The Open Source Imperative: Why America’s AI future Depends on It
Artificial intelligence is rapidly reshaping our world, and the United states stands at a critical juncture. Maintaining leadership in this transformative technology isn’t just about investment; its fundamentally about openness. A thriving, decentralized AI ecosystem, built on open-source principles, is the key to innovation, security, and a future where AI benefits everyone.Why Open source Fuels AI Advancement
For years, the foundation of AI progress – from the core transformer architecture to the tools used for training and evaluation – has been openly shared. This isn’t accidental. Open source dramatically accelerates the pace of development. Here’s how: Rapid Experimentation: Open access allows researchers and developers to quickly build upon existing work, fostering a cycle of continuous advancement. Lower Barriers to Entry: Open-source tools democratize AI development, enabling smaller companies, startups, and individuals to participate. Compounding Innovation: When knowledge is freely shared, innovation builds on innovation, creating a powerful, self-reinforcing effect. A slowdown in this openness threatens the entire AI landscape.if the U.S. cedes ground in open-source AI today, we risk falling behind in the overall AI race.Beyond Innovation: Security, Science, and Democracy
The benefits of open AI extend far beyond simply building better algorithms. Openness and auditability are paramount for: National Security: Open models allow for thorough security assessments, identifying and mitigating potential vulnerabilities. Scientific Discovery: Open access enables researchers across disciplines to leverage AI for groundbreaking discoveries. Democratic Governance: Clear AI systems build trust and allow for public scrutiny, essential for responsible AI deployment. Practical Submission: Organizations – from hospitals to small businesses - can adapt AI to their specific needs without being locked into proprietary solutions.A Growing Momentum, and the Need for More
Fortunately, a wave of U.S.-based initiatives are championing open-source AI. Meta‘s Llama family: Has spawned tens of thousands of variations on platforms like Hugging Face, demonstrating the power of open weights. Allen Institute for AI: Continues to release high-quality, fully open models, setting a gold standard for transparency. Black Forest Labs: A promising startup building open multimodal systems, pushing the boundaries of AI capabilities. OpenAI’s Potential Shift: Even OpenAI is considering releasing open weights, signaling a potential turning point. These efforts are commendable, but they require broader support. The U.S. AI Action Plan is a positive step, but we need a sustained, coordinated push to revitalize a decentralized movement.Time to Recommit to openness
The American AI community must overcome the unfounded fear that “open is not safe.” We need to return to our roots: open science and open-source AI. This requires collaboration between frontier labs, big tech, startups, universities, and non-profits. Let’s restart a movement built on: Openness: Sharing knowledge and resources freely. Competition: Encouraging diverse approaches and innovation. Scientific Inquiry: Prioritizing rigorous research and validation. If we want AI to embody democratic principles, we must build it in the open. And if the U.S. aims to lead the AI revolution, it must lead the open-source AI revolution.Clément Delangue is the co-founder and CEO of Hugging Face. Daily insights on business use cases with VB daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing.Check out more VB newsletters here.
When President Trump released the U.S. AI Action Plan last week, many were surprised to see “encourage open-source and open-weight AI,” as one of the administration’s top priorities.the White House has elevated what was once a highly technical topic into an urgent national concern — and a key strategy to winning the AI race against China.
China’s emphasis on open source, also highlighted in its own Action Plan released shortly after the U.S., makes the open-source race imperative. And the global soft power that comes with more open models from China makes their recent leadership even more notable.
When DeepSeek-R1, a powerful open-source large language model (LLM) out of China, was released earlier this year,it didn’t come with a press tour. No flashy demos. No keynote speeches. But it was open weights and open science. Open weight means anyone with the right skills and computing resources can run, replicate, or make a model their own; open science shares some of the tricks behind the model development.
within hours, researchers and developers seized on it. Within days, it became the most-liked model of all time on Hugging Face — with thousands of variants created and used across major tech companies, research labs and startups. Most strikingly, this explosion of adoption happened not just abroad, but in the U.S. For the first time, American AI was being built on Chinese foundations.
