What to Know

  • DeepSeek is nearing a funding round of at least $12 billion ahead of a planned IPO in early 2027.
  • Demand for DeepSeek’s round could lift the raise to around $15 billion, above its initial target.
  • Tencent and battery maker CATL are backing DeepSeek’s latest financing effort.
  • Moonshot AI, the company behind the Kimi chatbot, has completed its final private funding round at a $50 billion valuation.
  • Moonshot is targeting a Hong Kong IPO in the first quarter of 2027 that could raise up to $5 billion.
  • Moonshot’s annual recurring revenue is expected to reach $2 billion by December, double its current level.
  • OpenAI is seeking at least $30 billion at a $1.4 trillion pre-money valuation after delaying its IPO plans.
  • Potential OpenAI investors include BlackRock and UAE funds, which could collectively contribute up to $10 billion.
  • Anthropic is eyeing an IPO in November after the U.S. midterm elections at a potential valuation of around $2 trillion.

Chinese AI funding accelerates into the listing cycle

The global artificial intelligence race is entering a new capital-intensive phase, with Chinese model developers DeepSeek and Moonshot AI moving toward major funding milestones ahead of planned public listings. The momentum reflects a broader market belief that a small group of AI companies may define the next generation of software infrastructure, search interfaces, productivity tools, enterprise automation and consumer chat applications.

DeepSeek is nearing a funding round of at least $12 billion, with demand that could push the raise to around $15 billion. The round is expected to support the company before a planned IPO in early 2027. The presence of Tencent and CATL as backers highlights the strategic nature of the transaction. Tencent brings deep experience across cloud services, consumer platforms, gaming, payments and digital ecosystems, while CATL’s participation underscores how AI is increasingly viewed as relevant beyond traditional internet businesses, extending into advanced manufacturing, industrial optimization and energy-linked supply chains.

Moonshot AI is also preparing for the public market spotlight. The company, known for the Kimi chatbot, has completed its final private funding round at a $50 billion valuation and is targeting a Hong Kong IPO in the first quarter of 2027. The listing could raise up to $5 billion, placing Moonshot among the most closely watched Chinese technology offerings of the cycle. Its annual recurring revenue is expected to reach $2 billion by December, double its current level, giving prospective public investors a clearer commercial metric to assess alongside its model capabilities and user adoption.

DeepSeek’s V4 Flash model sharpens competitive narrative

DeepSeek’s funding momentum follows the release of its V4 Flash model, which strengthened its standing against U.S. rivals including OpenAI and Anthropic on cost and performance. In the AI sector, cost efficiency has become as important as raw capability. A model that can deliver useful outputs at lower inference expense can potentially unlock broader adoption across consumer and enterprise use cases, especially where high-volume interactions determine margins.

For investors, the significance of the V4 Flash release is not limited to technical benchmarking. It supports the argument that Chinese AI companies are not merely chasing U.S. leaders, but are competing on the economics of deployment. That matters because the AI business model remains expensive: training requires vast compute resources, inference costs can scale quickly, and infrastructure spending has become a defining constraint across the industry. Companies that can reduce cost while maintaining competitive performance may be better positioned to convert usage into durable revenue.

The DeepSeek round also shows that private capital remains willing to support frontier AI developers even as public markets demand clearer paths to profitability. Investors appear to be treating leading AI companies as infrastructure platforms rather than conventional application businesses. That distinction can justify larger funding rounds and loftier valuations, but it also raises expectations for market share, enterprise adoption and sustained technical progress.

Moonshot’s Hong Kong ambitions put revenue in focus

Moonshot’s planned Hong Kong IPO gives the Chinese AI funding story a different angle. While DeepSeek’s latest attention centers on a major private raise, Moonshot is moving toward a public market event that could test investor appetite for AI companies with fast-growing recurring revenue. The expected annual recurring revenue target of $2 billion by December, double its current level, is likely to become a central measure for market participants studying the company’s growth trajectory.

The Kimi chatbot has placed Moonshot in the competitive consumer-facing AI market, where user experience, model quality, latency and integration all matter. Chatbots have become a visible entry point into artificial intelligence for consumers, but the larger commercial opportunity may depend on how effectively companies convert engagement into paid services, enterprise products and platform partnerships. A Hong Kong listing could offer Moonshot capital for expansion while giving investors a public-market vehicle tied directly to China’s AI ecosystem.

The timing also matters. A first-quarter 2027 target would place Moonshot’s offering close to DeepSeek’s planned early 2027 IPO window. If both listings proceed, investors may gain a clearer comparative view of Chinese AI leaders based on revenue quality, model performance, infrastructure strategy, customer base and valuation discipline. The public market could become a proving ground for claims that China’s AI champions can scale commercially while competing with U.S. firms at the frontier.

