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Electric Slide

The pileup is shrinking

Stacked Teslas
Bronson Stamp

Tesla’s stockpiles seen from space are way smaller than they were a year ago. That isn’t necessarily a good thing

Tesla isn’t selling as many cars, but it also isn’t making as many.

Last year in March, Tesla had a production problem. It was producing way more vehicles than it was able to sell, and as a result, it was forced to stash that excess outside its factories, in parking lots, and at ports around the world.

As we noted then, there were so many extra Teslas that you could easily see how packed the parking lots were from space.

A year later, Tesla still produced more cars than it sold — sales saw a record drop last quarter — but the excess at least isn’t showing up as much outside its Giga Texas factory, where Tesla produces its top-selling Model Y and its much more difficult-to-sell Cybertruck.

The reason? Tesla has been making a lot fewer cars.

On the company’s last earnings call in January, Tesla CFO Vaibhav Taneja said its factories would begin producing the updated Model Y in January. The changeover, he said, would “result in several weeks of lost production” in Q1.

The slowing of Tesla’s production, however, predates the latest factory retooling. Since 2023, production has been declining, as the company faces weakened demand and growing competition. Tesla produced 4% fewer cars in 2024 than it did in 2023, despite CEO Elon Musk celebrating “record production” on the Q4 earnings call.

Meanwhile, Musk has attempted to pivot his car company into a much more lucrative AI and robotics business, leaving the car business in the lurch.

If Tesla had produced more cars, it likely wouldn’t have been able to sell them, since even price cuts and low interest rates weren’t enough to juice sales last quarter.

As a result of the production decline, the lots outside Tesla’s Texas factory aren’t nearly as full as they were when we looked last year. In the image below, you can drag the slider in the center to compare the difference between satellite images of the factory in March 2024 versus March 2025:

Sherwood News had satellite analysis company SkyFi use its software to detect passenger cars in Tesla’s numerous parking lots and estimate how full those lots were then and now. There has been some reordering of where cars are parked, but generally the lots are a lot less full these days.

Importantly, SkyFi’s tool doesn’t differentiate between Tesla and non-Tesla passenger cars, so it’s not possible to figure out from these aerial photos if these are production lots versus employee.

Tesla did not respond to a request for comment for this story.

From a closer visual inspection, as well as from videos Tesla posted to X showing the finished cars going from factory to lots, it appears that the lots to left of (31% full in 2025) and above (52% full) the central Tesla factory, which says Tesla in huge lettering on the roof, contain mostly production vehicles. About a third of the vehicles in the lot on the left appear to be Cybertrucks, which have been especially difficult for the EV company to sell.

A Cybertruck was recently spotted driving around Texas, acting as a mobile billboard for the new Model Y — one way to deal with excess inventory.

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Anthropic projections for 2028: Up to $70 billion in revenue, could be profitable by 2027

Anthropic’s Claude API business is doing so well with enterprise customers, the company is upping its revenue forecasts significantly. According to a report from The Information, the company’s robust corporate sales have caused it to revise its most optimistic forecast up to $70 billion in sales by 2028.

Anthropic estimates its API business will be double that of OpenAI’s API sales. OpenAI is currently burning through much more money per month than Anthropic, and reportedly expects to spend as much as $115 billion through 2029, while Anthropic is forecasting that it could be cash positive by 2027, per the report.

Anthropic estimates its API business will be double that of OpenAI’s API sales. OpenAI is currently burning through much more money per month than Anthropic, and reportedly expects to spend as much as $115 billion through 2029, while Anthropic is forecasting that it could be cash positive by 2027, per the report.

tech

Amazon, which is developing AI shopping agents, doesn’t want Perplexity’s AI shopping agents on its site

Amazon has sent a cease and desist letter to Perplexity AI, demanding that it stop letting its AI browser agent, Comet, make online purchases for users, Bloomberg reports.

Amazon, which is developing its own AI shopping agents and is having “conversations” with builders of third-party agents, accused the AI startup of “committing computer fraud by failing to disclose when its AI agent is shopping on a user’s behalf, in violation of Amazon’s terms of service.”

Perplexity, in response, said Amazon is attempting to “eliminate user rights” in order to sell more ads.

Amazon, which is developing its own AI shopping agents and is having “conversations” with builders of third-party agents, accused the AI startup of “committing computer fraud by failing to disclose when its AI agent is shopping on a user’s behalf, in violation of Amazon’s terms of service.”

Perplexity, in response, said Amazon is attempting to “eliminate user rights” in order to sell more ads.

tech

Apple to challenge Google Chromebooks with low-cost Mac laptop, Bloomberg reports

Apple is designing a new sub-$1,000 Mac laptop aimed at the education market, Bloomberg reports.

Google’s low-cost Chromebooks currently dominate the K-12 education market, and Apple’s reentry into the education market that it once owned could disrupt the sectors status quo.

According to the report, Apple plans on using the custom mobile chips it currently uses in iPhones to power the more affordable devices.

Apple’s recent earnings demonstrated that iPhone sales have been steady, and the tech giant is looking to find new areas of growth, like services. A low-cost Mac could be popular with consumers, in addition to education buyers.

According to the report, Apple plans on using the custom mobile chips it currently uses in iPhones to power the more affordable devices.

Apple’s recent earnings demonstrated that iPhone sales have been steady, and the tech giant is looking to find new areas of growth, like services. A low-cost Mac could be popular with consumers, in addition to education buyers.

tech

Getty Images suffers partial defeat in UK lawsuit against Stability AI

Stability AI, the creator of image generation tool Stable Diffusion, largely defended itself from a copyright violation lawsuit filed by Getty Images, which alleged the company illegally trained its AI models on Getty’s image library.

Lacking strong enough evidence, Getty dropped the part of the case alleging illegal training mid-trial, according to Reuters reporting.

Responding to the decision, Getty said in a press release:

“Today’s ruling confirms that Stable Diffusion’s inclusion of Getty Images’ trademarks in AI‑generated outputs infringed those trademarks. ... The ruling delivered another key finding; that, wherever the training and development did take place, Getty Images’ copyright‑protected works were used to train Stable Diffusion.”

Stability AI still faces a lawsuit from Getty in US courts, which remains ongoing.

A number of high-profile copyright cases are still working their way through the courts, as copyright holders seek to win strong protections for their works that were used to train AI models from a number of Big Tech companies.

Responding to the decision, Getty said in a press release:

“Today’s ruling confirms that Stable Diffusion’s inclusion of Getty Images’ trademarks in AI‑generated outputs infringed those trademarks. ... The ruling delivered another key finding; that, wherever the training and development did take place, Getty Images’ copyright‑protected works were used to train Stable Diffusion.”

Stability AI still faces a lawsuit from Getty in US courts, which remains ongoing.

A number of high-profile copyright cases are still working their way through the courts, as copyright holders seek to win strong protections for their works that were used to train AI models from a number of Big Tech companies.

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