2025年人工智能人才报告_45页_2mb

AI Talent Report Summary

Executive Summary

• Key Trend: The number of AI-relevant graduates in the U.S. has significantly increased over the last decade.
• Demand Increase: Job postings for AI software roles grew by 257% from 2015 to 2023, outpacing supply growth.
• International Comparison: China produces more AI graduates at the bachelor's and PhD levels, but the U.S. leads in high-quality research and frontier AI development.
• Policy Considerations: Three broad approaches to increase talent supply: expanding domestic education, addressing immigration barriers, and enhancing post-grad allocation.

Core Findings

1. Degree Distribution

   • Software and hardware AI talent are categorized based on educational degrees.
   • Engineering (41.9%) and Computer Sciences (36.5%) dominate AI-related degrees.
   • Public universities produce a disproportionate share of AI graduates (71% of PhDs).

2. Supply vs. Demand

   • AI talent demand grows faster than supply.
     • Software: Job postings grew at 31.7% annually (2015–2022), but degree growth was 8.2%.
     • Hardware: Supply growth barely kept pace with projected demand.

3. International Context

   • China leads in total AI graduates but the U.S. excels in top-tier research and top AI labs.
   • Non-U.S. citizens make up 59% of AI PhD graduates in the U.S., with many returning to China post-graduation.

4. Policy Relevance

   • Immigration reforms and incentives to retain graduates could bolster supply.
   • Expanding AI-focused degree programs and improving workforce data are key priorities.

Key Conclusions

• The U.S. must address supply-demand gaps to maintain leadership in AI.
• While China produces more quantities, the U.S. leads in quality and innovation dominance, but this gap narrows in skilled research.