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Stanford HAI

The Stanford AI Index Report 2026

Measuring trends in Artificial Intelligence

You can't see the whole labor market without looking at AI.


Understanding how AI has already reshaped the world of work is the first step to navigate what comes next. Job postings and skills data cut through the hype, offering a clear signal of where AI is actually taking hold. When new AI skills begin to appear in job postings, it indicates that organizations have moved beyond experimentation and are making real, strategic investments in the technology.

The annual AI Index Report from the Institute for Human-centered Artificial Intelligence (HAI) at Stanford University tracks, aggregates, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, broadly sourced data so that for policymakers, researchers, executives, journalists, and the general public can develop a more thorough and nuanced understanding of this complex field.

The report aims to be the world’s most authoritative source for data and insights about AI—and for where it intersects with the labor market, Stanford has turned to Lightcast. Drawing on billions of job postings collected daily—analyzing demand signals, skills, and workforce shifts in real time—Lightcast identifies emerging patterns long before they appear in traditional statistics, offering an early view into how AI is transforming work globally.

Report Highlights:

  • AI skills are now mentioned in 2.5% of all US job postings. This is up 55% compared to last year, 72% compared to 2022 and 297% compared to a decade ago.

  • Mentions of the "Agentic AI" skill cluster in job postings increased over 280% in just one year. This cluster jumped up from 0.06% of postings in 2024 to 0.23% in 2025, representting roughly 90,000 job postings in the US.

  • AI distribution varies dramatically both within countries and across them. Singapore has the highest share of AI job postings(nearly 5%) among countries, while within the US, Washington, D.C., has a higher concentration than any state.


Report Highlight

AI Skills Shift Toward Execution, Not Experimentation

As AI moves toward integration into more workflows in more business functions (as opposed to the high-tech fringe where it operated until recently), skill demand has evolved in response. Instead of focusing on technological breakthroughs, postings for AI jobs increasingly request skills that emphasize building and managing systems at scale.

Python was the most in-demand specialized skill, showing up in 258,674 postings—up 391% from the 2013–15 baseline and nearly 30% from 2024. Some of the fastest long-term growth came from deployment-oriented capabilities such as Amazon Web Services, scalability, and workflow management. This indicates AI is moving beyond experimentation and into infrastructure, operations, and execution.

Top 10 specialized skills in 2025 AI job postings in the United States
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Report Highlight

Agentic AI Emerges as a Hiring Signal

This year, Lightcast added Agentic AI as a new AI skill cluster, bringing the total number of AI clusters tracked in the Stanford AI Index to 10 and the total AI skills monitored to more than 300. The update includes 24 newly added skills and reflects a visible shift in employer demand.

Many of these skills saw enormous growth from 2024 to 2025, including Agentic AI itself, AI Agents, and LangGraph. By contrast, ChatGPT, Conversational AI, and Chatbot all saw a decrease from 2024 to 2025, reflecting how AI use cases and applications have expanded well beyond the chat interface.

Share of AI Agent Skills in AI job postings

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Report Highlight

Global Growth

Demand for AI talent continued to rise around the world, with AI skills claiming a larger share of overall job postings in market after market. Singapore led the field, with 4.7% of all postings mentioning AI skills, followed by Hong Kong (3.5%), Luxembourg (3.4%), and Spain (3.3%). The United States reached 2.6%, ahead of Chile (2.4%) and the United Kingdom (1.9%). The broader story is one of continued international growth—but also clear differences in intensity. While AI has become a global workforce trend, some economies still move much faster than others in translating that momentum into labor-market demand.

Share of AI job postings by country
Report Highlight

AI Talent Concentrates in Large States

AI hiring in the United States remains highly concentrated in a small number of established hubs—and that pattern has held steady over time. California continues to lead by a wide margin, with 170,881 AI job postings in 2025 (17.18% of the national total), followed by Texas (80,547; 8.10%) and New York (66,029; 6.64%). Together, these states account for roughly one-third of all AI hiring in the country. While other regions are seeing incremental growth, the overall geography of AI demand has not fundamentally shifted.

However, some smaller markets, such as Washington, D.C. (6.18% of postings) and Delaware (4.43%), stand out for their high concentration of AI skills relative to their total job markets.

Percentage of US states' AI job postings
Fault Lines

In An AI World, The Old Rules Don't Apply.

Artificial Intelligence is one of the three "Fault Lines" permanently reshaping the global labor market. Every organzation and region will be affected differently. Explore the research to see what you can do to prepare.

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AI Insight Built For You

The AI Index shows where the world is heading. We show what it means for you. Lightcast experts are ready to generate detailed AI research for your region, industry, or organization using the same models and techniques we used for Stanford—grounded in real labor market data. We assess readiness, surface risk, benchmark your position, and map a clear talent strategy, so that you know where to focus and what to do next.

Are You AI Ready?

See how Lightcast can help.

Stage Discovery – Build a Shared Fact Base Alignment – Make Future-Forward Changes Impact – Measure Against Peers Future Stage: Synthesize a Talent Strategy Assessments Readiness Risk Benchmarking Talent Strategy Government Gauge the region’s appetite for and adoption of AI skills  Anticipate AI-driven disruption by identifying where job creation or job loss is most likely Benchmark the region’s AI position against peers competing for similar talent Develop AI talent, career pathways into AI jobs, and brain drain/gain of AI talent Education and Training Understand which postsecondary programs and workforce training are most at risk  Anticipate the potential effects of AI on program enrollments  Compare the state’s education and workforce development AI profile vs. peers Set targets for how many grads enter AI-enabled jobs and advertise AI skills Industry Assess how AI is reshaping skill needs across functional job areas Anticipate how occupation-level staffing is likely to change because of AI Benchmark the share of AI company leaders with a footprint in region Develop a market-informed strategy for whether to train or recruit for AI talent needs


In Good Company

Lightcast has been contributing to Stanford’s annual AI Index Report since 2021, alongside several Analytics and Research Partners. Others include Accenture, GitHub, LinkedIn, McKinsey & Company, and the International Federation of Robotics.

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