On Tuesday, the German think tank IFO stated that if access to training data for artificial intelligence becomes further restricted, Germany could lose an additional €155 billion (approximately $173.43 billion) in value added annually. IFO research shows that by 2034, generative AI could add €440 billion in annual economic value to Germany, but this gain would be reduced by €155 billion if access to training data is limited. IFO expert Oliver Falck said, “Anyone aiming to develop leading European AI models should not impose unnecessary restrictions on obtaining training data. You cannot have both.” (Jinshi)
German think tank warns that AI data restrictions could cost the economy €155 billion annually.
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Summary
The German think tank IFO cited on-chain data in a Tuesday report warning that restrictions on AI training data could reduce Germany’s annual economic value by €155 billion. Generative AI is projected to add €440 billion by 2034, but IFO expert Oliver Falck said inflation data and other constraints could hinder growth. He urged policymakers to avoid limiting access to training data for leading AI models in Europe.
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