Tesla (NASDAQ:TSLA) took a steep dive on the heels of the company’s Q4 and FY 2023 earnings call, dropping over 9% as of writing. With the company stating that volume growth would be tempered this year due to its focus on the next-generation platform and executives being quite vague about its guidance for 2024, analysts, including some TSLA bulls, are not happy.
Tesla actually had a record 2023, with vehicle sales growing nearly 40% year-over-year in 2023 to over 1.8 million units worldwide. Wall Street currently expects Tesla to post about 2.1 to 2.2 million vehicle sales for 2024, which would translate to a growth of about 20%. This number seems conservative and attainable enough, but Tesla simply maintained that its volume growth would be substantially lower than 2023’s ~40%.
Wedbush analyst Dan Ives shared his sentiments about Tesla’s earnings call, in a post on X. Ives described the call, which provided some high-level long-term views on the company, as another “train wreck” conference call. Following the earnings call, Ives adjusted his price target for Tesla from $350 to $315 per share, though he also noted that Wedbush remains bullish on the company.
Great to join @bsurveillance discussing another train wreck conf call in our view from Tesla and Musk lacking margin outlook and firm guidance for 24. Remain bullish for long term EV/AI vision but near term headwinds @lisaabramowicz1 @FerroTV @annmarie @BloombergTV https://t.co/E40CMG2Mg0— Dan Ives (@DivesTech) January 25, 2024
“We were dead wrong expecting Musk and team to step up like adults in the room on the call and give a strategic and financial overview of the ongoing price cuts, margin structure, and fluctuating demand. Instead, we got a high-level Tesla long-term view with another train wreck conference call,” Ives noted.
RBC analyst Tom Narayan also maintained his “Buy” rating on Tesla, though he lowered his price target from $300 to $297 per share. “We leave our delivery estimates unchanged after the vague guide, but lower our car gross margin expectations on less robust cost down opportunity,” he noted in a report. Narayan also pointed out that Tesla’s next-generation vehicle platform is still “many quarters away” from impacting the company’s numbers.
New $TSLA report from Adam Jonas: 5 thoughts post earnings call
“We reiterate our OW $TSLA rating ($345 price target) which offers over 80% upside from current levels which we believe is compelling in proportion to the investment level within our US auto coverage.” pic.twitter.com/TdZ2cLavdc— Sawyer Merritt (@SawyerMerritt) January 25, 2024
Morgan Stanley’s Adam Jonas, for his part, pointed out that Tesla almost did not provide any guidance during the call. He also observed that there were no “AI rabbits” pulled out of Tesla’s hat during the call, which was highlighted by Musk’s conservative comments about Dojo. Despite this, Morgan Stanley opted to maintain its “Overweight” rating and $345 price target on Tesla, with a bear case PT of $100 and a bull case PT of $500 per share.
While the sentiments surrounding Tesla’s Q4 and FY 2023 earnings call seem generally negative, some analysts opted to take a more optimistic stance on the company. Canaccord lowered its price target for Tesla from $267 to $234 per share, though the firm also noted that it is time for investors to be patient about the company. The firm noted that it remains bullish about Tesla’s long-term prospects.
NEWS: Canaccord Genuity has lowered its $TSLA price target to $234 (from $267), maintains a BUY rating.
They put out a good note:
“It’s time to be patient. The next-generation vehicle, FSD upgrades, margin improvement, and Optimus will likely bring an acceleration in revenue…— Sawyer Merritt (@SawyerMerritt) January 25, 2024
“It’s time to be patient. The next-generation vehicle, FSD upgrades, margin improvement, and Optimus will likely bring an acceleration in revenue growth. But not this year — 2024 will be subdued; probably a trough, but still relatively slow (we model ~18% y\y revenue growth). Growth curves are seldom smooth, and Tesla is no different.
“We are still quite bullish on Tesla’s long-term growth prospects. We think EVs will replace ICE vehicles despite recent countervailing narratives. We see vehicle autonomy as one of the highest value-creating technologies to be deployed. Ever. And Tesla, with its razor/ razorblade approach, is a leader in this real-world AI. We think Tesla is Apple on steroids as it focuses on manufacturing and a higher level of vertical integration. Tesla is THE sustainability behemoth, in our opinion,” the firm noted.
The critical metric, auto gross margins ex credits, came in at 17%, compared to the Street at 17.3%. I was expecting 16.7%.
While this missed the Street, it marks the end of four consecutive quarters of margin decline, up from 16.3% in the Sep-23.
Over this is a positive.— Gene Munster (@munster_gene) January 24, 2024
Longtime Tesla bull Gene Munster of Deepwater Asset Management also pointed out that Tesla’s auto gross margins for the past quarter ended a streak of dropping margins. “The critical metric, auto gross margins ex credits, came in at 17%, compared to the Street at 17.3%. I was expecting 16.7%. While this missed the Street, it marks the end of four consecutive quarters of margin decline, up from 16.3% in the Sep-23. Over, this is a positive,” Munster wrote on X.
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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
