Jobs Most at Risk from AI in 2026

We analyzed 925 U.S. occupationsusing BLS employment data, academic AI exposure research, and real-time layoff tracking to identify the careers most vulnerable to automation. Here's what the data shows.

925
Occupations analyzed
14%
Score high risk (70+)
4.7M
Workers in high-risk roles
47.3
Average risk score

Top 25 Most At-Risk Occupations

Ranked by our composite AI risk score, which weighs automation potential (Frey & Osborne), AI task exposure (Webb), generative AI exposure (Eloundou et al.), and real-world layoff data.See full methodology โ†’

RankOccupationRisk ScoreSalaryEmployment
1
Data Entry Keyers
Nearly 100% of tasks are routine, structured data processing โ€” exactly what AI excels at
92$37K152,000
2
Telemarketers
AI voice agents already handle outbound calls at scale with higher conversion rates
89$31K94,000
3
Bookkeeping & Auditing Clerks
Automated reconciliation, categorization, and reporting are replacing manual bookkeeping
85$47K1,530,000
4
Tax Preparers
Rule-based work with structured inputs โ€” AI tax tools already handle standard returns
82$46K76,000
5
Loan Officers
Automated underwriting and risk assessment replacing manual loan evaluation
78$65K310,000
6
Insurance Underwriters
Algorithmic risk modeling outperforms human judgment on standard policies
76$77K114,000
7
Title Examiners & Abstractors
Document review and title search is highly automatable with NLP
75$52K56,000
8
Payroll & Timekeeping Clerks
Payroll processing is almost fully automatable with existing software
74$49K106,000
9
Legal Secretaries
Document drafting, scheduling, and filing increasingly handled by AI tools
73$50K163,000
10
Credit Analysts
Quantitative credit assessment is a natural fit for machine learning models
72$82K71,000
11
Billing & Posting Clerks
Invoice processing and payment posting are prime automation targets
71$42K427,000
12
Word Processors & Typists
Voice-to-text and AI drafting tools have made this role largely redundant
71$42K33,000
13
Proofreaders & Copy Markers
AI proofreading tools match or exceed human accuracy for standard text
70$44K10,000
14
Telephone Operators
Already decimated โ€” AI call routing handles the remaining volume
70$37K4,200
15
Claims Adjusters
Photo-based damage assessment and automated claims processing reducing headcount
69$72K284,000
16
Financial Clerks (Other)
Routine financial record-keeping automated by accounting software + AI
68$44K97,000
17
Brokerage Clerks
Trade processing and reconciliation increasingly automated
68$56K60,000
18
Order Clerks
Order entry and tracking fully automatable with e-commerce systems
67$38K54,000
19
Paralegals & Legal Assistants
Document review, legal research, and contract analysis โ€” core LLM capabilities
66$59K345,000
20
Cargo & Freight Agents
Logistics coordination and documentation becoming AI-managed
65$47K80,000
21
Purchasing Agents
AI procurement tools handle vendor analysis, pricing, and order management
64$67K273,000
22
Executive Secretaries
AI scheduling, email drafting, and calendar management replacing admin support
63$68K444,000
23
Loan Interviewers & Clerks
Application intake and verification increasingly digital and automated
63$44K164,000
24
Statistical Assistants
Data compilation and basic statistical analysis handled by AI tools
62$50K12,000
25
Court Reporters
Real-time AI transcription approaching certified accuracy levels
62$60K23,000

Employment figures from BLS Occupational Employment and Wage Statistics. Risk scores from our composite index.View all 925 occupations โ†’

What Makes a Job Vulnerable to AI?

Five factors consistently predict which occupations face the highest AI displacement risk. The more of these a job has, the higher it scores.

๐Ÿ“Š

Routine & Repetitive Tasks

Jobs where 70%+ of daily work follows predictable patterns. AI thrives on routine โ€” data entry, form processing, and standard calculations are already faster and cheaper with automation.

๐Ÿ’ป

Digital-First Workflows

Roles that exist entirely on a computer. If the job's inputs and outputs are digital, AI can slot in with minimal friction โ€” no robotics or physical infrastructure needed.

๐Ÿ“‹

Rule-Based Decision Making

When decisions follow clear criteria (approve/deny, pass/fail, compliant/non-compliant), algorithms can match or exceed human accuracy at a fraction of the cost.

๐Ÿ“

Text & Document Processing

Large language models have made document review, summarization, and drafting remarkably capable. Any job centered on processing text is exposed.

