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Where is Nvidia? Chinese rivals take the limelight at major AI event

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Chinese telecoms giant Huawei showed off its Ascend chips and system for powering artificial intelligence models at the World AI Conference in Shanghai on July 26, 2025.

CNBC | Evelyn Cheng

BEIJING — Less than two weeks after Nvidia CEO Jensen Huang’s high-profile visit to Beijing, the U.S. chipmaker was conspicuous by its absence at China’s biggest AI event of the year.

Despite renewed hopes this month of selling its less advanced H20 chips to China again, Nvidia didn’t have a booth at the World AI Conference that opened Saturday in Shanghai. The company declined CNBC’s request for comment.

In contrast, Nvidia’s China rival, Huawei, had a large display — focused on its Ascend AI chips — near the venue entrance. Huang has called Huawei “one of the most formidable technology companies in the world,” while warning that it could replace Nvidia in China if U.S. sticks with its export curbs on Beijing.

The telecoms giant showed off for the first time the hardware for its computing system that links 384 Ascend chips together to power AI model training and use. Huawei is marketing the product as “Atlas 900 A3 SuperPoD.”

Earlier this year, research firm SemiAnalysis pointed out that even though one Ascend chip may be less powerful than Nvidia’s most advanced Blackwell chip, an early look at a Huawei system similar to the one unveiled in Shanghai more than offsets the disparity by piling in five times more chips than Nvidia does in its GB200 computing system. But there’s an efficiency cost as Huawei’s systems require far more power than Nvidia’s to operate, the report said.

Huawei is far from being the only Chinese player in the complex supply chain for advanced chips. For example, semiconductor designer Moore Threads and startup Yunsilicon both had booths at the AI expo center in Shanghai.

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Many of the exhibitors from startups to giants such as Tencent and Alibaba showed off AI applications in robotics, smart glasses and translation apps. Overall, there was less talk at the expo about needing Nvidia to power their products.

Internet tech company NetEase‘s Youdao business displayed a handheld bar device that uses AI to help students study material including that for college entrance exams.

The device currently uses both AI based in the cloud and “edge” AI that runs on the device, said Gao Huituan, product manager of educational learning hardware at Youdao.

Looking ahead, he said that new AI chips are becoming more power efficient and are able to support different types of products.

While Nvidia’s chips focus more on cloud computing power, “many domestically made, very excellent chip manufacturers are working on some edge devices,” he said in Mandarin, translated by CNBC. “Now everyone has relatively good computing power.”

Straddling tech tensions

Nvidia has become the world’s most valuable company, riding on the demand for its chips that have been heled drive the latest generative AI breakthroughs.

The company had to stop sales to China in April due to new U.S. restrictions, following tougher export controls over the last three years aimed at reducing China’s AI capabilities and which have prevented Nvidia from selling its most advanced chips to the country. The company tailored the H20 for China, which Huang has said is a $50 billion market.

Tesla, Google, Amazon Web Services and Siemens were among the U.S. and European companies with booths at the AI conference in Shanghai.

Nvidia had a booth in Beijing earlier this month at an annual supply chain conference, which coincided with Huang’s third visit to China this year and news that the U.S. will allow the chipmaker to resume sales of the H20 chips to China.

But the company has not shared when shipments would begin or how many orders it had received from Chinese customers.

“Nvidia is the model in (AI) GPU development for the short to medium term not just because of H20, but also because of flagship products like the GB300,” Phelix Lee, senior equity analyst at Morningstar, said in an emailed statement. “The return of H20 could help Nvidia to remain as the de facto standard in AI datacenter systems, especially when domestic alternatives are lurking.”

Beijing has been striving to boost tech self-sufficiency as it has faced U.S. restrictions accessing high-end tech. The country over the weekend also took another step toward promoting its AI standards globally. 

Chinese Premier Li Qiang announced plans for a global AI cooperation organization during a speech at Saturday’s opening ceremony. The initial headquarters will likely be in Shanghai, state media said.

The plans come just days after U.S. President Donald Trump announced an American action plan for AI that included calls to reduce alleged “woke” bias in AI models and support the deployment of U.S. tech overseas.

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Treasury Yields Rise as Fed Cut Expectations Shift

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Treasury Yields Rise as Fed Cut Expectations Shift

Fixed-income markets recorded significant re-pricing during the week ending July 25, 2026, as a convergence of strong labor market metrics and surging energy costs drove U.S. Treasury yields higher across all maturities. The benchmark 10-year Treasury yield climbed toward 4.70%, reaching its highest point in several months. Institutional bond investors rapidly adjusted portfolio durations as expectations for near-term interest rate cuts by the Federal Reserve faded in response to inflation concerns.

