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Tesla (TSLA) stock falls on report of alleged Department of Justice criminal probe
Shares of Tesla (NASDAQ:TSLA) fell by more than 5% in midday trading Tuesday following a report that the Silicon Valley electric carmaker is under investigation by the US Justice Department over statements made by company CEO Elon Musk last month pertaining to the company’s possible privatization and the fact that funding had been “secured.”
News of the Justice Department’s investigation was related to Bloomberg News by two individuals familiar with the matter. The criminal investigation will reportedly run alongside a previously reported civil inquiry by the Securities and Exchange Commission (SEC). The criminal investigation is reportedly in its early stages.
Federal prosecutors reportedly opened the fraud investigation due to Elon Musk’s now-infamous “funding secured” tweet last August 9, which resulted in TSLA stock soaring 11% to $387.46, according to the publication’s sources. Inasmuch as the announcement pushed the company’s stock near its all-time highs on the day of Musk’s tweet, TSLA stock began a long trek down as questions emerged about the source of funding the CEO was referring to in his tweet.
Few details are currently known about the ongoing investigation. That being said, Justice Department probes like the civil inquiries being undertaken by the SEC, are known to take months to complete, with investigations at times ending with prosecutors deciding to take no enforcement action.
A few days after announcing that he is thinking of taking Tesla private, Elon Musk published a blog post stating that the “funding secured” tweet came from talks he has had with Saudi Arabia’s sovereign wealth fund, which took a 5% stake in Tesla earlier this year. The weeks following these announcements were incredibly volatile, as SEC investigations were reportedly begun, lawsuits were filed, and TSLA shares took a dive.
Tesla, for its part, began the process for its possible privatization. Musk hired several high-profile advisers including bankers from Goldman Sachs, as well as attorneys from Wachtell, Lipton, Rosen & Katz. He also hired Silver Lake Partners’ Egon Durban, who brokered and helped bankroll the buyout of Dell when it went private. By August 22, Tesla’s advisers had a list of possible investors that would provide funding for the company’s privatization at $420 per share.
Among the investors that were willing to fund Elon Musk’s go-private initiative were German auto giant Volkswagen AG, as well as Silver Lake Partners itself. Together, the investors reportedly agreed to contribute as much as $30 billion for the deal. At this point, though, Elon Musk already had reservations, particularly since it would be incredibly difficult to bring over TSLA’s retail investors into a privatized Tesla.
Ultimately, Elon Musk opted to walk out of a possible $30 billion deal. An announcement about the company staying public was posted on Tesla’s official blog soon after. Since then, Tesla has focused itself on its original Q3 2018 targets — that is, the continued production ramp of the Model 3 and the company’s aim to become profitable. The company appears poised towards a record quarter, particularly after Elon Musk noted in a letter to employees that Tesla is “about to have the most amazing quarter in (its) history, building and delivering more than twice as many cars as (it) did last quarter.”
Following is Tesla’s official response to the reported DOJ investigation.
“Last month, following Elon’s announcement that he was considering taking the company private, Tesla received a voluntary request for documents from the DOJ and has been cooperative in responding to it. We have not received a subpoena, a request for testimony, or any other formal process. We respect the DOJ’s desire to get information about this and believe that the matter should be quickly resolved as they review the information they have received.”
As of writing, Tesla stock is trading down 2.22% at $288.27 per share.
This story is currently developing.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
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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.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
