The United States, China, and the United Kingdom are the countries most prepared to foster AI, according to a new report by the Stanford Institute for Human-Centered AI.
Stanford HAI’s Global Vibrancy Tool analyzed research papers, private investments, patents, and infrastructure to determine the rankings. Drawing data from 36 countries, it combined 42 AI-specific indicators to deliver a comprehensive and quantitative assessment of global AI leadership.
“AI has increased as a topic of national interest for countries across the globe, and correspondingly narratives about which countries lead in AI have become more prominent than ever,” Nestor Maslej, the AI Index project manager, said in a press release.
Top 10 countries for AI readiness
According to Stanford researchers, the countries leading in AI development are:
- United States
- China
- United Kingdom
- India
- United Arab Emirates
- France
- South Korea
- Germany
- Japan
- Singapore
Countries with government support for AI sit at the top of the list
The index divided its analysis into three sub-categories:
- Innovation
- Economic competitiveness
- Policy, governance, and public engagement
These subcategories allowed for additional theories about how AI innovation can be fostered. For example, countries farther down the innovation index had scores closer together to one another than the wider gaps in the top three. This suggests that “modest investments in AI capacity could lead to substantial shifts in rankings,” the report stated.
Additionally, Stanford HAI highlighted that making AI “a political priority” likely affects the speed at which a country builds AI readiness. For example, the United Arab Emirates’s investment in research institutions helped it achieve its fifth-place ranking.
The U.S. has the world’s most robust AI ecosystem and has set itself apart from the other “superpower” noted in the report: China. For example, the U.S. scored 70 on the weighted index calculation, while China followed at 40. The U.S. also saw significantly more private investment in AI ($67.2 billion) than China ($7.8 billion).
Overall, the U.S. leads in:
- Notable machine learning models
- Private investment in AI
- AI-related job postings
- Newly funded AI startups
- AI-related mergers and acquisitions.
“The [U.S.’s] strengths lie in its robust R&D ecosystem, advanced infrastructure, and active policy and governance frameworks,” according to the report.
However, China has the most AI-related patents.
“China’s focus on developing cutting-edge AI technologies and increasing its R&D investments has positioned it as a major AI powerhouse,” the report stated.
Elsewhere, the United Kingdom, sitting in third place, was notable for hosting the first AI safety summit in 2023.
SEE: Australia’s AI industry strength may be creating, implementing, and interpreting AI use policies.
The AI Global Vibrancy tool can be adjusted to explore different factors
The project isn’t just a static report but a tool intended to “encourage improvements in AI-related data collection efforts,” said Vanessa Parli, director of research at Stanford HAI. Business leaders can adjust weights and assign custom values to indicators on the Global AI Vibrancy Ranking tool.
“We are optimistic that the tool will encourage improvements in AI-related data collection efforts,” Parli said in the press release. “In fact, we are crossing our fingers that the tool can open the door to new data-driven collaborations between HAI and countries across the world.”
The index aims to measure where resources should be located, how policies should be developed, and how investments should be steered.
