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China’s AI models lag their U.S. counterparts by 6 to 9 months, says former head of Google China

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Kai-Fu Lee, chairman and chief executive officer of Sinovation Ventures, speaks during the HICOOL Global Entrepreneur Summit on September 11, 2021 in Beijing, China.  

China News Service | China News Service | Getty Images

BEIJING — Chinese artificial intelligence models may be at least half a year behind those developed in the U.S., but Chinese AI apps will likely take off much faster, said Kai-Fu Lee, former head of Google China.

He was referring to large language models, which are trained on massive amounts of data that can process and produce text, images and videos.

The top Chinese companies’ LLMs are about six to nine months behind their U.S. counterparts, while less advanced Chinese models may lag the U.S. by about 15 months, Lee said. He was speaking at the AVCJ Private Equity Forum China on Wednesday.

Lee, author of “AI Superpowers: China, Silicon Valley, and the New World Order,“ is a widely followed commentator on AI, and is the founder of startup 01.AI as well as venture capital firm Sinovation Ventures.

“Apps, I would predict, by early next year will proliferate in China much faster than in the U.S.,” Lee said, noting that the cost of training a good AI model has fallen significantly.

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“It’s inevitable that China will [build] the best AI apps in the world,” he said. “But it’s not clear whether it will be built by big companies or small companies.”

Lee, whose startup is focused on search apps right how, said it may take five to eight years to take generative AI consumer applications to the next level — a single “super app” that can perform multiple tasks.

The industry will likely need completely new devices versus existing smartphones, he said, adding “the right device ought to be always on, always listening.”

Major Chinese companies such as Alibaba and Tencent have released their AI models and business products. These companies and investors have also backed several AI startups.

Beijing-based ShengShu Technology, backed by Alibaba-affiliate Ant Group, announced Wednesday that its text-to-video model Vidu has introduced a new feature for improving how a main element or character in AI-generated clips can be portrayed consistently, without distortion. That can enable advertisers to create promotional videos for their products.

Vidu was released earlier this year and its basic tools are open to the public, with more advanced capabilities available via subscription. Co-founder and CEO Jiayu Tang told reporters Wednesday that several companies were interested in buying ShengShu’s services, and were not just exploring the tech.

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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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