Data Center · OpenAI · China · U.S. · OpenAI
OpenAI’s comments to the NTIA on data center growth, resilience, and security
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OpenAI welcomes the opportunity to respond to the National Telecommunications and Information Administration’s Request for Comments on “Bolstering Data Center Growth, Resilience, and Security.”
Key facts
- With an estimated $175 billion in global infrastructure funds waiting to be committed, the question is not whether that funding will flow
- OpenAI welcomes the opportunity to respond to the National Telecommunications and Information Administration’s Request for Comments on “Bolstering Data Center Growth, Resilience, and Security
- If it doesn’t flow into US-backed global infrastructure projects that advance a global AI that spreads the technology’s benefits to the most people possible, then it will flow to China-backed
- As revolutionary as electricity, and promising similarly distributed access and benefits, AI can power a reindustrialization across the US, extend its global competitiveness, and boost national
Summary
OpenAI welcomes the opportunity to respond to the National Telecommunications and Information Administration’s Request for Comments on “Bolstering Data Center Growth, Resilience, and Security.” The United States leads the world today in development of artificial intelligence because of decisions decades ago to install fiber-optic cables, coaxial lines and other broadband infrastructure that put the country at the forefront of the early digital revolution. As revolutionary as electricity, and promising similarly distributed access and benefits, AI can power a reindustrialization across the US, extend its global competitiveness, and boost national, state and household finances for the long term. With an estimated $175 billion in global infrastructure funds waiting to be committed, the question is not whether that funding will flow, but where. OpenAI recently engaged outside experts to forecast potential job gains and GDP growth that would result from building 5GW data centers in a sampling of states.