AI careers, with pay and outlook

Why one number isn’t enough

A single “AI salary” leaves out almost everything

There is no single “AI salary.” AI is many jobs, and most AI job titles are not their own government occupation — they map to a handful of established ones. A one-number figure scraped from a job board tells you nothing about the sample size behind it, the date, average-versus-median, or the outlook. The cited occupation median, the projected growth, and the annual openings together tell you far more — so that’s what we show.

How to read a salary claim →

Want the full picture per title — the cited pay proxy plus what employers actually ask for (from public job postings) plus how AI is being used in that work? See AI job titles, mapped to sourceable data →

The real occupations — with the sources

Where AI roles map, and the full cited picture

Median: BLS OEWS, May 2025. Projected growth and annual openings: BLS Employment Projections, 2024–2034. Growth is a projection, not a guarantee; pay is occupation-level and reflects the occupation and location, not the job title or any AI premium.

The degree question

BLS says bachelor’s, typically — not a master’s

For each occupation above, BLS lists a bachelor’s degreeas the typical entry-level education — not the master’s that AI-degree marketing often pushes. Some research-focused roles (mapped to Computer and Information Research Scientists) do typically expect a graduate degree, but many applied AI roles do not. Decide with the role’s real requirement and the all-in cost, not a sales funnel.

Where we won’t guess

The titles with no clean BLS occupation

Some AI titles — AI Product Manager, AI Ethicist, Generative AI Designer— do not map to a single BLS occupation, so there is no occupation-level median to cite for them. Rather than attach a job-board number with no denominator or date, we say so. A figure we can’t source honestly is one we don’t publish.

Common questions

AI careers, answered honestly

What is the average salary for AI careers?

There is no single "AI salary," and a one-number figure from a job board has no sample size, date, or outlook. Most AI job titles map to a few real BLS occupations: the U.S. Bureau of Labor Statistics reports national median wages of $120,230 for Data Scientists, $135,980 for Software Developers, and $129,180 for Information Security Analysts (OEWS, May 2025). Pay is set by the occupation and location, not by the job title or by AI itself, and entry-level roles sit below these medians.

What is the job outlook for AI careers?

BLS Employment Projections (2024-2034) project employment growth of about 33.5% for Data Scientists, 15.8% for Software Developers, and 28.5% for Information Security Analysts, with thousands of annual openings each. These are projections, not guarantees, but they are the kind of outlook context a single salary number leaves out entirely.

Do AI careers require a master’s degree?

For these occupations, BLS lists a bachelor’s degree as the typical entry-level education — not a master’s. Some research-focused roles (mapped to Computer and Information Research Scientists) do typically expect a graduate degree, but many applied AI roles do not. Check the requirement for the specific role rather than assuming.

Which AI job titles don’t map to a BLS occupation?

Titles like AI Product Manager, AI Ethicist, and Generative AI Designer do not have a single clean BLS occupation, so there is no occupation-level median to cite for them. Rather than attach a job-board number with no denominator or date, RoleMath says so plainly instead of fabricating a salary.