Chinese Automaker BYD Shows off a $233,400 Electric Supercar
3 min
From its inception, Chinese automaker BYD has had a global vision that’s been realised in Asia, Europe, and South America, but the company has had a conspicuously low profile in the U.S., where 25%import duties have so far kept the brand mostly out of the market. Indeed, U.S. lawmakers are urging even higher tariffs on Chinese-made EVs.
The U.S. blockade hasn’t stopped BYD (“Build Your Dreams”) from becoming the world’s biggest producer of EVs, passing Tesla. The company produced 3 million vehicles last year, with exports to 70 countries growing by a remarkable 334%. The company’s website has headlines such as “BYD Seal Launched in Nepal” and “BYD Enters Indonesian Passenger Car Market with three EVs.” Early investment in BYD by Warren Buffett seems to have been rewarded, though he sold some of his stock in 2022.
The EV supercar market has entries such as the Rimac Nevera, Lucid Air Sapphire, Maserati GranTurismo Folgore, and others, but few credible models from China. Now that may be changing with BYD’s sleek two-door US$233,400 Yangwang U9 (“Ultimate 9”) coupe, so far intended only for the Chinese market.
Competitive with those other supercars, it can reach 62 miles per hour in 2.36 seconds and attain a top speed of 192 mph. The U9 has 1,287 horsepower and 1,200 pound-feet of torque. The car was shown in a live launch stream from Shanghai on Saturday, and will reportedly reach customers as early as this summer.
BYD photo
The U9 has an 80-kilowatt-hour lithium iron phosphate, or LFP, battery and 280-mile range on the Chinese Light-Duty Vehicle Test Cycle, which Sam Abuelsamid, principal analyst for transportation and mobility at Guidehouse Insights, says is “notoriously optimistic.” The U9 has an 800-volt architecture and can reportedly use DC fast charging up to 500 kilowatts, with the ability to charge from 30% to 80% in 10 minutes.
The U9 has familiar supercar styling by the German designer Wolfgang Egger, complete with a pair of upswinging doors. Like other Chinese cars, it has its fanciful side—including four different “dance modes” that make use of its Discus X full active body control. In the event of a flat tire, it can run on three wheels. Other features include an adjustable rear wing and “the smartest supercar cockpit,” with two LCD screens (and provisions for a possible third). The U9 is around 16 feet long, roughly the size of a Lamborghini Aventador.
Yangwang is a new upmarket brand for BYD. The lineup includes the U8, a US$150,000 four-motor plug-in hybrid SUV with 1,184 horsepower and zero to 62 in 3.6 seconds. The U8 can reportedly stay afloat during emergencies. BYD has already delivered more than 3,000 of them. The U7 is a luxury electric four-door sedan, also with four motors, and a reported 1,300 horsepower and up to 500-mile range. The U7 starts at US$140,000.
BYD covers both ends of the market, and offers EVs that sell for less than US$14,000 in the Chinese market. BYD, which has sold some buses in the U.S., is considering production in Mexico, which would potentially be an easy export to the U.S. That prospect is alarming Western automakers. According to a recent report from the Alliance for American Manufacturing: “The introduction of cheap Chinese autos—which are so inexpensive because they are backed with the power and funding of the Chinese government—to the American market could end up being an extinction-level event for the U.S. auto sector.”
BYD photo
Building Chinese cars in Mexico is “an effort to gain backdoor access to American consumers by circumventing existing policies that are keeping China’s autos out of the U.S. market,” the report said. Abuelsamid said that further tariffs are “a distinct possibility,” but not likely until at least 2025 because of Congressional gridlock.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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