Rhodium: Chinese AI Firms Earn About 10% of OpenAI's Revenue

IndustryAnalyst
โดย CNBC·CNUS·Read original
Summary · why it matters

China's major artificial intelligence companies together generate only about 10% of the revenue that OpenAI alone reports, according to a new analysis from Rhodium Group that raises questions about how investors are valuing the country's AI startups. Rhodium Group published estimates on Thursday using annual recurring revenue, an industry metric calculated by multiplying a recent monthly revenue figure by 12. OpenAI's ARR stands at $40 billion, while Anthropic's reaches $65 billion, the firm said, and among Chinese companies ByteDance led with $4 billion, followed by Alibaba at $2.4 billion, Z.AI at $1.8 billion, Moonshot at $1 billion, MiniMax at $800 million, and DeepSeek at $500 million. The gap is starker when set against the valuations investors have placed on Chinese AI startups, with Rhodium estimating that Moonshot carries a valuation-to-revenue ratio of 50x and DeepSeek one of 163x, both well above OpenAI's 34x and Anthropic's 21x. Logan Wright, a partner at Rhodium Group who co-authored the report with research analyst Endeavour Tian, said the financing gap means it will be far more difficult for Chinese frontier AI labs to scale sustainably and that they will be heavily dependent upon a favorable climate in the equity market. Several of the companies covered in the report are moving toward public markets, with Moonshot filing confidentially for a Hong Kong IPO and aiming to raise $3 billion, and DeepSeek engaging CITIC Securities to prepare for a listing on Shanghai's STAR Market, while Z.AI told investors Wednesday that it has raised its year-end ARR target to $3 billion, compared with the $2.4 billion it had previously projected.

Impact on stocks 5

Artificial Intelligence · 3 stocks
Alibaba Group Holding Ltd
9988
▼ NegativeDemandrelevance

Rhodium estimates Alibaba's AI ARR at only $2.4B, far below OpenAI's $40B, raising doubts about Chinese AI revenue scale.

MiniMax Group Inc
0100
▼ NegativeCapitalrelevance

MiniMax's $800M ARR is dwarfed by US peers, and Rhodium warns Chinese labs face a difficult financing gap to scale.

Biotech & Genomic Medicine · 1 stocks
Others · 1 stocks
CITIC Securities Co Ltd
600030
± MixedCapitalrelevance

CITIC Securities is engaged to prepare DeepSeek's STAR Market listing, a passing mention of its advisory role.

Theme Impact 2

Off-coverage companies 5

DeepSeekPrivate▼ Negative
Capitalrelevance

DeepSeek's $500M ARR against a 163x valuation-to-revenue ratio raises questions about its lofty valuation ahead of a STAR Market listing.

ByteDancePrivate± Mixed
relevance

ByteDance leads Chinese AI firms with $4B ARR, but the report frames this as far below OpenAI/Anthropic, raising valuation concerns.

AnthropicPrivate▲ Positive
Demandrelevance

Anthropic's ARR reaches $65B, cited as far exceeding Chinese AI firms' combined revenue, underscoring its strong end-customer demand.

OpenAIPrivate▲ Positive
Demandrelevance

OpenAI's $40B ARR is cited as the benchmark showing Chinese AI firms generate only about 10% of its revenue.

Rhodium GroupPrivate± Mixed
relevance

Related news

Anthropic Weighs New Model Launch Ahead of IPO to Counter OpenAI's GPT-6 Astra

Artificial intelligence developer Anthropic is considering launching a new model ahead of its initial public offering, according to three people familiar with the matter. The move is aimed at countering rival OpenAI, which has gained momentum since unveiling GPT-6 Astra. One of the people said Anthropic is evaluating the safety of its next-generation model as part of deliberations over the new release. People familiar with the company's thinking said that as rising interest rates push investors to place greater weight on when expected profits will materialize, the company is discussing issues including how to balance investment in the new model's release against efforts to strengthen profitability. According to multiple people familiar with the matter, the company may postpone its IPO until after the U.S. midterm elections in November. Anthropic declined to comment.
ロイター·28mRead more →
2

OpenAI CEO Altman to Address AI Safety at UN Security Council Meeting

OpenAI CEO Sam Altman will speak about AI safety measures at a Security Council meeting next week, as world leaders gather in New York for the UN General Assembly. A company spokesperson confirmed the plan on the 18th, noting that the Security Council will hold a meeting on AI and international security on the 23rd. According to the spokesperson, Altman will discuss the need for international coordination and common safety standards, as well as the measures the company is taking. According to diplomatic sources, an Anthropic executive is also expected to attend the meeting, though this has not yet been finalized. Several AI industry executives have warned in recent weeks that AI could soon evolve autonomously and escape human control, and have called for a coordinated slowdown in development.
ロイター·1hRead more →

UBS Flags AI Science Shift as Investment Theme After OpenAI Proof

UBS Wealth Management says artificial intelligence is moving beyond text generation into scientific research, opening investment opportunities across AI infrastructure, pharmaceuticals, nuclear fusion, industrial materials and utilities. The shift was highlighted by OpenAI's recent mathematical proof related to the Navier-Stokes equations, a centuries-old fluid dynamics problem and one of seven Millennium Prize Problems, which OpenAI tackled using 10,000 autonomous AI agents working in parallel for 88 hours before formalizing the proof with Lean, a system for machine-checked mathematical validation. In pharmaceuticals, multi-agent AI systems can simulate millions of protein variations in the cloud, and more than 170 AI-designed programs are already in development or clinical evaluation, including Phase III trials. In nuclear fusion, reinforcement-learning systems can predict plasma disruptions around 200 milliseconds before they occur and adjust magnetic coils thousands of times per second, while AI models in materials science can test millions of elemental combinations daily in search of properties for lighter, higher-density batteries, lower-heat computing hardware and potential room-temperature superconductors. The broader investment case centers on AI becoming a tool for automating scientific research rather than simply generating content, with companies exposed to AI infrastructure, pharmaceuticals, industrial materials and utilities positioned to benefit as these technologies move toward commercial applications.
Investing.com·3hRead more →