What Jobs Will AI Replace First? (2026 Data)
If you're wondering whether your role is on the front line, the data is clear about which jobs go first. Out of the 3649 roles we've assessed using the JobZone scoring framework, 200 (5%) land in the RED zone — meaning AI can already perform a significant portion of their core tasks. 70 of those are classified RED Imminent, scoring below 20 out of 100.
The role count alone — 200 — undersells the impact. Mapped to US Bureau of Labor Statistics employment data, those roles account for 🇺🇸 44.3M US workers (26% of the mapped workforce). The gap between "a few dozen job titles" and "millions of workers" is the real story.
What do these roles have in common? Their work happens entirely in software, their tasks are routine and repetitive, and there are few regulatory or physical barriers preventing AI from doing the job today. Below, we rank them, explain what makes them vulnerable, and help you see which industries are most exposed.
The 20 Most Vulnerable Jobs
Ranked by JobZone Score (lowest resistance first). Each role links to its full assessment.
| # | Role | Score |
|---|---|---|
| 1 | File Clerks (Mid-Level) | 1.5 /100 |
| 2 | Micro-Task Worker (Online) (Mid-Level) | 1.7 /100 |
| 3 | Data Entry Keyer (Mid-Level) | 2.3 /100 |
| 4 | Word Processor and Typist (Mid-Level) | 2.6 /100 |
| 5 | Vulnerability Tester / Scanner Operator (Entry-Level) | 2.7 /100 |
| 6 | Telephone Operator (Mid-Level) | 3.0 /100 |
| 7 | Virtual Assistant (Entry-to-Mid Level) | 3.2 /100 |
| 8 | Live Chat Support Agent (Entry-to-Mid Level) | 3.4 /100 |
| 9 | Telemarketer (Mid-Level) | 3.4 /100 |
| 10 | Medical Transcriptionist (Mid-Level) | 3.6 /100 |
| 11 | Toll Collector (Mid-Level) | 3.6 /100 |
| 12 | Machine Feeders and Offbearers (Mid-Level) | 3.6 /100 |
| 13 | Procurement Clerks (Mid-Level) | 3.6 /100 |
| 14 | Correspondence Clerk (Mid-Level) | 3.6 /100 |
| 15 | Desktop Publisher (Mid-Level) | 3.7 /100 |
| 16 | Office Machine Operator, Except Computer (Mid-Level) | 3.9 /100 |
| 17 | OnlyFans Chatter / Ghostwriter (Entry-to-Mid Level) | 4.0 /100 |
| 18 | Meter Reader (Mid-Level) | 4.1 /100 |
| 19 | Medical Scribe (Mid-Level) | 4.3 /100 |
| 20 | Insurance Claims and Policy Processing Clerk (Entry-to-Mid) | 4.4 /100 |
What Makes These Jobs Vulnerable?
The 200 RED zone roles share four traits that make them first in line for AI displacement. Our scoring methodology evaluates each role across five dimensions — here's what the most vulnerable jobs have in common:
Digital-First Workflows
These roles operate entirely in software. Every core task — writing, processing, analysing, communicating — happens on a screen. AI is strongest where work is digital.
Routine & Repetitive Tasks
The core work follows predictable patterns. Data entry, form processing, basic coding, scheduling — tasks AI tools can already handle with minimal oversight.
Low Regulatory Barriers
No licensing, certification, or legal framework prevents AI from performing the work. Unlike doctors or lawyers, there's nothing stopping an employer from automating these tasks tomorrow.
No Physical Presence Required
The job can be done remotely. If a human doesn't need to be physically present, neither does an AI agent — it just needs access to the same systems.
RED Imminent — The Jobs AI Is Replacing Now
70 roles in our database score below 20 on the JobZone Score, placing them in the RED Imminent category. These aren't jobs that might be automated in five years. The tools to replace their core workflows exist today — the lowest-scoring roles handle tasks like data entry, basic correspondence, and routine processing that AI systems already perform at scale.
Which Industries Are Most Exposed?
Average JobZone Scores vary across career domains. Domains with lower averages have a higher concentration of vulnerable roles. Individual roles within any domain can vary widely — two roles in the same industry can sit in very different zones depending on how much of their work is digital, routine, and unregulated.
| Domain | Avg JobZone Score |
|---|---|
| Data | 28.6 |
| Business & Operations | 29.6 |
| Manufacturing | 31.1 |
| Real Estate & Property | 34.5 |
| Cloud & Infrastructure | 35.1 |
| Development | 36.0 |
| Creative & Media | 37.2 |
| Library, Museum & Archives | 39.4 |
| Legal & Compliance | 39.7 |
| Science & Research | 40.7 |
| Retail & Service | 40.8 |
| Government & Public Admin | 42.4 |
| Engineering | 46.0 |
| Transportation | 46.4 |
| Agriculture | 48.1 |
| Cybersecurity | 49.0 |
| Education | 49.1 |
| Other | 50.5 |
| Utilities & Energy | 50.6 |
| Public Safety | 53.0 |
| Religious & Community | 54.4 |
| Social Services | 55.8 |
| AI | 56.0 |
| Sports & Recreation | 56.2 |
| Healthcare | 57.5 |
| Military | 57.6 |
| Veterinary & Animal Care | 59.8 |
| Trades & Physical | 60.5 |
All 200 RED Zone Roles
Every role in our database scoring below 33 on the JobZone Score. Sorted by score (most vulnerable first). Search all 3649 roles →
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About This Data
All scores are generated using the AIJRI (AI Job Resistance Index) methodology v3, a composite scoring framework that evaluates each role across resistance, evidence, barriers, protective principles, and AI growth correlation. Scores range from 0 (no resistance) to 100 (maximum resistance). Roles scoring below 33 are classified RED. Those below 20 are RED Imminent.
For the inverse of this analysis — the jobs most resistant to AI — see Jobs That AI Cannot Replace.
About the Authors
Nathan House
AI and cybersecurity expert with 30 years of hands-on experience. Nathan founded StationX (500,000+ students) and built JobZone Risk to ensure people invest their career development in the right direction.
StationX HAL
Custom AI infrastructure built by Nathan House for StationX. HAL co-develops JobZone Risk end-to-end: the scoring methodology, the assessment pipeline, every role assessment, and the statistical analysis that powers these articles — all directed by Nathan.