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After TikTok, Chinese businesses like Kling ramp up AI for video

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Kuaishou’s Kling AI platform generates video from text and still images.

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BEIJING — China’s video-heavy entertainment world has yielded a trove of data for companies — and they’re now ramping up money-making artificial intelligence tools for generating ads and film clips.

TikTok parent ByteDance holds the first and third spots in research firm Artificial Analysis‘ top-ranked text-to-video generative AI models, which were launched in the last two months. Google holds the second and fourth spots, while Beijing-based short video app Kuaishou’s Kling AI ranks fifth.

Despite some consolidation in other parts of the AI industry, “competition in AI video generation models is at an earlier stage, and some Chinese companies have emerged as early leaders in this space,” said Wei Xiong, China internet analyst at UBS Securities.

“We believe AI video generation has the potential to reshape the content industry,” she said, “by enhancing production efficiency, lowering barriers to creation and unlocking new monetization models.”

With such AI tools, users can upload a single image or multiple ones, and direct the AI to generate a video clip based on them. Other tools allow users to enter text, from which the AI will generate the video clip.

More than 20,000 businesses from advertisers to movie animators already use Kling AI for generating video, the Beijing-based company claimed this week during the World AI Conference in Shanghai. The latest version, Kling 2.1, can automatically add relevant sound effects to match the AI-generated video.

It’s not just for users in China.

“Whether it’s user scale or commercial revenue, overseas accounts for the majority,” Zeng Yushen, head of operations at Kling AI, told CNBC in Mandarin, translated by CNBC. She said the company plans to enhance its support for the tool in places such as Japan, South Korea and Europe.

“This is something we’ve observed, AI big models are increasingly globalized,” she said. “People don’t seem to care which country’s product it is.”

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Kuaishou claimed Kling AI made over 150 million yuan ($20.83 million) in revenue in the first three months of the year, and that daily advertising spend on generative AI tools was 30 million yuan during that time. The company has yet to announce when it will release second-quarter results. Zeng declined to share Kling AI’s model training costs.

While the reduced production cost implies a “sizeable” market, UBS’ Xiong said, “current model capabilities remain constrained by clip length, motion consistency and controllability.”

Chinese video AI companies also face competition from the U.S., beyond the Trump administration’s restrictions on China’s access to advanced semiconductors needed for training AI models.

Amazon and Google have launched tools for generating video from images or text. The releases come as Microsoft-backed OpenAI launched its video generation model Sora to ChatGPT subscribers in December — nearly a year after it had revealed its capabilities in February 2024.

However, Kling AI had already launched to the public in June 2024. Users subscribe and buy credits to generate videos.

Vidu, a rival tool from Beijing-based startup Shengshu, launched to global users roughly 12 months ago, and around March this year said it expected annual revenue of $20 million based on user subscription fees.

“Chinese firms tend to attempt to first identify a commercial ‘pain point’ …, areas where companies will pay for services, which has been a challenge for AI applications,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.

He pointed to how Chinese startup 3DStyle uses generative AI to design new clothing styles and integrate them with internet-connected, automated manufacturing.

U.S. companies have also been applying AI to specific industries, Triolo said, but Chinese businesses are often able to integrate AI more quickly because they face a very competitive environment and can recruit from a “very qualified” local base of software engineers.

‘AI as filmmaker’

Chinese e-commerce giant Alibaba has also stayed on top of the trend by releasing the latest version of its video generation AI model this week called Wan2.2. The company claimed that with the open-source model, users can control lighting, time of day, color tone, camera angle, frame size, composition and focal length.

Open source allows users to download a model for free, and customize, if not commercialize, products with it. Alibaba claimed that since open sourcing the “Wan” model series in February, the models have been downloaded more than 5.4 million times from the Hugging Face platform and a similar one in China called ModelScope.

“The age of AI in film is over. We’ve entered the age of AI as filmmaker,” said Winston Ma, adjunct professor at NYU School of Law. He pointed out that China’s 1.4 billion population has given local companies “enormous” amounts of video-watching data to work with.

“Just like TikTok took the global markets by storm with short videos in the mobile internet age, Chinese AI companies could well lead the Generative AI revolution in visual digital entertainment,” said Ma, author of “The Digital War: How China’s Tech Power Shapes the Future of AI, Blockchain and Cyberspace.”

Avatars and gaming

Chinese companies are also building AI tools for more than just generating videos.

In the past week, Baidu announced that its newest AI-powered digital human technology — which powered sales of $7.65 million during an interactive livestreaming session of over six hours in June — would be released for broader industry use in October.

In 3D visualization, Tencent released its Hunyuan World model for creating digital panoramic images of scenes, generated from text and visual prompts. The visuals use a “mesh” file format which gamer developers can then use to edit specific parts of the image.

“Beyond supporting [Tencent’s] internal development teams, the platform demonstrates Tencent’s ambition to standardize high-fidelity game asset generation and expand its influence across China’s game development landscape,” said Daniel Ahmad, director of research and insights at Niko Partners.

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Niko found that more than half of game development studios in China already use AI for content generation and reducing development time and costs.

But game development reflects broader challenges in using AI at scale for generating videos and graphics.

“While interest in AI is high,” Ahmad said, “we’ve already seen some backlash to games that have poorly implemented the technology.”

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Finance

Treasury Bond Volatility Forces Bessent to Double Debt Buyback Size as Yields Swing

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Bessent

A turbulent week in the U.S. Treasury market prompted the Treasury Department to sharply increase the size of its long-term debt buyback program, as bond prices fell even while equity markets pushed toward record highs. The divergence has drawn attention from fixed-income strategists who see it as a signal of underlying investor unease about federal borrowing levels.

