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Tesla’s Optimus robots in Shanghai in 2024 (CCTV+/Getty Images)

The future of Tesla is really hard to build and increasingly expensive

The utopian future Elon Musk describes is awe-inspiring. But as Tesla tries to make it happen, struggles are emerging and costs are climbing fast.

Tesla CEO Elon Musk is hoping that if he builds it, they will come. But he’s going to have to build it first — and that’s proving difficult, and more and more expensive.

What Musk and Tesla are attempting to build is an autonomous future where Tesla, which calls itself the “leader in real-world AI,” is “fundamentally changing the nature of transport,” providing abundant clean energy, and making our lives measurably better.

“We believe with Optimus and self-driving that you can actually create a world where there is no poverty, where everyone has access to the finest medical care,” Musk said on the company’s earnings call Wednesday, after Tesla beat on revenue but missed on earnings.

“Optimus will be an incredible surgeon,” he said, referring to the autonomous robots Tesla is developing that he says hold 80% of the company’s future value.

What gets glossed over quite a bit in the oratory of creating something genuinely awe-inspiring is just how difficult the task is, and how expensive it will be to achieve.

For Tesla, a company that’s known for its efficiency and leanness, costs are rising significantly.

Meanwhile, profits have been generally trending downward.

Of course, as we've noted before, Tesla shareholders often don’t care about near-term profitability. They’ve been in it for big gains over the long haul, and that strategy has generally played out well for them: without a boatload of profit to show for it, Tesla’s stock has vaulted nearly 1,400% since just after the beginning of the COVID-19 pandemic.

On Thursday, shareholders seemed to care at least a bit, however, as the stock fell on the heels of the earnings report.

Tesla is expecting capex, slated for around $9 billion this year, to “increase substantially in 2026” as it ramps up its AI initiatives, including Optimus. And the company’s operating costs have soared, with general and administrative expenses climbing 32% and research and development expenses jumping 57% last quarter from a year earlier.

R&D alone cost Tesla $1.6 billion in the latest quarter, a number bigger than the entire $1.4 billion profit it generated for the quarter. R&D has been bigger than profit now for three quarters straight. And the company expects R&D costs to keep growing thanks to continued performance-based equity awards for employees working on AI initiatives.

In the meantime, Tesla has been getting by on lower margins in its main auto business, which funds everything else, as it cut prices to move vehicles last quarter. Tesla’s automotive gross margin excluding revenue credits — which are gone in the US now anyway — was 15.4% last quarter, down from 17.1% a year earlier and nearly 30% for the third quarter of 2021.

And that’s not to mention the cost of Elon Musk himself, which is potentially going to skyrocket. Shareholders will vote on Musk’s record-breaking, jaw-dropping $1 trillion pay package next month.

Tesla Humanoid Robot on Display at Store in Chengdu
A Tesla humanoid robot, known as Optimus, is displayed inside a Tesla store in Chengdu, China, on October 18, 2025 (Cheng Xin/Getty Images)

Delays and difficultiues

The difficulty of achieving Musk’s vision is perhaps most pronounced in the repeated delays for its marquee products.

Last year at this time, the company had promised that an unsupervised version of its Full Self-Driving tech would be available to consumers in some markets this year, but it hasn’t happened yet. On the earnings call, Musk said Tesla now has “clarity” on achieving unsupervised FSD and expects to have no safety drivers “at least in parts of Austin.” He said he was so confident in the prospect that the company plans to increase vehicle production “as fast as we reasonably can,” potentially hitting a 3 million annualized rate in two years.

Even if Tesla does manage that, there’s no guarantee that people will turn up en masse to buy those cars. During the earnings call, a Tesla executive noted that 12% of existing Tesla customers pay for FSD — not exactly a show of strength in the existing tech. As it stands, despite a record quarter for revenue, analysts are expecting Tesla vehicle sales to decline for the second year in a row to about 1.7 million this year — and it could get worse thereafter, given the end of the government’s $7,500 EV tax credit.

A driverless Tesla Robotaxi
A driverless Tesla robotaxi, with a man serving as a safety monitor in the front passenger seat, rolls along Laguna Drive in southeast Austin in June 27 (Jay Janner/Getty Images)

Musk now says the company’s vaunted Robotaxi program, which is currently operating with a safety monitor in the passenger seat in Austin and a driver using supervised FSD in the Bay Area, will be expanding to 8 to 10 cities this year. That’s down from being available to “half the population of the US by the end of the year,” which he promised on Tesla’s previous quarterly call. It’s also likely that those new markets will have safety drivers — not really an autonomous experience.

Musk has repeatedly minimized the difficulty of expanding the robotaxi business. On last night’s call, he said again, “There are millions of cars out there that, with a software update, become Full Self-Driving cars.” However, scaling up might be the hardest part, according to Phil Koopman, an associate professor of electrical and computer engineering at Carnegie Mellon University and an autonomous vehicle expert, who recently wrote as much.

As Koopman put it, “One way to look at scaling robotaxis is that for every factor of 10 growth in fleet size, one should expect a fresh batch of challenges to graduate from quirks to problems.”

Even Musk’s prized Optimus has seen major hurdles and setbacks. Musk now says Tesla will unveil Optimus version 3 in the first quarter of 2026. Earlier this year, Musk had said Tesla would build 10,000 robots for internal use in 2025. Musk was straightforward about the challenge this time.

“Bringing Optimus to market is an incredibly difficult task,” Musk said on the call. “It’s not like some walk in the park.”

