Policy · Updated 14 Oct, 12:24 am IST
Ifo says tighter AI data rules could cost Germany €155 billion annually
Why it matters for readers: If you follow tech policy, this shows how data rules can shape a country's AI competitiveness and economy.
- Ifo estimated Germany could lose €155 billion a year in additional value added if access to AI training data is tightened.1
- The projected €155 billion loss breaks down into slower AI adoption (€45 billion), weaker models (€75 billion), lower research output (€25 billion) and reduced AI development in Europe (€10 billion).1
- Ifo and industry voices said access to diverse, high-quality training data is essential for competitive AI and unnecessary restrictions would hinder development.1
- Aleph Alpha CEO Ilhan Scheer urged Europe to fully use its existing legal framework and preserve the text-and-data-mining exemption for commercial use.1
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