What Happened This Week

U.S. Treasury Secretary Scott Bessent told CNBC on Thursday, August 20, 2026, that the Treasury had doubled the size of its long-term debt buyback operations, moving from roughly $2 billion to at least $4 billion per operation. Bessent indicated the figure could climb further, saying “we’re going to increase the size of the buyback,” and noted the accelerated pace could exceed the announced $4 billion threshold per issue.

Buybacks allow the Treasury to repurchase outstanding government bonds directly from the market, which can help support prices and dampen yield volatility during periods of stress. The expanded program came as stocks staged a late-week recovery: the S&P 500 and Russell 2000 both advanced on Friday, August 21, even as Treasuries logged mild losses, according to Bloomberg market data.

Why Bond and Equity Markets Are Diverging

Capital.com senior market analyst Daniela Hathorn described the week’s dynamic as markets “ending the week on a softer tone after the relative calm of early August was disrupted by renewed pressure in global bond markets, another rise in oil prices, and growing uncertainty around the Federal Reserve’s next move.” She noted that higher long-term borrowing costs are increasingly challenging elevated equity valuations, even as U.S. equities pull back modestly from record highs.

This divergence — equities near record levels while bonds sell off  is unusual and reflects two different sets of investor concerns. Equity investors have remained focused on corporate earnings strength, particularly from large technology companies ahead of Nvidia’s closely watched August 26 earnings report. Bond investors, by contrast, are more directly exposed to concerns about the scale of federal borrowing, highlighted this week by the national debt crossing the $40 trillion threshold for the first time.

The Fed and Treasury “Working in Opposite Directions”

Wilmington Trust senior bond portfolio manager Wil Stith told Yahoo Finance that current conditions reflect “the Fed and the Treasury basically working in sort of opposite directions,” adding that the imbalance will likely require the Federal Reserve  which he described as having “the larger sandbox”  to adjust the federal funds rate rather than relying on Treasury market interventions alone to manage yields.

Notably, the bond market’s reaction to the Treasury’s buyback expansion was relatively muted; strategists described the move as being largely absorbed without a major rally, suggesting the underlying pressure on yields stems from factors, such as inflation persistence and debt sustainability concerns, that a buyback program alone cannot resolve.

What Comes Next

Markets are now looking to two major events in the days ahead: Nvidia’s earnings report on Wednesday, August 26, and the Federal Reserve’s Jackson Hole Economic Symposium, running August 27-29. This will be the first Jackson Hole gathering under new Fed Chair Kevin Warsh, whose public communication style and policy signals remain less established than his predecessors’, according to market commentary from Regards of Wall Street.

For investors, the key metrics to watch are the size and frequency of future Treasury buyback operations, movements in the 10-year Treasury yield, and any policy signals from Warsh’s keynote address. Continued yield volatility alongside record equity valuations would suggest the market imbalance identified this week has not yet been resolved.

 

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Finance

Cross-Border Settlement Innovation and Real-Time Payment Architecture

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The global banking system is undergoing a comprehensive modernization of cross-border payment infrastructure. Driven by real-time settlement networks, open banking APIs, and interoperable messaging standards, financial institutions and multinational corporations are eliminating multi-day delays and reducing transaction costs associated with legacy international wire transfers.

Transition to Real-Time Gross Settlement Networks
Historically, international business-to-business (B2B) payments relied on complex correspondent banking relationships involving intermediary fees and processing delays. In 2026, the widespread adoption of ISO 20022 messaging protocols alongside interconnected Real-Time Gross Settlement (RTGS) systems allows direct, end-to-end processing of cross-border transfers.

Commercial banks are providing corporate clients with continuous, 24/7 payment clearing capabilities. Real-time transaction confirmation and automated FX rate locking allow international businesses to settle cross-border trade obligations within minutes, significantly reducing counterparty risk.

Central Bank Digital Currency (CBDC) Interoperability
Wholesale Central Bank Digital Currency (CBDC) pilot initiatives are reaching operational maturity across several key financial centers. Collaborative multi-CBDC platforms enable participating central banks and commercial institutions to settle foreign exchange and international trade transactions directly on shared distributed ledgers.

These wholesale digital currency networks eliminate traditional clearinghouse delays and minimize foreign exchange slippage. Enterprise treasury departments benefit from enhanced liquidity management, as cross-border cash balances can be deployed and repatriated instantaneously.

Corporate Treasury Transformation
For enterprise treasurers, instant cross-border settlement transforms cash management strategies:
– Working Capital Optimization: Reduced transaction float allows companies to lower precautionary cash reserves and optimize short-term liquidity investments.
– Automated Reconciliation: Enriched data formats embedded in ISO 20022 payment messages streamline automated general ledger posting and invoice matching.
– Reduced Processing Overhead: Account-to-account (A2A) real-time clearing bypasses costly intermediary correspondent banking fees.

Strategic Financial Priorities
1. Upgrade Treasury Systems: Ensure internal core enterprise software supports real-time ISO 20022 payment messaging standards.
2. Leverage Instant Clearing Rails: Utilize direct payment networks to lower cross-border transaction fees and eliminate settlement delays.
3. Evaluate Multi-Currency Liquidity: Modernize liquidity management frameworks to capitalize on 24/7 real-time settlement capabilities.

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Finance

Private Credit Expansion and Regulatory Oversight in 2026 Capital Markets

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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.

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