In a future where open-source models commoditize the model layer itself, closed-source labs will likely adapt their business models. Monetization will move up the stack to the application layer (where the "last mile" value is) and down to the infrastructure layer (optimizing costs with custom chips).

According to SemiAnalysis, multiple major Chinese AI labs are signaling to inference providers that their next frontier models will not be open source. Instead, they will be available only through licensing, suggesting a rapid decline in the open-source movement for top-tier models.

Alibaba's release of three proprietary models in three days, with its CEO taking direct control to maximize revenue, marks a decisive shift away from open source. This reflects a broader trend among Chinese tech giants to prioritize direct monetization and commercialization over community-based model development.

Companies like Z.ai are not abandoning open source but using it strategically. They release lightweight models to attract developers and build a user base, while reserving their most powerful, agentic systems for proprietary, revenue-generating enterprise products, creating a clear monetization funnel.

Despite being open-source, leading Chinese AI firms are profitable. They generate hundreds of millions in revenue by selling managed services and API access, saving customers the complexity of self-hosting, GPU management, security, and deployment.

Unlike traditional open-source software, training AI models costs millions. To ensure sustainability, model labs are adopting commercial licenses that require large users to pay. This creates an economic incentive structure, similar to the pharmaceutical industry, to fund the high-risk, high-cost R&D for future model generations.

The current conflict between open and closed AI models mirrors historical tech battles. Just as open-source alternatives like MySQL and Apache Spark challenged proprietary databases, open-weight AI models are now emerging to capture economic value from the dominant closed models, creating a similar cycle of disruption.

OpenAI plans to demand revenue shares from drugs developed using its AI and a cut of e-commerce transactions. This transforms its business model from a simple per-token utility into a complex, risk-involved partner in multiple industries, akin to a venture firm.

Chinese AI labs are following a playbook perfected by OpenAI. They initially release open-source models to attract developers and accelerate learning. Once they approach the performance of frontier models, they switch to a closed-source strategy to monetize and capture the value.