Wage Impact | By 2030
High-Skill AI Wage Premium by 2030
Workers with strong AI and machine learning skills currently earn about 23.4% more than the median worker in comparable roles. This "AI premium" reflects both scarcity of talent and the outsized productivity gains AI-skilled workers deliver. A rising premium signals that AI skills are becoming more, not less, valuable.
Blended estimate across 9 sources ranging 3–35%. Higher-tier evidence and more recent data are weighted more heavily. See the full methodology for details on weighting, source validity, and recency bias.
Predictions Over Time
The chart below tracks how this estimate has shifted over time as new research and data emerge. Every source is color-coded by evidence quality; use the tiers below to filter what appears on the chart and in the weighted average above.
Filter by evidence tiers
Each data point is from a different source. Dots are color-coded by evidence tier. Click any dot to jump to its source. Colored overlay bars represent relevant studies or data points that provide directional (but not exact) guidance. Click a bar to see its source.
Task Visualizer
What parts of your job will be cheaper to do with AI?
See which of your tasks face cost pressure from AI first.
Full Economy Picture
AI and the US Economy
Automation impact by occupation and income tier.
Sources (38)
Wittich: AI-complementary workers pulling away in wage inequality
The research highlights a growing divergence between workers who can complement AI tools and those whose skills are substituted by them, amplifying within-occupation wage inequality.
Hosseini/Lichtinger: p90-p50 wage gap rises from 0.733 to 0.789 in combined GE model
In general equilibrium, overall wage dispersion rises modestly relative to baseline: the variance of log wages increases from 0.201 to 0.230, while the p90-p50 gap rises from 0.733 to 0.789.
FRI: Rapid scenario → top 10% wealth share rises to 80% by 2050 (from ~72%)
In a rapid AI scenario, economists forecast the fraction of wealth held by the wealthiest 10% of households rising to 80% by 2050 (from ~72% today).
Lichtinger & Hosseini: Between-occupation inequality may widen from AI
If AI dramatically boosts the productivity of high-paying knowledge work while leaving lower-paid service occupations largely unaffected, between-occupation inequality could widen even as within-task inequality narrows.
Anthropic: Skill-biased adoption deepening inequality channel
early adopters with high-skill tasks have more successful interactions with Claude than later, less technical adopters. These early-adopting users may simultaneously be the most exposed to AI-driven disruption and most aided by AI in these initial, augmentative waves of adoption.
Freund & Mann: Return to analytical skills falls; social/manual skills rise
AI raises the return to social and non-routine manual skills, while reducing the return to analytical skills. Workers with high analytical skills are thus over-represented among those who lose from the AI shock.
CoworkingCafe: AI salaries $215K in San Jose, $128K in Dallas; geographic premium wide
AI professionals earn $215,000, on average, in San Jose, CA — the highest in the country. But, with living costs 13% above average, that premium narrows. For comparison, in Dallas–Fort Worth, TX, $128,000 salaries stretch further with costs just 3% above average.
Anthropic: AI-exposed workers earn 47% more than unexposed workers
Workers in the most exposed professions earn 47% more, on average, and are 16 percentage points more likely to be female
Cooper/ACS: Early-career CS salary $90K vs $55K all grads (2024)
The median salary for early-career CS majors was $90,000 in 2024. The median salary for all recent college graduates was just $55,000.
KPMG: 68% recruiting new AI roles (architects, etc.)
45% of leaders are willing to pay 11% to 15% more for strong AI skills
Dallas Fed: AI exposure → +0.2pp wage growth for high-experience-premium occupations
Nominal average weekly wages nationwide have increased 7.5 percent, while the computer systems design sector has risen 16.7 percent — a 9.2 percentage point gap reflecting the AI-skill wage premium.
OpenAI: avg stock comp $1.5M; researcher total comp $763K–$1.44M
OpenAI average stock-based compensation reached $1.5M per employee in 2025. Research scientist total compensation ranges from $763K to $1.44M. The company raised $6.6B in October 2024 at a $157B valuation.
