37 AI Talent Shortage Statistics for 2026

Companies worldwide are investing more in AI than ever. The bottleneck is no longer funding or computing power. It’s people. Here are 37 statistics on the AI talent shortage — covering demand, skills gaps, salaries, and what organizations are doing about it.

Top AI Talent Shortage Statistics

• 72% of employers worldwide report difficulty filling roles, according to ManpowerGroup’s 2026 survey of 39,000 employers across 41 countries (ManpowerGroup, 2026 Talent Shortage Survey).

• For the first time, AI skills are the hardest for employers to find globally: AI model and application development (20%) and AI literacy (19%) top ManpowerGroup’s 2026 ranking (ManpowerGroup, 2026 Talent Shortage Survey).

• The global economy added 1.3 million new AI-related jobs in just two years, according to LinkedIn data (LinkedIn via WEF).

• 83% of employers in Germany report talent shortages — the highest among major economies — followed by France (74%), the U.K. (73%), and the U.S. (69%), while China sits lowest at 48% (ManpowerGroup, 2026 Talent Shortage Survey).

• The average machine learning engineer in the United States earns $188,643 per year, according to Indeed salary data (Indeed).

• The number of AI researchers relocating to the United States has dropped 89% since 2017 (Stanford HAI, AI Index Report 2026).

• An estimated 59% of the global workforce will need reskilling or upskilling by 2030, with over 120 million workers at risk of redundancy due to insufficient training (WEF, Future of Jobs Report 2025).

How Widespread Is the AI Talent Shortage?

The shortage is broad. Multiple global surveys, using different methods, point to the same conclusion: most employers cannot find the AI talent they need.

1. 72% of employers worldwide report difficulty filling roles, according to ManpowerGroup’s 2026 Talent Shortage Survey of 39,000 employers across 41 countries (ManpowerGroup, 2026 Talent Shortage Survey).

2. For the first time, AI skills are the hardest for employers to find globally: AI model and application development (20%) and AI literacy (19%) top ManpowerGroup’s 2026 ranking of most difficult-to-fill capabilities (ManpowerGroup, 2026 Talent Shortage Survey).

3. 63% of employers identify skills gaps as the biggest barrier to business transformation for the 2025–2030 period, according to the World Economic Forum’s Future of Jobs Report 2025 (WEF, Future of Jobs Report 2025).

4. Insufficient worker skills are the single biggest barrier to integrating AI into existing workflows, with 53% of organizations raising workforce AI fluency, according to Deloitte’s 2026 survey of 3,235 leaders across 24 countries (Deloitte, State of AI in the Enterprise 2026).

5. 50% of executives worldwide identify a lack of skills as the top barrier to AI adoption, followed by a lack of vision among managers at 43% (WEF Executive Opinion Survey, 2025).

6. 33% of enterprises cite limited AI skills and expertise as the top barrier to successful AI adoption, ahead of data complexity (25%) and ethical concerns (23%) (IBM, Global AI Adoption Index 2024).

How Fast Is AI Job Demand Growing?

AI-related hiring has accelerated across job boards, titles, and geographies.

7. U.S. job postings requiring AI literacy grew 70% year over year in 2025 (LinkedIn via WEF).

8. The global economy added 1.3 million new AI-related jobs in just two years, according to LinkedIn data (LinkedIn via WEF).

9. U.S. job postings mentioning generative AI as a required skill jumped from 16,000 in 2023 to more than 66,000 in 2024 (Lightcast / Stanford HAI, AI Index 2025).

10. AI skills now appear in 2.5% of all U.S. job postings, a 297% increase over the past decade (Lightcast / Stanford HAI, AI Index 2025).

11. Demand for AI skills in the U.S. job market rose 20% between 2023 and 2024, outpacing Canada (4%) and the U.K. (2%) (Lightcast / Stanford HAI, AI Index 2025).

12. Two-thirds of employers plan to hire talent with specific AI skills by 2030, while 40% anticipate reducing their workforce where AI can automate tasks (WEF, Future of Jobs Report 2025).

Which Skills Are Growing Fastest?

AI and big data top the list. Employers still expect significant skill churn by 2030.

13. AI and big data rank as the single fastest-growing skill category, with over 90% of respondents in the top 10 industries expecting these skills to increase in use by 2030 (WEF, Future of Jobs Report 2025).

14. Employers expect 39% of workers’ core skills to change by 2030, down from 44% in the 2023 projection (WEF, Future of Jobs Report 2025).

