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China’s Alibaba claims AI translation tool beats Google, ChatGPT

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Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.

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BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.

That’s based on an assessment of Alibaba International’s new model, Marco MT, by translation benchmark framework Flores, the Chinese company said.

Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.

The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.

“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.

Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.

Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.

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Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.

When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.

Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.

Contextual clues

Since Alibaba launched the first version of its AI translation tool last fall, the company said merchants have used it for more than 100 million product listings. Similar to other AI-based services, the basic pricing charges merchants by the amount of translated text.

Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.

His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.

“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.

Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.

That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.

The Taobao app is also popular with consumers in Singapore. In September, the app launched an AI-powered English version for users in the country.

Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.

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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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