Nobody can measure a job that has been replaced: it stops being posted. What can be measured is what 984 companies using AI are hiring for today. Across 168,899 live postings, 7,363 (4.4%) are for building AI, 19,231 (11.4%) expect daily AI tool use, and 142,305 (84.3%) barely mention it.
The number this article rests on: 19,231 of 168,899 live postings expect you to work with AI tools without building them (rated Uses AI or Works on AI), against 7,363 that hire AI builders. Measured October 2026.
Most answers to this question are lists of professions ranked by how automatable they look on paper. This one is built differently. Level reads every live posting for how much of the daily work is AI, then rates it from Little AI (AI absent from the work, or only decorative) to Builds AI (building AI is the job). Postings are decisions with a budget behind them. When a company replaces a task with AI, the next posting for that role either disappears or changes level. Both are visible here, and both are re-measured monthly.
What jobs will be gone by 2030?
No job in this catalogue is gone, and this page will not pretend to know 2030. What the 168,899 live postings show is a shift inside jobs rather than a disappearance of jobs: 19,231 roles now require AI in the daily work. The task changes first; the title changes later, if at all. Measured October 2026.
The clearest signal is where the postings that use or work on AI are. These are the jobs where the employer expects AI in the workflow but still hires a person to run it:
- Software Engineering: 5,644 postings rated Uses AI or Works on AI, out of 37,290 live.
- Sales: 2,811 postings rated Uses AI or Works on AI, out of 16,988 live.
- Product: 1,640 postings rated Uses AI or Works on AI, out of 4,137 live.
- Data: 1,159 postings rated Uses AI or Works on AI, out of 5,983 live.
- Operations: 1,058 postings rated Uses AI or Works on AI, out of 10,723 live.
The tools those postings name are not exotic. Across 67,944 postings that cite any tool, the most common are Python (10,338), Aws (6,301), Excel (4,601), Sql (3,552), and Kubernetes (3,303). A job that asks for Python is not being replaced by it; it is being redefined around it.
What this data cannot show is the posting that never happened. If a support team of ten is rehired as a team of six with an AI queue, the catalogue sees six postings, not the four missing. That is why this page is measured monthly: a category whose live count falls while its share that use or work on AI rises is the pattern to watch. Today, customer support has 1,521 live postings, 19.1% of them rated Uses AI or Works on AI.
What jobs are safest from AI?
By the share of postings where AI is not the job, the safest categories are Healthcare, Finance, HR, and Operations. In each, at least 89% of live postings are rated Little AI. These companies use AI, sometimes heavily, and keep hiring people whose work stays human. Measured October 2026.
- Healthcare: 1,786 live jobs, 92.9% Little AI, 20.9% remote, median maximum $211,250 on 511 USD postings.
- Finance: 4,621 live jobs, 92.1% Little AI, 15.8% remote, median maximum $163,200 on 1,408 USD postings.
- HR: 2,363 live jobs, 92.0% Little AI, 18.4% remote, median maximum $150,000 on 780 USD postings.
- Operations: 10,723 live jobs, 89.8% Little AI, 13.9% remote, median maximum $168,370 on 3,579 USD postings.
Three traits these categories share. The work carries a relationship, a liability, or a decision that someone must own. AI can draft the contract; it cannot be the lawyer of record. It can qualify a lead; it cannot close a $204,973 account and be accountable for it. And it can summarize the meeting; someone still has to run the company.
The full list of 142,305 postings rated Little AI is on the Little AI page. The companion article AI-proof jobs ranks these categories by pay and remote share.
Which jobs will AI create?
The jobs AI creates are the ones building it: a small, well-paid minority. 7,363 live postings are rated Builds AI, 4.4% of the catalogue. The categories where that share is highest are Research (64.7%), Data (25.5%), Software Engineering (9.6%), and Security (2.3%). Median maximum salary for postings rated Builds AI is $264,000 on 3,445 USD postings. Measured October 2026.
By title, 640 postings say AI engineer, 652 say machine learning engineer, and 6,263 say LLM engineer. Prompt engineer appears in 9. The job market did not create a new profession for talking to models; it added the skill to existing ones.
Software engineering remains the largest source of new AI work, with 3,595 postings rated Builds AI out of 37,290 live in the category (9.6%). The rest of the category, 33,695 postings, is software work that now happens with AI tools rather than on them. That ratio is the whole story of this page in one category: AI replaces tasks inside jobs far more often than it replaces the job.
Which jobs is AI changing the fastest?
Not the ones on the automation lists. Ranked by the share of postings that name AI tools as daily work without building them (rated Uses AI or Works on AI), the fastest-changing categories are Product (39.6%), Design (30.4%), and Marketing (20.8%). These are jobs being rewritten around AI while the headcount stays. Measured October 2026.
- Product: 39.6% of 4,137 live postings rated Uses AI or Works on AI, 45 rated Builds AI.
- Design: 30.4% of 1,364 live postings rated Uses AI or Works on AI, 3 rated Builds AI.
- Marketing: 20.8% of 3,257 live postings rated Uses AI or Works on AI, 11 rated Builds AI.
- Data: 19.4% of 5,983 live postings rated Uses AI or Works on AI, 1,524 rated Builds AI.
- Customer Support: 19.1% of 1,521 live postings rated Uses AI or Works on AI, 1 rated Builds AI.
The list skews technical, and that is the expected shape: the people closest to the models adopt them first. The more telling number sits further down. Sales is at 16.5% rated Uses AI or Works on AI on 16,988 live postings, and the tools it names are not engineering ones. A posting that names them is hiring a salesperson or a support lead who works with an AI layer. The count of those postings, month over month, is the best measure this catalogue has of change inside a job, not loss of it.
What jobs will no longer exist in 5 years?
The postings cannot answer for 2031, but they show which rung of the ladder is thinnest today. Of 145,864 postings with a known seniority, 17,581 are intern or junior (12.1%), against 73,682 senior or lead. The entry-level rung is the one to watch: it is the work AI tools absorb first. Measured October 2026.
Three cautions before reading that as a verdict. Seniority is unknown on 23,035 postings, so the entry-level count is a floor. Companies that publish on job boards skew senior in any year, AI or not. And a thin junior rung today says nothing about the titles that will exist in five years; it says only where the pressure is. This page is re-measured monthly, and the number to compare is the entry-level share, not the total.
The AI jobs questions pages hold the shorter answers on entry-level hiring, degrees, and pay, each with the same monthly measurement.
The jobs right now
Generated from the live catalogue: postings rated Uses AI or Works on AI, where the employer expects you to work with AI tools every day. Newest first, refreshed every six hours.
