AI Watch Estimating investments in General Purpose Technologies: The case of AI Investments in Europe
This technical report by the European Commission's Joint Research Centre provides an original methodology to estimate economy-wide investments in artificial intelligence as a general-purpose technology. It compiles data on ten different expenditure items across ten EU member states for the year 2018, grouped under talent and skills, lab-to-market translation, and data/infrastructure. The findings show that EU AI investments reached between 7.0 and 8.4 billion euros in 2018, with significant variations across countries and strong complementarities between tangible and intangible assets.
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Who issued it
Who it governs
Policymakers, researchers, and business leaders seeking evidence and estimates of AI investments and economic uptake in Europe.
What the document contains
The report covers the methodology, data sources, and estimations for public and private investments in artificial intelligence across EU member states for the year 2018. It examines investments across three main targets: talent and skills, lab-to-market activities, and data/technology infrastructure.
The report does not provide legal regulations, binding obligations, or specific enforcement mechanisms for AI deployment.
- AI is treated as a general-purpose technology whose economic potential lies in modernizing the entire economy.
- Total EU28 AI investments in 2018 were estimated between 7.0 and 8.4 billion euro.
- The majority of AI-related investments target labour and human capital, specifically ICT specialists' compensation.
- France, Germany, and the United Kingdom account for nearly 50% of total AI expenditures in the EU.
- There is a strong positive correlation and complementarity between tangible and intangible asset investments.
· Foreword · Acknowledgements · Executive summary · 1 Introduction · 2 Framework for estimating AI investments in Europe · 3 Estimation methodology and data sources · 4 EU AI investments highlights · 5 AI investments in the EU Member States · 6 Country profiles · 7 Concluding remarks · References · List of figures · List of tables · Annexes
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23