A driverless Tesla robotaxi and a Waymo autonomous vehicle make their way through roadwork on a residential street in Austin (Jay Janner/Getty Images)

Google’s Waymo now has 2,000 autonomous cars in service, while Tesla has about 30

Waymo has added more than 500 self-driving cars to its fleet in the past three months.

Rani Molla

9/2/25 2:59PM

Last week Tesla’s robotaxi service announced that it increased its coverage area in Austin to 173 square miles from 91 (the map of the coverage area is no longer penis-shaped) and increased the number of cars available by 50%. Of course, Tesla never confirmed the original number of cars it was operating in Austin, but had somewhere between 10 and 20. We’ll say 50% more is 30, to be generous.

Meanwhile, Google’s Waymo shared with Sherwood News that its self-driving robotaxi fleet now counts more than 2,000 vehicles across 665 square miles in five major markets. That includes more than 100 vehicles in Austin and more than 800 in San Francisco. Nationwide, it’s added about 500 more vehicles since we last reported in June on the company’s expansion to Atlanta, where it now says it has “dozens” of vehicles in operation.

In Austin, where both Waymo and Tesla operate, Tesla has about double the coverage area, but a third of the cars that Waymo has.

Austin is the only market where Tesla operates its car service autonomously (though the program still has human safety monitors sitting in the passenger seat) and it’s still only available to select invitees, though CEO Elon Musk said last month, without providing specifics, that the program “will be open access” in September.

Musk stated earlier this year that there would be “millions of Teslas operating autonomously” by the end of 2026, growth that is crucial to the company’s evolving value proposition.

Here’s how Waymo and Tesla’s autonomous vehicle services compare as of early September:

Jon Keegan10/17/25

Google’s Gemini 3.0 reportedly due to be released in December

Google is aiming to release the latest version of its flagship AI model, Gemini 3.0, in December, according to a report from Sources.news.

The updated model is expected to make significant gains that should boost it to the top of the leaderboards, according to the report.

The Gemini app also spent some time at the top of the iOS App Store leaderboards, propelled by Google’s Nano Banana image generation model, which proved popular with users looking to turn themselves into action figures. Gemini briefly knocked ChatGPT from the top spot, which is now occupied by OpenAI’s other hot app, Sora.

Recently, there have been signs of ChatGPT downloads slowing, which could provide an opening for Gemini to gain market share. Adding some premium Gemini features to the free tier is a plan under discussion within Google, per Sources.news.

Sources.news also reports that a “small, secretive team” inside Google is working to integrate Gemini into Apple’s operating systems.

Google readies Gemini 3, Perplexity hits its goal

Sources.news also reports that a “small, secretive team” inside Google is working to integrate Gemini into Apple’s operating systems.

Jon Keegan10/17/25

Meta strikes $30 billion deal with Blue Owl to finance Hyperion data center

Meta’s Hyperion mega data center site in Richland Parish, Louisiana, is currently under construction. The city-sized development will be the home to one of the largest data centers in the world, housing around 2 million pricey GPUs, and will scale up to an eventual 5.5 gigawatts.

So, how is Meta planning to pay for this expensive project?

Bloomberg reports that Meta has signed a deal with asset management company Blue Owl Capital to finance $30 billion to pay for the project, marking what could be the largest private capital deal ever.

According to the report, Blue Owl and Meta would co-own the site, with Meta retaining a 20% stake in the project. PIMCO is also part of the financing for the deal, as the anchor lender.

Raising the massive capital to fund all of these huge AI data center projects is pushing companies to use unusual financing arrangements. The Information reported that xAI made such a deal with Valor Equity Partners worth $20 billion to rent the GPUs needed for its Colossus 2 data center.

Blue Owl Seals Largest Private Capital Deal for Meta’s AI Growth

According to the report, Blue Owl and Meta would co-own the site, with Meta retaining a 20% stake in the project. PIMCO is also part of the financing for the deal, as the anchor lender.

Rani Molla10/17/25

EssilorLuxottica surges to record high after saying Ray-Ban Meta glasses helped boost revenue growth

European eyewear company EssilorLuxottica said during its earnings call yesterday that its Ray-Ban Meta glasses helped boost its revenue growth, something that’s sent the ADR up to a record high.

“Clearly, there is a lift coming from Ray-Ban Meta wearables as a product category,” the company’s CFO, Stefano Grassi, said on the call Thursday. “The contribution from Ray-Ban Meta in wearables, as I mentioned before, is in excess of 4 percentage points overall for the group.”

EssilorLuxottica’s revenue was up 11.7% in the third quarter compared with a year ago.

Meta has a nearly 3% stake in the eyewear company, which it has partnered with on the smart glasses. Meta CEO Mark Zuckerberg has also claimed that its Ray-Ban Metas are a hit, saying that the “sales trajectory that we’ve seen is similar to some of the most popular consumer electronics of all time.” We looked at the numbers and aren’t so sure.

Tom Jones

ARR you watching?

10/17/25

The revenue race between Anthropic and OpenAI is getting more heated

Hey Claude, when do you think you’ll start making more money than ChatGPT?

44%

Matt Phillips10/16/25

JPMorgan economists estimate that the basket of stocks they use as a rough gauge of AI’s market impact is now worth about 44% of the S&P 500’s total market cap, up from 26% in 2022.

Using a basket of 30 AI stocks picked by the bank’s equity analysts as a barometer of AI, the economists find that American households have seen their aggregate wealth go up by about $5 trillion over the last year as a result of AI, they reported in a note published Thursday.

They also estimate the surge in stock market wealth could raise annualized US consumer spending by some $180 billion, due to wealth effects.

JPM acknowledges some uncertainty around this estimate, noting that the spending impact could be lower “if the wealth gains are accruing disproportionately to upper income households with lower [marginal propensity to spend].”