Connect with us

Finance

Chinese AI applications are looking to move beyond chatbots

Published

on

The World Artificial Intelligence Conference in Shanghai on July 6, 2023.

Aly Song | Reuters

BEIJING — A slew of releases last week demonstrate how Chinese companies such as DeepSeek and ByteDance have moved quickly with artificial intelligence models that compete with OpenAI’s ChatGPT.

Now, many companies in China are increasingly building on that foundation to develop products that look to go beyond a chatbot.

Baidu, best known for its search engine and Ernie chatbot, said Tuesday its generative AI-integrated Wenku platform for quickly creating powerpoints and other documents had reached 40 million paying users, with revenue up 60% from a year ago as of the end of last year. Updated features, such as using AI to generate a presentation based on a company’s financial filing, started being rolled out to users in the last week.

On the corporate side, Gartner data and analytics director analyst Ben Yan estimates more than 10% of businesses in China are using AI, up from 8% about six months ago. That would be a pickup in pace — the last 2 percentage point increase in adoption took more than a year, he said Wednesday.

“With our clients, we hear more and more success stories,” he said in Mandarin translated by CNBC. Yan noted that so-called AI agents will help speed up corporate implementation of the new tech.

Scale AI CEO Alexandr Wang on U.S.-China AI race: We need to unleash U.S. energy to enable AI boom

AI models focus on specific functions such as search and generating summaries, whereas AI agents are more advanced — they can automate entire processes from searching to booking. One example is OpenAI’s new “Operator” function that claims to be able to make restaurant reservations on behalf of a ChatGPT user.

AI agents are also on the verge of coming to the Chinese market at scale.

Tencent plans to soon integrate AI agents with its messaging and social media app WeChat, CEO Pony Ma told staff in a Jan. 13 speech, according to a copy of the annual address seen by CNBC.

“We believe that China’s AI sector is advancing at a pace comparable to that of the United States,” Jo Huang, head of private equity at Raffles Family Office, said in an email. She said the firm is considering investing in a leading China AI deep tech fund in order to capture the local opportunity.

The development of Chinese AI applications creates features that are being integrated with domestic smartphones. Apple’s AI intelligence functions have yet to come to iPhone users in China.

“There is also a shift towards a growing user preference for local brands that can offer advanced AI features tailored to regional consumer preferences,” Wei Sun, principal artificial intelligence analyst at Counterpoint Research, said in an email Thursday.

She pointed out that Chinese smartphone companies such as Honor, Xiaomi and Vivo have been able to improve user experience of AI features, thanks to efforts to improve the efficiency of AI models that can run on the device without relying heavily on an internet-connected cloud service.

Compliance hurdles

The latest developments also reflect a difference in regulatory scrutiny with the U.S., and with the kind of technology being created.

Baidu’s ChatGPT-like Ernie bot didn’t get Beijing’s green light for a public rollout until August 2023, nearly one year after ChatGPT took the world by storm.

While AI models must get official certification for use in China, using them in applications is much easier, said Alex Lu, founder of Shanghai-based LSY consulting. On the side, he is working with a small team on an AI-powered tool for giving companies targeted daily insights on industry trends and global regulations, similar to the work of a human consultant.

Half a year after development began in June 2023, Lu said the team began testing a product for free with potential customers, including a manufacturer of car batteries. That has provided the feedback for a product the team hopes to charge 70,000 yuan to 100,000 yuan ($9,660 to $13,790) in annual license fees, Lu said.

But a bigger challenge can be getting companies to give AI access to proprietary data, or using AI-generated content commercially.

“I think [multinational corporations are] much more cautious than Chinese brands because of copyrights and legal issues,” Chris Reitermann, CEO of Ogilvy Asia-Pacific and Greater China, told CNBC late last year. He is also president of WPP China.

He said clients attempted to use AI for campaigns, only to run into compliance issues that prevented the projects from being launched. “Local brands, they may be a little less worried about these issues, more trial and error,” he said.

AI for global users

Some China-created AI applications are also being used overseas. Alibaba‘s international arm announced earlier this month that Accio, its AI-powered search engine for product sourcing, had reached 500,000 small business users.

Launched in November, Accio lets businesses use a few text or image prompts to find wholesale products — and provides them with analysis on their popularity with consumers and projected profit.

Accio cut the research time down from weeks to a day or so, said Mike McClary, who got early access to Accio and has sold camping lanterns and other products online for more than 10 years. McClary, CEO of amazing.com, claims e-commerce sales of more than $1 million a year and is based outside of St. Louis, Missouri.

He said Alibaba.com and Amazon, which he previously used, involved going through hundreds or thousands of results, and then individually negotiating with five to 10 suppliers before settling on one. The “next gamechanger,” McClary said, would be to use AI to put an image of a product into any scenario to create an advertisement.

Continue Reading

Finance

Treasury Yields Rise as Fed Cut Expectations Shift

Published

on

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.

Continue Reading

Finance

Private Credit Expansion Transforms Corporate Loans

Published

on

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.

Continue Reading

Finance

Tokenized Debt Shifts How Corporate Manage Short Term Liquidity

Published

on

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.

Continue Reading

Trending