๐Ÿ“ˆ

Quantitative Analysis

Number-crunching, statistical analysis, and financial modeling โ€” tasks where AI models process data faster and without fatigue.

Industries With the Most Vulnerable Workers

Some industries concentrate at-risk roles more than others. Here's where the highest-scoring occupations cluster.

๐Ÿฆ

Financial Services

Avg risk: 62 ยท 31% of roles high-risk

Key vulnerable roles: Loan officers, underwriters, claims adjusters, financial clerks

๐Ÿข

Administrative & Support

Avg risk: 55 ยท 28% of roles high-risk

Key vulnerable roles: Secretaries, data entry, billing clerks, payroll processors

โš–๏ธ

Legal Services

Avg risk: 52 ยท 24% of roles high-risk

Key vulnerable roles: Paralegals, legal secretaries, court reporters, title examiners

๐Ÿ’ป

Information Technology

Avg risk: 58 ยท 22% of roles high-risk

Key vulnerable roles: QA testers, system administrators, help desk, junior developers

๐Ÿ›ก๏ธ

Insurance

Avg risk: 54 ยท 26% of roles high-risk

Key vulnerable roles: Underwriters, claims processors, actuarial assistants

๐Ÿ 

Real Estate

Avg risk: 48 ยท 18% of roles high-risk

Key vulnerable roles: Title examiners, appraisers, property managers (admin tasks)

Explore all industry risk profiles โ†’

The Salary Paradox

Contrary to popular belief, AI doesn't just threaten low-wage workers. Our data shows a bimodal pattern: both low-salary clerical roles and mid-to-high salary knowledge workers face significant risk.

$31Kโ€“$50K
Clerical & administrative roles
Data entry, billing, payroll, typing
$50Kโ€“$80K
Mid-career professional roles
Paralegals, analysts, loan officers
$80K+
Senior knowledge workers
Underwriters, credit analysts, actuaries

What You Can Do About It

If your job appears on this list, don't panic. Displacement doesn't happen overnight. Here's how to get ahead of it.

1

Check your specific risk score

Use our risk calculator to see exactly where your occupation stands โ€” and which tasks are most automatable.

Check your risk โ†’
2

Identify transferable skills

Most at-risk workers have skills that map to lower-risk roles. Our career transition tool shows the best adjacent moves.

Find transitions โ†’
3

Build AI-complementary skills

Leadership, complex problem-solving, emotional intelligence, and creative judgment are the hardest capabilities for AI to replicate.

Assess your skills โ†’
4

Learn to work with AI

The workers who thrive will be those who use AI as a tool, not those who compete against it. Prompt engineering, AI oversight, and human-AI collaboration are emerging skill sets.

Explore retraining โ†’

Frequently Asked Questions

What jobs are most at risk from AI in 2026?โ–ผ
Based on our composite scoring of 925 occupations, the most at-risk jobs include data entry keyers (score 92), telemarketers (89), bookkeeping clerks (85), tax preparers (82), and loan officers (78). These roles share common traits: routine tasks, digital workflows, and rule-based decisions.
How many jobs will AI replace by 2030?โ–ผ
Estimates vary widely. Goldman Sachs projects 300 million jobs globally could be affected. McKinsey estimates 400-800 million workers may need to find new occupations by 2030. However, 'affected' doesn't mean eliminated โ€” most roles will be transformed rather than fully replaced. Our data shows only 14% of U.S. occupations score in the high-risk range (70+).
Can AI really replace white-collar jobs?โ–ผ
Yes โ€” and it's already happening. Generative AI uniquely threatens cognitive, non-routine work: writing, analysis, research, coding, and administrative tasks. Unlike previous automation waves that hit manufacturing, this one targets office workers. Our data shows finance, legal, and administrative roles scoring highest.
What makes a job resistant to AI automation?โ–ผ
Jobs that require physical presence in unpredictable environments, deep emotional intelligence, complex creative judgment, or high-stakes real-time decisions tend to be most resistant. Surgeons (score 8), firefighters (12), electricians (14), and mental health counselors (11) are among the safest.
Should I change careers because of AI?โ–ผ
Not necessarily. First, check your specific occupation's risk score. Even in at-risk fields, the transition takes years โ€” giving you time to adapt. Focus on building AI-complementary skills: leadership, creativity, emotional intelligence, and complex problem-solving. Our career transition tool can show lower-risk roles that match your existing skillset.

Don't just read about the risk โ€” measure it

Search 925 occupations, compare risk scores, and find your personalized career plan using our free tools.