AI chip stocks rally 2% to 5% as sector rebounds from selloff

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[1] AMD Rallies 5%, Intel Rises 4% as Cooling Inflation Sparks a Chip Rebound (https://finance.yahoo.com/markets/stocks/arti ...)[2] 2 AI Stocks Poised for Outperformance Over the Next 5 Years (https://finance.yahoo.com/markets/stocks/arti ...)[3] TSMC Sales Jump 36% as Memory Stocks Plunge. What It Means for NVIDIA and AMD (https://finance.yahoo.com/markets/stocks/arti ...)[4] Markets News, July 16, 2026: Nasdaq Drops, Indexes Retreat as AI Spending... (https://finance.yahoo.com/markets/stocks/arti ...)

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Jul 21 2026, 03:36

GigaAI plans HK IPO this year at $30b valuation after new funding

GigaAI plans to list in Hong Kong as early as this year after a new funding round valuing the Chinese AI unicorn at $30 billion. "We are about to complete a new round of financing," Huang Guan, founder and CEO of GigaAI, said during an interview at the World Artificial Intelligence Conference in Shanghai. The valuation would make GigaAI the highest-valued world model startup in China, surpassing other domestic players in the physical AI space. The company develops world models and physical artificial general intelligence, a technology that enables AI systems to perceive, reason and act within physical environments. Its applications span robotics, autonomous driving and industrial automation. Existing clients include FAW Group, one of China's largest state-owned automakers, e-commerce giant JD.com and state postal operator EMS. GigaAI did not disclose the offer price, deal size, lead underwriters or a specific listing date for its Hong Kong IPO. The proposed ticker and listing board also remain undisclosed. Cornerstone investor details and use of proceeds allocation have not yet been announced. The company's $30 billion valuation would surpass most Chinese AI startups, placing it among the top tier of global AI companies by market value. The listing would add another high-profile Chinese AI company to Hong Kong's exchange, which has seen a recovery in technology listings after a prolonged downturn. At a $30 billion valuation, GigaAI would command a significant premium over many technology peers listed in Hong Kong. The deal will test institutional demand for world model technology, a niche but fast-growing segment of the AI industry. The world model market is emerging as a key battleground in AI development, with companies like Nvidia and Tesla also investing in physical AI technologies. The company's ability to attract cornerstone investors will signal market confidence in the physical AGI sector. Investors will watch for the final pricing range and the listing date as the next catalysts for the deal. This article is for informational purposes only and does not constitute investment advice.

Jul 21 2026, 03:33

Chinese AI models reach 3 trillion parameters as domestic chip production looms

At the World Artificial Intelligence Conference in July, six Chinese AI labs unveiled models with 2 trillion to 3 trillion parameters, matching the scale of Claude Opus 4.8 while charging a fraction of the price. "The US moat in building frontier AI software is not as durable as many of us had hoped," said Ryan Fedasiuk, a fellow at the American Enterprise Institute. "We should expect Chinese AI labs to continue distilling and freely releasing a version of the American frontier at a pace just weeks behind US labs." Moonshot AI's Kimi K3, the most prominent of the new releases, packs 2.8 trillion parameters and a 1 million-token context window — enough to process entire books in a single query. Alibaba's Qwen3.8Max preview, at 2.4 trillion parameters, and DeepSeek's forthcoming V4 official version joined a lineup that also included Z.AI's GLM-5.2, MINIMAX's M3 and H3, and Tencent's HY3. The UK AI Safety Institute found that open-weight models now trail the frontier by four to seven months, down from six to 10 months through most of 2025. The rapid iteration comes as Huawei prepares mass production of its Ascend 950 series in the second half of 2026, a development CMSI said will become a "significant catalyst" for large-model efficiency by driving down inference costs and improving gross margins for Chinese AI companies. CMSI maintained a "Strongly Recommend" rating on the sector. Kimi K3's public debut illustrated both the progress and the constraints. Social media users demonstrated the model generating a browser-based version of macOS in minutes, drawing comparisons to frontier US models. Yet Moonshot CEO Yang Zhilin added a line to the release notes acknowledging a "noticeable gap" between K3 and leading US models. On launch day, more than 60 percent of users who logged into Kimi's web portal encountered errors, according to Fedasiuk, because Moonshot lacked sufficient access to high-end computing infrastructure. "K3 is an extremely large and computationally demanding model," Fedasiuk said. "At nearly 3 trillion parameters, it requires nearly an entire server rack of high-end AI chips to run on." ## Domestic Chip Production Targets the Infrastructure Bottleneck The computing gap is where Huawei's Ascend 950 series enters the picture. Chinese chipmakers including Huawei and Alibaba's T-Head have shifted from competing on single-chip specifications to building "supernodes" that interconnect hundreds to thousands of chips into unified computing pools, using architectural innovation to offset the performance gap of individual processors. CMSI expects mass production of the Ascend 950 in the second half of 2026 to meaningfully reduce inference costs and improve gross margins for model companies. The competitive field extends beyond infrastructure. CMSI identified Alibaba's full-stack AI capabilities, Tencent's consumer ecosystem advantages, Kuaishou's Kling AI video generation model, Z.AI's leading coding model, and MINIMAX's native full-modality capabilities as key investment themes. API pricing for Chinese models remains markedly below US counterparts, a gap that could widen as domestic chip production scales. The political backdrop adds another dimension. The Trump administration has loosened chip export controls — allowing Nvidia to sell more chips to China in exchange for a government cut — while simultaneously announcing efforts in April to curb distillation, the practice of training AI models on outputs from US frontier models. The weekend before WAIC, David Sacks, the former AI and crypto czar, criticized top US AI companies that "want the government to eliminate their open source competition," while Emil Michael, a top Pentagon official, called OpenAI's new head of strategic futures a "supreme village idiot" in a dispute over how to respond to the Chinese open-source challenge. For investors, the calculus is shifting. Alibaba trades at a discount to US cloud peers despite its full-stack AI positioning. Tencent's consumer ecosystem gives it a distribution advantage for AI products that US social platforms lack. And the mass production of domestic chips could compress inference costs by a magnitude that makes Chinese AI services structurally cheaper than US alternatives — a dynamic that threatens the pricing power of OpenAI and Anthropic in global markets. This article is for informational purposes only and does not constitute investment advice.

