Many in the Tesla and electric vehicle (EV) community have eagerly awaited the company’s rollout of a driverless ride-hailing service, and a few recent developments suggest that the company may be considering multiple U.S. cities for early pilot programs.
Tesla is in talks with Austin, Texas officials about rolling out early pilot programs for its self-driving robotaxis as early as next year, as reported by Bloomberg earlier this month, and echoing CEO Elon Musk’s previous aims to launch commercial robotaxis in 2025. As detailed in emails acquired by the publication through public record requests, a Tesla employee has already been discussing the deployment of such fleets since at least May, though the company has also been considering pilot deployment in other Texas cities.
“Tesla is still working to strategically find a city within Texas to deploy… The city of Austin is obviously on our roadmap, but has not yet been decided where we will deploy first as we have many options available,” wrote an employee in one email from November.
The report also said that Tesla reached out to the city of Austin ahead of its October 10 “We, Robot” event, during which it unveiled the Cybercab, and the employee expressed hopes to meet safety expectations in the city of Austin, along with training first responders on how to interact with autonomous vehicles.
Earlier this month, Tesla held an event at its Gigafactory in Austin to help train first responders on its autonomous vehicle technology, though the employee said it wouldn’t yet be used on public roads and would let officials know of any changes to that.
Tesla’s initial ride-hailing pilots could also target California, with internal tests already underway
During the company’s Q3 earnings call in October, Elon Musk also said that employees in the Bay Area, California were already testing ride-hailing services internally. Using the company’s development app, Tesla employees can already request rides and be taken to anywhere in the Bay, according to the CEO.
Both Texas and California cities make sense for Tesla’s initial rollout of commercial robotaxi services, especially given that Musk also said the company aims to debut ride-hailing services and “Unsupervised” Full Self-Driving (FSD) approval in both of these states in 2025, dependent upon regulatory approval. Musk also said that the current internal ride-hailing tests in the Bay Area utilize safety drivers initially, though it isn’t required to do so.
Watch Tesla’s FSD v13.2 navigate away from park in a tricky situation
READ MORE: Tesla is ramping its Cybercab testing sessions at Giga Texas
Earlier this month, a Deutsche Bank report noted that Head of Investor Relations Travis Axelrod said also said Tesla plans to utilize teleoperation during initial rollout of autonomous ride-hailing efforts, as a safety and redundancy measure. This will likely play a role wherever the company first deploys commercial ride-hailing efforts.
Tesla also teased a ride-hailing mobile app in its Q1 Shareholder Deck earlier this year, showing a summon button to order ride-hails, an estimated wait time, climate controls for during the ride, navigation details, and even the ability to select and cycle through music or other media options.
Credit: Tesla
The mobile app avatar showed a Model Y, highlighting the ability for Tesla’s other vehicles to be eligible for ride-hailing operations through the Supervised Full Self-Driving (FSD) program, which is available to any owner who purchases the software through a subscription or one-time purchase.
Tesla Cybercab, Waymo and commercial robotaxis
We also learned in October that the Cybercab features a large touchscreen, in addition to excluding a steering wheel or pedals. You can catch our first ride in the Cybercab below, as captured during Tesla’s October 10 “We, Robot” event in Southern California.
?: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz
— TESLARATI (@Teslarati) October 11, 2024
Both Texas and California make sense as locations Tesla would deploy early ride-hailing services, especially given its Fremont factory, Palo Alto engineering headquarters, and its competitor Waymo, which already operates paid driverless ride-hailing in San Francisco and Los Angeles.
Although Tesla isn’t expected to enter production with the Cybercab until 2026, the company’s other vehicles could be used to operate commercial self-driving at some point, though it also faces multiple competitors aiming to deploy these services.
Meanwhile, Waymo, the commercial robotaxi company backed by Google parent company Alphabet, has already been operating paid driverless ride-hailing in San Francisco since last year, and it has expanded services to Los Angeles, and Phoenix, Arizona throughout this year. This week, the company said it’s now giving over 150,000 paid driverless rides per week.
Amazon owns the driverless ride-hailing company Zoox, which has recently also gained some ground in deploying commercial self-driving ride-hailing vehicles in the Bay Area.
With General Motors (GM) recently announcing the end of its self-driving arm Cruise, one less future competitor remains for Tesla in the commercial robotaxi space. Musk joining the administration of incoming President Donald Trump is also widely expected to accelerate regulation efforts in the rollout of self-driving technology, though the urgency of the emerging market is quickly becoming clearer.
Still, Musk and Tesla supporters have argued that the company’s FSD will be more scalable than companies like Waymo utilizing geo-mapping efforts, due to its AI neural network model being trained on video footage from real-time drivers across the company’s ownership network. With added safety measures like teleoperation and safety drivers in its early rollout of commercial robotaxi services, Tesla may yet be able to gain enough public and regulatory trust to start deploying these services in the coming months.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
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Investor's Corner
Barclays lifts Tesla price target ahead of Q3 earnings amid AI momentum
Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.
Barclays has raised its price target for Tesla stock (NASDAQ: TSLA), with the firm’s analysts stating that the electric vehicle maker is approaching its Q3 earnings with two contrasting “stories.”
Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.
