US Tops IMD 2026 AI Readiness Ranking, Dethroning Singapore

By Daniel Okafor

The United States has overtaken Singapore and the Netherlands to claim first place in IMD's 2026 World Digital and AI Ranking, published Thursday by the International Institute for Management Development. American companies kept their grip on corporate AI leadership at the same time, yet the study found no automatic link between a country's digital readiness and the AI strength of its homegrown firms.

Nvidia retained its position as the world's most AI-mature company, ahead of Alphabet, Microsoft, Japan's SoftBank Group and South Korea's Samsung Electronics.

What separates national readiness from corporate maturity?

IMD's 2026 World Digital and AI Ranking assessed 70 economies using 88 criteria: 51 statistical indicators and 37 measures from IMD's Executive Opinion Survey. The criteria grouped into five factors — governance, technology and infrastructure, efficiency, workforce development, and values.

The US won on the strength of its technological ecosystem, including investment, innovation, research and commercial capacity.

The gap between the two rankings is the study's core finding. Some highly digitally developed economies produce few global corporate AI leaders, while companies based in lower-ranked economies have joined the world's most advanced AI players. A related IMD white paper, "The New Geography of AI Power," examined both rankings together and reached the same conclusion: national conditions alone do not determine corporate AI success.

"A country's readiness is neither a ceiling nor a floor for its companies," said Michael Wade, professor of strategy and digital and director of the Global Center for Digital and AI Transformation at IMD.

Arturo Bris, professor of finance and director of the IMD World Competitiveness Center, said the two rankings should be read together. National conditions shape what companies can achieve, while major corporations increasingly influence the options available to governments.

How do the leading economies differ?

China ranked seventh overall with a different model: strong political direction combined with efficient practices and agility. Despite weaker digital governance scores, China ranked first in efficiency and second in technology and infrastructure.

European economies in the top ten took a third route, centered on consumer protection, fairness and safety. The Netherlands ranked third, Denmark fourth, Sweden sixth, Finland eighth and Switzerland ninth. In the governance sub-factor, Finland took first place, followed by the Netherlands, Denmark and Sweden.

Their approach classifies AI systems by risk, assesses them before deployment and requires transparency and accountability. The EU's AI Act, now being implemented in phases, is the most developed example and is expected to shape standards beyond Europe.

Bris said the top ten economies differed sharply in method. Some rely on private capital and light regulation, some use state intervention and subsidies, and a third group builds institutions and trust first. All three reached the top ten.

What does the corporate index show?

IMD's 2026 AI Maturity Index assessed the world's 330 largest public companies on AI capabilities, investments and patent filings. Sixteen of last year's top 20 held their positions. SoftBank and Samsung entered the top five, displacing Meta Platforms and Amazon.

Asian companies accounted for 22 of the top 50 in 2026, up from 10 in 2025. Japanese and South Korean firms held 29 percent of identified AI patents; Chinese companies held another 18 percent. US companies still dominated AI deal value, capturing 78 percent of the total in the index.

AI maturity is also spreading beyond tech. Among the 50 most AI-mature businesses, consumer durables companies rose from two to seven, capital goods firms from two to five, and telecom operators from three to six. Financial services lost ground, largely because most banks and insurers hold no AI patents. Pharmaceutical companies also fell behind despite continued investment.

Does AI maturity pay off yet?

No — at least not on the profit line. Wade said the top 20 AI-mature companies recorded a three-year average profit rate of 24.8 percent, against 28.5 percent for bottom-tier companies. The study found a weak but statistically significant inverse relationship between AI maturity and profitability.

One explanation, per Wade: companies investing aggressively in AI sacrifice near-term profitability for longer-term growth, while financial markets keep rewarding those investments.

The combined findings point to a harder task ahead. Businesses must convert national advantages and AI spending into durable capabilities as geopolitical fragmentation reshapes competition. Wade said competitive companies will need strategies to deliver what they promise, keep sufficient control over their technology infrastructure, and earn the trust of people affected by their AI systems.