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Honor launches AI phone tools that help users get online shopping discounts

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Chinese smartphone company Honor announced on Oct. 15 a slew of new AI features, including the ability to compare deals across different e-commerce sellers.

CNBC | Evelyn Cheng

BEIJING — Imagine if Amazon gave 20% discounts for every purchase made using an iPhone Air.

That’s essentially how Chinese smartphone company Honor wants to attract local buyers — by giving them an on-device AI tool that lets them quickly compare deals across Chinese e-commerce sites, including JD.com and different merchants on Alibaba‘s Taobao. In one example seen by CNBC, the Honor AI-powered shopping search helped save 20% since the tool was able to find coupons that a user might otherwise overlook.

The features and a slew of other AI functions are set to roll out Wednesday on Honor’s newly launched Magic8 smartphone as well as the company’s other devices in China. The timing is notable. China is entering its busiest shopping season of the year akin to Black Friday: the Nov. 11 Singles Day promotional period.

With the AI upgrade, Honor expects to climb into the top three smartphone brands by market share in mainland China by the end of this year, Fei Fang, president of products at Honor Device, told CNBC in an exclusive interview. That’s according to a CNBC translation of the remarks made in Mandarin.

In the future, she expects that rather than opening smartphone apps directly, users will increasingly access the functions via an AI portal — which can then automatically provide customized services down the road.

“We believe this will happen and we are working along this direction,” she said, noting Honor will release more AI features in sports, health and companionship at its own ecosystem conference on Oct. 23.

Honor’s AI features are activated through the company’s “Yoyo” chatbot, which sits inside the company’s Android-based operating system called MagicOS.

Zino: Apple must get the AI story right to drive the next upgrade cycle

While Honor said the overseas market has come to account for about half of its revenue, the Shenzhen-based company must first take on Apple to recover the first spot in China.

In the second quarter of this year, Huawei and Vivo shipped the most phones in China with 18% market share each, while Oppo and Xiaomi vied for second place at 16% share each, Counterpoint data showed. Apple had 15%, followed by Honor at 13%.

Apple has tried to make a comeback in China this year. CEO Tim Cook visited Shanghai this week, according to his social media account, coinciding with news that the slim iPhone Air would finally begin sales in China this month — weeks after the new iPhone 17 hit stores.

However, the U.S. smartphone giant has yet to release its AI features in China, despite Alibaba Group Chair Joe Tsai’s announcement this year that the company would work with Apple on the tech tools. Neither side has yet released additional details.

AI chatbots

Honor, which spun off from Huawei in 2020, signed a strategic partnership with Alibaba in September to co-develop AI smartphone features. Alibaba operates the Gaode maps app in China, a Fliggy travel booking platform, as well as the Taobao and Tmall e-commerce platforms.

Fang emphasized that shopping is just one of many AI functions that Honor is releasing this week. Other tools include guiding users on how to take the best photo angle, suggesting nearby restaurants from just a photo of a specific location and hailing a taxi using a simple voice command.

With a prompt as vague as “book me a ride back home,” the tech learns from on-device data and user preferences to automatically know what the home address is. Personal information stays on the smartphone and isn’t transferred to the cloud, Honor said. When it comes to payments, the user still needs to manually approve it, even if the AI helps with making the online order.

The new AI features for China users also come as ChatGPT is starting to let U.S. users shop on Etsy, and soon Walmart, through the AI chatbot interface. Other AI chatbots can also search the internet for specific products.

It remains to be seen whether AI will be consistently useful for consumers. But Honor said its edge comes from using AI to complete multiple steps, including accounting for individual e-commerce memberships and personalized coupons, to show consumers the cheapest option — with a prompt as simple as asking for the best deal on a product.

Honor said most of its new AI features are based on a self-developed graphical user interface (GUI) AI model that learns from how a human interacts with a smartphone screen and across apps.

The company claimed that the AI’s ability to learn has enabled rapid expansion from 200 tasks in July to more than 3,000 this fall.

In other cases, Honor said it has agreements with companies such as food delivery giant Meituan and video-streaming platform Bilibili to allow the phone’s AI to interact with the Chinese apps’ systems using the “Model Context Protocol (MCP)” tech pioneered by Anthropic.

Spending big first

Honor also incorporates some AI functions from other companies, such as Kuaishou‘s Kling AI video generation model. Since Kling and other tools charge per use, that comes at a cost to the smartphone company, which is offering the features to consumers for free right now, according to Fang.

“This is one of our current challenges,” Fang said. “We have invested quite a lot of money in AI. But we believe we must first create value for consumers before commercialization.”

