Finance
After TikTok, Chinese businesses like Kling ramp up AI for video
Published
9 months agoon
Kuaishou’s Kling AI platform generates video from text and still images.
Nurphoto | Nurphoto | Getty Images
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.”

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
Why software stocks, 2026’s market dogs, have joined the rally
Published
2 weeks agoon
April 19, 2026

Cybersecurity and enterprise software stocks have been market dogs in 2026, with fears that AI will wipe out a wide range of companies in the enterprise space dominating the narrative. But they snapped a brutal losing streak this past week, joining in the broader market rally that saw all losses from the U.S.-Iran war regained by the Dow Jones Industrial Average and S&P 500.
Cybersecurity has been “a victim of some of the AI-related headlines,” Christian Magoon, Amplify ETFs CEO, said on this week’s “ETF Edge.”
It wasn’t just niche cybersecurity names. Take Microsoft, for example, which was recently down close to 20% for the year. Its shares surged last week by 13%.
A big driver of the pummeling in software stocks was a rotation within tech by investors to AI infrastructure and semiconductors and some other names in large-cap tech, Magoon said, and since cybersecurity stocks and ETFs are heavily weighted towards software companies, they were left behind even as those businesses continue to grow on a fundamental basis.
But Wall Street now has become more bullish with the stocks at lower levels. Brent Thill, Jefferies tech analyst, said last week that the worst may be over for software stocks. “I think that this concept that software is dead, and then Anthropic and OpenAI are going to kill the entire industry, is just over-exaggerated,” he said on CNBC’s “Money Movers” on Wednesday.
“Big Short” investor Michael Burry wrote in a Substack post on Wednesday that he is becoming bullish about software stocks after the recent selloff. “Software stocks remain interesting because of accelerated extreme declines last week arising from a reflexive positive feedback loop between falling software stocks and changes in the market for their bank debt,” he wrote.
The Global X Cybersecurity ETF (BUG), is down about 12% since the beginning of the year, with top holdings including Palo Alto Networks, Fortinet, Akamai Technologies and CrowdStrike. But BUG was up 12% last week. The First Trust NASDAQ Cybersecurity ETF (CIBR) is down 6% for the year, but up 9% in the past week.
Piper Sandler analyst Rob Owens reiterated an “overweight” rating on Palo Alto Networks which helped the stock pop 7% — it is now down roughly 6% on the year. Its peers saw similar moves, including CrowdStrike.
Performance of Global X cybersecurity ETF versus S&P 500 over past one-year period.
Magoon said expectations may have become too high in cybersecurity, and with a crowding effect among investors, solid results were not enough to to push stocks higher. But the down-and-then-back-up 2026 for the sector is also a reminder that when stocks fall sharply in a short period of time, opportunity may knock.
“Once you’re down over 10% in some of these subsectors, you start to see the contrarians start to say, ‘well, maybe I’ll take a look at this,'” Magoon said.
He said AI does add both opportunity and uncertainty to the cybersecurity equation, increasing demand but also introducing new competition. But he added, “I think the dip is good to buy in an AI-driven world,” specifically because the risks to companies may lead to more M&A in cyber names that benefits the stocks.
For now, investors may look for opportunity on the margins rather than rush back into beaten-up tech names. “I think investors are still going to remain underweight software,” Thill said.
But Magoon advises investors to at least take the reminder to keep an eye on niches in the market during pronounced downturns. “The best-performing are often the least bought and do the best over the next 12 months versus late-in-the-game piling on,” he said.
While that may have been a mindset that worked against the last investors into cybersecurity and enterprise software in mid-2025 when the negative sentiment started building, at least for now, it’s started working for the stocks in the sector again.
Meanwhile, this year’s biggest winner is also a good example of what can be an extended trade in either a bullish or bearish direction. Last year, institutional ownership of energy was at multi-year lows, Magoon said, referencing Bank of America data. “Reverse sentiment can be a great indicator,” he said.
But he cautioned that any selective buying of stocks that have dipped does have to contend with the risk that there is a potentially bigger drawdown in the market yet to come in 2026. That is because midterm election years historically have been marked by large drawdowns. “If you think it is bad right now, it could get a lot worse,” Magoon said. But he added that there’s a silver-lining in that data, too, for the patient investor. The market has posted very strong 12-month returns after midterm election drawdowns end. So, for investors with a longer-term time horizon and no need for short-term liquidity, Magoon said, “stick in there.”
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Finance
Violent downturns could test new ETF strategies, warns MFS Investment
Published
2 weeks agoon
April 17, 2026

