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Tesla’s ride-hailing services: which U.S. cities will see them first?

Credit: Tesla

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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.

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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

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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.

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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.

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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.

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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.

Waymo leads robotaxi industry, at least for now

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Elon Musk

Elon Musk’s Terafab project locks up massive new partner

Terafab, first revealed by Musk in March, is a massive joint-venture semiconductor complex planned for the North Campus of Giga Texas in Austin.

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Credit: SpaceX

Elon Musk’s Terafab project just locked up a massive new partner, just weeks after the new project was announced by Tesla, SpaceX, and xAI, the three companies that will be direct benefactors from it.

In a landmark announcement on April 7, Intel joined Elon Musk’s Terafab project as a key partner alongside Tesla, SpaceX, and xAI. The collaboration focuses on refactoring silicon fabrication technology to deliver ultra-high-performance chips at unprecedented scale.

Intel CEO Lip-Bu Tan hosted Musk at Intel facilities the prior weekend, underscoring the partnership’s momentum with a public handshake.

Terafab, first revealed by Musk in March, is a massive joint-venture semiconductor complex planned for the North Campus of Giga Texas in Austin. Valued at $20–25 billion, it aims to consolidate the entire chip-making pipeline, design, fabrication, memory production, and advanced packaging in a single location. It should eliminate a majority of Tesla’s dependence on third-party chip fab companies.

The facility will manufacture two primary chip types: energy-efficient edge-inference processors optimized for Tesla’s Full Self-Driving (FSD) systems, Cybercab and Robotaxi, and Optimus humanoid robots, and high-power, radiation-hardened variants for SpaceX satellites and xAI’s orbital data centers.

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Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

The project’s audacious goal is to produce 1 terawatt (TW) of annual compute capacity, roughly 50 times current global AI chip output.

Production is expected to begin modestly and scale rapidly, addressing Musk’s warning that chip supply could soon become the biggest constraint on Tesla, SpaceX, and xAI growth. By vertically integrating manufacturing tailored to their exact needs, Terafab eliminates supply-chain bottlenecks and accelerates iteration for AI training, inference at the edge, and space-based computing.

Intel’s participation is strategically vital. The company will contribute expertise in advanced process technology, high-volume fabrication, and packaging to help Terafab achieve its aggressive targets. For Intel, the deal strengthens its foundry business and positions it as a critical U.S. player in the AI hardware race.

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For Musk’s ecosystem, it secures domestic, purpose-built silicon at a time when global capacity meets only a fraction of projected demand for hundreds of millions of robots and orbital AI infrastructure.

This is the latest chapter in Intel-Tesla ties. In November 2025, Musk publicly stated at Tesla’s shareholder meeting that partnering with Intel on AI5 chips was “worth having discussions,” amid concerns about TSMC and Samsung capacity.

Exploratory talks followed, with Intel eyeing custom-AI opportunities. The Terafab integration transforms those conversations into concrete collaboration.

The Intel-Terafab alliance carries broader implications. It bolsters U.S. semiconductor sovereignty, drives innovation in cost- and power-efficient AI silicon, and supports Musk’s vision of exponential progress in autonomy, robotics, and space.

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As AI compute demand surges, this partnership could reshape the industry, delivering the silicon backbone for a new era of intelligent machines on Earth and beyond.

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Investor's Corner

Tesla stock gets hit with shock move from Wall Street analysts

Despite Tesla not being an automotive company exclusively, the Wall Street firms and analysts covering its shares are widely dialed in on its performance regarding quarterly deliveries. While it holds some importance, Tesla, from an internal perspective, is more focused on end-to-end AI, Robotaxi, self-driving, and its Optimus robot.

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Credit: Tesla

Tesla price targets (NASDAQ: TSLA) have received several cuts over the past few days as Wall Street firms are adjusting their forecast for the company’s stock following a miss in quarterly delivery figures for the first quarter.

Despite Tesla not being an automotive company exclusively, the Wall Street firms and analysts covering its shares are widely dialed in on its performance regarding quarterly deliveries. While it holds some importance, Tesla, from an internal perspective, is more focused on end-to-end AI, Robotaxi, self-driving, and its Optimus robot.

In a notable shift underscoring mounting caution on Wall Street, three prominent investment banks slashed their price targets on Tesla Inc. shares over the past two weeks following the electric-vehicle giant’s disappointing first-quarter 2026 delivery numbers. The revisions highlight softening EV sales figures and, according to some, execution challenges.

Tesla’s Q1 delivery figures show Elon Musk was right

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Tesla delivered 358,023 vehicles in the January-to-March period, a 14 percent sequential decline and a miss versus consensus forecasts of roughly 365,000 to 370,000 units.

Production hit 408,000 vehicles, yet the delivery shortfall, paired with limited updates on autonomous-driving progress and new-model timelines, rattled investors. Shares fell about 8.7 percent since April 1.

Wall Street analysts are now adjusting their forecasts accordingly, as several firms have made adjustments to price targets.

Goldman Sachs

Goldman Sachs cut its target from $405 to $375 while maintaining a Hold rating. Analyst Mark Delaney pointed to soft EV sales trends and margin pressures.

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Truist Financial followed on April 2, lowering its target from $438 to $400 (Hold unchanged), with analyst William Stein citing misses in both auto deliveries and energy-storage deployments, plus a lack of fresh details on AI initiatives and upcoming vehicles.

It is a strange drop if using AI initiatives and upcoming vehicles as a justification is the primary focus here. Tesla has one of the most optimistic outlooks in terms of AI, and CEO Elon Musk recently hinted that the company is developing something for the U.S. market that will be good for families.

Baird

Baird’s Ben Kallo made a very modest trim, reducing its target from $548 to $538, keeping and maintaining the ‘Outperform’ rating it holds on shares. Kallo said the price target adjustment was a prudent recalibration tied to near-term risks.

