News
Tesla reportedly dropped by NTSB from fatal Model X investigation [Updated]
Tesla has opted to step back from the ongoing NTSB investigation into the fatal Model X accident last month near Mountain View, CA.
According to Tesla, it has decided to withdraw from its party agreement with the NTSB because it might result in withholding information that affects public safety. In an emailed statement to Bloomberg, the Elon Musk-led electric car maker stated that it believes in transparency.
“Tesla withdrew from the party agreement with the NTSB because it requires that we not release information about Autopilot to the public, a requirement which we believe fundamentally affects public safety negatively. We believe in transparency, so an agreement that prevents public release of information for over a year is unacceptable,” Tesla stated.
Despite not being a formal part of the ongoing NTSB investigation, Tesla stated that it would continue to provide technical assistance to the agency as it continues its probe into the tragic accident.
Citing a person familiar with the matter, Bloomberg stated that the NTSB is actually removing Tesla from the investigation. Quite unlike the “very constructive conversation” reported by an NTSB spokesman last weekend between Tesla CEO Elon Musk and NTSB Chief Robert Sumwalt, the anonymous Bloomberg source stated that the talk involved Sumwalt informing Musk that his company was being taken off the investigation. The source further claimed that the conversation between Musk and the NTSB chief was “tense” due to the Tesla CEO’s reaction to the agency’s decision.
Tesla’s decision to release information related to the NTSB’s ongoing probe resulted in the agency stating that it was “unhappy” with the electric car maker. Responding to the NTSB, Musk stated on Twitter that Tesla will immediately release information that can directly affect public safety.
“Lot of respect for NTSB, but NHTSA regulates cars, not NTSB, which is an advisory body. Tesla releases critical crash data affecting public safety immediately & always will. To do otherwise would be unsafe,” Musk tweeted.
-
Updated: Tesla has issued the following response to a statement made by the NTSB.
“Last week, in a conversation with the NTSB, we were told that if we made additional statements before their 12-24 month investigative process is complete, we would no longer be a party to the investigation agreement. On Tuesday, we chose to withdraw from the agreement and issued a statement to correct misleading claims that had been made about Autopilot — claims which made it seem as though Autopilot creates safety problems when the opposite is true. In the US, there is one automotive fatality every 86 million miles across all vehicles. For Tesla, there is one fatality, including known pedestrian fatalities, every 320 million miles in vehicles equipped with Autopilot hardware. If you are driving a Tesla equipped with Autopilot hardware, you are 3.7 times less likely to be involved in a fatal accident and this continues to improve.
It’s been clear in our conversations with the NTSB that they’re more concerned with press headlines than actually promoting safety. Among other things, they repeatedly released partial bits of incomplete information to the media in violation of their own rules, at the same time that they were trying to prevent us from telling all the facts. We don’t believe this is right and we will be making an official complaint to Congress. We will also be issuing a Freedom Of Information Act request to understand the reasoning behind their focus on the safest cars in America while they ignore the cars that are the least safe. Perhaps there is a sound rationale for this, but we cannot imagine what that could possibly be.
Something the public may not be aware of is that the NTSB is not a regulatory body, it is an advisory body. The regulatory body for the automotive industry in the US is the National Highway Traffic Safety Administration (NHTSA) with whom we have a strong and positive relationship. After doing a comprehensive study, NHTSA found that even the early version of Tesla Autopilot resulted in 40% fewer crashes. Autopilot has improved substantially since then.
When tested by NHTSA, Model S and Model X each received five stars not only overall but in every sub-category. This was the only time an SUV had ever scored that well. Moreover, of all the cars that NHTSA has ever tested, Model S and Model X scored as the two cars with the lowest probability of injury. There is no company that cares more about safety and the evidence speaks for itself.”
Just recently, the wife of the ill-fated Model X driver has gone on local news agency ABC7 News to state that her husband had complained about Autopilot multiple times before the March 23 accident. According to Mike Fong, the Huang family’s lawyer, the collision would not have happened had Autopilot not been activated. Fong noted that he would not file a complaint against Tesla while the NTSB investigation is ongoing, though he did state that the carmaker’s responses so far have been to blame the Model X’s driver.
While Tesla could be facing a lawsuit from the Huang family over the fatal incident, Will Huang, the Model X driver’s brother, previously stated to ABC7 News that his brother could have survived the accident had his car collided with a working crash attenuator. During its initial update about the fatal collision, Tesla stated that the crash attenuator that the Model X smashed into had been left unrepaired, causing extensive damage to the vehicle.
-
“That (the crash attenuator) ultimately should’ve saved my brother’s life. We’ve seen videos of similar crash(es) with cushion, and the driver walked out of it unharmed,” Will said.
Later statements from CalTrans eventually revealed that the highway safety device had been damaged from a collision 11 days before the Model X accident. According to CalTrans, crash attenuators are usually repaired in 7 days or 5 business days, but storms in the area prevented any repair work.
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
-
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
-
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
-
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
-
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