The Open Source Imperative: Why America’s AI Future Depends on It
Artificial intelligence is rapidly reshaping our world, and the United States stands at a critical juncture. Maintaining leadership in this transformative technology isn’t just about investment; it’s fundamentally about openness. A thriving, decentralized AI ecosystem, built on open-source principles, is the key to innovation, security, and ensuring AI benefits everyone.Why Open Source Fuels AI Advancement
For years, the foundation of AI progress – from the core transformer architecture to the tools used for training and evaluation – has been openly shared. This isn’t accidental. Open source dramatically accelerates the pace of development. Here’s how: Rapid Experimentation: open access allows researchers and developers to quickly build upon existing work, fostering a cycle of continuous improvement. Lower Barriers to Entry: Open-source tools democratize AI development, enabling smaller companies, startups, and individuals to participate. Compounding Innovation: When knowledge is freely shared, it sparks a ripple effect of new ideas and applications.When this openness falters, the entire AI landscape slows down. If the U.S. cedes ground in open-source AI today, we risk falling behind in the overall AI race.Beyond Innovation: Security, Science, and Democracy
The benefits of open AI extend far beyond simply building better algorithms. Transparency and auditability are paramount for: national Security: Open models allow for thorough security assessments, identifying and mitigating potential vulnerabilities. Scientific Discovery: Researchers can dissect and understand how AI arrives at its conclusions,accelerating breakthroughs in various fields. Democratic Governance: Openness ensures AI systems are accountable and aligned with public values, preventing “black box” decision-making. You need adaptable AI solutions tailored to your specific needs. Open models empower governments, educators, healthcare providers, and small businesses to do just that – without being locked into proprietary systems.A Growing Momentum,But More is Needed
Fortunately,a wave of U.S.-based initiatives are championing open-source AI. Meta’s Llama Family: The open-weight Llama models have spawned tens of thousands of variations on platforms like Hugging Face. Allen Institute for AI: Continues to deliver high-quality, fully open AI models. Black Forest: A promising startup pioneering open multimodal systems. OpenAI: Even OpenAI is considering releasing open-weight models, signaling a potential shift. These efforts are commendable, but require amplified support.The U.S. AI Action Plan demonstrates a growing recognition of the importance of open-source AI. Now, we need to translate that recognition into concrete policies and increased funding.Reclaiming Our roots: Open Science and Open Source
It’s time for the American AI community to reject the false narrative that “open is not safe.” We must return to our foundational principles of open science and open-source development. This requires a collaborative effort involving: frontier labs: Leading research institutions driving fundamental AI advancements. Big Tech: Major technology companies contributing resources and expertise. Startups: Innovative companies pushing the boundaries of AI applications. Universities: Educating the next generation of AI talent. Non-Profits: Advocating for responsible and accessible AI development. We can reignite a decentralized movement that secures U.S. leadership, built on openness, competition, and rigorous scientific inquiry. Building AI for a Democratic Future
if you want AI to reflect democratic principles,you must build it in the open. And if the U.S. aims to lead the AI revolution, it must lead the open-source AI revolution. Let’s empower the next generation of builders and ensure that AI benefits all of humanity.Clément Delangue is the co-founder and CEO of Hugging Face.* Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum
The Open Source Imperative: Why America’s AI Future Depends on it
Artificial intelligence is rapidly reshaping our world, and the United States stands at a critical juncture. Maintaining leadership in this transformative technology isn’t just about investment; it’s fundamentally about openness.A thriving, decentralized AI ecosystem, built on open-source principles, is the key to innovation, security, and ensuring AI benefits everyone.Why Open Source Fuels AI Advancement
for years, the foundation of AI progress – from the core transformer architecture to the tools used for training and evaluation – has been openly shared. This isn’t accidental. Open source dramatically accelerates the pace of development.Here’s how: Rapid experimentation: Open access allows researchers and developers to quickly build upon existing work, fostering a cycle of continuous improvement. Lower Barriers to Entry: open-source tools democratize AI development, enabling smaller companies, startups, and individuals to participate. Compounding Innovation: When knowledge is freely shared, it sparks a ripple effect of new ideas and applications. When this openness falters, the entire AI landscape suffers. If the U.S. cedes ground in open-source AI today, we risk falling behind in the overall AI race.Beyond Innovation: Security, Science, and Governance
