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.
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.
The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.
Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.
In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.
Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.
Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.
Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.
Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.
Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.
The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.
The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.
While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.
M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.
Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.
Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.
Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.
The infrastructure supporting global commerce is undergoing a major technological upgrade as real-time digital payment rails, cross-border settlement solutions, and Central Bank Digital Currency (CBDC) pilot programs achieve widespread commercial adoption. Financial institutions and fintech developers are reimagining payment processing to eliminate friction, lower transaction fees, and accelerate settlement speed.
Transforming Cross-Border Settlement Infrastructure
For decades, international corporate payments relied on legacy correspondent banking networks characterized by multi-day settlement delays, opaque fee structures, and high foreign exchange markups. In 2026, modern cross-border payment networks are enabling near-instantaneous settlement for international trade transactions.
Financial technology platforms are leveraging distributed ledger technology and real-time gross settlement (RTGS) interconnections to settle transactions in seconds. International trade participants benefit from reduced working capital requirements and minimized foreign exchange volatility risks during cross-border transfers.
Commercial Expansion of Central Bank Digital Currencies
Central banks representing major global economies are advancing CBDC initiatives from research phases into active commercial deployment. Wholesale CBDCs—designed specifically for interbank settlement and financial institution clearing—are demonstrating substantial efficiency gains in domestic and international transactions.
At the retail level, several nations have introduced public digital currency options alongside existing commercial banking networks. These sovereign digital payment channels aim to expand financial inclusion, lower consumer transaction fees, and improve the efficiency of government-to-citizen financial disbursements.
Open Banking and Embedded Finance Ecosystems
Alongside settlement infrastructure upgrades, open banking regulations and embedded finance frameworks are transforming merchant-consumer interactions. Commercial businesses across retail, travel, and business-to-business (B2B) services are integrating seamless payment APIs directly into their customer software interfaces.
Through open banking frameworks, consumers can initiate secure bank-to-bank payments without relying on traditional credit card networks, significantly reducing merchant processing fees. Integrated Buy-Now-Pay-Later (BNPL) options and point-of-sale credit facilities continue to expand, driving higher conversion rates for digital commerce platforms.
Strategic Financial Takeaways
1. Treasury Optimization: Corporate treasurers should leverage instant cross-border payment platforms to minimize liquidity buffers and foreign exchange exposure.
2. CBDC Integration: Financial institutions must prepare internal core banking systems to interface with emerging wholesale CBDC payment rails.
3. Merchant Fee Reduction: Enterprise merchants can lower payment processing overhead by adopting account-to-account (A2A) open banking checkout solutions.