======Who Is Winning the AI Race: China, the EU or the United States?======
The United States leads in AI, with China rapidly catching up, and the EU lagging behind.  \\ 
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(Generated with the help of GPT-4) \\ 
  

^  Quick Facts  ^^
|Report location:  |[[http://www2.datainnovation.org/2019-china-eu-us-ai.pdf|source]]   |
|Language:  |English  |
|Publisher:  |[[encyclopedia:us_cdi_center_for_data_innovation|Center for Data Innovation]]  |
|Authors:  | Eline Chivot,  Michael Mclaughlin, Daniel Castro  |
|Geographic focus:  |China, European Union, United States   |

=====Methods=====
The research method involved analyzing data from various sources, including government reports, industry analyses, and academic papers, to compare the AI capabilities of China, the EU, and the United States.  \\ 
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(Generated with the help of GPT-4) \\

=====Key Insights=====
This report examines the global AI race among China, the EU, and the United States across six metrics: talent, research, development, adoption, data, and hardware. The U.S. leads in absolute terms, but China is making rapid progress and could overtake the U.S. in the future. The EU trails both, particularly in development and adoption. Policy recommendations are provided for each region to improve their AI capabilities.  \\ 
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(Generated with the help of GPT-4) \\ 


=====Additional Viewpoints=====
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<span #categories_box> Categories:  {{tag>China_geographic_scope}} |  {{tag>English_publication_language}} |  {{tag>European_Union_geographic_scope}} |  {{tag>United_States_geographic_scope}} |  {{tag>adoption}} |  {{tag>ai_talent}} |  {{tag>data}} |  {{tag>development}} |  {{tag>hardware}} |  {{tag>patent_applications}} |  {{tag>private_equity}} |  {{tag>research_output}} |  {{tag>supercomputers}} |  {{tag>venture_capital}}   </span>  


~~DISCUSSION~~