AI Job Risk in United States
The United States runs on a uniquely large layer of white-collar knowledge work — software, finance, insurance underwriting, corporate law, consulting, and administrative support — sitting alongside at-will employment rules that let firms restructure headcount faster than in most other economies. That combination makes AI adoption both unusually visible and unusually fast to convert into actual job changes, while a huge, geographically spread service and care economy, from hospitals to logistics yards, keeps a large share of work tied to physical presence and direct human contact.
Average AI Risk
48.48 / 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 the United States well means separating the coastal, corporate knowledge economy from the service and operational economy that employs most workers day to day. Drafting, analysis, coding support, customer correspondence, and standardized financial or legal document work sit in the exposed layer, since employers face few contractual barriers to reorganizing these roles quickly. Healthcare delivery, skilled trades, logistics, retail floor work, and public-sector jobs sit in the durable layer, where physical tasks, licensing, and direct accountability to patients or customers slow substitution regardless of how capable the underlying models become.
What Drives the Score
Employment concentrates in professional and business services, healthcare, retail, finance, technology, and a large logistics and warehousing sector built around national supply chains. AI pressure is sharpest in back-office finance, insurance claims processing, paralegal and contract review work, customer support centers, and entry-level software tasks, all of which are text-heavy and already digitized. It spreads more slowly through nursing and direct patient care, construction trades, truck driving and warehouse operations, and K-12 teaching, where physical work, licensure, and in-person trust remain central and where a fragmented, state-by-state regulatory system slows any uniform rollout.
What Holds Up Better
What holds up best are roles combining licensed responsibility with physical or interpersonal work: registered nurses, electricians and HVAC technicians, teachers, and first responders. The country's decentralized regulatory structure, with fifty separate states setting licensing and liability rules on their own terms, also slows any single wave of standardized automation from moving uniformly through regulated professions like healthcare and law, even as software tools inside those professions keep improving and law firms experiment with drafting assistance.
What This Page Does Not Claim
A single national score flattens enormous regional variation, from a Bay Area labor market dense with software roles to manufacturing and agricultural regions where AI exposure looks completely different. It also blends states with strong at-will hiring and firing against those with stronger worker protections. Read the number as a broad signal about a knowledge-heavy, flexible labor market, not as a claim that Silicon Valley and small-town Ohio face the same transition.
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 | 86 |
| 2 | Software Tester | 85 |
| 3 | Customer Support Representative | 85 |
| 4 | Data Entry Clerk | 82 |
| 5 | Copywriter | 82 |
| 6 | Telemarketer | 82 |
| 7 | Customer Support | 81 |
| 8 | Retail Cashier | 79 |
| 9 | Data Analyst | 79 |
| 10 | Bookkeeper | 78 |
| 11 | Accounting Clerk | 77 |
| 12 | QA Engineer | 77 |
| 13 | Truck Driver | 77 |
| 14 | Court Reporter | 77 |
| 15 | Proofreader | 76 |
| 16 | Receptionist | 76 |
| 17 | Paralegal | 75 |
| 18 | Digital Marketer | 75 |
| 19 | SEO Specialist | 75 |
| 20 | Social Media Manager | 75 |
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 | Judge | 11 |
| 4 | Electrician | 11 |
| 5 | Plumber | 11 |
| 6 | Psychologist | 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 | Machine Learning Engineer | 17 |
| 15 | Professor | 18 |
| 16 | Doctor | 19 |
| 17 | Air Traffic Controller | 19 |
| 18 | Social Worker | 20 |
| 19 | Detective | 20 |
| 20 | Fitness Trainer | 20 |
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 | 64.67 |
| Marketing | 64.47 |
| Retail | 62.5 |
| Finance | 59.87 |
| Technology | 54.78 |
| Transportation | 45.1 |
| Legal | 43 |
| Manufacturing | 41.63 |
| Hospitality | 36 |
| Construction | 34.25 |
| Education | 31.92 |
| Healthcare | 26.13 |
Frequently asked questions
Q.Which jobs are most at risk from AI in United States?
In United States, the jobs with the highest AI risk scores include Call Center Agent. The full ranking of the most and least exposed jobs in United States is shown above.
Q.Which jobs are safest from AI in United States?
The United States 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 United States to AI automation?
A country's exposure mostly reflects what its workforce actually does. United States 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 United States?
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.