Tesla (NASDAQ: TSLA) unveiled its new Plaid Model S last night and rolled out deliveries to those who have been waiting patiently to take delivery of the “Refreshed” version of the company’s flagship sedan. While there were several takeaways from the event that took place at Tesla’s Fremont Factory, Oppenheimer analyst Colin Rusch indicated that his biggest idea from the delivery event was Tesla’s donning of a new, fully autonomous era, and the company is prepping itself, along with its owners, for a future that requires little to no intervention from the driver.
Rusch, who is one of Tesla’s biggest bulls on Wall Street with a massive $1,080 price target, appeared on CNBC’S Squawk Box earlier today to talk about the event and what the major takeaways are. While many automotive enthusiasts, analysts, and spectators were more focused on the lightning-fast performance and 390-mile range of the Model S Plaid, Rusch took away Tesla’s installation of several new features that are evidently preparing drivers to become passengers. Tesla’s Full Self-Driving suite has made tremendous improvements ever since the company rolled out the FSD Beta program in October 2020. While the Beta program features a small group of members, Tesla eventually plans to roll out a more robust version of FSD to owners everywhere. The question is: What will drivers do when they’re not required to pay attention to road conditions at all times?
This is a question Tesla has thought long and hard about, and the evidence of that lies within the software capabilities of the new Model S Plaid. It was revealed several weeks ago that Tesla would be installing AMD processors and GPSs in the Model S and X, giving the two vehicles “PS5 level entertainment computing power,” according to CEO Elon Musk. Musk hinted toward new gamification features in the past. Still, it really came down to the company’s ability to provide robust and well-rounded entertainment and infotainment systems to drivers and passengers. After all, if you’re not going to be driving the vehicle, you’re going to need something to do.
Effectively, this is what catalyzed Rusch’s idea that Tesla is preparing to bring in self-driving cars. While speaking to Squawk Box during the interview this morning, Rusch detailed Tesla’s event last night, focusing on the idea that self-driving, and not blistering performance, is what the event was really the essence of the event.
Rusch said that Tesla’s domination as the most-savvy tech company in terms of powertrain and product design in the automotive sector is important, and that was accomplished last night with the event. However, Rusch maintains that his price target is really based on the company’s ability to deliver autonomous vehicles, and the event proved to him that Tesla is moving in that direction.
Credit: Tesla
“What we saw last night was that they’re preparing for full autonomy in terms of the user experience within the vehicle,” Rusch said. “And, that’s important to see them migrating towards that full autonomous experience inside the car. Between the backseats, the display, and some of the other features within the display. This is preparing folks to not really have their hands on the wheel,” Rusch said.
“What we saw last night was that they’re preparing for full autonomy in terms of the user experience within the vehicle. That’s important,” says Oppenheimer analyst Colin Rusch on @Tesla‘s Model S Plaid $TSLA pic.twitter.com/A6DNgmIVLu
— Squawk Box (@SquawkCNBC) June 11, 2021
Rusch holds an incredible #6 rating on TipRanks out of 7,547 analysts. His price target on TSLA stands at $1,080, and Rusch has a “Buy” rating on the automaker’s stock.
Disclosure: Joey Klender is a TSLA Shareholder.
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
