That gap between what the BMW driver saw and what FSD had already processed is the story. Tesla FSD wasn’t reacting to a person in the street, rather it was reading the signals that a person was about to enter it based on the pedestrian’s movement, trajectory, and their trajectory to telegraph intent.

Tesla’s FSD is now built on an end-to-end neural network trained on billions of real-world miles, learning to interpret subtle human behavioral cues the same way an experienced human driver does instinctively. The difference is consistency. A human driver distracted for two seconds misses what FSD does not.

Tesla sues California DMV over Autopilot and FSD advertising ruling

Reddit commenters in the thread were blunt about the BMW driver’s failure, with several pointing out that the pedestrian was visible well before the crossing. One response put it plainly that the car on FSD saw the situation developing before the human in the other car had registered there was a situation at all.

Tesla has published data showing FSD (Supervised) is 54% safer than a human driver, accumulated across billions of miles driven on the system. Elon Musk has said FSD v14 will outperform human drivers by a factor of two to three, and that v15 has “a shot” at a 10x improvement. Pedestrian safety is where the stakes are highest, and where intent prediction closes the gap fastest. At 30 mph, a car covers roughly 44 feet per second. An extra second of awareness from reading a person’s body language rather than waiting for them to step out is often the difference between a near miss and a fatality.

Video and community discussion: r/TeslaFSD on Reddit

FSD saves man from becoming a pancake. BMW driver nearly flattens him.
by
u/Qwertygolol in
TeslaFSD

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According to the Vacaville Police Department, as posted through their Facebook page, a concerned community member spotted the very relaxed driver, stayed on the line with dispatch, and guided officers to the intersection of Elmira Road and Shasta Drive where they stopped the vehicle. Alcohol and marijuana were confirmed. No medical emergency, and what appears to be just an extremely committed drunken nap.

The Vacaville Police noted that California permits drivers to use assistive driving features like Tesla’s FSD, but the law still requires them to be “conscious, alert, and not under the influence while operating them.” The post drew some humorous reactions in the comments section, with one commenter piping in, “That time when his vehicle had more situational awareness than he did.” Another commenter chimed in, “Sutter all the way home….”

Tesla Full Self-Driving v14.2.1 texting and driving: we tested it

The incident lands in an interesting moment for Tesla. Elon Musk caused his own stir in December 2025 when he responded to a user question about whether FSD v14.2.1 allowed texting behind the wheel with a simple “Depending on context of surrounding traffic, yes.” He had earlier told investors that drivers turning off autopilot to check texts while steering with their knees was “significantly less safe” than simply letting FSD run, which he called “kind of the killer app.” Neither statement included anything about Sutter Home wine being part of the equation.

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Fortune’s list, produced annually in partnership with Statista, evaluates 300 companies across three dimensions: product innovation, process innovation, and innovation culture. This year’s cohort of 300 generated over $12.5 trillion in combined revenue, and Tesla’s entry places it alongside Rivian, which made the list for the first time. Tesla edges out Rivian on the strength of a product pipeline that is meaningfully further along. Where Rivian has introduced a self-driving AI model, Tesla has logged over 8 billion miles on its Full Self Driving tech, logged more than 250,000 miles of unsupervised Robotaxi service in Austin, and rolled the first production Cybercab off the line at Gigafactory Texas in February 2026.

Credit: Tesla

The Cybercab is the product that defines Tesla’s case for innovation. It has no steering wheel, no pedals, and is designed to be produced at a cycle time of one vehicle every ten seconds using a revolutionary unboxed manufacturing process. Elon Musk, speaking at Tesla’s 2025 Annual Shareholder Meeting, described it plainly: “Manufacturing for the Cybercab is closer to a high-volume consumer electronics device than a car manufacturing line.” That ambition is unprecedented in the automotive industry. Musk also acknowledged the ramp will be deliberate: “Almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”

: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz

— TESLARATI (@Teslarati) October 11, 2024

Historically, Tesla’s recognition on lists like this has tracked with its product breakthroughs. The company changed the auto industry’s trajectory when it proved electric vehicles could be desirable, then again when it scaled Gigafactory production, and again when FSD began logging real safety data at scale. The Cybercab represents the next inflection point, a purpose-built autonomous vehicle priced below $30,000 that is designed to operate in a networked Robotaxi fleet expanding from Austin to Miami, Dallas, Phoenix, and Las Vegas.

Fortune’s recognition arrives as Tesla is navigating one of its most consequential years. Mass production begins in April 2026. Regulatory approvals are progressing alongside deployment data. Rivals are watching closely.