Truist

Truist analyst William Stein pointed to deliveries and energy storage missing expectations, and cut his price target to $400 from $438. He maintained the ‘Hold’ rating the firm held on the stock previously.

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JPMorgan

Adding to the bearish tone on Monday, April 6, JPMorgan’s Ryan Brinkman reiterated an Underweight (Sell) rating and $145 price target, implying roughly 60 percent downside from recent levels.

Brinkman highlighted a “record surge in unsold vehicles” that adds to free-cash-flow woes, with inventory swelling to an estimated 164,000 units.

Tesla’s comfort level taking risks makes the stock a ‘must own,’ firm says

He lowered his Q1 2026 EPS estimate to $0.30 from $0.43 and full-year 2026 EPS to $1.80 from $2.00, both below consensus. Brinkman noted that expectations for Tesla’s performance have “collapsed” across financial and operating metrics through the end of the decade, yet the stock has risen 50 percent, and average price targets have increased 32 percent.

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This disconnect, he argued, prices in an unrealistic sharp pivot to stronger results beyond the decade, while near-term realities remain materially weaker.

He advised investors to approach TSLA shares with a “high degree of caution,” citing elevated execution risk, competition, and valuation concerns in lower-price, higher-volume segments.

The revisions have pulled the overall consensus lower. Aggregators show the average 12-month price target now ranging from approximately $394 to $416 across roughly 32 analysts, with a prevailing Hold rating and a mixed split of Buy, Hold, and Sell recommendations.

Brinkman’s $145 target stands as a notable outlier on the bearish side.

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Not Everyone Has Turned Bearish on Tesla Shares

Not all firms turned more pessimistic. Wedbush Securities held its bullish $600 target, stressing that AI and full self-driving technology represent the core value drivers, with current delivery softness viewed as temporary.

These moves reflect a broader Wall Street recalibration: near-term EV demand faces pressure from high interest rates, intensifying competition, especially from lower-cost Chinese rivals, and slower adoption.

At the same time, many analysts continue to see Tesla’s technology leadership in software-defined vehicles, autonomy, robotaxis, and energy storage as pathways to outsized long-term gains once macro conditions ease and new models launch.

With Tesla’s first-quarter earnings report due later this month, upcoming details on cost discipline, Cybertruck ramp-up, and AI roadmaps will likely shape whether these target adjustments prove prescient or overly cautious. Investors remain divided between immediate delivery realities and the company’s ambitious vision.

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Tesla shares are trading at $348.82 at the time of publishing.

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Elon Musk

Tesla Full Self-Driving feature probe closed by NHTSA

Actually Smart Summon allows owners to move their parked Tesla via a smartphone app remotely, directing the vehicle short distances in parking lots or private property while the driver supervises from the phone.

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tesla summon
Credit: YouTube/Hector Perez

A probe into a popular Tesla self-driving feature has been closed by the National Highway Traffic Safety Administration (NHTSA) after over a year of scrutiny from the government agency.

The NHTSA has officially closed its investigation into Tesla’s Actually Smart Summon (ASS) feature, marking a regulatory win for the electric vehicle maker after more than a year of scrutiny.

Here’s our coverage on the launch of the probe:

Tesla’s Actually Smart Summon feature under investigation by NHTSA

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The preliminary investigation, opened last January, examined roughly 2.59 million Tesla vehicles equipped with the feature across the Model S, Model X, Model 3, and Model Y lineups. ASS is not available for Cybertruck currently.

Actually Smart Summon allows owners to move their parked Tesla via a smartphone app remotely, directing the vehicle short distances in parking lots or private property while the driver supervises from the phone.

Here’s a clip of us using it:

Introduced as an upgrade to the original Smart Summon, the feature was designed to enhance convenience but drew attention after reports of low-speed incidents where vehicles bumped into stationary objects like posts, parked cars, or garage doors.

The NHTSA’s Office of Defects Investigation reviewed 159 incidents, including one formal Vehicle Owner’s Questionnaire complaint and media reports.

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Notably, all events occurred at very low speeds, resulted only in minor property damage, and involved zero injuries or fatalities. The agency determined that the incidents were “extremely rare”, a fraction of one percent across millions of Summon sessions, and did not indicate a systemic safety-related defect.

A key factor in the closure was Tesla’s proactive response through over-the-air (OTA) software updates.

During the probe, Tesla deployed at least six updates that improved camera-based object detection, enhanced neural network performance for obstacle recognition, and refined the system’s response to potential hazards. These iterative improvements, delivered wirelessly to the entire fleet, addressed the primary concerns around detection reliability and operator reaction time.

Critics of Tesla’s autonomous features had initially pointed to the crashes as evidence of rushed deployment, especially given the feature’s reliance on the company’s vision-only Full Self-Driving (FSD) stack. However, NHTSA’s decision to close the case without seeking a recall underscores the low-severity nature of the events and the effectiveness of software-based fixes in modern vehicles.

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It definitely has its flaws. I used ASS yesterday unsuccessfully:

However, improvements will come, and I’m confident in that.

The closure comes as Tesla continues to push boundaries with its autonomous driving ambitions, including unsupervised FSD rollouts and robotaxi initiatives. For owners, the ruling reinforces confidence in Actually Smart Summon as a convenient, low-risk tool rather than a hazardous experiment.

While broader NHTSA reviews of Tesla’s higher-speed FSD capabilities remain ongoing, this outcome highlights how data-driven analysis and rapid OTA remediation can satisfy regulators in the evolving landscape of automated driving technology.

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Tesla has not issued an official statement on the closure, but the move is widely viewed as bullish for the company’s autonomy roadmap, reducing one layer of regulatory overhang and allowing focus on further refinements.

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