The benefits of open AI extend far beyond simply creating new technologies. Transparency and auditability are paramount, especially when considering the implications for: National Security: Open models allow for thorough security assessments and vulnerability identification. Scientific Discovery: Open access accelerates research and allows scientists to leverage AI for breakthroughs in various fields. Democratic Governance: Open AI empowers governments, educators, and healthcare institutions to tailor AI solutions to their specific needs, free from vendor lock-in. You deserve to understand how the AI systems impacting your life work. “Black box” AI, shrouded in secrecy, hinders this understanding and limits accountability.A Resurgence of Openness is Within Reach
Fortunately, momentum for open-source AI is building. Several U.S. organizations are already leading the charge: Meta: their llama family of open-weight models has spawned tens of thousands of variations on platforms like Hugging Face. Allen Institute for AI: Continues to deliver high-quality, fully open models for the community. Black Forest: A promising startup pioneering open multimodal AI systems. OpenAI: Even OpenAI is considering releasing open weights, signaling a potential shift in approach. These efforts, coupled with increased public and policy support – as outlined in the US AI Action Plan - can reignite a decentralized movement. It’s Time to Embrace Our Roots
The American AI community needs to actively reject the narrative that “open is not safe.” We must return to our foundational principles of open science and open-source development. This requires a collaborative effort involving: Frontier Labs: Sharing research and models openly. Big Tech: Investing in and contributing to open-source projects. Startups: Building innovative solutions on open foundations. Universities: Educating the next generation of open-source AI developers. Non-profits: Advocating for open access and responsible AI development. we can build a future where AI reflects democratic values, powered by openness, competition, and rigorous scientific inquiry. If the U.S. wants to lead the AI revolution, it must lead the open-source AI revolution.Clément Delangue is the co-founder and CEO of Hugging Face.* Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here.
The open Source Imperative: Why America’s AI Future Depends on It
Artificial intelligence is rapidly reshaping our world,and the United States stands at a critical juncture. Maintaining leadership in this transformative technology isn’t just about investment; it’s fundamentally about openness. A thriving, decentralized AI ecosystem, built on open-source principles, is the key to innovation, security, and ensuring AI benefits everyone.Why Open Source Fuels AI Advancement
For years, the foundation of AI progress - from the core transformer architecture to the tools used for training and evaluation – has been openly shared. This isn’t accidental. Open source dramatically accelerates the pace of development. here’s how: Rapid Experimentation: Open access allows researchers and developers to quickly build upon existing work, fostering a cycle of continuous improvement. Lower Barriers to Entry: Open-source tools democratize AI development, enabling smaller companies, startups, and individuals to participate. Compounding Innovation: When knowledge is freely shared, it sparks a ripple effect of new ideas and applications. When this openness falters, the entire AI landscape slows down. If the U.S. cedes ground in open-source AI today, we risk falling behind in the broader AI revolution.Beyond Innovation: Security, Science, and Governance
The benefits of open AI extend far beyond simply building better algorithms. Transparency and auditability are paramount for: National Security: Open models allow for thorough security assessments,identifying and mitigating potential vulnerabilities. Scientific Discovery: Researchers can dissect and understand how AI arrives at its conclusions, accelerating breakthroughs in various fields. Democratic Governance: Openness ensures AI systems are accountable and aligned with public values, preventing “black box” decision-making.You need adaptable AI solutions tailored to your specific needs. Open models empower governments, educators, healthcare providers, and small businesses to do just that – without being locked into proprietary systems.A Growing Momentum, But More is Needed
Fortunately, a wave of U.S.-based initiatives are championing open-source AI. Meta’s Llama Family: The open-weight Llama models have spawned tens of thousands of variations on platforms like Hugging Face. Allen Institute for AI: Continues to deliver high-quality, fully open AI models. Black Forest: A promising startup pioneering open multimodal systems. OpenAI: Even OpenAI is considering releasing open-weight models, signaling a potential shift. These efforts are commendable, but they require greater public and policy support. The U.S. AI Action Plan is a positive step, but we need a renewed commitment to a decentralized, open approach.Reclaiming Our Roots: Open Science and Open Source
It’s time for the American AI community to reject the false narrative that “open is not safe.” We must return to our foundational principles of open science and open-source AI. This means fostering collaboration between: Frontier research labs big technology companies Innovative startups Leading universities Non-profit organizations We can reignite a decentralized movement that secures U.S. leadership, built on openness, competition, and rigorous scientific inquiry. If we want AI to embody democratic principles, we must build it in the open. And if the U.S.aims to lead the AI race, it must* lead the open-source AI race. Clément Delangue is the co-founder and CEO of Hugging Face.Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here.An error occured.
