Finance
China’s electric car race is becoming all about semiconductors
Published
2 years agoon
Shaoqing Ren, vice president, autonomous driving development, at Nio speaks about the electric company’s 5nm chip at its tech day in Shanghai on July 27, 2024.
CNBC | Evelyn Cheng
BEIJING — Chinese electric car companies that are already engaged in an intense price war are turning up the heat on another front: Chip-powered tech features such as the driver-assist function.
Nio and Xpeng have announced that their in-house designed auto chips are ready for production. So far, many of the major Chinese electric car makers have relied on Nvidia chips, with the company’s automotive chips business over the past few years bringing in more than $300 million in revenue a quarter.
“It’s hard to point to your product being superior when your competitors use the exact same silicon to power their infotainment and intelligent driving systems,” said Tu Le, founder of consulting firm Sino Auto Insights, explaining why EV makers are turning to in-house chips.
Le said he expected Tesla and Chinese electric car startups to compete on designing their own chips, while traditional automakers will likely still rely on Nvidia and Qualcomm “for the foreseeable future.”
Nvidia reported a 37% year-on-year increase in automotive segment revenue to $346 million in the latest quarter.
“Automotive was a key growth driver for the quarter as every auto maker developing autonomous vehicle technology is using NVIDIA in their Data Centers,” company management said on an earnings call, according to a FactSet transcript.

“I think the main reason why Chinese [automakers] pay attention [to] self-development system-on-chip is the success of Tesla in full-self driving,” said Alvin Liu, a Shanghai-based senior analyst for Canalys.
In 2019, Tesla reportedly shifted from Nvidia to its own chip for advanced driver-assist functions.
By designing their own chips, Chinese automakers can customize features, as well as reduce supply chain risk from geopolitical tensions, Liu said.
Liu does not expect significant impact to Nvidia in the short-term, however, as Chinese automakers will likely test new tech in small batches in the higher-end of the market.
Leveraging latest tech
Nio in late July said it had finished designing an automotive-grade chip, the NX9031, that uses a highly advanced 5 nanometer production technology.
“It is the first time that the five-nanometer process technology has been used in the Chinese automotive industry,” said Florence Zhang, consulting director at China Insights Consultancy, according to a CNBC translation of her Mandarin-language remarks. “It has broken through the bottleneck of domestic intelligent driving chip research and development.”
Nio, which had teased the chip in December, plans to use it in the high-end ET9 sedan, set for delivery in 2025.
The 5 nanometers technology is the most advanced one for autos because the 3 nanometer tech is mostly used for smartphone, personal computer and artificial intelligence-related applications, CLSA analyst Jason Tsang, said following the Nio chip announcement.
Xpeng at its event on Tuesday did not disclose the nanometer technology it was using for its Turing chip. The company‘s driver-assist technology is widely considered one of the best currently available in China.
While Xpeng revealed its chip on Tuesday, Brian Gu, Xpeng president, emphasized in a CNBC interview the day before that his company will primarily partner with Nvidia for chips.
The two companies have a close relationship, and Xpeng’s former head of autonomous driving joined Nvidia last year.
Giants in China’s electric car industry are also recognizing the importance of chips for autos.
If batteries were the foundation for the first phase of electric car development, semiconductors are the basis for the industry’s second phase, as it focuses on smart connected vehicles, BYD‘s founder, Wang Chuanfu, said in April at a press conference held by Chinese driver-assist chip company Horizon Robotics.
Wang said more than 1 million BYD vehicles use Horizon Robotics chips.
BYD on Tuesday announced its Fang Cheng Bao off-road vehicle brand would use Huawei’s driver-assist system.
U.S. restrictions on Nvidia chip sales to China haven’t directly affected automakers since the cars haven’t required the most advanced semiconductor technology so far.
But with increasing focus on driver-assist tech, which relies more on artificial intelligence — a segment at the center of U.S.-China tech competition — Chinese automakers are turning to in-house tech.
Looking ahead to the next decade, Xpeng Founder He Xiaopeng said Tuesday the company plans to become a global artificial intelligence car company.
When asked about the availability of computing power for training driver-assist tech, Xpeng’s Gu told reporters Monday that prior to the U.S. restrictions the company had been working with Alibaba Cloud. He claimed that access now probably gives Xpeng the largest cloud computing capacity among all car manufacturers in China.
Creating new tech and standards
Government incentives, from subsidies to support for building out a battery charging network, have helped electric cars take off in China, the world’s largest auto market.
In July, penetration of new energy vehicles, which includes battery-only and hybrid-powered cars, exceeded 50% of new passenger cars sold in China for the first time, according to industry data.
That scale means that companies involved in the country’s electric car development are also contributing to new standards on tech for cars, such as removing the need for a physical key to unlock the door. Instead, drivers can use a smartphone app.
How that app or device securely connects drivers to their cars is part of the forthcoming set of standards that the California-based Car Connectivity Consortium is working on, according to president Alysia Johnson.
A quarter of the organization’s members are based in China, including Nio, BYD, Zeekr and Huawei. Apple, Google and Samsung are also members, Johnson revealed.
She said the organization is looking to enable a driver of a Nio car that uses a Huawei phone to securely send the car “key” to a partner who uses an Apple phone and drives a Zeekr car, for example.
“Digital key tech is becoming a lot more accessible than people would think,” she said.
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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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