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Every AI tool you use today — ChatGPT, Claude, Gemini — belongs to a company. They set the prices, they control the data, and they can change the rules whenever they want. I’ve been thinking about this a lot lately, especially after writing about how AI agents are becoming employees — the more we depend on these systems, the more power their owners have.

A nonprofit called Current AI is trying to change that. And they’ve got $400 million to back it up.

What is Current AI and who’s behind it?

Current AI launched in February 2025 with a premise that sounds almost naive: if AI is going to reshape how billions of people live, work, and communicate, there should be a public alternative. Not owned by shareholders. Not gated behind API pricing tiers.

Martin Tisné founded it. The French government seeded it with $100 million. The Ford Foundation, MacArthur Foundation, DeepMind, and Salesforce followed, bringing total committed funding to $400 million. Their CEO, Ayah Bdeir, joined in January 2025 after leading Mozilla’s AI strategy. She previously founded littleBits, the STEM education company that reached millions of kids before selling to Sphero.

The model they’re copying? The World Wide Web itself. When Tim Berners-Lee invented the web in 1989, he didn’t patent it. He gave it away. That single decision is why you can switch between Chrome, Firefox, and Safari without losing access to the internet. Current AI wants to build the same kind of open layer for AI — open protocols, open standards, anyone can build on top.

What is Current AI actually building?

This isn’t a think tank writing policy papers. They’re shipping products.

Suno Sutra — a pocket-sized, offline device that runs AI in 22 Indian languages. No internet required. Built with Bhashini, the Indian government’s AI language division. Open sourced so developers can build on it.

AlphaChat — an open source chatbot assembled in seven weeks by a coalition of 10 organizations including Hugging Face, Mozilla, and MIT Media Lab. Each contributor brought a piece of the stack: language model, safety tooling, computing power. Launched at the AI for Good Global Summit in Geneva.

$3.2 million in grants across four organizations in Kenya, Lebanon, and the Brazilian Amazon. The projects span building AI datasets across 50+ African languages, digitizing Arab cultural history, creating offline AI tools with Indigenous Amazon communities, and developing audit tools to hold AI systems accountable.

If you’ve been following the open source AI movement, this feels like the next step — not just open models, but open infrastructure.

Why should solo builders care about open AI infrastructure?

Here’s why I care about this as someone who builds with AI tools every day.

Right now, the AI market is a handful of companies selling access to their models through APIs. You don’t own anything. If OpenAI raises prices, you pay more. If Anthropic changes their usage policy, you adapt or leave. I wrote about this dynamic when I tested Claude’s free alternatives — the dependency is real, and it’s getting worse as these tools become more embedded in how we work.

Current AI is building an alternative layer. Open models, open data, community-owned infrastructure. If they succeed, it means:

  • Lower costs. Open infrastructure drives prices down for everyone. We’ve already seen this with open source coding models like NousCoder — competition makes things cheaper, fast.
  • No lock-in. You can switch between providers without rewriting everything. Same way you can switch web browsers without losing the internet.
  • Community control. Data stays with the people who generated it, not in some company’s training pipeline.

This is the same pattern that made the web work. The difference is that Current AI is doing it intentionally, from the start, before AI becomes as locked-down as social media.

How does Current AI handle the language problem?

Half the world’s spoken languages face extinction. And the AI systems we’re building — the ones that will shape how people access information for the next generation — are almost entirely English-first.

Bdeir put it bluntly: “When a technology can’t speak your language, it can’t hold your culture either.”

Big Tech’s multilingual push isn’t solving this. As Bdeir pointed out, “Big tech builds multilingual models to expand their market, regardless of consent or context.” For Indigenous languages, missionary Bible translations become training data before communities have set any rules about how their language gets used.

Current AI’s approach is different. They store models and data locally. They bring in community experts before anything gets built. They write consent protocols into the pipeline so communities can halt the process at any point. It’s slower. It’s messier. It respects the people whose languages are at stake.

What’s next for Current AI?

Current AI struck a deal with Sakana AI, a Tokyo-based startup, to build a shared open source AI stack designed for the Japanese language and Global South communities. They’re also expanding their grant program.

The scale question is real — $3.2 million split four ways isn’t going to reshape the AI market overnight. But Bdeir’s answer resonated with me: “Scale is not always the measure. That is the Big Tech paradigm. This could look like an Indigenous elder in the Brazilian Amazon using a tool built in Kenya to be able to pass down ecological knowledge in their own language.”

That’s the kind of infrastructure worth building. Whether it succeeds at scale or not, the attempt matters.

What does this mean if you’re building with AI tools?

If you’re building with AI tools — whether it’s automating workflows or testing productivity tools — keep an eye on Current AI. Open infrastructure benefits everyone, even if you never touch their code directly. Competition drives prices down, open standards prevent lock-in, and community-owned data means fewer surprises.

Want to explore more AI tools that won’t break the bank? Check out the AI Tool Advisor or start here.

FAQs

What is Current AI? Current AI is a nonprofit founded in February 2025 by Martin Tisné to build open, public AI infrastructure. It launched with $400 million in committed funding from the French government, Ford Foundation, MacArthur Foundation, DeepMind, and Salesforce. Its CEO is Ayah Bdeir, former Mozilla AI strategy lead.

How is Current AI different from open source AI projects? Current AI goes beyond releasing open models. They’re building full infrastructure: offline devices, community-owned data pipelines, consent protocols, and grant programs for underrepresented languages. Their approach mirrors how the World Wide Web was designed — open protocols anyone can build on, not just open code.

Why does open AI infrastructure matter for solo builders? Open infrastructure means lower costs, no vendor lock-in, and community control over data. If you’re building with AI APIs today, you’re dependent on a handful of companies. Open alternatives create competition that drives prices down and gives you options if a provider changes their terms.

What languages does Current AI support? Current AI’s Suno Sutra device runs AI in 22 Indian languages offline. Their grant program funds projects across 50+ African languages, Arab cultural digitization, and Indigenous Amazon communities. Their focus is languages that Big Tech multilingual models typically ignore or exploit.