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Tesla’s Model Y compact crossover vehicles at a showroom in Shanghai, China, on January 18, 2021.
VCG | Visual China Group | Getty Images

Amid ongoing port constraints and rising shipping costs, Tesla CEO Elon Musk urged employees Friday, in a company-wide email obtained by CNBC, to look for ways to reduce the cost of delivering electric vehicles to customers, rather than rushing orders out last-minute to hit its end of quarter sales goals.

This year, Tesla has struggled to deliver new cars to customers in the U.S. in line with originally promised date ranges. As CNBC previously reported, some Tesla customers here experienced delivery delays of months, leaving them paying out of pocket for rentals and ride-hailing apps, and needing to re-apply for loans due to slipped deadlines.

Tesla is not alone in leaving customers waiting longer than they had hoped for their new, fully electric cars. Last week, for example, newly public competitor Rivian Automotive notified people who had reserved their R1S, a sport utility vehicle, of delivery delays.

Still, sales have grown this year for Tesla seemingly unbowed by unpredictable delivery dates.

Vehicle deliveries, which are the closest approximation to sales reported by Elon Musk’s electric vehicle and renewable energy business, amounted to about 500,000 total in 2020. During the first three quarters of 2021, Tesla had already reported deliveries of 627,350 vehicles.

Since the start of 2021, the company has not provided a clear target for 2021 vehicle deliveries. But Tesla has reiterated its loose guidance for “50% average annual growth in vehicle deliveries” over a multiyear horizon, including on its third-quarter earnings call.

JL Warren Capital’s CEO and Head of Research, Junheng Li, wrote in a note to investors last week that she expects Tesla sales to continue to rise, at least in China this quarter. “Soaring gas price benefits all new energy vehicle brands,” in the country she noted.

Some 1.3 million electric vehicles were sold in China in 2020, according to Canalys research. The firm predicted that the number would grow to 1.9 million EV sales in China by the end of this year.

China remains the world’s largest market for new cars, with strong government support for going electric.

Here’s the full e-mail that Elon Musk sent out on Friday to all Tesla employees (transcribed by CNBC).

From: Elon Musk

To: Everybody

Subj. Q4 deliveries vs. cost efficiency

Date: Nov. 26, 2021 [time stamp redacted]

Per my email several weeks ago, our focus this quarter should be on minimizing cost of deliveries rather than spending heavily on expedite fees, overtime and temporary contractors just so that cars arrive in Q4.

What has happened historically is that we sprint like crazy at end of quarter to maximize deliveries, but then deliveries drop massively in the first few weeks of the next quarter. In effect, looked at over a six month period, we won’t have delivered any extra cars but we will have spent a lot of money and burned ourselves out to accelerate deliveries in the last two weeks of each quarter. 

We will still have quite a big wave of deliveries in the last few weeks of December, as we don’t yet have high volume production either in Europe or Texas, which means a lot of cars on boats from China to Europe and on trucks [and/or] rail from California to the East Coast arriving late in the quarter, but this is nonetheless the right time to start reducing the size of the wave in favor of a steadier and more efficient pace of deliveries.

The right principle is take the most efficient action, as though we were not publicly-traded and the notion of “end of quarter” didn’t exist. 

Thanks,
Elon

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Software startup deploys Singapore’s first quantum computer for commercial use

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Software startup deploys Singapore’s first quantum computer for commercial use

Inside Horizon Quantum’s office in Singapore on Dec. 3, 2025. The software firm claimed it is the first private company to deploy a commercial quantum computer in the city-state.

Sha Ying | CNBC International

Singapore-based software firm Horizon Quantum on Wednesday said it has become the first private company to run a quantum computer for commercial use in the city-state, marking a milestone ahead of its plans to list in the U.S.

The start-up, founded in 2018 by quantum researcher Joe Fitzsimons, said the machine is now fully operational. It integrates components from quantum computing suppliers, including Maybell Quantum, Quantum Machines and Rigetti Computing.

According to Horizon Quantum, the new computer also makes it the first pure-play quantum software firm to own its own quantum computer — an integration it hopes will help advance the promising technology.

“Our focus is on helping developers to start harnessing quantum computers to do real-world work,” Fitzsimons, the CEO, told CNBC. “How do we take full advantage of these systems? How do we program them?” 

Horizon Quantum builds the software tools and infrastructure needed to power applications for quantum computing systems. 

“Although we’re very much focused on the software side, it’s really important to understand how the stack works down to the physical level … that’s the reason we have a test bed now,” Fitzsimons said. 

Quantum race

Horizon Quantum hopes to use its new hardware to accelerate the development of real-world quantum applications across industries, from pharmaceuticals to finance.

Quantum systems aim to tackle problems too complex for traditional machines by leveraging principles of quantum mechanics.

For example, designing new drugs, which requires simulating molecular interactions, or running millions of scenarios to assess portfolio risk, can be slow and computationally costly for conventional machines. Quantum computing is expected to provide faster, more accurate models to tackle these problems.

A top executive at Google working on quantum computers told CNBC in March that he believes the technology is only five years away from running practical applications.

Still, today’s quantum systems remain in the nascent stages of development and pose many engineering and programming challenges.

Investment in the space has been rising, however, as major tech companies report technological breakthroughs. Alphabet, Microsoft, Amazon and IBM, along with the U.S. government, are already pouring millions into quantum computing.

