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(Update: nope) SpaceX looks to double its valuation on Starlink, Starship promise

On the promise of Starlink and Starship, SpaceX wants to double its valuation at an almost unprecedented scale. (Richard Angle/NASASpaceflight - bocachicagal)

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SpaceX CEO Elon Musk has responded, stating that it is “incorrect” to say that the company is seeking to double its valuation with a new round of funding.

Broken by Business Insider, SpaceX was said to be working with investors to close another round of funding sometime in early 2021 with the intention of growing its valuation from around $46 billion to $92 billion or more. Bloomberg reiterated BI’s reporting not long after. According to Musk, however, that’s incorrect. The CEO didn’t specify the error, meaning that SpaceX is probably pursuing more funding – a never-ending process – but isn’t trying to double its valuation and share price in a single round.

Business Insider reports that SpaceX is hard at work securing another massive round of funding on the promise of Starlink and Starship just months after raising almost $2 billion.

Aside from raising a truly massive amount of capital, SpaceX’s primary goal, according to BI, is to double its valuation from some $46 billion to $92 billion.

In the history of “unicorn” startups, generally referring to primarily venture capital-funded private technology companies worth more than $1 billion, doubling valuation with a single funding round is rare – particularly in the few private startups worth more than $10 billion. Typically, in large unicorns, nothing short of a highly successful stock market IPO is capable of doubling a company’s valuation.

In SpaceX’s own prolific fundraising history, the company has occasionally pulled off similar feats. In a 2015 funding round led by Google and Fidelity, SpaceX’s valuation exploded tenfold from ~$1 billion to more than $10 billion. Closed in 2017, the company’s next funding round again pulled off a valuation multiplication, leaping from $10.1 billion to $21.3 billion. However, of the seven additional rounds completed since then, ranging from $214 million to $1.9 billion, SpaceX’s valuation has never jumped by more than ~28%.

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In the wild and wacky world of private startup valuation, SpaceX could technically sell a single share for ~$500 – twice the current price of ~$250 – and retroactively raise the price of all outstanding shares. Doubling an already massive valuation on a low-volume equity sale would not exactly inspire confidence, however, and SpaceX has no obvious reason not to shoot for the stars given the company’s massive $1.9 billion Series N windfall just four months ago.

As has been the case for several years, now, SpaceX is most likely pitching investors on the potentially extraordinary promise of its Starlink and Starship programs, both of which could easily grow the company’s annual revenue by one or several magnitudes. In just 13 months, SpaceX has launched some 875 operational Starlink satellites, built and tested a dozen full-scale Starship prototypes, hopped two of those rockets to 150m (~500 ft), and flown one to 12.5 km (~7.8 mi). The company is also on track to launch an unprecedented 26 times in 2020 alone, 14 of which were Starlink missions.

12 of those 14 2020 Starlink launches. (SpaceX/Richard Angle)

As such, while a twofold, $46-billion leap in valuation is extraordinarily outlandish, SpaceX is perhaps the one private company in the world that can actually point to a track record of success and potential sources of growth that might warrant it. Stay tuned for details as they begin to trickle out.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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