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China’s tech talent making big strides in AI, creating apps for world

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San Francisco-based AI design app Lovart officially launched Wednesday, with North American users in focus.

Lovart

BEIJING — Chinese developers are powering some of the latest artificial intelligence tools aimed at a global market.

Melvin Chen moved to San Francisco from China to co-found AI design startup Lovart, which officially launched Wednesday — after claiming “800,000 users across 70 countries” for its test version.

“We will focus on North America as the first step,” Chen said in Mandarin, translated by CNBC. He previously led China operations for CapCut, a popular video-editing app from ByteDance that still ranks first in the photo and video category in Apple’s U.S. App Store.

Lovart uses AI to generate logos, stickers and other branding visuals based on text prompts. The new version launching Wednesday includes a “ChatCanvas” feature that claims to make specific edits easier — a client might ask a professional designer to switch two icons, a task difficult to explain only with words but simple when visuals are included, Chen said.

He expects Lovart to surpass 1 million users in the week after its launch. But he said the app isn’t coming to China soon, mostly because it’s based on Anthropic’s Claude 4 AI model and others from OpenAI — both of which aren’t officially available in China.

Beijing has to give generative AI models the green light for public use and operates a stringent firewall that blocks sites such as Google and Facebook. Companies also have their own rules about where their services can be used.

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While most of Lovart’s team is based in San Francisco with the aim of better localizing the product, Chen said part of the production team is in China. He declined to share operating costs, and said the startup would seek investor funding after securing sufficient user growth.

Lovart has a free-to-use option, with monthly subscription fees of up to $90 for wider usage.

AI applications for video

In a global AI race, the U.S. government has in the last several years ramped up its restrictions on American companies selling advanced semiconductors to China. San Francisco-based OpenAI launched its ChatGPT chatbot in late 2022, and it wasn’t until January this year that China produced a clear rival with DeepSeek’s breakthrough.

But analysts have long expected China’s AI advantage would likely lie in applications rather than models, especially given that internet-based Chinese companies were able to build massive food delivery and short-video apps for the large local consumer market.

Already in AI video generation, Kuaishou’s Kling and Shengshu’s Vidu have gained global users in the last 18 months. In the realm of AI agents that can automatically perform a series of complex tasks, Manus has caught international attention.

“China-affiliated teams are increasingly influential, driven by concentrated technical talent, agile development culture, and policy support for AI commercialization,” said Charlie Dai, vice president and principal analyst at Forrester. “They excel in cost-efficient model training and rapid consumer app iteration, often prioritizing open-source accessibility.”

“Chinese models now compete globally, challenging U.S. dominance while lowering AI costs,” he said.

Another advantage is that China models such as DeepSeek and several others are open source, meaning they are free for developers to download and use.

Hugging Face, an online platform that allows people to try out open source AI models, regularly show that China models are among the top trending ones for users.

As of Wednesday, the Kimi K2 coding-focused model that was launched this month ranked first on the site, followed by Alibaba’s Qwen3 coding-focused modes that launched earlier in the day. In image-to-3D models, Tencent’s Hunyuan ranks first, while France-based Mistral’s Voxtral ranks first in audio-text-to-text.

Chen said Lovart will focus on AI for generating images and videos rather than 3D models.

“AI is the new camera … [for] capturing human imagination,” he said. He said the startup aims to build traction by holding events with the design community, including in New York, Tokyo and Europe.

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ChatGPT is by far the most popular AI app in the West, with 70 million monthly users on average in the U.S. and 144.6 million in Europe as of July, according to Sensor Tower.

Google’s Gemini was a distant second in both markets, but while Microsoft Copilot ranked third in the U.S., DeepSeek held the third spot in Europe, the data showed.

During a visit to Beijing last week, Nvidia CEO Jensen Huang said nearly all of DeepSeek’s users had downloaded the model to run it locally in countries around the world. He also emphasized that priorities for AI development are shifting.

“I think over time it will be increasingly less important which one of the models are the smartest,” he said. “It’s going to be which one of the models are the most useful.”

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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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Finance

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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Finance

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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