489 | 2/10 |
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Frequently asked questions
How much AI risk do jobs in Brazil face?
Across 436 occupations covering about 102,196,347 workers, Brazil has an employment-weighted average generative-AI exposure of 4.6 on a 0–10 scale — a moderate level. A higher score means a larger share of a role's day-to-day tasks can already be performed or assisted by AI.
Which jobs in Brazil are most at risk from AI?
The most exposed occupations in Brazil are Accounting and Bookkeeping Clerk, Statistical, Finance and Insurance Clerk, Data Entry Clerk, Water and Firewood Collector, Typist and Word Processing Operator. These are roles built around routine information work — writing, data handling and analysis — that large language models already handle well.
Which jobs in Brazil are least exposed to AI?
The least exposed occupations include Craft and Related Worker, Domestic Cleaner and Helper, Bricklayer. Physical, hands-on and in-person tasks are much harder for current AI to automate, so these roles score low.
Does a high AI exposure score mean the job will be lost?
No. Exposure measures how much of a role's tasks AI can perform or assist with — not whether the job will disappear. A high score flags where AI is most likely to reshape tasks first, and where workers may benefit from building complementary skills.
Which industries in Brazil are most exposed to AI?
By employment-weighted average exposure, the most exposed industries in Brazil are Business, Finance & Legal, IT & Digital, Government & Public Sector.
How is the AI exposure score calculated?
Every occupation is scored 0–10 by combining two published research datasets — the ILO's Working Paper 140 index and OpenAI's ‘GPTs are GPTs’ task-exposure study — mapped onto Brazil's official occupation classification and ranked on a single global percentile scale so scores stay comparable between countries.
Methodology & sources
Every occupation is scored 0–10 for generative-AI exposure by combining two open, published research datasets — the ILO's Working Paper 140 index and OpenAI's GPTs are GPTs task-exposure study — mapped onto Brazil's official occupation classification, then ranked on a single global percentile scale so the numbers stay comparable between countries. Tile area is the size of each occupation's workforce, from official statistics. Full methodology & data sources →
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