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China’s artificial intelligence boom might help mitigate some tariff pain

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Computer chip with Chinese flag, 3d conceptual illustration.

Steven Mcdowell/science Photo Library | Science Photo Library | Getty Images

BEIJING — For Chinese companies wary of U.S. tariffs, the big difference between President Donald Trump’s first and second terms is the emergence of generative artificial intelligence.

Chinese companies are hard at work. Nearly every day in the last two weeks, a Chinese firm has announced a new AI product — or how they’re making money with the tech.

To name a few:

Short-video company Kuaishou said Tuesday its AI tool for generating videos, Kling, has raked in more than 100 million yuan ($13.78 million) since its launch last summer.

Tencent last week updated its AI model for generating 3D visuals — which can be used in games or for 3D printing — and released the full version of its Hunyuan T1 reasoning model. A few weeks earlier, Tencent had integrated T1 with its Yuanbao chatbot app that also lets users tap DeepSeek’s R1.

Daily active Yuanbao users surged by 20 times in just a month, Tencent said last week. The company also shared how some farmers have used the AI app to analyze soil conditions for planting.

Apple's plan to roll out AI in China: It needs to 'revitalize,' IDC researcher says

Baidu on Monday launched tools for people to build websites and simple games with conversational prompts instead of having to write code. Kunlun Tech, parent of browser Opera, on Wednesday upgraded its Mureka app for using AI to generate music.

As a manufacturing hub, China has “great advantages in terms of ‘physical’ AI” since the country has lots of machines that can collect valuable data for training industry-specific models, Maxwell Zhou, CEO of autonomous-driving software company DeepRoute.ai, told CNBC on Friday in Mandarin, translated by CNBC.

DeepRoute.ai, launched in 2019, announced last week it was building a system for autonomous-delivery vehicles to send parcels with simple voice commands such as “pick up coffee from this store and send it to the apartment.”

Zhou said he hopes the system to be operational in China by early next year.

While it’s unclear which AI companies will ultimately succeed, analysts expect Chinese businesses stand a better chance at excelling with the help of AI applications. AI tools could cut costs for companies and offset some of the impact of an economic slowdown.

The combined impact of the tech is lifting expectations for Chinese corporate earnings growth in the year ahead, said Ding Wenjie, investment strategist for global capital investment at China Asset Management.

Earnings will signal whether the economy is really turning around, especially under the pressure of tariffs and other trade restrictions.

Goldman Sachs in early February estimated a 20% increase in U.S. tariffs on Chinese goods could shave off 5% in Chinese corporate earnings, in Hong Kong dollar terms.

The greater question for the U.S. and China, however, stretches beyond tariffs.

After a visit to China this week for a conference, New York Times columnist Thomas Friedman concluded that it was not tariffs or Taiwan that the U.S. and Chinese presidents needed to discuss immediately — but rather AI that’s as smart as humans and pervades the world.

The author of “The World is Flat” likened a possible U.S.-China collaboration on AI to the Soviet-U.S. nuclear arms control deal.

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Finance

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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