Here is a look at the top companies on Fortune’s 2026 list, led by Alphabet for the fourth straight year:

• 1. Alphabet — AI leadership across Search, DeepMind, and Waymo; dominant patent portfolio and innovation culture
• 2. Microsoft — Azure AI, Copilot integration across enterprise software, and OpenAI partnership
• 3. Apple — iPhone ecosystem innovation, Apple Silicon, and Vision Pro spatial computing platform
• 4. Abbott — medical device breakthroughs including continuous glucose monitors and cardiac diagnostics
• 5. KLA — semiconductor process control enabling AI chip production at scale; newcomer to the top 5
• 6–20. Additional confirmed inclusions: Tesla, Harness (No. 24), Rivian, Cognizant, PPG, DXC Technology, and Advanced Technology Services, among 98 first-time entrants. The complete ranked list is available at fortune.com (behind a paywall)

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Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.

While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.

Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.

Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report

The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.

(Credit: Tesla)

This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.

Credit: @serobinsonjr/X

The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.

The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.

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Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

It looks like Tesla is preparing to launch the Robotaxi app for Android users at last!

A decompile of v26.2.0 of the Robotaxi app shows some progress on the Android side for Robotaxi https://t.co/mThmoYuVLy

— TESLARATI (@Teslarati) March 13, 2026

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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At Lucid Investor Day 2026, the company introduced Lunar, a purpose-built robotaxi concept based on the Midsize platform.

A comparison to Tesla’s Cybercab is unavoidable. The concept of a Tesla robotaxi was first introduced by Elon Musk back in April 2019 during an event dubbed “Autonomy Day,” where he envisioned a network of self-driving Tesla vehicles transporting passengers while not in use by their owners. That vision took another major step in October 2024 when, Musk unveiled the Cybercab at the Tesla “We, Robot” event held at Warner Bros. Studios in Burbank, California, where 20 concept Cybercabs autonomously drove around the studio lot giving rides to attendees.

Tesla unveils the Robovan at ‘We, Robot’ event

Fast forward to today, and Tesla’s ambitions are finally materializing, but not without friction. As we recently reported, the Cybercab is being spotted with increasing frequency on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production. Tesla already operates a small scale robotaxi service in Austin using supervised Model Ys, but the Cybercab is designed from the ground up for high-volume, low-cost production, with Musk stating an eventual goal of producing one vehicle every 10 seconds.

At Lucid Investor Day 2026, the company introduced Lunar, a purpose-built robotaxi concept based on the Midsize platform.

Into this landscape steps Lucid’s Lunar. Built on the company’s all-new Midsize EV platform, which will also underpin consumer SUVs starting below $50,000. The Lunar mirrors the Cybercab’s core philosophy of having two seats, no driver controls, and a focus on fleet economics. The platform introduces Lucid’s redesigned Atlas electric drive unit, engineered to be smaller, lighter, and cheaper to manufacture at scale.

Unlike Tesla’s strategy of building its own ride hailing network from scratch, Lucid is partnering with Uber. The companies are said to be in advanced discussions to deploy Midsize platform vehicles at large scale, with Uber CEO Dara Khosrowshahi publicly backing Lucid’s engineering credentials and autonomous-ready architecture.

In the investor day event, Lucid also outlined a recurring software revenue model, with an in-vehicle AI assistant and monthly autonomous driving subscriptions priced between $69 and $199. This can be seen as a nod to the software revenue stream that Tesla has long championed with its Full Self-Driving subscription.

Tesla’s Cybercab is targeting a price point below $30k and with operating costs as low as 20 cents per mile. But with regulatory hurdles still ahead, the window for competition is open. Lucid’s Lunar may not have a launch date yet, but it arrives at a pivotal moment, and when the robotaxi race is no longer viewed as hypothetical. Rather, every serious EV player needs to come to bat on the same plate that Tesla has had countless practice swings on over the last seven years.

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A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.

The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.

Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.

Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]

Tesla ramps Cybercab test manufacturing ahead of mass production

Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.

With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.

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Percoco recently overtook coverage of Tesla stock from Adam Jonas, who had covered the company at Morgan Stanley for years. Percoco is handling Tesla now that Jonas is covering embodied AI stocks and no longer automotive.

His first move after grabbing coverage was to adjust the price target from $410 to $425, as well as the rating from ‘Overweight’ to ‘Equal Weight.’

Percoco’s new note regarding Tesla highlights the company’s extensive lead in self-driving and autonomy projects, something that it has plenty of competition in, but has established its prowess over the past few years.

He writes:

“It’s not even close. Tesla continues to lead in autonomous driving, even as Nvidia rolls out new technology aimed at helping other automakers build driverless systems.”