Tesla’s AI and autonomy narrative
Levy told investors that Tesla’s “accelerating autonomous and AI narrative,” amplified by CEO Elon Musk’s proposed compensation package, is energizing market sentiment. The analyst stated that expectations for a Q3 earnings-per-share beat are supported by improved vehicle delivery volumes and stronger-than-expected gross margins, as noted in a TipRanks report.
Tesla has been increasingly positioning itself as an AI-driven company, with Elon Musk frequently emphasizing the long-term potential of its Full Self-Driving (FSD) software and products like Optimus, both of which are heavily driven by AI. The company’s AI focus has also drawn the support of key companies like Nvidia, one of the world’s largest companies today.
Still cautious on TSLA
Despite bullish AI sentiments, Barclays maintained its caution on Tesla’s underlying business metrics. Levy described the firm’s stance as “leaning neutral to slightly negative” heading into the Q3 earnings call, citing concerns about near-term fundamentals of the electric vehicle maker.
Barclays is not the only firm that has expressed its concerns about TSLA stock recently. As per previous reports, BNP Paribas Exane also shared an “Underperform” rating on the company due to its two biggest products, the Robotaxi and Optimus, still generating “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” BNP Paribas, however, also estimated that Tesla will have an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040, and more than 11 million FSD subscriptions by 2030.
Investor's Corner
BNP Paribas Exane initiates Tesla coverage with “Underperform” rating
The firm’s projections for Tesla still include an estimated 525,000 active Robotaxis by 2030.
Tesla (NASDAQ: TSLA) has received a bearish call from BNP Paribas Exane, which initiated coverage on the stock with an Underperform rating and a $307 price target, about 30% below current levels.
The firm’s analysts argued that Tesla’s valuation is driven heavily by artificial intelligence ventures such as the Robotaxi and Optimus, which are both still not producing any sales today.
Tesla’s valuation
In its note, BNP Paribas Exane stated that Tesla’s two AI-led programs, the Robotaxi and Optimus robots, generate “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” The research firm’s model projected a maximum bull-case valuation of $2.7 trillion through 2040, but after discounting milestone probabilities, its base-case valuation remained at $1.02 trillion.
The analysts described their outlook as optimistic toward Tesla’s AI ventures but cautioned that the stock’s “unfavorable risk/reward is clear,” adding that consensus earnings expectations for 2026 remain too high. Tesla’s market cap currently stands around $1.44 trillion with a trailing twelve-month revenue of $92.7 billion, which BNP Paribas argued does not justify Tesla’s P/E ratio of 258.59, as noted in an Investing.com report.
Tesla and its peers
BNP Paribas Exane’s report also included a comparative study of the “Magnificent Seven,” finding Tesla’s current market valuation as rather aggressive. “Our unique comparative analysis of the ‘Mag 7’ reveals the extreme nature of TSLA’s valuation, as the market implicitly says TSLA’s 2035 earnings (~55% of which will be driven by Robotaxi & Optimus, w/ zero sales now) have the same level of risk & value-appropriation as the ‘Mag 6’s’ 2026 earnings,” the firm noted.
The firm’s projections for Tesla include an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040 priced above $20,000 each, and more than 11 million Full Self-Driving subscriptions by 2030. Interestingly enough, these seem to be rather optimistic projections for one of the electric vehicle maker’s more bearish estimates today.
News
Tesla FSD’s new Mad Max mode is getting rave reviews from users
It does appear that Mad Max mode is destined to be one of the system’s biggest steps forward to date.
Tesla’s release notes for the newly released Mad Max mode for FSD (Supervised) V14.1.2 simply stated that the feature “comes with higher speeds and more frequent lane changes than Hurry.” But as per videos that have been posted online by FSD users who have tested the system, it does appear that Mad Max mode is destined to be one of the system’s biggest steps forward to date.
It is then no surprise that the new capability is getting rave reviews from Tesla owners.
Impressive tests
A look at posts on social media platform X would show that, similar to past FSD releases, numerous Tesla content creators immediately tested Mad Max mode on real-world streets after it was downloaded onto their vehicle. Considering that the update was released rather late, the first tests of Mad Max mode were done at night. Despite this, it was evident that Tesla worked very hard to make Mad Max mode into something that is very useful in real-world scenarios.
This could be seen in videos from longtime Tesla owner @BLKMDL3, who observed that Max Max mode was “amazing” and like “perfect for LA traffic” due to its cautious but assertive nature. Later on, the Tesla owner noted that after eight drives, it was evident that FSD (Supervised) V14.1.2 was impressive.
Assertive but safe
Other testers such as Model Y owner Sawyer Merritt noted that Mad Max mode drives very quickly and confidently, with smoother acceleration that is still very safe. These were echoed by another longtime FSD tester, Dirty Tesla, who noted that Mad Max mode seems to be designed for heavy, aggressive traffic so users could fit in better. The FSD user did, however, observe that Mad Max mode does speed up a lot on open roads.
Recent comments from Tesla AI Head Ashok Elluswamy have indicated that Mad Max mode was created to be a solution for daytime congested traffic, which is arguably one of the most soul-crushing experiences that drivers deal with on a daily basis. With this in mind, it does appear that FSD (Supervised) V14.1.2 could prove to be a notable step forward in Tesla’s push towards true autonomous driving.
Barclays lifts Tesla price target ahead of Q3 earnings amid AI momentum
BNP Paribas Exane initiates Tesla coverage with “Underperform” rating
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