SpaceX Stock Drops After First Earnings Call as Musk Fails to Woo Investors With AI Goals
Elon Musk’s SpaceX spent an eye-watering $18.4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss.
The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public.
To ease some of those worries, Musk promised dramatic AI advancements.
“Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”
Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday.
“The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.
Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised.
On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.
The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities.
“We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.”
All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.
“I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.
#SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX
Elon Musk’s SpaceX spent an eye-watering $18.4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss.
The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public.
To ease some of those worries, Musk promised dramatic AI advancements.
“Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”
Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday.
“The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.
Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised.
On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.
The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities.
“We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.”
All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.
“I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

Post Comment