15. 53% of employers say finding graduates with the right AI skills is their primary challenge, while only 14% of current graduates report high proficiency in applying AI tools (Pearson and AWS, AI Readiness 2026).

16. AI literacy ranked as the No. 1 fastest-growing skill in the United States on LinkedIn’s inaugural 2025 Skills on the Rise list (LinkedIn, Skills on the Rise 2025).

Which Industries Face the Biggest Talent Shortage?

The shortage is not confined to tech. Service sectors and the public sector report similar levels of strain.

17. The information industry faces the highest talent shortage rate at 75%, followed by hospitality (74%) and public sector and health services (74%), with manufacturing at 72% and finance at 71% (ManpowerGroup, 2026 Talent Shortage Survey).

18. 60% of public sector IT professionals identify a shortage of AI skills as their top challenge to implementing AI, about a third higher than the cross-industry average (Salesforce, 2024).

Where Is the AI Talent Shortage Worst?

Shortage rates vary widely by country. Geography shapes the experience more than industry does.

19. 83% of employers in Germany report talent shortages — the highest among major economies — followed by France (74%), the U.K. (73%), and the U.S. (69%), while China sits lowest at 48% (ManpowerGroup, 2026 Talent Shortage Survey).

20. Singapore leads the world in AI hiring intensity with 4.7% of all job postings mentioning AI skills in 2025, nearly double the U.S. rate of 2.6% (Lightcast / Stanford HAI, AI Index 2026).

21. Switzerland leads the world in AI talent density with 110.5 AI researchers and developers per 100,000 inhabitants, just ahead of Singapore at 109.5 (Stanford HAI, AI Index Report 2026).

22. The number of AI researchers relocating to the United States has dropped 89% since 2017 (Stanford HAI, AI Index Report 2026).

23. California posted 170,881 AI job listings in 2025, accounting for 17.18% of the U.S. total, followed by Texas (80,547) and New York (66,029) (Lightcast / Stanford HAI, AI Index 2026).

How Long Does It Take to Hire AI Talent?

Hiring timelines for AI roles are long, and candidates have leverage.

24. Senior AI and ML engineer roles take 8 to 12 weeks to fill with a dedicated recruiter, according to Recruits Lab’s 2026 AI Hiring Report (Recruits Lab, 2026 AI Hiring Report).

25. About 70% of accepted offers for AI engineering roles draw a counter-offer from the candidate’s current employer (Recruits Lab, 2026 AI Hiring Report).

26. AI engineering finalists hold a median of 3.2 active offers at decision time (Recruits Lab, 2026 AI Hiring Report).

27. Engineering and technical roles take a median of 62 days to fill in 2026, compared with 39 days for all nonexecutive positions (Gem, 2026 Benchmarks; SHRM, 2026 Benchmarking).

How Much Do AI Professionals Earn?

AI roles command a clear salary premium over comparable non-AI positions.

28. The average machine learning engineer in the United States earns $188,643 per year, according to Indeed salary data (Indeed).

29. Tech professionals who work on AI earn salaries 17.7% higher than peers in non-AI roles (Dice, 2025 Tech Salary Report).

30. Employers are willing to pay IT workers with AI skills an average of 47% more in salary (AWS / Access Partnership).

How Are Organizations Addressing the AI Skills Gap?

Most employers plan to reskill rather than replace. Training enrollment is surging, but workers say employer support still falls short.

31. 77% of employers plan to reskill and upskill their workforce to work alongside AI by 2030 (WEF, Future of Jobs Report 2025).

32. An estimated 59% of the global workforce will need reskilling or upskilling by 2030, with over 120 million workers at risk of redundancy due to insufficient training (WEF, Future of Jobs Report 2025).

33. Generative AI course enrollments on Coursera surged 195% year over year, surpassing 8 million total enrollments (Coursera, Global Skills Report 2025).

34. Coursera averages 12 new generative AI enrollments per minute in 2025, up from just 1 per minute in 2023 (Coursera, Global Skills Report 2025).

35. Only 46% of workers say their employer provides adequate opportunities to learn new career-relevant skills (PwC, Hopes and Fears Survey 2024).

36. Amazon committed to providing free AI skills training to 2 million people globally through its AI Ready initiative (Amazon).

37. Microsoft pledged more than $4 billion over five years for AI education and aims to help 20 million people earn AI credentials within two years (Microsoft, Elevate).

Conclusion

AI talent gaps affect every region and industry in the data. Hiring is slow, salaries are elevated, and demand keeps growing. We’ll keep this page updated as new numbers come in.