AI 指数AI Index

Artificial intelligence (AI) is regarded as the core driving force of the fourth industrial revolution following the steam engine, electricity, and information technology, and its level of development is increasingly a key yardstick of a nation's comprehensive scientific and technological strength and future competitiveness. There are various international approaches to measuring a nation's AI strength, of which the Stanford HAI "AI Index Report" is the most widely known. CPPPS does not directly reproduce its positions; instead, based on underlying public data (number of AI papers, patents, computing power, AI talent, AI enterprises, and large models), it independently designs a "Scale + Quality + Innovation + Contribution" four-dimensional model to measure the AI composite index of major countries and regions worldwide.

The uniqueness of this index lies in the newly added "Contribution" dimension (AI industrialization / empowering the real economy): large scale does not equal strong capability, and strong capability does not equal high value—AI must ultimately land in industry, in the real economy, and in people's livelihood. China leads globally in AI application scenarios and industrial penetration, and this dimension is precisely where CPPPS differs from international lists that rank only by papers and computing power.

This edition evaluates 20 major countries and regions worldwide, covering the United States, China, the United Kingdom, Germany, France, Japan, South Korea, Canada, Israel, Singapore, India, Switzerland, Sweden, the Netherlands, Australia, Italy, Spain, Russia, Finland, and the United Arab Emirates. Evaluation results: the United States, China, the United Kingdom, Germany, and Japan rank in the top five. The overall pattern is a "US-China dual core, with Europe, Japan and South Korea as multiple additional points, and India catching up rapidly".

This ranking is based on approximate values from public knowledge, calibrated by official public data, uniformly marked "subject to official sources", permanently free and public, and is provided for research and reference only.

Measuring a nation's AI strength cannot rely on a single indicator: many papers may mean "large but not strong", strong computing power may mean "asset-heavy with little originality", and wide application may mean "shallow foundations". This algorithm therefore characterizes it comprehensively across four dimensions:

The relationship among the four dimensions can be summarized as: Scale is the foundation, Quality is the height, Innovation is the staying power, and Contribution is the destination. None of the four can be dispensed with, so a weighted sum is used rather than a single-scale ranking.

All underlying indicators are first range-standardized (min–max) to [0,1]; among them, the four wide-ranging indicators of papers, patents, computing power, and enterprises are log-transformed before standardization to prevent leading countries from monopolizing the normalized range and suppressing catching-up countries:

The four sub-dimension scores are as follows:

The composite AI index is the weighted sum of the four items (weights totaling 1.00):

That is: Scale 30% + Quality 25% + Innovation 25% + Contribution 20%.

Mainstream international AI lists generally center on papers, citations, investment amounts, and computing power, measuring "capability" rather than "value". CPPPS adds the "Contribution" dimension and assigns it a 20% weight: the ultimate significance of AI lies in empowering the real economy, improving industrial efficiency, and enhancing people's livelihood. China possesses the world's most complete manufacturing system and the richest application scenarios, leading globally in the penetration depth of "AI + manufacturing / finance / healthcare / security / agriculture", and therefore scores highest on this dimension; the United States follows closely with its AI-native applications and cloud-service ecosystem. This dimension ensures that countries that "use AI and use it well" are not overshadowed by indicators of those that "build AI", and makes the ranking more consistent with real productivity contributions.

Data on papers, patents, computing power, talent, enterprises, large models, and industrialization are approximate values from public common knowledge (general understanding synthesized from academic statistics, patent databases, computing-power research, and industry reports), uniformly marked "subject to official sources"; some relative indices use the United States or China as a 100 baseline. This model does not include dimensions that are difficult to quantify, such as AI governance, ethics, open-source contribution, and talent-cultivation quality, and the approximate values contain errors; the ranking is for research and reference only and does not represent any official position.