‘The main constraint on AI adoption will not be tools or investment — but the availability of skilled professionals who can implement these systems at scale’
North America holds a commanding lead over the rest of the world in AI talent, with the United States scoring a perfect 100 and Canada climbing to second place globally with a score of 58.345 — more than 20 points clear of any European economy — according to a new international index.
Every other country, including established technology powers, such as Germany, the United Kingdom and Australia, trails well behind.
The 2026 Global Workforce Specialization Index, produced by analytics firm Ataraxis, covers 32 countries and six professional fields. India is the only country that comes close to Canada, scoring 57.57, but it is edged out on the density and international readiness measures that matter most to employers hiring at scale. Germany, the next major contender, scores significantly lower still — underlining just how wide the gap is between North America and the rest of the world.
The U.S. operates in a tier of its own. Canada leads every other country, but its score of 58.345 against the U.S. perfect 100 reflects a gap that shapes hiring competition, compensation benchmarks and talent retention pressure for Canadian organizations daily.
Why the U.S. sits in a league of its own
The U.S. scored a perfect 100 on all three measures behind the Ataraxis index composite, which weights absolute workforce capacity at 40%, capacity density relative to population at 35% and service-delivery readiness at 25%. Nobody else comes close to that sweep. India’s absolute capacity score of 81.9 is the highest outside the U.S., but its density score of 6.6 drags its total down, and Canada’s 39.9 on density still trails the U.S. mark by more than 60 points.
The U.S. also posted the only perfect score in any of the six fields the index measured, and it finished first in AI, healthcare, finance and legal services. It placed second in IT and software, behind Germany, and in customer support, behind the Philippines.
Hiring data points the same way. Commercial real estate firm CBRE reported in its 2026 Scoring Tech Talent report that the number of AI-skilled tech workers across the U.S. and Canada rose 45% year-over-year to 751,000 as of June 2026, though CBRE said job additions in the biggest markets came from both new positions and existing jobs converted to AI-skilled roles. AI-related roles made up 31% of U.S. tech job listings that month, up from 11% in 2022.
“There’s no denying that AI is reshaping the tech industry and job growth in general,” said Colin Yasukochi, Executive Director of CBRE’s Tech Insights Center in San Francisco, in a news release. “Growth of AI jobs in the U.S. far outpaced the broader tech-talent category, which expanded by 1.8% last year even as the tech industry cut some non-AI jobs.”
The talent is concentrated, too. The San Francisco Bay Area, New York City, Seattle and Washington, D.C. hold 37% of U.S. AI jobs, according to CBRE, so even the pool the index ranks first sits in a handful of markets.
What the U.S. lead means for HR teams
A deep talent pool doesn’t mean AI is everywhere in American workplaces. The Census Bureau’s Business Trends and Outlook Survey found that AI use among U.S. businesses stayed between 17% and 20% from December 2025 through May 2026, and reached 19.8% in the data collected through May 3. Larger employers were further along, with 37% of firms with at least 250 employees reporting AI use. The Census Bureau widened its question in November 2025 to cover AI use in any business function, so those readings can’t be compared directly with earlier ones.
The payoff looks uneven as well. HRD America has reported that AI’s productivity gains are concentrated in a few AI-heavy U.S. industries, where output per worker is climbing while payrolls shrink.
CHROs described similar unevenness inside their own organizations. In the third-quarter 2026 CHRO Confidence Index from The Conference Board, a New York-based research group, 82% said AI had changed their workforce-planning process, though half said the change was slight and only 19% said anticipated AI effects were built into workforce and financial planning across the enterprise. Just 4% said their organization was very prepared to manage AI-driven workforce change over the next two years. The biggest barriers were difficulty predicting AI’s workforce impact (41%), limited AI skills in the current workforce (39%) and an unclear AI strategy (31%).
“AI is clearly becoming part of workforce planning,” said Robin Erickson, PhD, Head of Human Capital Research at The Conference Board, in a news release, “but most organizations are still working through what it means in practice.”
A bigger pool of AI specialists doesn’t fix that on its own. HRD America has reported on why deploying AI without redesigning the work won’t hold up, and the people employers hire still need more than technical fluency, since most executives want AI fluency paired with life skills in the people they hire and promote. The U.S. has the deepest AI talent pool in the index, and turning it into business-wide results is still up to employers.
