Every month, hundreds of millions of users visit Pinterest to search for new styles and visual ideas. One popular page called “the most ridiculous things” offers playful inspiration. It shows Crocs turned into flower pots. It features cheeseburger-shaped eyeshadow. It even presents a gingerbread house built from vegetables.
Many users do not realise the technology behind these recommendations is not always American. Pinterest now experiments with Chinese artificial intelligence models to improve its recommendation engine. The company increasingly relies on this technology to personalise shopping and discovery.
Pinterest chief executive Bill Ready said the platform now operates like an AI-powered shopping assistant. The San Francisco-based company could rely on many American AI labs. Instead, it increasingly integrates Chinese-developed models behind the scenes.
A release that shifted momentum
China’s role at Pinterest expanded after the launch of DeepSeek R-1 in January 2025. Ready described the release as a major breakthrough. He said the developers chose to release the model as open source. That decision sparked a surge in global experimentation.
The move encouraged rapid adoption across the technology sector. Other Chinese companies soon followed the same strategy. Alibaba expanded its Qwen models. Moonshot released its Kimi system. ByteDance also develops similar large language technology.
These models now compete directly with established American systems. They increasingly power products used by millions of people worldwide.
Open source becomes a strategic weapon
Pinterest Chief Technology Officer Matt Madrigal said open-source access makes these models especially attractive. Companies can download and customise them internally. Many American rivals restrict access to their most advanced systems.
Madrigal said Pinterest trains its own models using open-source techniques. He said these systems outperform many off-the-shelf alternatives. According to him, accuracy improves by about 30 percent.
Costs also fall sharply. Madrigal said expenses sometimes drop by as much as ninety percent. Proprietary models from US developers often require significantly higher spending.
Corporate America takes notice
Pinterest is not the only American company adopting Chinese AI technology. Many large firms now depend on these models. Their use continues to spread across corporate America.
Airbnb chief executive Brian Chesky said his company relies heavily on Alibaba’s Qwen. The model powers Airbnb’s AI customer service agent. Chesky explained the decision in simple terms. He said it is very good. He said it is fast. He said it is cheap.
Further evidence appears on Hugging Face, a major platform for downloading AI models. Developers there access systems from companies like Meta and Alibaba. The platform tracks which models attract the most interest.
Chinese models rise to the top
Jeff Boudier, who builds products at Hugging Face, said cost influences many decisions. Young start-ups often choose Chinese models over American ones. Download data clearly reflects that shift.
Boudier said Chinese models frequently dominate popularity rankings. In some weeks, four of the five leading training models come from Chinese labs. That pattern appears repeatedly.
In September, Alibaba’s Qwen overtook Meta’s Llama. It became the most downloaded family of large language models on the platform. Developers adjusted quickly to the change.
Silicon Valley rethinks its approach
Meta released its open-source Llama models in 2023. Developers long treated them as the default choice for custom applications. That position weakened after DeepSeek and Alibaba entered the market.
Meta released Llama 4 last year. Many developers described the update as underwhelming. Reports suggest Meta now uses open-source models from Alibaba, Google, and OpenAI to train a new system. The company plans to release it this spring.
Airbnb uses several AI models at once, including American systems. The company hosts them within its own infrastructure. It says it never shares user data with model developers.
A shifting balance of power
At the start of 2025, many analysts believed Chinese firms threatened to pull ahead. Heavy American investment no longer guaranteed leadership. The conversation has since evolved.
Boudier said the strongest models now come from open-source communities. A recent Stanford University report supports that view. Researchers found Chinese models have matched or surpassed global competitors.
The study measured technical capability and user adoption. It suggested Chinese developers have closed the gap. In some areas, they have already moved ahead.
Competing visions shape the future
In a recent interview with a British broadcaster, former UK deputy prime minister Sir Nick Clegg criticised American priorities. He said US firms focus too heavily on building AI beyond human intelligence.
Clegg previously led global affairs at Meta. Mark Zuckerberg has committed billions to achieving what he calls superintelligence. Some experts now describe those ambitions as poorly defined.
Clegg said this lack of clarity gives China an opening. He argued China now does more to democratise the technology it competes over.
Financial pressure drives strategy
The Stanford report also pointed to strong government backing inside China. That support may explain part of its success in open-source development.
Meanwhile, American AI companies face growing pressure to generate revenue. Firms like OpenAI must balance research goals with profitability. Some now turn to advertising to support growth.
OpenAI released two open-source models last summer, its first such move in years. Most resources still flow into proprietary systems designed to generate income.
OpenAI chief executive Sam Altman said the company invests aggressively in computing power. He said revenue will grow quickly. He also said spending on future models will remain heavy.