Percoco’s main point regarding Tesla’s advantage is the company’s ability to collect large amounts of training data through its massive fleet, as millions of cars are driving throughout the world and gathering millions of miles of vehicle behavior on the road.

This is the main point that Percoco makes regarding Tesla’s lead in the entire autonomy sector: data is King, and Tesla has the most of it.

One big story that has hit the news over the past week is that of NVIDIA and its own self-driving suite, called Alpamayo. NVIDIA launched this open-source AI program last week, but it differs from Tesla’s in a significant fashion, especially from a hardware perspective, as it plans to use a combination of LiDAR, Radar, and Vision (Cameras) to operate.

Percoco said that NVIDIA’s announcement does not impact Morgan Stanley’s long-term opinions on Tesla and its strength or prowess in self-driving.

NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief

And, for what it’s worth, NVIDIA CEO Jensen Huang even said some remarkable things about Tesla following the launch of Alpamayo:

“I think the Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not is somewhat secondary to that first part.”

Percoco reiterated both the $425 price target and the ‘Equal Weight’ rating on Tesla shares.

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Back in 2025, the partnership between the three companies was announced, aiming to launch a unique ride-sharing platform using over 20,000 Lucid vehicles equipped with the Nuro Driver technology. The vehicles are owned and operated by Uber.

The companies have already initiated some testing in the San Francisco Bay Area, which is a big step in the right direction for the project. The plan currently is to launch it to the public in the Bay later this year. Nuro will lead the testing using robotaxi engineering prototypes that are supervised by autonomous vehicle operators.

Currently, there are over 100 robotaxis in the Engineering Test Fleet.

The Gravity vehicles are fitted with a next-gen sensor array featuring high-res cameras, solid-state LiDAR sensors, and radars that will provide a 360-perception model, as well as a “purpose-built roof-mounted halo designed to maximize sensor visibility,” which is seen on top of the Gravity unit above.

The halo also has integrated LEDs to help riders more easily identify the correct vehicle by displaying their initials. The halo will also provide clear status updates from pickup through dropoff.

These units for the robotaxi program between the three companies will start being produced later this year at Lucid’s Arizona AMP-1 factory.

Uber chose the Lucid Gravity specifically due to its “unprecedented comfort” and its reputation, as it was named to Car and Driver’s 10 Best for 2026. But Uber is customizing some things for the Gravity so that it is specifically catered to robotaxi riders:

• For the first time, Uber is designing the in-vehicle rider experience, which will include interactive screens with entertainment and climate control options, as well as support contacts and vehicle maneuver requests, like a request to pull over.
• It will also have in-vehicle visualization, showing what the robotaxi sees and its path in real-time. This will be a nice transition for those who are skeptical about driverless vehicles, and will show what the vehicle and its sensors, LiDAR, and cameras see.
• The Gravity is also a sizeable SUV, which will give riders space for themselves and their luggage.

This is the latest application of a ride-hailing platform that leans on autonomy for its operation, essentially phasing out the need for human drivers in various markets, starting with the Bay Area.

More companies are dipping their toes in the project, giving them the opportunity to establish some early momentum, as there are only a handful of companies that are currently operating this in the United States. Uber, Lucid, and Nuro aim to be the next, and initiating this program at this time is big for their chance at success.

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As noted in the listing, Tesla China is currently seeking a Low Voltage Electrical Engineer to work on circuit board design for the company’s autonomous vehicles.

Robotaxi-specific role

The listing, which was shared on social media platform X by industry watcher @tslaming, suggested that Tesla China is looking to fill the role urgently. The job listing itself specifically mentions that the person hired for the role will be working on the Low Voltage Hardware team, which would design the circuit boards that would serve as the nervous system of the Robotaxi. 

Key tasks for the role, as indicated in the job listing, include collaboration with PCB layout, firmware, mechanical, program management, and validation teams, among other responsibilities. The role is based in Shanghai.

China Robotaxi launch

China represents a massive potential market for robotaxis, with its dense urban centers and supportive policies in select cities. Tesla has limited permission to roll out FSD in the country, though despite this, its vehicles have been hailed as among the best in the market when it comes to autonomous features. So far, at least, it appears that China supports Tesla’s FSD and Robotaxi rollout.

This was hinted at in November, when Tesla brought the Cybercab to the 8th China International Import Expo (CIIE) in Shanghai, marking the first time that the autonomous two-seater was brought to the Asia-Pacific region. The vehicle, despite not having a release date in China, received a significant amount of interest among the event’s attendees. 

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