Some of the world's most influential tech billionaires Sam Altman, Satya Nadella, Sundar Pichai, Elon Musk, Jensen Huang among others have come together to make a rare joint appeal to US policymakers. The tech leaders have argued that the country's future in artificial intelligence depends on embracing open-weight AI models.In a newly released letter titled "Open Weights and American AI Leadership," a coalition of 25 leading technology companies and organizations says the US should support an AI ecosystem where advanced models are more widely available rather than relying only on a handful of closed, proprietary systems.ALSO READ: Sam Altman says ‘we are now in the singularity’The letter argues that America's AI leadership will be strengthened by giving startups, universities, businesses, and researchers broader access to cutting-edge AI technology.The proposal has received public backing from some of the biggest names in artificial intelligence, including OpenAI CEO Sam Altman, Microsoft CEO Satya Nadella, Google CEO Sundar Pichai, Nvidia CEO Jensen Huang, and Tesla and xAI CEO Elon Musk.What are open-weight AI models?Unlike closed AI systems, open-weight models allow developers and businesses to download the model’s trained parameters—or ‘weights’—and run them on their own infrastructure. This gives organisations greater control over how the model is used, modified, and deployed without depending entirely on the company that created it.ALSO READ: Meteor showers to light up the UK night sky as Delta Aquariid peaks this week after the Buck Moon. Here's when and how to watch both celestial events at their best. Open-weight models can typically be downloaded, inspected, customized, and run by developers and organizations on their own infrastructure.According to the coalition, this approach expands access to AI, encourages innovation, and gives organizations greater control over how they deploy the technology while reducing dependence on a single provider.The letter argues that America's AI leadership depends not on one frontier model but on building an open ecosystem that spreads AI capabilities across industries.ALSO READ: 11-year-old Canadian boy Ashton Meyer turned a $10 trash-bin cleaning business into a $700 side hustleSatya Nadella says open-weight models are essentialMicrosoft CEO Satya Nadella endorsed the letter on X, emphasizing the importance of maintaining a balanced AI ecosystem."Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security."His comments highlight the coalition's position that openness and innovation can coexist with security safeguards.Sundar Pichai points to Google's long history with open sourceGoogle CEO Sundar Pichai also voiced strong support, saying Google's work on open-source software and its Gemma AI models reflects the same philosophy.He wrote: "Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind @demishassabis . Onwards!"Google has released several versions of its Gemma family of open-weight models in recent months, making them available to developers worldwide.Sam Altman backs both open and proprietary AIOpenAI CEO Sam Altman also publicly supported the initiative despite OpenAI being best known for its proprietary GPT models.He wrote on X: "i want the US to win in AI both in open source and proprietary models, and i am glad to see this."Altman's statement suggests that he sees room for both approaches as the AI industry continues to evolve.Elon Musk offers his full supportTesla and xAI CEO Elon Musk, who has long advocated for more open approaches to AI development, also endorsed the letter.He simply wrote: "This has my full support."Musk has repeatedly argued that broader access to AI technology can encourage competition and reduce concentration within the industry.Jensen Huang says the world needs both open and closed AI modelsNvidia CEO Jensen Huang used his first post on X to highlight the significance of the initiative.He wrote: "For my first post, I'm sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models."Huang's comments reflect Nvidia's position that both proprietary frontier models and open-weight systems have important roles to play in the future of artificial intelligence.Why the coalition believes open-weight AI mattersThe letter lays out several reasons why policymakers should support open-weight AI models.1. Greater accessThe coalition says startups, researchers, and universities can build advanced AI applications without facing the high costs associated with closed systems.2. More competitionAccording to the letter, broader availability of AI models creates stronger competition among developers, chip makers, cloud providers, and software companies, ultimately lowering costs and accelerating innovation.3. Better controlOrganizations can run AI on their own infrastructure, reducing vendor lock-in while maintaining ownership of their data, workflows, and AI capabilities.4. Improved securityThe coalition argues that greater transparency allows researchers and developers to identify vulnerabilities more quickly and improve cybersecurity through collaborative review and faster remediation.Read the letter hereOpen Weights and American AI Leadership July 24, 2026 In the 1980s, early open-source software pioneers challenged the prevailing belief that software would advance only if companies kept tight control over their code. This movement pushed for a transparent ecosystem where developers around the world could study, modify, and improve software. Software developed by the open-source community now supports most of the internet and underlies systems used by the world’s largest technology companies, as well as the U.S. military and federal agencies conducting scientific research, cybersecurity, and other critical missions. Open source did more than lower the cost of software; it created a shared foundation of knowledge on which generations of American engineers and entrepreneurs built their institutional sovereignty. The United States now faces a similar choice with artificial intelligence.Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector. This is essential for creating opportunities for innovation and prosperity across the country. It requires expanding access to AI, encouraging competition, robust application layers, and giving Americans greater control over the technology they rely on. Open weight models—AI models that anyone can download, inspect, modify, and run on their own infrastructure—are an important part of that foundation because they make advanced AI more accessible, adaptable, and widely available. Open weights expand access to the AI economy. Startups, established businesses, universities, and public institutions can build on advanced models without training one from scratch or paying frontier-model prices for every task.Open weights let every organization match the right model to the right job at the right cost, reserving frontier-scale capability for genuine frontier problems and running efficient, specialized models everywhere else. That discipline is what will make AI economically sustainable as its use scales into the billions of everyday tasks. America wins the AI era by diffusing it into the workflows of factories, hospitals, farms, classrooms, and main street businesses. Open weights also strengthen competition and competition is what keeps the gains of AI broadly shared rather than concentrated in a few hands.By allowing many organizations to build, adapt, and deploy advanced models, open weights create rivalry not only among model developers but across cloud chips, applications, and services. That competition spurs innovation, drives down costs, and distributes the benefits of AI broadly across our economy. Open weights also give customers greater control. As organizations invest in AI, they want to know that they will not become locked into a single provider or lose the knowledge and capabilities they build over time. Open weight models help provide that assurance by allowing organizations to control their own data, evaluate and adapt models to their own needs, and deploy them wherever their business requirements demand. And as organizations create value with AI, open weights allow them to own that value through self-improving models, specialized capabilities, and accumulated knowledge that drive American sovereignty and prosperity. To be sure, open weights carry real and distinct risks. Once released, the weights are beyond the original developer’s control, and modified versions are difficult to trace or reverse. But the right response to this risk is not to prohibit open weights. In a world where cybersecurity attackers use advanced AI, defenders need access to models with comparable capabilities so they can detect, simulate, and respond to emerging threats. Open models broaden defensive capability, increase transparency, and allow vulnerabilities to be discovered and remediated across many teams. In fact, openness may be one of the most important paths to AI safety and security. Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect. And concentrating advanced AI capabilities behind a small number of closed models compounds that risk. It results in a small number of single points of failure, weakens competition, and leaves critical technology in the hands of a few providers. Open weight models, on the other hand, allow a broad community of researchers and developers to examine their behavior, identify vulnerabilities, develop safeguards, and improve them over time. Just as open-source software demonstrated that transparency can be more secure than obscurity, AI safety may depend on giving more people the ability to test and strengthen the models on which society relies. It allows for rigorous benchmarking and evaluation, red teaming, and protections tied to real and demonstrated harms rather than assuming that closed systems are safer by default. A strong AI ecosystem is not a foregone conclusion. Policymakers have an important opportunity to act. This includes expanding access to compute for startups and researchers, investing in shared training assets (datasets, tools, evaluation frameworks), and keeping the frontier plural by avoiding premature restrictions on open models that stifle competition or drive innovation overseas. These measures must also look at how strong application layers can expand sovereign use of AI across the economy. In shaping this ecosystem, policymakers should be careful not to conflate legitimate model-development techniques with misappropriation. Distillation, or the practice of using one model’s outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation. It reflects a long tradition of learning from, building upon, and improving existing technologies, a tradition that has helped drive innovation since the rise of the open-source software movement. By contrast, unlawful efforts to extract value from closed models raise legitimate concerns. Those concerns should be addressed through targeted legal and commercial frameworks rather than sweeping restrictions on techniques that play an important role in AI innovation. The age of AI can be one of prosperity. With the right choices, open weight AI can expand opportunity, strengthen competition, extend American technological leadership, mitigate risk, and ensure that the benefits of this extraordinary technology are shared broadly across our economy. That future is worth building, and the United States should lead in building it.