DeepSeek wasn’t the only one
Within a week, the U.S. stock market — sensing the tremor — took a tumble.
It turns out Deepseek was just the opening act. Dozens of Chinese research groups are now pushing the frontiers of open-source AI, sharing not only powerful models, but the data, code and scientific methods behind them. They’re moving quickly — and they’re doing it in the open.
Simultaneously occurring, U.S.-based companies — many of which pioneered the modern AI revolution — are increasingly closing up.Flagship models like GPT-4, Claude and Gemini are no longer released in ways that allow builders more control.They’re accessible only through chatbots or APIs: Gated interfaces that let you interact with a model but not see how it effectively works, retrain it or use it freely. The model’s weights, training data and behavior remain proprietary, tightly controlled by a few tech giants.
This is a dramatic reversal. Between 2016 and 2020, the U.S. was the global leader in open-source AI. Research labs from google, OpenAI, Stanford and elsewhere released breakthrough models and methods that laid the foundation for everything we now call “AI.” The transformer — the “T” in ChatGPT — was born out of this open culture. Hugging Face was created during this era to democratize access to these technologies.
Now,the U.S. is slipping, and the implications are profound.
American scientists, startups and institutions are increasingly driven to build on Chinese open models as the best U.S. models are locked behind APIs. As each new open model emerges from abroad, Chinese companies like DeepSeek and Alibaba strengthen their positions as foundational layers in the global AI ecosystem. The tools that power America’s next generation of AI products, research and infrastructure are increasingly coming from overseas.
And at a deeper level, there’s a more fundamental risk: Every advancement in AI — including the most closed systems — is built on open foundations. proprietary models depend on open research, from transformer architecture to training libraries and evaluation frameworks. But more importantly, open-source increases a country’s velocity in building AI. it fuels rapid experimentation, lowers barriers to entry and creates compounding innovation.
When openness slows down, the entire ecosystem follows. If the U.S. falls behind in open-source today,it may find itself falling behind in AI altogether.
Moving away from black box AI
this matters not just for innovation, but for security, science and democratic governance. open models are transparent and auditable. They allow governments, educators, healthcare institutions and small businesses to adapt AI to their needs, without vendor lock-in or black-box dependencies.
We need more and better U.S.-developed open source models and artifacts. U.S. institutions already pushing for openness must build on their success.Meta’s open-weight Llama family has led to tens of thousands of variations on Hugging Face. The Allen Institute for AI continues to publish excellent fully open models. Promising startups like Black Forest are building open multimodal systems. Even OpenAI has suggested it may release open weights soon.
With more public and policy support for open-source AI, as demonstrated by the US AI Action Plan, we can restart a decentralized movement that will ensure America’s leadership. It’s time for the American AI community to wake up, drop the “open is not safe” narrative, and return to its roots: Open science and open-source AI, powered by an unmatched community of frontier labs, big tech, startups, universities and non‑profits.
We can restart a decentralized movement that will ensure U.S. leadership, built on openness, competition and scientific inquiry, and empower the next generation of builders. If we want AI to reflect democratic principles, we have to build it in the open. And if the U.S. wants to lead the AI race, it must lead the open-source AI race.
Clément Delangue is the co-founder and CEO of Hugging Face.