Honor announced in March it would spend $10 billion on AI over the next five years. The company indicated it would make a significant portion of the initial investment this year.

The spending is part of Honor’s ambitious plan announced in March to become an AI device company — and a platform to connect companies with consumers. Like Apple, Honor also sells smart watches, tablets and laptops.

Outside of China, Honor works with Google for AI and is ranked fourth by market share in Europe as of the second quarter, according to Counterpoint.

While Honor doesn’t have immediate plans to roll out AI-powered shopping overseas, the company at the Mobile World Congress in Barcelona in March showed off an AI agent for making restaurant reservations on OpenTable.

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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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Private Credit Expansion: How Alternative Lending Platforms Are Reshaping Corporate Liquidity

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How Alternative Lending Platforms Are Reshaping Corporate Liquidity

Private credit has firmly established itself as a foundational pillar of global financial markets in 2026, transitioning from an alternative asset class into a dominant mechanism for middle-market corporate financing. Reports published in mid-July 2026 show that direct lending assets under management have expanded significantly, as corporate borrowers increasingly bypass traditional syndication desks in favor of customized private debt solutions. This structural migration has fundamentally altered corporate liquidity dynamics, providing middle-market enterprises with reliable access to tailored capital packages even during periods of regulatory bank tightening.

The primary driver of this continued growth is the structural flexibility inherent in private debt agreements. Unlike public bond markets or conservative commercial bank loans—which often carry rigid covenants and slow underwriting timelines—private credit funds offer speed of execution, flexible payment-in-kind structures, and customized debt-service frameworks. For companies undertaking strategic acquisitions, capital expenditures, or complex balance sheet recapitalizations, the ability to negotiate directly with a unified syndicate of private lenders provides significant certainty and confidentiality.

However, the expansion of private credit is attracting heightened regulatory attention and risk scrutiny. Financial regulatory bodies are closely evaluating the lack of secondary market price discovery and the potential concentration of illiquidity risks within non-bank financial institutions. Because private debt instruments are held to maturity and marked to model rather than marked to market, evaluating real-time enterprise valuations during economic shifts requires robust internal credit assessment standards. Analysts note that as loan portfolios mature, performance variations between disciplined lenders and aggressive underwriters will become increasingly apparent.

For corporate financial officers and institutional portfolio managers, private credit represents both a powerful strategic tool and a vital diversification strategy. Borrowers must weigh the higher nominal coupon rates of private debt against the tangible value of operational flexibility and execution certainty. Meanwhile, investors must maintain rigorous credit due diligence, prioritizing funds with proven restructuring capabilities and deep operational expertise in underwriting resilient middle-market businesses.

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Tokenized Real-World Assets: Institutional Ledger Adoption Achieves Scale in July 2026

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Institutional Ledger Adoption Achieves Scale in July 2026

The integration of blockchain technology with legacy financial markets has reached a decisive tipping point in July 2026, driven by the rapid scaling of Real-World Asset (RWA) tokenization. Major global investment banks, custodial entities, and asset managers are actively shifting sovereign debt, commercial paper, and private fund shares onto permissioned distributed ledgers. Recent industry data confirms that the aggregate market capitalization of tokenized treasury products and private credit funds has surged past major milestones, illustrating that ledger-based settlement is no longer experimental, but core financial infrastructure.

The fundamental value proposition of asset tokenization rests on operational efficiency, continuous liquidity, and automated compliance execution. By embedding regulatory checks, investor accreditation limits, and automated coupon distributions directly into smart contract code, financial institutions eliminate vast amounts of manual back-office reconciliation. Furthermore, fractionalized ownership structures allow high-value asset classes—such as prime commercial real estate and private equity funds—to be split into accessible units, significantly expanding liquidity pools and enabling real-time collateral optimization.

A key catalyst behind this institutional momentum is the establishment of comprehensive regulatory clarity across major financial jurisdictions. The implementation of standardized digital asset frameworks in the United States and Europe has provided institutional compliance officers with the legal certainty required to deploy capital on-chain. As a result, premier custodian banks are now offering unified digital asset custody, seamlessly bridging traditional securities depositories with programmable ledger ecosystems.

Looking forward, the maturation of tokenized assets will continue to transform secondary market trading and treasury management. Corporate treasurers can now yield-optimize idle cash in real time by moving into tokenized money market instruments that settle instantaneously on a 24/7 basis. To remain competitive, financial leaders must ensure their institutional architectures are interoperable with modern digital ledger protocols, positioning their organizations at the forefront of modern capital market efficiency.

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