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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

Big Tech Enterprise Borrowing Reaches $135 Billion as Hyperscalers Fund AI Infrastructure

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Big Tech Enterprise Borrowing Reaches $135 Billion

Corporate debt markets are undergoing a major structural shift as major technology hyperscalers execute unprecedented debt offerings to finance large-scale artificial intelligence infrastructure. According to institutional market estimates, the annual value of debt issued by top technology firms reached $135 billion in 2026, marking a massive increase from the $35 billion annual average recorded between 2020 and 2024. This wave of corporate borrowing reflects the immense capital required to build next-generation data centers, secure specialized silicon, and build energy infrastructure.

The scale of AI-driven capital expenditures is reshaping corporate finance frameworks. While tech giants historically maintained fortress balance sheets dominated by cash reserves and minimal debt liabilities, the speed of the AI infrastructure deployment race has led corporate treasurers to access debt capital markets. These multi-billion-dollar corporate bond issuances are competing directly with sovereign debt for institutional investment capital.

Credit rating agencies and fixed income analysts are evaluating the long-term balance sheet implications of this corporate borrowing boom. While technology hyperscalers possess substantial revenue streams and strong operating margins, the high interest rate environment means new debt issuances carry higher coupon burdens. Financial analysts are closely tracking return-on-investment (ROI) metrics to ensure capital outlays generate sufficient cash flow to service expanding debt obligations over the coming decade.

Despite elevated borrowing costs, primary market demand for high-grade technology bonds remains robust. Institutional asset managers, pension funds, and insurance firms are absorbing new issuances, attracted by investment-grade credit ratings and attractive yields. However, the concentration of corporate debt issuance within the technology sector highlights growing exposure to enterprise technology spend cycles.

Why This Information Matters
The massive surge in technology sector debt issuance impacts broader credit markets and institutional liquidity. For corporate leaders and investors, understanding how major enterprise tech firms fund infrastructure expansion provides key insights into market interest rate dynamics, corporate credit availability, and the long-term ROI expectations driving modern corporate finance.

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Finance

S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

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S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

Financial markets opened September on a firm footing following a solid performance in August, where the S&P 500 gained 2.6% and the tech-heavy Nasdaq Composite rose 3.9%. Corporate earnings across major index constituents showed impressive momentum, with S&P 500 year-over-year earnings growth topping historic averages. However, despite robust corporate balance sheets, equity market valuations face headwinds as benchmark 10-year Treasury yields remain elevated near 4.75%.

The current financial environment is characterized by a strong divergence between corporate earnings resilience and bond market pressure. Enterprise technology leaders, financial institutions, and consumer sectors reported strong profit margins, benefiting from operational efficiency gains and disciplined cost management. Yet, institutional investors remain cautious about expanding price-to-earnings multiples when risk-free benchmark bond yields offer yields near 4.7%.

Fixed income markets continue to reflect restrictive monetary conditions. The broader aggregate bond market recorded flat total returns year-to-date, while fixed income yields—such as 30-day SEC yields on core bond funds—stayed above 4.6%. This yield profile provides institutional and retail investors with meaningful cash flow returns without taking on equity market downside risk, creating a competitive alternative for institutional capital allocation.

Portfolio managers and investment strategists recommend a disciplined, quality-oriented approach entering the final quarter of 2026. Rather than chasing speculative momentum, capital flows are favoring companies with strong cash flow generation, low debt-to-equity ratios, and robust pricing power capable of withstanding elevated input costs.

Why This Information Matters
The tension between strong corporate earnings and elevated bond yields directly impacts portfolio allocations and retirement wealth. Individual investors and wealth managers must balance equity market participation with fixed-income yield opportunities, ensuring portfolios are diversified against sudden valuation adjustments caused by fluctuating benchmark interest rates.

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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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