AI Job Risk in United States
The United States combines a massive service economy with a powerful technology sector, which makes AI adoption unusually visible and fast. Even so, once face-to-face services, field operations, and public-facing responsibility are included, the labor market becomes too broad to describe through one single story.
Average AI Risk
47.54 / 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
The United States becomes easier to read when information-processing roles, where adoption can move quickly, are separated from service and operational work where responsibility remains more visible. The country has both a huge service market and a large technology sector, so AI deployment is fast, yet it also contains large amounts of face-to-face service work, field operations, and public-oriented work that do not fit the same replacement story.
What Drives the Score
Software, finance, administration, and analytical work are all places where AI pressure is especially visible in the United States. By contrast, healthcare, education, field operations, and public services retain more human weight because explanation, responsibility, and practical judgment remain central.
What Holds Up Better
The work that holds up best in the United States carries final judgment inside large-scale systems. Even when generation and prediction improve, roles that decide who is affected and where to draw the line retain their value.
What This Page Does Not Claim
The country-wide score is meant to show a broad direction, not to claim that Silicon Valley roles and local face-to-face jobs move at the same pace. Read the score together with industrial concentration and the burden of interpersonal and public responsibility.
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 | Call Center Agent | 85 |
| 2 | Customer Support Representative | 82 |
| 3 | Data Entry Clerk | 81 |
| 4 | Telemarketer | 81 |
| 5 | Retail Cashier | 78 |
| 6 | Customer Support | 78 |
| 7 | Bookkeeper | 77 |
| 8 | Software Tester | 77 |
| 9 | Truck Driver | 77 |
| 10 | Copywriter | 77 |
| 11 | Accounting Clerk | 76 |
| 12 | Data Analyst | 76 |
| 13 | Proofreader | 75 |
| 14 | Court Reporter | 75 |
| 15 | Receptionist | 74 |
| 16 | Insurance Underwriter | 73 |
| 17 | Translator | 73 |
| 18 | Paralegal | 73 |
| 19 | Civil Drafter | 73 |
| 20 | Taxi Driver | 71 |
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 | Judge | 12 |
| 6 | Electrician | 12 |
| 7 | Paramedic | 14 |
| 8 | Nurse | 15 |
| 9 | Dentist | 15 |
| 10 | Psychiatrist | 16 |
| 11 | School Counselor | 16 |
| 12 | Athletic Coach | 16 |
| 13 | Veterinarian | 17 |
| 14 | Professor | 18 |
| 15 | Doctor | 19 |
| 16 | Social Worker | 20 |
| 17 | Machine Learning Engineer | 20 |
| 18 | Air Traffic Controller | 20 |
| 19 | Fitness Trainer | 20 |
| 20 | Elevator Technician | 21 |
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 |
|---|---|
| Media | 62.33 |
| Marketing | 61.93 |
| Retail | 61.5 |
| Finance | 59.47 |
| Technology | 52.22 |
| Transportation | 45.3 |
| Legal | 43 |
| Manufacturing | 41.13 |
| Hospitality | 35.62 |
| Construction | 34.33 |
| Education | 31.67 |
| Healthcare | 26.2 |