Skill demand compared

Machine learning vs. Generative AI

How often each appears in job posts, how demand is moving, who asks for it and what it pays - from job posts sourced directly from company career sites.

In short

Which is more in demand: Machine learning or Generative AI?
Machine learning - it appears in 1.3% of job posts (74,711 in the last 90 days), vs. Generative AI 0.9%.
Is Machine learning or Generative AI growing faster?
Generative AI is growing faster, measured by the change in the share of job posts over the last three completed months vs. the three before: Machine learning +5%; Generative AI +20%.
Which pays more: Machine learning or Generative AI?
Machine learning job posts advertise the highest median salary (USD per year, last 12 months, pooled across countries): Machine learning $150,000; Generative AI $130,000.
Which is more often remote: Machine learning or Generative AI?
Generative AI - 37% of its job posts in the last 90 days offer remote or hybrid work.

Share of job posts per month

Side by side

SkillShare of postsPosts (90 days)Remote/hybridMedian salary (pooled)Top role
Machine learning 1.3% 74,711 35% $150,000 Engineer
Generative AI 0.9% 50,414 37% $130,000 Engineer

Cite this data

jobdata API. (2026, November 14). Machine learning vs. Generative AI: demand in job posts [Data set]. Retrieved November 14, 2026, from https://jobdataapi.com/skill-demand/compare/machine-learning-vs-generative-ai/

Download CSV Markdown Data as of Nov 14, 2026. Free to reuse under CC BY 4.0 with a link to this page · Methodology

More comparisons

Share of all job posts from active companies whose title or description mentions the skill as a phrase; completed calendar months. Methodology · Markdown version

Explore jobdata API with AI tools

Ask an AI assistant how to search and build with live job data.