Study on strategies and measures and insights for introducing artificial intelligence talents in Japan

In response to the aging population and the need for innovation in science and technology development, Japan regards AI as a key technology to solve social problems. In addition to accelerating the training of domestic AI talents, Japan is also vigorously introducing overseas AI talents. This study sorts out and analyzes Japan’s long-term, annual, and AI-specific strategic planning for the introduction of AI talents, including <italic>Basic Plan for Science, Technology and Innovation</italic>, <italic>Comprehensive Innovation Strategy, Strategic Plan for Artificial Intelligence Technology</italic>, and <bold><italic>AI Strategy</italic></bold>, and explores Japan’s specific implementation measures such as updating the national residence management system, improving the working and living environment of AI talents in Japan, supporting the employment and entrepreneurship of international students in Japan, and promoting international AI cooperation through industry, academia, and research. These strategic planning and implementation measures have greatly alleviated the shortage of labor in Japan’s high-tech industry, driven technological innovation and industrial upgrading, increased the scale and efficiency of Japan’s AI market, and promoted Japan’s integration into the international AI trend at a higher level. This study also discusses the limitations of Japan’s practice of introducing overseas AI talents, including restrictions on assessment systems, scientific research attraction, salary levels, and cultural adaptation. The study hopes to provide insights to help China introduce overseas AI talents and lay an important foundation for the development of AI.

Authors

Publication Details

Journal
Zhongguo Kexueyuan yuankan
Published
2026-02-01
DOI
https://doi.org/10.3724/j.issn.1000-3045.20250409005
Primary Topic
Diverse Interdisciplinary Research Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on strategies and measures and insights for introducing artificial intelligence talents in Japan

Ru Ma, Yujun Su, Fangxin HU
Zhongguo Kexueyuan yuankan
Diverse Interdisciplinary Research Innovations
article

Study on strategies and measures and insights for introducing artificial intelligence talents in Japan

Ru Ma, Yujun Su, Fangxin HU
article en

Abstract

In response to the aging population and the need for innovation in science and technology development, Japan regards AI as a key technology to solve social problems. In addition to accelerating the training of domestic AI talents, Japan is also vigorously introducing overseas AI talents. This study sorts out and analyzes Japan’s long-term, annual, and AI-specific strategic planning for the introduction of AI talents, including <italic>Basic Plan for Science, Technology and Innovation</italic>, <italic>Comprehensive Innovation Strategy, Strategic Plan for Artificial Intelligence Technology</italic>, and <bold><italic>AI Strategy</italic></bold>, and explores Japan’s specific implementation measures such as updating the national residence management system, improving the working and living environment of AI talents in Japan, supporting the employment and entrepreneurship of international students in Japan, and promoting international AI cooperation through industry, academia, and research. These strategic planning and implementation measures have greatly alleviated the shortage of labor in Japan’s high-tech industry, driven technological innovation and industrial upgrading, increased the scale and efficiency of Japan’s AI market, and promoted Japan’s integration into the international AI trend at a higher level. This study also discusses the limitations of Japan’s practice of introducing overseas AI talents, including restrictions on assessment systems, scientific research attraction, salary levels, and cultural adaptation. The study hopes to provide insights to help China introduce overseas AI talents and lay an important foundation for the development of AI.

Zhongguo Kexueyuan yuankanVol. 41(2)
Openalex Percentile: Top 63%
Diverse Interdisciplinary Research Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.