Nvidia CEO Jensen Huang attends a roundtable discussion at the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris on June 11, 2025.
Sarah Meyssonnier | Reuters
BEIJING — Nvidia CEO Jensen Huang praised China’s generative artificial intelligence models, a day after the U.S. chipmaker said it expected to resume sales of a key AI chip to the country soon.
“Models like DeepSeek, Alibaba, Tencent, MiniMax, and Baidu Ernie bot are world class, developed here and shared openly [and] have spurred AI developments worldwide,” Huang said. He was speaking Wednesday at the opening ceremony of a supply chain expo in Beijing. He is scheduled to hold a press conference later in the day.
“More than 1.5 million developers in China build on Nvidia today to bring their innovations to life,” he said.
China-developed DeepSeek shocked global investors in January with an AI model that undercut OpenAI on development and operating costs. It’s not clear how DeepSeek managed to develop the model under broad U.S. chip restrictions on China, but the startup’s parent, High-Flyer, reportedly stockpiled Nvidia chips.
Nvidia on Tuesday said it expected to resume its H20 chip shipments to China soon following assurances from the U.S. government. The company was forced to halt the sales in April due to new U.S. requirements at the time.
U.S. chip restrictions nearly halved Nvidia’s share in China, Huang said in May. Due to the U.S. export controls on China, the company said it missed out on $2.5 billion in sales during the April quarter, and will likely take another $8 billion hit in the July quarter, pegging its quarterly sales at $45 billion.
Huang has warned that Chinese telecoms giant Huawei stands to benefit from U.S. AI chip curbs on exports to the Asian country.
In the global race for AI, Chinese companies Alibaba, Tencent and Baidu have all rushed to release their own AI models despite limited access to training chips. OpenAI’s ChatGPT chatbot is also not officially available in China.
Praise for open-source approach
Huang on Wednesday also praised Chinese companies for taking an open-source approach to AI, meaning developers can access the underlying code for free. Notably OpenAI in the U.S. has not yet taken this approach. Alibaba-backed startup Moonshot last week released a new open source model called Kimi K2 that claims to beat OpenAI’s ChatGPT and Anthropic’s Claude on certain coding metrics.
“China’s open-source AI is a catalyst for global progress, giving every country and industry a chance to join the AI revolution,” Huang said. He added that open-source technology is also “key” for AI safety and enables international cooperation on standards.
Huang also described how AI “powers” Chinese consumer tech such as Tencent’s WeChat social media app, Alibaba’s Taobao shopping app, ByteDance’s Douyin short-video app and Meituan’s “super convenient” delivery.
The latest U.S. government restrictions on Nvidia had followed tighter export controls over the last three years that prevent American companies from selling advanced semiconductors to China over concerns that the tech will support the development of Beijing’s defense sectors.
Huang has pushed back against concerns that China’s military would use U.S. technology, and emphasized global access was needed for the country to remain a world leader in AI, according to an interview with CNN that aired Sunday.
Following U.S.-China trade talks in London last month, the U.S. has started to ease some restrictions on high tech exports to China, while Beijing has resumed some issuance of licenses that allow its companies to export critically needed rare earths to the U.S.
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.
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.
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.