AI Job Risk in Brazil
Brazil combines a large consumer market with a wide range of on-the-ground industries, so a simple story about digital progress never explains the whole labor market. The country page becomes more useful when efficiency gains and real-world service or field demands are read separately.
Average AI Risk
44 / 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
Brazil becomes easier to read when you stop looking for one automation pattern. A large consumer economy, major service sectors, and a broad range of field-based work all sit inside the same labor market, so national averages need to be read alongside the kinds of roles that stay sensitive to infrastructure, customer conditions, and local variation.
What Drives the Score
Retail, services, resource-linked field work, and public-facing roles all matter in Brazil. Payment flows, routine administration, and other standardized processes are easier targets for automation, but work shaped by customer situations, local conditions, and practical coordination remains slower to change.
What Holds Up Better
What remains durable in Brazil is work built around live response and relationship handling. Large regional differences and uneven operating conditions make it harder to replace roles that depend on adjusting to the situation in front of you.
What This Page Does Not Claim
A national score captures the broad direction of change, but it smooths over major differences across regions and industries. Read it together with the strength of service contact and the amount of work that still depends on context rather than stable rules.
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 | Data Entry Clerk | 81 |
| 2 | Retail Cashier | 78 |
| 3 | Truck Driver | 77 |
| 4 | Bookkeeper | 77 |
| 5 | Software Tester | 77 |
| 6 | Accounting Clerk | 76 |
| 7 | Data Analyst | 76 |
| 8 | Receptionist | 74 |
| 9 | Insurance Underwriter | 73 |
| 10 | Civil Drafter | 73 |
| 11 | Taxi Driver | 71 |
| 12 | Travel Agent | 70 |
| 13 | Bank Teller | 69 |
| 14 | QA Engineer | 69 |
| 15 | Tax Preparer | 68 |
| 16 | Mobile App Developer | 68 |
| 17 | Train Operator | 67 |
| 18 | System Administrator | 67 |
| 19 | Software Engineer | 66 |
| 20 | Surveying Technician | 64 |
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 | Plumber | 11 |
| 4 | Psychologist | 12 |
| 5 | Electrician | 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 | Professor | 18 |
| 14 | Doctor | 19 |
| 15 | Air Traffic Controller | 20 |
| 16 | Fitness Trainer | 20 |
| 17 | Social Worker | 20 |
| 18 | Machine Learning Engineer | 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 | 61.5 |
| Finance | 59.47 |
| Technology | 52.22 |
| Transportation | 45.3 |
| Agriculture | 42.25 |
| Manufacturing | 41.13 |
| Energy | 37.33 |
| Hospitality | 35.62 |
| Construction | 34.33 |
| Education | 31.67 |
| Healthcare | 26.2 |