How the United States is building a global AI model through open innovation, flexible governance, and strategic partnerships.
By Giriraj Agarwal, SPAN Magazine, U.S. Embassy New Delhi
The rapid rise of artificial intelligence (AI) is not just a technological shift; it is defining how economies grow, how societies function, and how global influence is exercised. As different models of AI development and governance take shape, the United States is advancing a distinct approach—one that emphasizes open, private-sector-led innovation and light-touch governance, enabling scale through infrastructure and partnerships.
At the core of this model is a system that has long driven U.S. leadership in emerging technologies. “The United States has long been at the forefront of AI innovation, driven by the strength of our free markets, world-class research institutions, and entrepreneurial spirit,” says an economic officer at U.S. Embassy New Delhi. “The federal government’s role is to create the conditions where private-sector-led innovation can flourish.”
Framing this approach is America’s AI Action Plan , built on three pillars: innovation, infrastructure, and international diplomacy and security. “Cutting across all three are core principles: American workers are central to the Administration’s AI policy; AI systems must be free from ideological bias and designed to pursue objective truth; and we must prevent our advanced technologies from being misused or stolen by malicious actors,” the officer says.
Why the U.S. model works
The U.S. approach to AI innovation is rooted in collaboration across government, industry, start-ups, and academia, with the Federal government acting as an enabler rather than a controller. Through partnerships with agencies such as the National Institute of Standards and Technology (NIST), the White House Office of Science and Technology Policy , and the National Science Foundation’s National AI Research Resource pilot , the government is working to expand access to computing, models, data, and software resources.
At the same time, policymakers are clear that maintaining leadership requires avoiding unnecessary constraints. “To maintain global leadership in AI, America’s private sector must be unencumbered by bureaucratic red tape,” the economic officer says. Yet this flexibility is paired with efforts to build trust. “Sensible regulatory and non-regulatory policy frameworks that safeguard the public interest help to earn the public’s trust in AI,” he adds, pointing to measures that protect children, respect intellectual property, and safeguard workers and communities.
This balance between openness and accountability extends to the regulatory philosophy itself. As Vice President J.D. Vance has noted , restricting AI development with onerous regulation “would not only unfairly benefit incumbents… it would mean paralyzing one of the most promising technologies we have seen in generations.”
Open-source and open-weight AI models are also part of the U.S. approach. They support both commercial and government adoption, particularly where sensitive data cannot be shared with closed-model vendors. Such models remain essential for academic research that depends on access to model weights and training data. As the officer explains, “The White House AI Action Plan calls for the federal government to create a supportive environment for open models and partner with leading technology companies to increase the research community’s access to world-class private sector computing, models, data, and software resources.”
Building the foundations of AI
Beyond software and models, AI leadership increasingly depends on physical infrastructure. “AI will require new infrastructure—factories to produce chips, data centers to run those chips, and new sources of energy to power it all,” the economic officer says.
To that end, the United States is working to bring semiconductor manufacturing back to U.S. soil, reinforcing technological leadership while reducing vulnerability to external disruptions. Secure and resilient supply chains are central to this effort as AI systems become more deeply integrated into economic and national security frameworks.
At the same time, this infrastructure push extends beyond U.S. borders. For countries building their own capabilities, “American AI companies and open-source models can enable local training and fine-tuning with linguistic and cultural adaptation,” he explains. “American companies can also build large, independent AI infrastructure with secure and robust supply chains that minimize backdoor risk.”
This outward-facing approach is already shaping collaboration with India, where U.S. firms are contributing to the expansion of digital infrastructure, including data centers, as part of a broader push to scale trusted AI systems globally.
Scaling through TRUST
India is key to the United States’ efforts to extend its AI ecosystem globally. The U.S.-India TRUST initiative is catalyzing collaboration across sectors including AI, semiconductors, quantum technologies, energy, and space.
“As a central pillar of the TRUST Initiative, the leaders committed to a U.S.-India Roadmap on Accelerating AI Infrastructure, identifying constraints to financing, building, powering, and connecting large-scale U.S.-origin AI infrastructure in India with milestones and future actions,” the economic officer says, discussing the joint statement following the meeting between President Donald J. Trump and Prime Minister Narendra Modi in February 2025. Since then, U.S. companies have contributed to further digital infrastructure buildouts in India.
The India AI Impact Summit marked a significant step in this direction, with the United States unveiling initiatives designed to expand global adoption of the American AI stack. These include incorporating partner nations’ leading AI companies into customized export frameworks through the National Champions Initiative, deploying technical expertise through the U.S. Tech Prosperity Corps , expanding financing through institutions such as the World Bank, the Export-Import Bank, and the U.S. International Development Finance Corporation, and advancing interoperable standards through NIST’s AI Agent Standards Initiative.
Talent, adoption, and the next phase
As AI adoption accelerates, the United States is also focusing on long-term readiness. “It is the policy of the United States to promote AI literacy and proficiency among Americans by integrating AI into education, training educators, and fostering early exposure to develop an AI-ready workforce and the next generation of American AI innovators,” he says.
At the same time, government institutions are integrating AI into their own operations. “We are harnessing the power of data and AI to strengthen diplomacy, improve mission effectiveness, and drive operational efficiency,” he adds.
The message, he says, is clear. As Secretary of State Marco Rubio has stated, “Winning the AI race is non-negotiable.”