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  1. Home/
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  3. Projections 2030

Salary Projections to 2030.

Where AI and tech salaries are headed. Year-by-year projections for 522 roles based on historical growth.

Data updated April 2026

The Projected Leader

AI Engineer national median is projected to grow from $175,000 in 2026 to $238,000 by 2030. That is +36% total growth.

Tech salary projections 2026 to 2030

Source: SEC filings, H-1B LCA (DOL), BLS OES, and 50+ job platforms. Cost-of-living adjusted via BEA Regional Price Parities.
Role20262027202820292030Growth
AI Engineer$175,000$189,000$204,000$220,000$238,000+36%
ML Engineer$185,000$200,000$216,000$233,000$252,000+36%
AI Research Scientist$200,000$220,000$242,000$266,000$293,000+47%
Deep Learning Engineer$200,000$216,000$233,000$252,000$272,000+36%
LLM Engineer$190,000$201,000$213,000$226,000$240,000+26%
NLP Engineer$180,000$191,000$202,000$214,000$227,000+26%
Computer Vision Engineer$180,000$196,000$214,000$233,000$254,000+41%
Prompt Engineer$140,000$154,000$169,000$186,000$205,000+46%
Data Scientist$130,000$140,000$152,000$164,000$177,000+36%
AI Infrastructure Engineer$190,000$209,000$230,000$253,000$278,000+46%
MLOps Engineer$160,000$165,000$170,000$175,000$180,000+13%
Software Engineer$135,000$139,000$143,000$148,000$152,000+13%
DevOps Engineer$132,000$139,000$146,000$153,000$160,000+21%
Cloud Architect$190,000$198,000$206,000$214,000$222,000+17%
Cybersecurity Engineer$160,000$166,000$173,000$180,000$187,000+17%
Product Manager$140,000$144,000$149,000$153,000$158,000+13%
Director of Engineering$220,000$229,000$238,000$247,000$257,000+17%
Chief Technology Officer$290,000$310,000$332,000$355,000$380,000+31%
Data Engineer$150,000$155,000$159,000$164,000$169,000+13%
Site Reliability Engineer$170,000$175,000$180,000$186,000$191,000+12%
Methodology

Salary estimates are aggregated from SEC proxy filings, Department of Labor H-1B LCA disclosures, Bureau of Labor Statistics Occupational Employment and Wage Statistics (OES), and compensation data from 50+ job posting platforms. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (RPP). Data covers January 2022 through April 2026. Figures represent estimated annual base salary unless otherwise noted.

Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

Orbyt Salary Intelligence. Salary Projections 2026 to 2030. Last updated April 2026. https://www.orbytjobs.ai/salaries/projections

Projection FAQ

Projections use historical year-over-year growth rates from 2022 to 2026 extrapolated forward through 2030. AI roles use a base growth rate of 6 to 10 percent reflecting the AI talent boom. Standard tech roles use 3 to 6 percent tracking BLS Occupational Employment Statistics. Each projection compounds annually.

AI and machine learning roles have grown 6 to 10 percent annually since 2022, roughly double the rate of standard software engineering. This reflects limited supply of experienced AI talent, massive venture and Big Tech investment in AI labs, and competitive pressure between OpenAI, Anthropic, Google DeepMind, and Meta AI for senior researchers.

No. Projections are extrapolations based on historical growth. Actual salaries can be affected by recessions, AI hype cycles, layoffs, offshoring, changes in stock-based comp, and shifts in demand. Use projections for career planning and negotiation context, not as guaranteed outcomes.

AI Research Scientist, Deep Learning Engineer, and LLM Engineer lead growth at roughly 9 to 10 percent annually. By 2030, a Senior AI Research Scientist at a top AI lab could earn more than $550K base salary plus significant equity, pushing total compensation well above $1M per year.

Historical precedent suggests yes, eventually. Dot-com era engineer salaries peaked in 2000 and fell 15 to 20 percent by 2003. However, AI demand is structurally different with revenue growth supporting comp, not just speculation. A correction of 10 to 15 percent is possible by 2028 to 2030, but sustained growth from current levels is the base case.

Yes. Orbyt data is available via our public Salary Intelligence API. Free tier is 60 requests per minute without auth. Pro tier ($99/month) adds quarterly history and higher limits. Enterprise tier ($499/month) adds webhooks and 10,000 requests per minute.

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