Elon Musk Plays a Familiar Song: Robot Cars Are Coming
Tesla’s Robotaxi event excites faithful betting on the company’s future in robotics, while underwhelming those watching from afar
4 min
Elon Musk , dressed in a leather jacket in front of adoring fans, looked like an ageing rock star on stage playing one of his greatest hits.
Robot cars are coming.
Those fans at Thursday’s event swooned as they always have as he pushed out timelines for delivering robot cars and showed what those vehicles could look like. But outside the Hollywood-area venue, it wasn’t exactly clear that everyone believed his vision for the future is as near as he says.
Tesla stock fell almost 9% Friday amid investors frustrated with the continued lack of details for how the company is going to make the very complicated transition from maker of cars to maker of robots.
In essence, Thursday night’s much-hyped product reveal became something of a Rorschach test: Supporters, who point to everything Musk has accomplished with electric cars and other industries, heard a glorious future with driverless cars and humanoid robots. Critics—mindful of previous missed goals and maybe peeved by his contentious politics —saw more smoke and mirrors.
“Let’s not get nuanced here,” the chief executive told the crowd as they peppered Musk with questions, a reminder that even among the faithful, time is ticking for him to play some new notes. And to deliver a big hit.
What he did show was cool. A two-seat car with doors that swung upward to open, inspired, in part, by the sci-fi movie “Demolition Man.”
Though as Musk talked about the vehicle, it wasn’t clear he had settled on a formal name. On stage, he called it the “Cybercab,” while the company released details on its website calling it the “Robotaxi.”
Whatever the name, the straight lines of the small car resembled what might be the offspring of the Cybertruck , the pickup the company brought out last year after some delays, and the new Roadster that was first revealed in 2017 and has yet to come to market. Those delays are examples of “ Elon Standard Time ,” or his practice of setting a target only to miss it.
Robot cars are coming.
The Cybercab/Robotaxi reveal also included what Musk says will be Tesla’s autonomous van, an art deco-inspired vehicle that resembled a giant toaster with an interior meant to feel like a spaceship and enough room for 20 passengers.
Like the small car, the van lacked a steering wheel—the sort of doodads currently required under regulations, though exceptions can be granted. The car could begin production “probably” in 2026, Musk said. He didn’t even suggest when the van might come.
The nearest timeline was deploying fully self-driving cars, through the company’s current offerings, next year in Texas and California.
Musk has been predicting driverless cars being just around the corner for several years, including in 2016 when he said Tesla would demonstrate a car driving itself from Los Angeles to New York City in 2017. That didn’t happen.
In 2019, he said he expected his robot taxis would arrive in 2020 . That didn’t happen.
But Tesla has pushed the envelope with its driver-assist system that is essentially a glorified cruise control—adjusting speed, keeping within a lane and other manoeuvres—but can’t technically drive the car itself. Tesla says the person behind the wheel is responsible for everything, though some drivers grow overconfident in its true abilities and act like the car is autonomous.
Musk likes to talk about how Tesla vehicles are collecting valuable real-world data that is used to train its AI systems.
After building Tesla into the world’s leading electric-car company, Musk in recent years has tried to position its future on robotics, saying it is focused on solving self-driving technology. “That’s really the difference between Tesla being worth a lot of money and being worth basically zero,” Musk said in 2022.
Despite that rhetoric, Tesla is behind in deploying cars on roadways without drivers. Alphabet ’s Waymo has deployed fully autonomous vehicles in places such as San Francisco, where paying customers can take its vehicles around the city without anyone sitting behind the wheel.
On Thursday night, Tesla demonstrated 50 vehicles, including the new two-seater, driving autonomously on private property of the Warner Bros. studios where Musk held his party for investors and supporters.
Detractors were quick to pounce.
“After over 10 years of Full Self-Driving development, Tesla is limited to a 20-30 acre geofenced 5mph 1950s Disneyland ride on a preprogrammed, premapped and heavily rehearsed route with no traffic and no pedestrians,” Dan O’Dowd , a critic of Tesla and founder of a rival software company, said in a statement. “Tesla robotaxi is nothing more than the latest work of fiction to come out of the Warner Bros. Studio.”
But Thursday night wasn’t about impressing the O’Dowds of the world. And maybe not even those watching on the livestreams through Musk’s social-media platform X—which counted more than 9 million views by Friday evening.
The real target were the hundreds of attendees at the event who spent the evening riding around in the cars and posting fawning videos of their experiences on social media, in turn, helping the event go even more viral and generating even more attention for the idea that Tesla is paving the way for a robot future.
Robot cars are coming.
Not only did party attendees enjoy rides, but they were entertained by the latest versions of Tesla’s humanoid robots Optimus, which Musk has said could one day add $25 trillion to the company’s market value.
Former Tesla board member Steve Jurvetson posted a video of himself playing rock, paper, scissors with one of the robots. “Optimus just beat me in rock paper scissors!” he tweeted .
Others shared videos of robots pouring drinks and dancing.
“The markets won’t get what happened last night at @tesla ,” Robert Scoble, a blogger and former Microsoft tech evangelist, posted on X. “I couldn’t be more impressed. @elonmusk laid out a bunch for next decade. I have been to a lot of product launches and never have been to one like this.”
Some even compared the evening to when the late Steve Jobs unveiled Apple ’s first iPhone, marking the beginning of a new technology era. It was an idea that Musk was quick to endorse.
“Yes, this marks a fork in the road,” he tweeted afterward.
Robot cars are coming.
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From making unpopular decisions to learning when to listen, leaders from five businesses reveal what nobody prepared them for — and how running a company has challenged their expectations.
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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