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Former Ford CEO hammers Tesla’s Autopilot probe: ‘It’s half the vehicles Tesla has ever built’
Former Ford CEO Mark Fields hammered Tesla’s Autopilot probe from the NHTSA earlier today on an episode of CNBC’s Squawk Box, stating that over half of the cars the automaker has ever built are involved in the investigation.
Earlier this week, it was announced the NHTSA was launching a probe into the Autopilot system Tesla has equipped on its vehicles. The investigation involves all four of Tesla’s models from year 2014 to 2021, as it aligns with the specifications that the NHTSA’s Office of Defects Investigation listed in its preliminary report. In total, some 765,000 vehicles are going to be a part of the investigation, although only 11 crashes are listed on the document, which the agency shared with Teslarati.
“The Office of Defects Investigation (ODI) has identified eleven crashes in which Tesla models of various configurations have encountered first responder scenes and subsequently struck one or more vehicles involved with those scenes,” it says.
Fmr. Ford CEO Fields: “It’s literally over half of the vehicles Tesla has ever built.”
Mark Fields, who was CEO of Ford Motor Company from 2014 to 2017, appeared on CNBC this morning to talk about the probe. “This is a significant investigation,” he said. However, Fields misidentifies which Tesla semi-autonomous driving suite is actually under investigation, as he claims it is the Full Self-Driving package. FSD is significantly different than Autopilot based on features and functionality alone, and the NHTSA never mentions the Full Self-Driving suite at any point in its document.
Fields points toward the population density of the investigation as a telltale sign that this could be bad news for Tesla, as over half of its produced vehicles could be subjected to a massive recall that could cost the automaker billions of dollars. Tesla surpassed the 1 million production mark in 2020 and is nearing the 2 million vehicle mark this year.
“If you look at the model years, this is a very large time period they’re investigating: 2014-2021. If you look at the number of potentially affected vehicles, it’s …. literally over half of the vehicles $TSLA has ever built,” auto exec Mark Fields on the NHTSA investigation. pic.twitter.com/kwcUT5Jd47
— Squawk Box (@SquawkCNBC) August 17, 2021
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The investigation does focus on a larger than half portion of Tesla’s production population in its short history. However, it is worth noting that the company did not mass produce vehicles until 2017 with the introduction of the Model 3. Additionally, Autopilot is available on all Tesla vehicles and was included as a standard feature in March 2019. Full Self-Driving is not a part of this investigation, and is a separate $10,000 charge on top of the vehicle’s purchase price but is completely optional.
Fields said that the investigation could take between a year and a year and a half based on his knowledge of the NHTSA investigation process. If the NHTSA concludes the Autopilot functionality is not up to its standards, it can issue a recall, Fields added.
The 11 Accidents: a Breakdown
According to the NHTSA documents, the 11 incidents involving a Tesla occurred when the vehicles collided with first responders. However, several investigations have already shown that drivers operating the vehicles in some of the incidents were under the influence of drugs or alcohol (2), had suspended licenses (1), were not following instructions that Tesla outlines for Autopilot use, or was caused by driver inattention (4).
In February 2021, a Tesla driver injured five deputy constables when the vehicle collided with a police cruiser, causing a chain collision. The driver was arrested on suspicion of DWI.
In March 2021, a driver in Lansing, Michigan, with a suspended license, crashed into a police cruiser. The vehicle was operating on Autopilot, but the driver was illegally operating the vehicle.
These are just two examples of what the accidents were caused by, and drivers could be blamed for several instances that the NHTSA lists. Autopilot has been one of the safest ways to operate a motor vehicle, according to statistics from Tesla that showed there was one accident every 4.19 million miles in which drivers had Autopilot engaged. The national average was one crash every 484,000 miles.
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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.”
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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.
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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.
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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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