Jul 21 2026, 03:22

Ant International raises $1.2 billion in Series A funding round

**Ant International's $1.2 billion Series A marks one of the largest fintech fundraising rounds of 2026, funding a direct challenge to Western payment giants in cross-border markets.** Ant International raised $1.2 billion in a Series A round backed by Ant Group, Alibaba Group and international investors, funding an expansion into cross-border payments and AI-driven financial services that threatens PayPal and Stripe's hold on global merchant processing. "This shifts the focus from individual efficiency to a wholesale upgrade of the organization's collective productivity," Ant Group Chief Executive Cyril Han said at the World Artificial Intelligence Conference in Shanghai, speaking about the broader push into AI-powered financial tools. Ant International did not disclose its valuation or revenue figures. The round included existing shareholders Ant Group and Alibaba Group alongside multiple unnamed international investment institutions. Proceeds will fund global business expansion, accelerate AI technology deployment and broaden cross-border payment and digital account services for merchants worldwide. Ant International operates payment and financial services across Southeast Asia, the Middle East and Latin America, processing transactions for businesses that span Alibaba's e-commerce ecosystem and third-party platforms. The fundraising comes as Chinese fintech companies gain traction abroad by offering lower processing fees than US rivals. Ant International's parent processed over $1 trillion in annual payment volume before its regulatory restructuring, giving it the infrastructure to undercut Western competitors on price. For investors, the question is whether Ant International can replicate its domestic dominance overseas without triggering the same regulatory scrutiny that halted Ant Group's $37 billion IPO in 2020. Ant International's Series A arrives at a moment when Chinese technology companies are aggressively expanding their financial services footprint overseas. The company, carved out of Ant Group's international operations, provides cross-border payment processing, digital wallets and merchant services in more than 200 countries and regions. The $1.2 billion raise ranks among the largest fintech Series A rounds globally. Ant Group's planned 2020 IPO was scuttled by Beijing's crackdown on internet platforms, and the company has since undergone a sweeping restructuring that included converting itself into a financial holding company under central bank supervision. Ant International was largely insulated from those domestic regulatory pressures because its operations sit outside China's financial system, allowing it to court international investors who remain wary of China's regulatory environment but see opportunity in emerging-market payments. The company's competitive advantage lies in its connection to Alibaba's e-commerce ecosystem. Merchants selling through Alibaba's platforms can access Ant International's payment infrastructure, settlement tools and currency conversion services as an integrated package — a bundle that rivals like PayPal and Stripe cannot easily replicate. Alibaba's fiscal 2025 revenue of RMB 996.3 billion ($138.3 billion) provides a substantial base of transaction volume for Ant International to build upon. Ant International's focus on AI investment also aligns with a broader industry trend. At the World Artificial Intelligence Conference in Shanghai, Ant Digital Technologies — a sister company under the Ant Group umbrella — presented Agentar 2.0, a platform with 200 pre-built digital expert templates and hundreds of agent tools designed for enterprise use. The AI push suggests Ant International plans to automate aspects of cross-border compliance, currency conversion and fraud detection, potentially lowering its cost per transaction below what traditional payment processors can achieve. The competitive stakes are high. PayPal processed $1.6 trillion in total payment volume in 2025, while Stripe handled over $1 trillion. Both companies have invested heavily in AI and cross-border capabilities. But Ant International's cost structure — built on Alibaba's cloud infrastructure and China's lower engineering salaries — could allow it to offer merchant processing fees significantly below the industry standard of 2.5 percent to 3.5 percent per transaction. For Western payment companies, the threat is twofold. Ant International can undercut on price while also offering superior integration with the world's largest e-commerce market. For merchants in Southeast Asia, the Middle East and Africa, where payment processing costs eat into already thin margins, a cheaper alternative from a well-capitalized Chinese competitor could prove attractive. Ant International did not disclose its current total payment volume, revenue, take rate or user count. The company also declined to name the international investors participating in the round or provide a post-money valuation. A timeline for deploying the funds was not specified. This article is for informational purposes only and does not constitute investment advice.