This week’s Senate hearing on U.S. competitiveness in artificial intelligence emphasized that the country is in a race not only with China but with the entire world. This involves not just technological advancement but also bolstering national security and shaping the global economy of the 21st century.
The infrastructure for this new world will rely heavily on silicon, steel, and electricity. The capability of the U.S. to lead in AI hinges on whether we can build our computing infrastructure quickly enough to fully utilize our AI potential and maintain an edge in competition.
AI-focused cloud computing infrastructure requires a radically different approach from the usual generic cloud services. The demands of AI workloads necessitate trillions of calculations happening at once, extraordinary computing power, advanced cooling solutions, state-of-the-art chip technology, ultra-fast networking, and rapid storage options. Our current general-purpose clouds simply weren’t designed for that. Running a modern economy with outdated infrastructure is, to put it mildly, inadequate.
China recognizes the need for robust AI infrastructure as a matter of national strategy, aiming to leverage its technological strengths to rival the U.S. in global influence. If the U.S. wants to maintain its leadership, urgent action is required to build this infrastructure domestically.
CoreWeave operates a network of over 250,000 GPUs distributed across more than 30 data centers, facilitating next-generation AI models. However, achieving this level of infrastructure doesn’t happen overnight. Significant investments and long-term strategic planning are necessary for the U.S. to preserve its leading position and prepare for the future. Key policies must include clear regulatory frameworks, sustainable energy solutions, connections to global markets, and a well-trained workforce to meet the increasing demands of AI—all while ensuring good job creation. Without these efforts, the U.S. risks losing its advantage in AI technology.
The private sector is accelerating its response to these challenges, but it’s not enough on its own. Public policy needs to adapt to create the right environment for growth and innovation.
Patchy regulations can introduce uncertainties that hinder investments. Streamlining the energy permitting process could facilitate the development of essential technologies that drive innovation. Concurrently, enhancing export control mechanisms for national security is crucial. We believe effective policies can strike a balance, allowing U.S. companies to compete in the global AI market while ensuring security.
To cultivate a future where AI is developed domestically, public-private partnerships will be essential for workforce training. There’s a pressing need for more skilled workers, from plumbers to engineers. Earlier this year, CoreWeave partnered with Princeton University, Microsoft, and the New Jersey Economic Development Authority to launch the New Jersey AI Hub, showcasing a collaborative model for academia, industry, and government working together. More initiatives like this are necessary.
Access to the expansive scientific and technical resources within our national research labs could be a game-changer. These labs have significantly contributed to the computing resources that support AI infrastructure. It’s important to invest in fundamental science and enhance research and development, as IDC predicts a $20 trillion opportunity by 2030. Countries that build strong AI infrastructures stand to gain economic growth, national security, and breakthroughs in essential areas like healthcare and education. But this future isn’t assured. Progress is swiftest where collaboration thrives.
The U.S. currently holds an advantage, but this is a pivotal moment for the nation. To sustain that lead, we must treat AI infrastructure as strategically vital, prioritizing domestic investment and employment. This issue transcends technology; it’s fundamentally an American challenge.