Investor attention also received a bump in June after Nvidia chief executive Jensen Huang offered upbeat remarks, saying quantum computing is nearing an “inflection point” and that practical uses may arrive sooner than he had expected.

Nvidia CEO: Quantum computing is reaching an inflection point

Nasdaq listing

Horizon Quantum’s announcement comes ahead of a merger with dMY Squared Technology Group Inc., a special purpose acquisition company. The deal, agreed upon in September, aims to take Horizon public on the Nasdaq under the ticker “HQ.”

The software firm said in September that the transaction valued the company at around $503 million and was expected to close in the first quarter of 2026. 

The launch of its quantum computer also helps cement Singapore’s ambition to be a regional quantum computing hub. The city-state has invested heavily in the technology for years, setting up its first quantum research center in 2007.

Before Horizon Quantum’s system came online, Singapore reportedly had one quantum computer, used primarily for research purposes. Meanwhile, U.S.-based firm Quantinuum plans to deploy another commercial system in 2026.

Singapore’s National Quantum Strategy, unveiled in May 2024, committed 300 million Singapore dollars over five years to expand the sector, with a significant portion directed toward building local quantum computer processors.  

In May 2024, the National Quantum Strategy (NQS), Singapore’s national quantum initiative, pledged around S$300 million over five years to strengthen development in the sector, with a significant portion directed toward building local quantum computer processors.

Why Amazon, Google, Microsoft, IBM and numerous startups are racing to build quantum computers

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A little-known startup just used AI to make a moon dust battery for Blue Origin

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A little-known startup just used AI to make a moon dust battery for Blue Origin

Istari Digital CEO Will Roper talks about the AI technology that built the Blue Origin moon vacuum

Artificial intelligence has created a device that turns moon dust into energy.

The moon vacuum, which was unveiled on Wednesday by Blue Origin at Amazon‘s re:Invent 2025 conference in Las Vegas, was built using critical technology from startup Istari Digital.

“So what it does is sucks up moon dust and it extracts the heat from it so it can be used as an energy source, like turning moon dust into a battery,” Istari CEO Will Roper told CNBC’s Morgan Brennan.

Spacecraft carrying out missions on the lunar surface are typically constrained by lunar night, the two-week period every 28 days during which the moon is cast in darkness and temperatures experience extreme drops, crippling hardware and rendering it useless unless a strong, long-lasting power source is present.

“Kind of like vacuuming at home, but creating your own electricity while you do it,” he added.

The battery was completely designed by AI, said Roper, who was assistant secretary of the Air Force under President Donald Trump‘s first term and is known for transforming the acquisition process at both the Air Force and, at the time, the newly created Space Force.

Read more CNBC tech news

A major part of the breakthrough in Istari’s technology is the way in which it handles and limits AI hallucinations.

Roper said the platform takes all the requirements a part needs and creates guardrails or a “fence around the playground” that the AI can’t leave while coming up with designs.

“Within that playground, AI can generate to its heart’s content,” he said.

“In the case of Blue Origin’s moon battery, [it] doesn’t tell you the design was a good one, but it tells us that all of the requirements were met, the standards were met, things like that that you got to check before you go operational,” he added.

Istari is backed by former Google CEO Eric Schmidt and already works with the U.S. government, including as a prime contractor with Lockheed Martin on the experimental x-56A unmanned aircraft.

Watch the full interview above and go deeper into the business of the stars with the Manifest Space podcast.

X-Energy’s Kam Ghaffarian on Nuclear Power, AI, and the Space Tech Race

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

Jensen Huang: State-by-state AI regulation would drag industry to a halt

Nvidia CEO Jensen Huang said he met with President Donald Trump on Wednesday and that the two men discussed chip export restrictions, as lawmakers consider a proposal to limit exports of advanced artificial intelligence chips to nations like China.

“I’ve said it repeatedly that we support export controls, and that we should ensure that American companies have the best and the most and first,” Huang told reporters on Capitol Hill.

Lawmakers were considering including the Guaranteeing Access and Innovation for National Artificial Intelligence Act in a major defense package, known as the National Defense Authorization Act. The GAIN AI Act would require chipmakers like Nvidia and Advanced Micro Devices to give U.S. companies first pick on their AI chips before selling them in countries like China.

The proposal isn’t expected to be part of the NDAA, Bloomberg reported, citing a person familiar with the matter.

Huang said it was “wise” that the proposal is being left out of the annual defense policy bill.

“The GAIN AI Act is even more detrimental to the United States than the AI Diffusion Act,” Huang said.

Nvidia’s CEO also criticized the idea of establishing a patchwork of state laws regulating AI. The notion of state-by-state regulation has generated pushback from tech companies and spurred the creation of a super PAC called “Leading the Future,” which is backed by the AI industry.

“State-by-state AI regulation would drag this industry into a halt and it would create a national security concern, as we need to make sure that the United States advances AI technology as quickly as possible,” Huang said. “A federal AI regulation is the wisest.”

Trump last month urged legislators to include a provision in the NDAA that would preempt state AI laws in favor of “one federal standard.”

But House Majority Leader Steve Scalise (R-LA) told CNBC’s Emily Wilkins on Tuesday the provision won’t make it into the bill, citing a lack of sufficient support. He and other lawmakers will continue to look for ways to establish a national standard on AI, Scalise added.

WATCH: Nvidia currying favor to be able to sell chips in China

Nvidia obviously currying favor to be able to sell chips in China, says Niles Investment's Dan Niles

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