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Chinese AI firms Moonshot and DeepSeek secure major funding amid US market expansion

Moonshot AI and DeepSeek are raising significant capital as their open-weight models gain traction among U.S. companies seeking lower-cost alternatives to domestic AI providers.

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Source-provided image accompanying Chinese AI firms Moonshot and DeepSeek secure major funding amid US market expansion
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stocktwits.comhttps://stocktwits.com/news-articles/markets/equity/watch-out-openai-anthropic-deepseek-moonshot-raise-fresh-capital-as-chinese-open-weight-ai-models-gain-us-users/cZDsUbgRBkh
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What happened

Chinese AI companies Moonshot AI and DeepSeek are reportedly securing substantial new funding rounds. According to Stocktwits, citing Bloomberg, Moonshot AI has closed a funding round at a valuation of approximately $50 billion and is preparing for a potential Hong Kong IPO in the first quarter of 2027. DeepSeek is reportedly nearing a $12 billion funding round, backed by investors including Tencent and CATL.

Moonshot AI has reportedly reached a $50 billion valuation, a significant increase from its earlier $31.5 billion valuation. The company is currently preparing for a potential initial public offering in Hong Kong, targeted for the first quarter of 2027, with plans to raise up to $5 billion.

DeepSeek is nearing a funding round of at least 80 billion yuan (approximately $12 billion), exceeding its initial target of 50 billion yuan due to high investor demand. Major backers in this round reportedly include Tencent and the battery manufacturer CATL.

These developments occur as Chinese AI labs increasingly prioritize open- models, which allow developers to download and customize systems. These models are seeing increased usage on platforms like OpenRouter and Vercel, with U.S. companies like Airbnb and Coinbase reportedly utilizing them to manage costs.

Source details: stocktwits.com ↗

Why it matters

The rise of these Chinese firms signals a shift in the competitive landscape for AI, as their open- models—such as Moonshot’s Kimi K3 and DeepSeek’s V4 Flash—gain popularity in the U.S. market. By offering high-performance, lower-cost alternatives to closed-source systems from companies like OpenAI and Anthropic, these firms are pressuring U.S. leaders to justify their pricing and development strategies. This trend is evidenced by U.S. companies, such as Coinbase, reportedly shifting toward these models to reduce AI operational expenditures.

The competitive pressure from Chinese AI firms is intensifying as they demonstrate that frontier-level performance can be achieved at lower computing costs. This challenges the dominance of U.S.-based AI labs that have historically relied on high-cost, closed-source models.

The shift toward open- models by Chinese firms is directly impacting U.S. corporate spending. By providing viable, cost-effective alternatives, these companies are forcing a re-evaluation of AI procurement strategies among U.S. businesses looking to optimize their AI budgets.

The growth of these firms is occurring despite accusations from U.S. officials and competitors that they have utilized outputs from American models to accelerate their own development, highlighting a complex geopolitical and technological rivalry.

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What to watch next

Observers should monitor the progress of Moonshot AI’s potential 2027 IPO and the finalization of DeepSeek’s funding round. Additionally, the ongoing adoption of these models by U.S. enterprises and the potential regulatory or security scrutiny regarding their development practices remain critical factors. The impact of these lower-cost models on the market share of established U.S. AI providers will be a key metric for the industry.

The successful execution of Moonshot AI’s planned IPO in early 2027 will be a significant indicator of investor appetite for Chinese AI firms on the global stage.

Continued adoption rates of DeepSeek and Moonshot models on U.S. model-routing platforms will provide data on whether these firms can sustain their momentum against established U.S. incumbents.

Potential regulatory actions or security-related restrictions from U.S. authorities regarding the use of Chinese-developed AI models in American enterprise environments remain a significant unknown that could alter the current trajectory.

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