New innovation in the exchange-traded fund industry could come at a cost to investors during extreme conditions.
According to MFS Investment Management’s Jamie Harrison, ETFs involved in increasingly complex derivatives and less transparent markets may be in uncharted territory when it comes to violent downturns.
“Those would be something that you’d want to keep an eye on as volatility ramps up,” the firm’s head of ETF capital markets told CNBC’s “ETF Edge” this week. “As innovation continues to increase at a rapid pace within the ETF wrapper, [it’s] definitely something that we advise our clients to be really front-footed about… Lack of transparency could absolutely be an issue if we’re going to start seeing some deep sell-offs.”
His firm has been around since 1924 and is known for inventing the open-end mutual fund. Last year, ETF.com named MFS Investment Management as the best new ETF issuer.
“It’s important to do due diligence on the portfolio,” he said. “Having a firm that has deep partnerships, deep bench of subject matter experts that plays with the A-team in terms of the Street and liquidity providers available [are] super important.”
Liquidity as the real issue?
Harrison suggested the real issue is liquidity, particularly during a steep sell-off.
“We’ve all seen the news and the headlines around potential private credit ETFs. That picture becomes much more murky,” he added. “It’s up to advisors, to investors [and] to clients to really dig in and look under the hood and engage with their issuers.”
He noted investors will have to ask some tough questions.
“What does this look like in a 20% drawdown? How does this liquidity facility work? Am I going to be able to get in? Am I going to be able to get out? And if I’m able to get out, am I able to get out at a price that’s tight to NAV [net asset value], and what’s the infrastructure at your shop in terms of managing that consideration for me,” said Harrison.
Amplify ETFs’ Christian Magoon is also concerned about these newer ETF strategies could weather a monster drawdown. He listed private credit as a red flag.
“If your ETF owns private credit, I think it’s worth taking a look at, kind of what the standards are around liquidity and how that ETF is trading, because that should be a bit of a mismatch between the trading pace of ETFs and the underlying asset,” the firm’s CEO said in the same interview.
Magoon also highlighted potential issues surrounding equity-linked notes. The notes provide fixed income security while offering potentially higher returns linked to stocks or equity indexes.
“Those could potentially be in stress due to redemptions and the underlying credit risk. That’s another kind of unique derivative,” Magoon said. “I would very closely look at any ETF that has equity-linked notes should we get into a major drawdown or there be a contagion in private credit or something related to the banking system.”
Finance
Anthropic Mythos reveals ‘more vulnerabilities’ for cyberattacks
Published
3 weeks agoon
April 15, 2026
Jamie Dimon, chief executive officer of JPMorgan Chase & Co., right, departs the US Capitol in Washington, DC, US, on Wednesday, Feb. 25, 2026.
Graeme Sloan | Bloomberg | Getty Images
JPMorgan Chase CEO Jamie Dimon said Tuesday that while artificial intelligence tools could eventually help companies defend themselves from cyberattacks, they are first making them more vulnerable.
Dimon said that JPMorgan was testing Anthropic’s latest model — the Mythos preview announced by the AI firm last week — as part of its broader effort to reap the benefits of AI while protecting against bad actors wielding the same technology.
“AI’s made it worse, it’s made it harder,” Dimon told analysts on the bank’s earnings call Tuesday morning. “It does create additional vulnerabilities, and maybe down the road, better ways to strengthen yourself too.”
When asked by a reporter about Mythos, Dimon seemed to refer to Anthropic’s warning that the model had already found thousands of vulnerabilities in corporate software.
“I think you read exactly what is it,” Dimon said. “It shows a lot more vulnerabilities need to be fixed.”
The remarks reveal how artificial intelligence, a technology welcomed by corporations as a productivity boon, has also morphed into a serious threat by giving bad actors new ways to hack into technology systems. Last week, Treasury Secretary Scott Bessent summoned bank CEOs to a meeting to discuss the risks posed by Mythos.
JPMorgan, the world’s largest bank by market cap, has for years invested heavily to stay ahead of threats, with dedicated teams and constant coordination with government agencies, Dimon said.
“We spend a lot of money. We’ve got top experts. We’re in constant contact with the government,” he said. “It’s a full-time job, and we’re doing it all the time.”
‘Attack mode’
Still, the CEO warned that risks extend beyond any single institution, given the interconnected nature of the financial system.
“That doesn’t mean everything that banks rely on is that well protected,” Dimon said. “Banks… are attached to exchanges and all these other things that create other layers of risk.”
JPMorgan Chief Financial Officer Jeremy Barnum said the industry has long been aware that AI cuts both ways in cybersecurity.
“These tools can make it easier to find vulnerabilities, but then also potentially be deployed by bad actors in attack mode,” Barnum said on the earnings call. Recent advances from Anthropic and others have simply intensified an existing trend, he said.
Dimon also said that while advanced AI tools are important, old-school cybersecurity practices remain essential.
“A lot of it is hygiene… how do you protect your data? How do you protect your networks, your routers, your hardware, changing your passcode?” he said. “Doing all those things right dramatically reduces the risk.”
Goldman Sachs CEO David Solomon said Monday during an earnings call that his bank was testing Mythos, though he declined to comment further.
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