AI Job Risk in Brazil

Average generative-AI exposure of the workforce

0.270

ILO score (0–1). Rank 17 of 20 countries.

People in employment, 2025

101,852,000

ILO modelled estimate

What people in Brazil work as

Share of employment in each ISCO-08 major occupation group, and the group's average generative-AI exposure (ILO score, 0–1). The country figure above is the employment-weighted average of the exposure column.

Occupation group	Share of employment	Exposure (ILO, 0–1)
Service and sales workers	22.5%	0.26
Skilled agricultural workers and elementary occupations	20.6%	0.15
Craft and related trades workers	13.3%	0.17
Professionals	13.1%	0.39
Plant and machine operators, and assemblers	9.4%	0.20
Technicians and associate professionals	9.0%	0.35
Clerical support workers	8.6%	0.53
Managers	3.5%	0.36

Method: each country's employment by ISCO-08 major occupation group (ILOSTAT, ILO modelled estimates) multiplied by the average ILO exposure score of the occupations in that group (ILO Working Paper 140), then added up. The ILO publishes skilled agricultural workers and elementary occupations as one group and leaves out the armed forces. The figure uses the ILO's 0–1 scale, not the 0–100 occupation index used elsewhere on this site, and it treats an occupation as equally exposed in every country.

How to read this page in practice

The notes below explain how to read the country figure, what kind of occupation mix raises or lowers 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 figure

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. Both lists only include jobs in the three occupation groups that employ the most people in Brazil, ordered by exposure index.

Rank	Job	Occupation group	Generative-AI exposure
1	Telemarketer	Service and sales workers	93
2	Retail Salesperson	Service and sales workers	79
3	Retail Cashier	Service and sales workers	75
4	Tour Guide	Service and sales workers	60
5	Model	Service and sales workers	59
6	Flight Attendant	Service and sales workers	56
7	Waiter	Service and sales workers	51

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	Occupation group	Generative-AI exposure
1	Housekeeper	Skilled agricultural workers and elementary occupations	13
2	Fisherman	Skilled agricultural workers and elementary occupations	17
3	Welder	Craft and related trades workers	18
4	Construction Worker	Skilled agricultural workers and elementary occupations	19
5	Carpenter	Craft and related trades workers	19
6	Elevator Technician	Craft and related trades workers	22
7	Aircraft Mechanic	Craft and related trades workers	23
8	Firefighter	Service and sales workers	25
9	Baker	Craft and related trades workers	27
10	Renewable Energy Technician	Craft and related trades workers	27
11	Plumber	Craft and related trades workers	28
12	Automotive Technician	Craft and related trades workers	29
13	Farmer	Skilled agricultural workers and elementary occupations	32
14	Warehouse Operator	Skilled agricultural workers and elementary occupations	34
15	Electrician	Craft and related trades workers	36
16	Mechanic	Craft and related trades workers	38
17	Security Guard	Service and sales workers	39
18	Barista	Service and sales workers	39
19	HVAC Technician	Craft and related trades workers	41
20	Bartender	Service and sales workers	43

Sources

Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.

The publishers did not prepare, review or endorse this site. Full citations, licences and method

Frequently asked questions

Q.Which jobs are most at risk from AI in Brazil?

Most exposed: Telemarketer, Retail Salesperson, Retail Cashier. 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.

Q.Which jobs are safest from AI in Brazil?

Least exposed: Housekeeper, Fisherman, Welder. 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.

Q.How exposed is Brazil to AI automation?

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.

Q.Does high exposure mean jobs will disappear in Brazil?

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.