OpenAI and Anthropic raise the valuation stakes

The Chinese funding wave is unfolding against an extraordinary U.S. backdrop. OpenAI is seeking at least $30 billion at a $1.4 trillion pre-money valuation after delaying its IPO plans. Potential investors include BlackRock and UAE funds, which could collectively contribute up to $10 billion. The scale of the proposed raise illustrates how artificial intelligence has become one of the most aggressive capital-allocation themes in global markets.

OpenAI’s valuation target also sets a high benchmark for the sector. A $1.4 trillion pre-money valuation implies expectations that AI systems will become deeply embedded across work, software, search, coding, media and enterprise operations. It also signals that investors may be willing to value leading AI firms less like traditional startups and more like foundational technology platforms with the potential to reshape large segments of the economy.

Anthropic is adding to the intensity. The company is eyeing an IPO in November after the U.S. midterm elections at a potential valuation of around $2 trillion. If that plan advances, it would mark another dramatic step in the repricing of frontier AI companies. The possible valuation would place Anthropic at the center of debates over whether AI revenue growth, enterprise demand and model differentiation can support trillion-dollar-scale public market expectations.

A U.S.-China race defined by capital, compute and commercialization

The AI race between the U.S. and China is increasingly being fought across three connected fronts: access to capital, access to compute and the ability to commercialize models. Capital allows companies to secure talent, purchase or rent computing capacity, build data infrastructure and sustain product development. Compute determines how quickly firms can train and deploy increasingly capable systems. Commercialization determines whether usage can become recurring revenue at a scale that supports investor expectations.

Chinese companies such as DeepSeek and Moonshot are seeking to prove that they can compete despite a challenging global technology environment. Their ability to attract large funding rounds and pursue public listings suggests that domestic and regional investors continue to see strategic value in AI leadership. At the same time, U.S. companies such as OpenAI and Anthropic are pursuing funding and potential listings at valuations that show how aggressively investors are pricing the sector’s long-term potential.

For public markets, the coming listing cycle could be a major test. AI has captured investor attention, but the transition from private valuation to public scrutiny is demanding. Public investors will look for evidence of sustainable revenue, operating leverage, customer retention, model quality and infrastructure efficiency. Companies that can show expanding revenue while managing compute costs may command stronger support, while those relying mainly on future promise may face more volatile reception.

Why the funding race matters beyond technology shares

The scale of AI fundraising has implications well beyond the companies directly involved. Large funding rounds can shape demand for semiconductors, cloud capacity, data center construction, electricity, cooling systems, enterprise software and cybersecurity services. They can also influence national technology strategies as governments and investors assess where the next layer of digital infrastructure may be built.

For China, successful AI listings would deepen local capital market exposure to a strategic technology sector. A Hong Kong IPO from Moonshot and a planned early 2027 offering from DeepSeek would give investors fresh ways to participate in the country’s AI development. For the U.S., fundraising ambitions at OpenAI and a possible Anthropic IPO reinforce the view that the largest AI platforms may require enormous balance sheets to support model development and deployment.

The competitive picture remains fluid. High valuations can attract capital and talent, but they also intensify pressure to deliver. AI companies must continue improving model performance while controlling costs, navigating regulation and proving that their products can create measurable value for users and enterprises. The next phase of the race may therefore be less about headline model releases alone and more about which companies can convert technical progress into durable financial results.

Frequently Asked Questions (FAQs)

How much is DeepSeek looking to raise?

DeepSeek is nearing a funding round of at least $12 billion, and demand could push the total to around $15 billion.

Who is backing DeepSeek’s latest funding effort?

Tencent and battery maker CATL are among the backers of DeepSeek’s latest financing effort ahead of its planned IPO.

When is DeepSeek planning to go public?

DeepSeek is planning an IPO in early 2027, although the timing remains subject to market conditions and execution plans.

What is Moonshot AI’s current valuation?

Moonshot AI has completed its final private funding round at a $50 billion valuation.

How much could Moonshot raise in its Hong Kong IPO?

Moonshot is targeting a Hong Kong IPO in the first quarter of 2027 that could raise up to $5 billion.

What revenue milestone is Moonshot expected to reach?

Moonshot’s annual recurring revenue is expected to reach $2 billion by December, which would be double its current level.

What valuation is OpenAI seeking?

OpenAI is seeking at least $30 billion at a $1.4 trillion pre-money valuation after delaying its IPO plans.

What is Anthropic reportedly considering?

Anthropic is eyeing an IPO in November after the U.S. midterm elections at a potential valuation of around $2 trillion.

Why are AI companies raising such large sums?

Frontier AI development requires major spending on compute, talent, infrastructure and product deployment, making access to large pools of capital a competitive advantage.