Trend Frontier AI research has shifted from academia to industry
Summary
This trend describes the centre of cutting-edge AI research moving from universities to private companies. Citing Stanford's 2024 AI Index, the report finds that industry built 51 notable machine learning models in 2023 while academia produced only 15, even as 21 models came from joint work. Industry also takes 67% of AI funding in the EU, hires 70% of AI-specialised PhD graduates in the US and produces 96% of large AI models, up from 11% in 2010. The high cost of training frontier models, running from tens to hundreds of millions of dollars, leaves academic institutions struggling to keep pace. The report treats this shift as the starting point for the research gaps it identifies and calls for giving public research the infrastructure to work independently.
Classification
Evidence 1
- The impact of Artificial Intelligence on our societies European Commission, Directorate-General for Research and Innovation (Directorate D - People: Health and Society, Unit D3 - Health and Societal Transitions); edited by Ewa Luger and Marianthe Stavridou page=7;section=2.1 Mapping research on Artificial Intelligence 2026 accessed 2026-07-26
Observed signals 3
Part of issues 4
- IssueAI widens gaps between large and small firms and between rich and poor countries, including inside the EU1 trends · 1 signals
- IssueClimate, sustainability and social good are under-researched, and poorer countries are outside the network1 trends · 0 signals
- IssuePublic research cannot follow frontier AI, and industry contracts bind the academics who do1 trends · 2 signals
- IssueThe EU lags global leaders and is itself split between northern and southern member states1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-29fb47deffed
