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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News
Tesla faces Full Self-Driving pushback in EU over ‘speeding’
A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.
The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.
TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.
Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.
Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.
TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.
This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.
This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.
However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.
Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.
Elon Musk
Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’
Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.
The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.
A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”
Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.
This functionality will be there in about 3 months or so
— Elon Musk (@elonmusk) June 18, 2026
Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.
This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.
The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.
Musk teased that a similar feature was “coming” back in February:
Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says
It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.
Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.
Here’s an example of that from December:
🚨🏈 I am taking my parents and Fiancee to the @Ravens game next weekend and asked @Grok to help me route my @Tesla through a specific neighborhood to reach the correct Lot we will park in.
This is a great example of the new @grok nav integration with the Tesla Holiday Update: pic.twitter.com/rPp4I7q8Yv
— TESLARATI (@Teslarati) December 13, 2025
Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.
We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.
News
Tesla Cybercab has one important piece that AI4 cars might need for FSD
A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.
This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.
The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.
Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.
But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:
And this is how the side camera and washer look like on a Cybercab. This is from an Engineering vehicle in Peabody MA. pic.twitter.com/Re8VknpmLM
— Tobias Goebel (Unsupervised) (@tpgoebel) June 17, 2026
This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.
For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.
Without it, even the most advanced neural nets struggle when their “eyes” are compromised.
What Does This Mean for AI4 Cars?
This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:
Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys
As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.
As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.