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SpaceX Starlink, Starship programs crush funding goals, raise $2 billion
On the heels of a successful ~$350 million fundraising round, SpaceX has crushed its own expectations of a second, far more ambitious fundraiser, likely ensuring stable Starship and Starlink development for years to come.
First reported by Bloomberg on July 23rd, SpaceX’s second investment round of 2020 initially pursued $1 billion in funding, boosting the company’s valuation to $44 billion. Less than four weeks later, an August 18th SEC filing revealed that SpaceX had more than doubled its offering after it received overwhelming interest from prospective investors.
According to the regulatory document, SpaceX has now secured an incredibly $1.9 billion of a $2.06 billion of new funding for its Starlink and Starship programs, likely guaranteeing the health of both expensive development programs for 12-18+ months. Alternatively, the company could feasibly speed up either or both programs by a substantial amount with such a massive capital injection, shrinking the time required for Starship to reach orbit and begin operational launches and for Starlink to begin serving customers and generating revenue.
Prior to August 2020, SpaceX had raised a total of ~$3.4 billion over ~12 years of major funding rounds. In 2015, Google and Fidelity invested $1 billion in SpaceX – a round that remained the company’s biggest until now. Once again primarily driven by Fidelity, if SpaceX successfully closes the $2 billion series it kicked off last month, the company’s funding to date will jump nearly 60% in a single round.
Very few companies in history can claim to have closed an oversubscribed $2 billion funding round, making it easy to say that SpaceX is currently one of the hottest private investment opportunities in the world. There are several likely reasons that help explain why.
The track record of companies run by Elon Musk likely plays a huge role in investor confidence. Against all odds and in the face of hordes of detractors and naysayers, Tesla has shaped itself into the world’s premier electric vehicle (EV) manufacturer and managed to do so while still becoming a profitable (or at least sustainable) company. As a result, the value of $TSLA has exploded in 2019 and 2020, turning it into one of the most lucrative investments in years.
SpaceX has proven itself to be just as disruptive – if not more so – in the aerospace industry, designing, building, and fielding industry-leading rockets and spacecraft that are years ahead of “competition” and doing so with cost efficiency that competitors and national space agencies did not believe was possible. As a result, SpaceX now owns a vast majority of the global commercial launch market, is the only entity on Earth operating orbital-class reusable rockets, and is the only company capable of both building and launching its own satellite constellations.
From an investment perspective, the commercial launch market likely makes most eyes glaze over. Starlink, however, has the potential to tap into a large portion of a global communications market worth hundreds of billions to more than a trillion dollars. Building a satellite constellation large and capable enough to do so is an extraordinarily expensive ordeal no matter how efficient SpaceX is, but once it’s even partially complete, it could almost effortlessly magnify the company’s annual revenue by 5-10x.
Once Starlink is able to serve millions of customers, it could easily become self-sustaining. With tens of millions of customers, it could become a veritable cash cow, generating >$6 billion in annual revenue on annual upkeep and operating costs of $1-2 billion at most (conservatively estimating 24 Starlink launches per year for $50 million each).
This doesn’t even account for Starship, which could effectively create whole new markets for space access if SpaceX is able to achieve its ambitious design goals. For Starlink, though, Starship would be equally game-changing by making constellation deployment at least ~7 times more cost-effective than Falcon 9 (~400 vs. ~60 satellites per launch).
Regardless, with at least $1.9 billion soon to be in the bank, it should be clear that any doubt that SpaceX has the resources it needs to sustain its Starlink and Starship development programs for one or several more years is woefully misplaced.
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Elon Musk
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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
Elon Musk
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
