VC10X Pulse - Why Big Tech Is Suddenly United Behind Open AI

This week, something unusual happened. Many of the biggest names in technology, including Nvidia, Microsoft, Meta, IBM, Palantir, and later OpenAI and Google, bagged a public letter urging policymakers not to impose broad restrictions on open-weight AI models. In an industry where companies fiercely compete, it's rare to see this level of alignment. So why are some of the world's largest AI companies suddenly speaking with one voice? And why was one notable company, Anthropic, not part of the coalition? Let's break it down. Let's first understand what is the letter about. The letter argues that open-weight AI models should remain an important part of the AI ecosystem, and that governments should avoid premature regulations that could limit their development. It's important to clarify one point. This isn't necessarily about fully open-source AI. It's primarily about open-weight models, models that developers can download, inspect, and run themselves, even if every part of the training process isn't publicly available. The authors argue that these models promote innovation, competition, cybersecurity, and AI sovereignty. Why are so many companies supporting it? On the surface, this may look like an ideological debate. In reality, it's an economic one. Companies like Nvidia benefit when more developers and enterprises can run AI models locally because every deployment requires chips, servers, networking, and infrastructure. Microsoft benefits because open models still run on cloud infrastructure. Meta has invested heavily in open-weight model Sulama. For many of these companies, a thriving open ecosystem expands the overall AI market. Now why this matters for investors? The industry is moving beyond a world where only a handful of companies control frontier models. Instead, we are likely to see two ecosystems develop in parallel. Closed frontier models for the highest performance applications and open-weight models powering enterprises, governments, developers, and on-premise deployments. Those aren't mutually exclusive. They can grow together. And that could expand the total addressable market for AI infrastructure. But why Anthropik stands apart? One of the biggest talking points was Anthropik's absence. Anthropik has consistently emphasized AI safety and has generally taken a more cautious approach to the release of powerful models. The company later said it supports open-weight models in principle but objected to specific language in the letter relating to model distillation and intellectual property, rather than opposing openness outright. So this isn't simply an open versus closed debate, it's also a debate about how AI should be governed as models become more capable. For investors, the significance of this letter goes well beyond policy. It suggests that much of the technology industry believes broader access to AI will accelerate adoption, not slow it down. If open-weight models become more widely available, demand for compute, chips, cloud infrastructure, networking, and enterprise AI applications could continue to grow. The AI race may not be won by one model. It may be won by building the largest ecosystem around AI. And that's why