Global AI Competition Intensifies as China Overtakes U.S. and EU Struggles to Keep Pace According to Recent Analysis
In a recently published report by the Center for Data Innovation, it has been revealed that the European Union (EU) is falling behind in the global race for Artificial Intelligence (AI) development and use. The report, which assesses AI capabilities in the EU, US, and China using 30 metrics across six categories, paints a stark picture for the EU.
The United States leads the pack with a score of 44.6 points, followed closely by China with 32.0 points. The EU, however, comes last, scoring a mere 23.3 points on a 100-point scale.
The report suggests that China has made significant strides in AI, closing the gap or extending its lead over the United States in more than half of the updated metrics. In contrast, the EU has made progress relative to the US in slightly more than a quarter of the metrics.
One of the key areas where China has seen significant growth is in the number of supercomputers ranked in the top 500 for performance. China now has nearly twice as many as the United States.
Since 2019, China has also surpassed the EU as the global leader in AI research publications. The EU has fallen farther behind in the number of AI-related venture funding deals, AI firm acquisitions, and AI start-ups that have raised at least $1 million.
Daniel Castro, director of the Center for Data Innovation and lead author of the report, attributes the EU's struggles to a lack of trust in AI among many Europeans. He argues that the EU and its member states must promote AI rather than constrain it through regulatory policies.
To address this challenge, the report offers several key recommendations for European policymakers. These include developing a unified European AI strategy that boosts innovation and competitiveness, investing heavily in AI research and development, enhancing AI skills and education across Europe, and ensuring the integration of AI into existing European industries.
The report also stresses the need for the EU to embrace policies to spur commercial adoption of AI, especially by mid- and large-sized firms. Policymakers are also urged to expand public research institutes and provide better and more consistent R&D tax incentives.
Without significant policy changes, the report warns that China is likely to close the gap with the United States, and the EU will remain well behind. It is clear that the EU needs to fundamentally rethink its regulatory approach to AI to make it more innovation-friendly and ensure its continued global leadership in this rapidly evolving field.
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