CEPR/BIS: wage gains may accrue disproportionately to highly skilled workers
The wage gains observed may accrue disproportionately to highly skilled workers, potentially widening income inequality.
Wharton-Accenture: AI shifting value to judgment and specialized skills
AI is redistributing economic value away from routine cognitive tasks toward judgment, coordination, and specialized knowledge.
Althoff & Reichardt: Architects, engineers, executives see absolute wage declines
some occupations — such as architects, engineers, and executives — see absolute wage declines
AI/ML engineers median total compensation reached $185K in 2025, with top-tier researchers commanding $500K-$1M+. The premium over general software roles widened to 35%.
Stanford: adoption concentrated among higher-earning, college-educated workers
Adoption concentrated among younger, college-educated, higher-earning employees, reinforcing wage premium for AI-complementary skills.
Revelio Labs: demand for $100K+ jobs up ~150% in 2 years; K-shaped recovery
Demand for high-wage jobs with salaries over USD $100,000 has grown by about 150% over the past two years. Meanwhile, job postings for low-wage positions have fallen steadily for nearly two years.
Fortune: AI talent commands 30% salary premium as demand outstrips supply
Companies hiring AI talent face a 30% salary premium as demand far outstrips supply, with experts warning that the cost of delayed AI hiring will only increase over time.
Fortune: non-tech AI-skilled roles pay 28% more (~$18K/year extra)
Job postings for non-tech roles that require AI skills offer 28% higher salaries — an average of nearly $18,000 more per year. The divide between AI-skilled and non-AI-skilled workers is widening.
Lightcast: 51% of AI job postings now outside IT; 800% growth in non-tech gen AI roles since 2022
Analysis of 1.3B job postings finds AI skills command 28% salary premium (~$18K/year); 43% for workers with 2+ AI skills. 51% of AI-skill postings now outside IT/CS with 800% growth in non-tech gen AI roles since 2022.
Glassdoor: AI jobs pay 25% premium; AI job listings up 123% YoY
AI jobs pay more than similar jobs that do not focus on AI, with a typical premium of 25%. The share of AI jobs among new job listings increased 123% from 2023 to 2024.
NBER (Autor/Thompson): Automation of inexpert tasks raises wages in expert-intensive occupations
automation has raised wages and reduced employment in occupations where it eliminated inexpert tasks, but lowered wages and increased employment in occupations where it eliminated expert tasks.
NVIDIA: median comp $301K, headcount up 21.6% YoY
NVIDIA median employee total compensation was $301,233 in FY2025 (ending January 2025), with CEO-to-median pay ratio of 166:1. Total headcount reached 36,000, a 21.6% increase YoY.
QJE: less experienced workers improve most with AI
AI assistance increases customer service worker productivity by 15% on average. Less experienced workers improve most; AI disseminates best practices from top performers.
Marguerit: Augmentation AI fosters new work and raises wages for high-skilled occupations
Augmentation AI fosters new work and raises wages for high-skilled occupations.
LinkedIn: AI engineering talent grew 130% since 2016; 7 per 1,000 members
LinkedIn's AI skills resources hub tracking AI engineering talent growth (130% increase since 2016). 7 out of every 1,000 LinkedIn members globally are AI engineering talent.
Oxford/OII: AI roles 2x more likely to require resilience/agility; 5-10% premium for complementary skills (12M vacancies)
AI-focused roles are twice as likely to require resilience, agility, and analytical thinking. Data scientists with complementary skills (resilience, ethics) earn a 5-10% salary premium. Complementary effects are 1.7x larger than substitution effects across 12 million US job vacancies 2018-2023.
Microsoft: Cloud revenue $35.1B, up 23%; 65%+ of Fortune 500 use Azure OpenAI
Microsoft Cloud revenue was $35.1 billion, up 23%. More than 65% of the Fortune 500 now use Azure OpenAI Service, and $100M+ Azure deals increased over 80% YoY.
Noy & Zhang: low-ability workers gain most from AI
ChatGPT compressed productivity distribution — low-ability workers gained most (40% time reduction, 18% quality increase). May reduce skill premium over time.
Know a study we’re missing? Suggest a source for this prediction.