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Telsas in a parking lot in Brooklyn
(Spencer Platt/Getty Images)
Machine Learnings

Musk says every Tesla is “capable of being a robotaxi.” But a report says the robotaxis are getting special parts.

Robotaxi hardware upgrades pour some water on Musk’s assertion that every Tesla could be a robotaxi.

Rani Molla

Tesla CEO Elon Musk has repeatedly painted a future where all Teslas would be autonomous and revolutionize the economics of car ownership.

“In the future, most people are not going to buy cars,” he said on the company’s last earnings call. Instead, most people would utilize the Tesla Network, a ride-hailing service that would be made up of company-owned and personally owned vehicles. For those still bullish on buying, their Teslas would become income-generating assets that they lease out to the network when they’re not in use. That’s supposed to include current Tesla owners.

“The vast majority of the Tesla fleet that we’ve made is capable of being a robotaxi,” Musk said on the same call.

Ahead of the company’s tiny but mostly successful robotaxi launch over the weekend, Musk reiterated that the vehicles consumers are buying now, which make up the vast majority of its revenue, are the same ones that will be part of the autonomous ride-hailing future.

“These are unmodified Tesla cars coming straight from the factory, meaning that every Tesla coming out of our factories is capable of unsupervised self-driving!” The robotaxi software, he said, which allows for unsupervised driving, was a “branch” of existing consumer software that would be rolled out to everyone “soon.”

But yesterday, Business Insider reported that Tesla is working on hardware modifications to its Model Ys specifically for the robotaxi program. That includes adding self-cleaning and more durable cameras, as well as a second telecommunications unit to “provide GPS coordinates for the vehicle and allow it to connect with remote operators,” among other changes.

The move suggests the obvious: the needs of a commercial vehicle are more demanding than that of consumer products. They’re also likely more expensive.

Musk has repeatedly knocked Google’s Waymo, which has a much bigger market so far than Tesla’s robotaxi, as costing too much. Indeed, the promise that every Tesla could be a robotaxi is central to the company’s promise to scale the service rapidly.

Presumably the company’s forthcoming Cybercabs — which are supposedly going into “volume production” next year — could bridge the gap between what is acceptable for individuals versus individuals hoping to lease their cars to the Tesla Network, but the BI report pours water on the idea that any car can be a robotaxi.

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Tesla’s 45 Austin Robotaxis now have 14 crashes on the books since launching in June

Since launching in June 2025, Tesla’s 45 Austin Robotaxis have been involved in 14 crashes, per Electrek reporting citing National Highway Traffic Safety Administration data.

Electrek analysis found that the vehicles have traveled roughly 800,000 paid miles in that time period, amounting to a crash every 57,000 miles. According to the NHTSA, US drivers crash once every 500,000 miles on average.

The article says Tesla submitted five new crash reports in January of this year that happened in December and January. Electrek wrote:

“The new crashes include a collision with a fixed object at 17 mph while the vehicle was driving straight, a crash with a bus while the Tesla was stationary, a collision with a heavy truck at 4 mph, and two separate incidents where the Tesla backed into objects, one into a pole or tree at 1 mph and another into a fixed object at 2 mph.”

Tesla updated a previously reported crash that was originally filed as only having damaged property to include a passenger’s hospitalization.

Last month, Tesla shares climbed after CEO Elon Musk said in a post on X that the company’s Austin Robotaxis had begun operating without a safety monitor.

The article says Tesla submitted five new crash reports in January of this year that happened in December and January. Electrek wrote:

“The new crashes include a collision with a fixed object at 17 mph while the vehicle was driving straight, a crash with a bus while the Tesla was stationary, a collision with a heavy truck at 4 mph, and two separate incidents where the Tesla backed into objects, one into a pole or tree at 1 mph and another into a fixed object at 2 mph.”

Tesla updated a previously reported crash that was originally filed as only having damaged property to include a passenger’s hospitalization.

Last month, Tesla shares climbed after CEO Elon Musk said in a post on X that the company’s Austin Robotaxis had begun operating without a safety monitor.

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Jon Keegan

Ahead of IPO, Anthropic adds veteran executive and former Trump administration official to board

Anthropic is moving to put the pieces in place for a successful IPO this year.

Today, the company announced that Chris Liddel would join its board of directors.

Liddel is an seasoned executive who previously served as CFO for Microsoft, GM, and International Paper.

Liddel also comes with experience in government, having served as the deputy White House chief of staff during the first Trump administration.

Ties to the Trump world could be helpful for Anthropic as it pushes to enter the public market. Its reportedly not on the greatest terms with the current administration, as the startup has pushed back on using its Claude AI for surveillance applications.

Liddel is an seasoned executive who previously served as CFO for Microsoft, GM, and International Paper.

Liddel also comes with experience in government, having served as the deputy White House chief of staff during the first Trump administration.

Ties to the Trump world could be helpful for Anthropic as it pushes to enter the public market. Its reportedly not on the greatest terms with the current administration, as the startup has pushed back on using its Claude AI for surveillance applications.

tech
Rani Molla

Meta is bringing back facial recognition for its smart glasses

Meta is reviving its highly controversial facial recognition efforts, with plans to incorporate the tech into its smart glasses as soon as this year, The New York Times reports.

In 2021, around the time Facebook rebranded as Meta, the company shut down the facial recognition software it had used to tag people in photos, saying it needed to “find the right balance.”

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

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