The upward shift in sovereign yields reflects a broader fundamental reassessment of global monetary policy. Earlier in the quarter, money markets had priced in a series of rate reductions designed to support economic activity. However, with initial jobless claims falling to 187,000 and crude oil breaching $100 per barrel, fixed-income traders are pricing in a ‘higher-for-longer’ interest rate environment. The inversion between short-term Treasury bills and long-term bonds narrowed, indicating a shift toward term premium expansion.

Rising Treasury yields present both challenges and opportunities for institutional wealth managers. While commercial lenders and mortgage origination volumes face headwinds from elevated borrowing costs, fixed-income investors are locking in attractive real yields on high-quality sovereign and investment-grade corporate bonds. Institutional debt issuers, conversely, are recalibrating their capital structures, opting for shorter-term refinancing instruments or private credit facilities to avoid committing to elevated long-term coupon rates.

Navigating the current bond market landscape demands strict duration management and credit selection. Wealth advisors recommend maintaining flexible fixed-income allocations, combining short-duration Treasuries with inflation-protected securities (TIPS) to shield capital against potential energy-driven inflation spikes while earning dependable nominal income.

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Private Credit Expansion Transforms Corporate Loans

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Private Credit Expansion Transforms Corporate Loans

Private credit markets reached a pivotal milestone during the week ending July 25, 2026, as non-bank direct lending consortiums captured a record share of middle-market corporate debt originations. With commercial banks maintaining conservative credit standards and public bond yields remaining elevated, corporate borrowers are increasingly turning to private fund managers for customized capital solutions. This expansion marks a permanent structural shift in enterprise finance, establishing private credit as a primary pillar of institutional corporate liquidity.

The acceleration of private credit deals is driven by speed, deal certainty, and flexible terms. Unlike traditional syndicated bank loans that require lengthy underwriting, credit rating approvals, and public roadshows, private direct lenders can structure tailored financing packages within days. Middle-market firms facing upcoming debt maturities are utilizing private debt facilities to execute recapitalizations, strategic acquisitions, and growth capital deployments without risking execution delay in public markets.

However, financial regulators and central bank supervisors are scrutinizing the sector’s rapid growth. Supervisory agencies are evaluating potential systemic risks associated with non-bank leverage, valuation transparency, and liquidity mismatches during economic downturns. Despite regulatory interest, major pension funds, insurance firms, and sovereign wealth entities continue to expand capital allocations to private credit funds, attracted by reliable floating-rate yields that outperform public fixed-income benchmarks.

As private credit matures into a dominant asset class, corporate chief financial officers must evaluate non-bank lenders alongside traditional banking relationships. Direct lending partnerships provide valuable balance sheet resilience, enabling companies to secure flexible financing terms even during periods of public market turbulence.

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Tokenized Debt Shifts How Corporate Manage Short Term Liquidity

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Tokenized Debt Shifts Corporate Liquidity

The landscape of institutional debt markets is undergoing a profound structural shift on July 21, 2026, as major corporate issuers and commercial banks rapidly accelerate the deployment of tokenized debt instruments. Data published by leading capital market consortiums indicates that primary issuances of digital commercial paper and tokenized corporate bonds have reached record volumes this month. By moving legacy debt origination, underwriting, and secondary distribution onto permissioned distributed ledgers, corporate treasurers are unlocking unprecedented operational flexibility and instantaneous cross-border liquidity.

The adoption of tokenized debt is fundamentally altering how enterprise balance sheets manage short-term liquidity needs. Traditional corporate bond settlement cycles historically required multi-day clearing processes involving numerous intermediaries, custodial entities, and clearinghouses. Through programmable smart contracts on distributed ledgers, issuers can now execute atomic settlement—enabling continuous, 24/7 access to institutional capital pools. This instantaneous clearing mechanism drastically reduces counterparty risk, eliminates costly settlement friction, and allows treasury teams to dynamically optimize working capital in real time.

A major catalyst driving this institutional migration is the establishment of comprehensive digital asset regulatory frameworks across major financial hubs. Clear legal guidelines regarding ledger-based securities ownership have provided institutional compliance officers with the regulatory confidence necessary to transition multi-billion-dollar liquidity facilities onto digital platforms. Furthermore, the integration of automated regulatory reporting directly into token smart contracts simplifies ongoing compliance audits, ensuring that secondary market trades automatically enforce investor accreditation limits and tax withholding requirements.

For chief financial officers and institutional portfolio managers, tokenized debt represents a fundamental evolution in fixed-income strategy. Companies that embrace ledger-based debt structures gain direct access to a broader, global base of digital-native institutional investors while substantially reducing borrowing overhead. As ledger interoperability continues to improve across global exchanges, tokenized debt is poised to become the standard infrastructure for global corporate finance.

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