Middle-power nations and the private sector are rallying around open-source AI as an alternative to closed models dominated by a handful of large corporations. Canada has prioritized open-source in its national AI strategy, while the EU has placed open source at the center of its technological sovereignty plans, with countries like Germany and Japan following suit. Open-source AI models surged from roughly 1–2% of developer token volume in late 2024 to nearly 30% by mid-2025, signaling strong market traction and reflecting efforts to ensure AI is transparent, accountable, and governed in the public interest rather than by a small number of actors.
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Canada, the EU, and other middle-power nations are prioritizing open-source AI as a path to technological sovereignty, with the EU placing open source at the center of its strategy and countries from Germany to Japan integrating it into national plans. Meanwhile, open-source AI models grew from roughly 1–2% of token volume in late 2024 to nearly 30% by mid-2025 among developers.
Why it matters
Open-source AI allows governments and companies to own the infrastructure they build on and lets anyone inspect the code for safety and accountability—contrasting with AI controlled by a small number of large corporations. The body notes research showing open-source technology has created over $8.8 trillion（約1400兆円） in demand-side value, suggesting broad economic stakes in how AI infrastructure evolves.
What to watch
The shift reflects a response to concerns about concentrated control, particularly after the U.S. government's action to suspend access to Mythos unnerved governments and companies worldwide. The private sector is responding: developers are gravitating toward open-source AI tools, and a recent a16z and OpenRouter study found that open-source model adoption among builders represents significant business momentum.
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