He noted that getting the robots’ hands to function like a human’s is “incredibly difficult” and noted that the company would still have to do “rolling changes for the Optimus design even after start of production.”

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Apple poaches Meta’s chief legal officer

Just a day after Meta announced that it had hired away Apple’s user interface design lead, Apple has announced that it’s poached Jennifer Newstead, Meta’s chief legal officer, to become Apple’s new general counsel. Kate Adams, Apple’s general counsel since 2017, will be retiring late next year.

Apple also announced the retirement of Lisa Jackson, vice president for Environment, Policy, and Social Initiatives, who will leave the company in late January 2026.

The flurry of high-level management changes at Apple happens amid fervent speculation that CEO Tim Cook may be retiring soon.

Apple also announced the retirement of Lisa Jackson, vice president for Environment, Policy, and Social Initiatives, who will leave the company in late January 2026.

The flurry of high-level management changes at Apple happens amid fervent speculation that CEO Tim Cook may be retiring soon.

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EU calls for bids to build “AI gigafactories” in 2026

The European Union wants to shore up its domestic AI infrastructure and reduce its dependence on American tech companies.

To further this goal, the bloc is planning on accepting bids to build EU-based “AI gigafactories,” according to a report from The Wall Street Journal.

EU Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen announced that bids would begin in January or February, per the report.

As the AI arms race heats up, countries are racing to secure their own sovereign AI infrastructure, including building their own AI models that reflect their culture and language and offer control over cloud computing resources.

Europe is lagging behind the US and Asia in AI infrastructure. But it may be hard for the EU to fully break free of American tech — unlike the US and China, there is no European alternative for the powerful GPUs needed to train and run AI models. It’s very likely that any AI gigafactories in the EU will be filled with GPUs from Nvidia.

EU Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen announced that bids would begin in January or February, per the report.

As the AI arms race heats up, countries are racing to secure their own sovereign AI infrastructure, including building their own AI models that reflect their culture and language and offer control over cloud computing resources.

Europe is lagging behind the US and Asia in AI infrastructure. But it may be hard for the EU to fully break free of American tech — unlike the US and China, there is no European alternative for the powerful GPUs needed to train and run AI models. It’s very likely that any AI gigafactories in the EU will be filled with GPUs from Nvidia.

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Google’s AI chip business could be a $900 billion boon for the company

Google may be sitting on a massive new business that it has yet to fully exploit.

Google’s custom tensor processing unit (TPU) AI chips have been getting a lot of attention recently, making the tech world wonder if there are other ways to power its AI dreams rather than just by using Nvidia’s GPUs.

Bloomberg spoke with analysts who estimate that, if it does decide to sell its chips to others, Google could capture 20% of the AI market, making it a $900 billion business. For comparison, Google Cloud pulled in $43.2 billion of revenue last year.

Even if Google just sticks with renting access to its TPUs, it will continue to drive down costs and increase margins as it ekes out performance improvements, such as the 30x improvement in power efficiency that the latest generation of TPUs has delivered for the company.

Bloomberg spoke with analysts who estimate that, if it does decide to sell its chips to others, Google could capture 20% of the AI market, making it a $900 billion business. For comparison, Google Cloud pulled in $43.2 billion of revenue last year.

Even if Google just sticks with renting access to its TPUs, it will continue to drive down costs and increase margins as it ekes out performance improvements, such as the 30x improvement in power efficiency that the latest generation of TPUs has delivered for the company.

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OpenAI’s Sam Altman has explored bringing his feud with Tesla’s Elon Musk to space

Billionaires, they’re just like us: they want to bring their terrestrial beefs to outer space.

OpenAI CEO Sam Altman has explored buying or partnering with a rocket company to compete with Tesla CEO Elon Musk’s SpaceX, The Wall Street Journal reports. The two billionaires have had numerous public feuds over the years that have played out in the courts and on social media. They also both lead AI companies that have insatiable needs for data centers and have publicly discussed building data centers in space.

Altman seems like he thinks this could be more than science fiction. He reportedly reached out to rocket maker Stoke Space to potentially make equity investments in the company to get a controlling stake, though the talks are no longer active, WSJ reports.

Or perhaps he just wanted a Sherwood bobblehead of himself.

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Report: Meta to slash metaverse, VR spending by up to 30%

Four years after changing its name to reflect its focus on the loosely defined “metaverse,” Meta is planning deep cuts to the company’s money-losing virtual reality efforts, according to a report from Bloomberg.

Meta’s Reality Labs division, home to the teams working on metaverse products — which include Quest VR headsets, Horizon Worlds, and its Ray-Ban Meta glasses — has lost about $70 billion since the company started breaking out the unit in 2020.

The company has struggled to get consumers to buy into CEO Mark Zuckerberg’s vision of working and playing in virtual reality worlds, like the company’s Horizon Worlds platform.

Investors seem to love the news of the pivot, as shares shot up as much as 5% in early trading.

Meta’s recent hiring spree of AI superstars from competitors for its Meta Superintelligence Labs shows that the company’s attention is now all in on AI.

Meta’s Reality Labs division, home to the teams working on metaverse products — which include Quest VR headsets, Horizon Worlds, and its Ray-Ban Meta glasses — has lost about $70 billion since the company started breaking out the unit in 2020.

The company has struggled to get consumers to buy into CEO Mark Zuckerberg’s vision of working and playing in virtual reality worlds, like the company’s Horizon Worlds platform.

Investors seem to love the news of the pivot, as shares shot up as much as 5% in early trading.

Meta’s recent hiring spree of AI superstars from competitors for its Meta Superintelligence Labs shows that the company’s attention is now all in on AI.

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