李彦宏最新IPO来了

This article discloses the latest IPO progress of Kunlun Core, the AI chip company backed by Robin Li, and shares key updates on China’s domestic AI chip industry:

1. Kunlun Core confidentially filed for an IPO with the Hong Kong Stock Exchange earlier this year, and is currently in the critical stage of cornerstone investor outreach, targeting a valuation of approximately $50 billion (around 340 billion yuan). It has also launched pre-IPO tutoring for a STAR Market listing, pushing forward with a dual A+H listing plan simultaneously.

2. Originally the intelligent chip and architecture department of Baidu, Kunlun Core spun off into an independent operation in 2021. It now has 57 shareholders, including top-tier investment institutions, industrial capital, and government-guided funds. Its product line covers a wide range of AI scenarios, and it has already secured a billion-yuan order from China Mobile. External revenue now exceeds its revenue from supplying Baidu’s internal demand.

3. Kunlun Core is a critical milestone for Baidu to turn around its AI business. If it hits its valuation target, controlling shareholder Baidu will see substantial gains. With Baidu’s Hong Kong-listed market capitalization already exceeding HK$300 billion, its future growth is worth watching closely.

This article provides trend insights and development path references for brands布局ing the AI sector:

1. Current industry trend: AI computing demand is booming, and the domestic AI chip track is receiving massive capital inflows. Leading players like Cambricon have seen their market capitalization exceed 1 trillion yuan at one point, showing high investor recognition for domestic AI-related assets. Brands looking to enter AI can leverage the current window of opportunity.

2. Business development reference: Kunlun Core’s model of spinning off from an internal Baidu department to pursue an independent IPO offers a useful template for in-house innovation projects at large tech firms. Spinoff and independent operation boost a business’s credibility among customers, suppliers and strategic partners, making it much easier to expand external business.

3. Customer expansion reference: Kunlun Core started with Baidu’s internal orders, and gradually expanded to win large external clients including China Mobile and China Southern Power Grid, eventually growing external revenue beyond internal supply. This path from internal incubation to market expansion is highly valuable for brands to learn from.

This article offers the latest opportunity and risk analysis for entrepreneurs and sellers focused on the AI track:

1. Current industry opportunity: The AI computing boom has lifted the entire AI chip industrial chain, with valuations of domestic AI chips remaining high in both public and private markets. This is an ideal window for domestic AI chip companies to raise capital and pursue IPOs, and relevant players should seize the moment to advance their plans.

2. Capital connection insights: Kunlun Core’s IPO cornerstone shares prioritize industrial investors with tangible industry background, with high barriers to entry for pure-play financial investors. Entrepreneurs should build industrial connections early and align with investor preferences to secure financing support.

3. Risk warning: Baidu was one of the first large internet firms to commit to an "All in AI" strategy, but its large language model business has been outpaced by offerings from ByteDance, Alibaba and newer AI startups, leaving it with an early start but late finish. This serves as a reminder to AI entrepreneurs that they must move fast to deliver products and capture market share during the current window to avoid falling behind.

This article outlines shifting demand and new business opportunities for upstream manufacturing facilities in the AI chip sector:

1. Production demand trends: AI chips are seeing clear differentiated demand across different application scenarios. Kunlun Core has launched products tailored for data center inference, large-scale inference, and ultra-large-scale multi-modal models, each with different design and production requirements. Upstream factories can adjust their production layout to match these needs.

2. Stable order opportunities: According to IDC data, Kunlun Core ranked third among domestic vendors in China’s AI accelerator server market in 2025, with annual shipments of around 116,000 chips, demonstrating it has achieved mass production. Combined with its existing billion-yuan large orders, it can deliver stable long-term order volume for upstream factories.

3. Digital transformation insights: AI chips are the core infrastructure of the AI industry. Factories pursuing digital transformation can tap into the growth dividend of the domestic AI chip industry by entering its supply chain, to drive business growth and upgrading.

This article shares the latest industry trends and client demand insights for underwriters, investment firms, and industrial service providers focused on the AI chip sector:

1. Industry growth trends: Domestic AI chip companies are in the middle of an IPO boom, with multiple leading players preparing for or already listing on public markets. The boom in AI computing demand has driven growth across the entire industrial chain, creating substantial new business demand for service providers and continuously expanding the industry’s total addressable market.

2. Core client pain points: AI chip firms have clear preferences for cornerstone investors during the IPO process. Like Kunlun Core, most prioritize industrial investors with existing industry ties, and pure financial investors are rarely selected. Service providers need to integrate cross-sector industrial resources to meet the financing and matching needs of AI chip companies.

3. Solution directions: As commercialization of domestic AI chips accelerates, a large number of top investment institutions and government funds are actively布局ing the space. Service providers can build tailored end-to-end service solutions covering independent financing, IPO preparation and external client expansion for AI chip companies, to capture the track’s growth dividend.

This article provides insights on AI chip companies’ needs and industry trends for listed platforms and industrial service platforms:

1. Core demand from AI chip companies: Leading high-quality domestic AI chip companies are increasingly leaning toward dual A+H IPOs, accessing capital from both the Hong Kong Stock Exchange and the Shanghai STAR Market to capitalize on the current industry boom. This brings high-quality project resources for listing platforms in both markets.

2. Investment and attraction priorities: AI chips are currently the hottest track in capital markets, and leading domestic AI chip companies naturally draw capital attention and traffic. Platforms can target domestic AI chip companies as key investment attraction targets to bring high-quality projects on board, and boost the platform’s own industry influence.

3. Risk mitigation: While the AI chip track enjoys extremely high capital enthusiasm and generally high valuations, industry competition is also incredibly fierce. There are already cases of early large firm布局s being overtaken by later entrants. Platforms need to guard against risks from overheated industry valuation, assess project value rationally, and mitigate potential downside risks from future valuation corrections.

This article shares the latest industry developments and a new research sample for researchers focused on the AI and semiconductor industries:

1. Latest industry development: Domestic AI chip companies are currently seeing a wave of public listings. As the core underlying asset of Baidu’s AI business, Kunlun Core’s launch of a dual A+H IPO targeting a $50 billion valuation reflects the high level of market recognition for domestic AI computing assets, and marks a landmark event for the AI chip track.

2. Business model research sample: Kunlun Core followed a development path of spinning off from a large tech firm’s internal department, raising external capital, and pursuing an IPO. It leveraged the parent company’s initial technical and order support, while achieving market-oriented growth through independent operation. This model has now been proven viable, with external revenue exceeding internal supply, offering a new research sample for the development of in-house innovation projects at large technology companies.

3. New industry competition dynamics: China’s AI track sees rapidly shifting competitive landscapes, and early布局s by large firms do not guarantee continued leadership. Baidu has already been overtaken by later entrants in the large language model race, making Kunlun Core’s IPO a critical effort for Baidu to overtake on the AI curve. These shifting competitive dynamics warrant continued in-depth attention from researchers.