Stripe confirmed on Wednesday that it was buying OpenRouter. While the company didn’t disclose the deal price, sources told the New York Times that it paid $7.5 billion.

That’s a huge step up from OpenRouter’s $1.3 billion valuation in May. To put that price in context, the founders alone will reportedly receive $1.5 billion from the sale — more than the startup’s entire valuation just three months ago. Investors will get the remaining $6 billion, according to the NYT. Stripe reportedly had to outbid others interested in the fast-growing startup, including Databricks.

But the question is: what does a payments giant want with a startup that routes prompts between different AI models?

The short and funny answer, according to a leaked letter from Stripe’s founders to its investors about the deal, is: the singularity.

“It’s a fuzzy and perhaps already overworked term but we decided that January 1 marked the beginning of the singularity and we’ve been operating on that basis,” they wrote in the letter, published by Eric Newcomer, and verified by TechCrunch.

The singularity is supposed to mean the point at which humans and the tech we’ve created merge to become a new species. This is obviously a tongue-and-cheek reference (as Patrick Collison admitted when using the term it at his company’s conference in April). We’re fairly certain Stripe’s founders, the brothers Patrick and John Collison, don’t think humanity started turning into The Borg eight months ago.

But they have referred to the economic uptick that AI is bringing to Stripe. With AI, more companies are being launched and more of them are using Stripe’s offerings. Stripe says that 88% of the Forbes AI 50 are using its products, including OpenAI and Anthropic, as do 100% of Brex’s fastest-growing startups. No one knows how AI and agents will change the economy of the future, but everyone is certain it will change it dramatically.

That still doesn’t explain why Stripe wants a company mostly known for helping developers manage their model usage. Stripe’s founders acknowledged that their customer bases overlap.

“OpenRouter is exceptionally useful for any developer and Stripe is one of the world’s largest developer platforms,” the founders write in their letter. No doubt that just using OpenRouter internally will probably offer significant benefits to Stripe and make it easier to roll out future model-agnostic agentic offerings, too.

It seems as if OpenRouter will continue to operate independently after the deal closes in a few weeks, or so the startup promised in its own blog post, saying that its “product, mission, and current commitments remain unchanged.”

Still, until now, most of Stripe’s large acquisitions have been related to helping people collect and manage incoming cash. Buying OpenRouter looks like a move to other side of the ledger, too: expense management, beginning with AI expenses.

This acquisition “is Stripe’s deliberate attempt to embed itself into the middle of capital flows in the AI era,” said PitchBook’s research analyst Franco Granda.

It’s joining an unusual assortment of companies also entering token expense management. Databricks developed its own AI gateway. Rippling just launched one focused on employee AI spend and ROI. Ramp just launched one, also for AI expense management. And the list goes on.

For Stripe, buying the granddaddy of popular AI gateways for developers gives it insight into how coders are using AI. But it also gains a lever on AI demand itself. OpenRouter will grant it “some degree of power over suppliers such as the frontier labs themselves, as well as hyperscalers and neoclouds,” Granda said.

It may not be the Borg, but payments plus token expense management and a model router? That’s a lot of power.

Spotify is finally giving listeners an answer to the question every playlist has silently left hanging: Why is this song here?

The company has launched Playlist Notes, a feature that lets listeners add short explanations to songs, podcast episodes, and audiobooks in playlists they create or manage.

The move adds a human layer to a service that increasingly relies on algorithms and AI to help people discover content. Instead of a playlist being only a sequence of recommendations, Spotify now wants some of those selections to come with the story, memory, or reasoning behind them.

Spotify has been steadily pushing AI deeper into discovery. Its Prompted Playlist lets users describe what they want in natural language, and the platform’s embedded AI turns that prompt into a collection of music.

Playlist Notes takes the opposite approach. Prompted Playlist uses AI to help decide what belongs in a playlist; Notes lets people explain in their own words why a particular song, podcast, or audiobook made the cut.

In April, Spotify introduced its Verified by Spotify badge to help listeners identify authentic artist profiles, and just last week it announced AI Persona badges for profiles representing AI-generated identities.

Starting in September, those profiles will also be excluded from Spotify’s editorial and algorithmic recommendations by default. Against that backdrop, Playlist Notes feels less like a minor playlist feature and more like another way for Spotify to keep human identity and judgment visible on a platform becoming increasingly shaped by AI.

How Spotify playlist notes work

For a playlist that you created or help manage:

1. Open the playlist.
2. Find the song, podcast episode, or audiobook.
3. Tap the three-dot menu beside the item.
4. Select Add note.
5. Write the note.
6. Save it.

TechRadar reports a 250-character limit for these notes.

According to TechCrunch, user-created Playlist Notes will roll out to iOS and Android users in more than 100 markets. Spotify’s separate Editor Notes feature will have a narrower launch, reaching free and Premium users aged 16 and older in the U.S., U.K., Canada, Australia, Ireland, and New Zealand.

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What this means for users

For Spotify users, Playlist Notes adds a simple way to make playlists feel more personal.

Instead of handing someone a list of songs with no explanation, users can now add the memories, recommendations, or reasons that make those selections meaningful, turning a playlist into something closer to a shared story.

The feature could also prompt other streaming platforms to follow suit. If this feature catches on, competitors such as Apple Music and YouTube Music could eventually explore similar features, especially as users increasingly demand that music platforms retain their human authenticity.

For Spotify, Playlist Notes is a relatively small feature with a bigger purpose. As algorithms and AI play a larger role in deciding what users hear, the notes give listeners and editors a simple way to show where human taste, memory, and judgment still enter the mix.

Other News: Samsung may be preparing Galaxy H1, a new pair of full-size wireless headphones that could expand its Galaxy audio lineup beyond earbuds, according to clues found in the Galaxy Wearable app.

Waymo has opened its next-generation robotaxi to all riders in Los Angeles, Phoenix, and San Francisco — a notable milestone for the Alphabet company as it pushes to expand its fleet with vehicles that are cheaper to build, operate, and maintain.

For now, customers in these markets may be matched with the new robotaxi, called the Ojai (pronounced oh-hi) when they hail a ride. Once Waymo has enough Ojais in its fleet, riders will be able to choose between the new vehicle and the older Jaguar I-Pace robotaxi. Waymo has about 300 Ojai robotaxis in its commercial fleet today, according to a company spokesperson.

The company said Wednesday that it plans to roll out the Ojai in Denver, Las Vegas, and San Diego later this year.

For years, Waymo has relied on the all-electric, modified Jaguar I-Pace for its robotaxi fleet, which now operates in 11 U.S. cities today. While the white, sensor-laden autonomous hatchback has become ubiquitous in markets such as San Francisco, it has been more of a stopgap in Waymo’s longer term push towards mass scale, and eventually, profitability.

The Waymo Ojai robotaxi is meant to deliver on that ambition. The Ojai is equipped with Waymo’s sixth-generation self-driving system, which is critical to the company’s commercial strategy because it’s modular and designed to work across multiple vehicles types. The robotaxi also comes with a redesigned user interface and Google’s Gemini AI, which acts as an in-car assistant for riders.

Strip away that technology, though, and the Ojai is a minivan made by Zeekr, a brand owned by China’s Geely Holding Group. Waymo partnered with Zeekr in 2021 and has spent years testing a prototype, and later a production-intent version of the vehicle. It’s built on Zeekr’s SEA-M platform, an updated version of the automaker’s “Sustainable Experience Architecture,” which the company designed for vehicles like robotaxis and delivery vans. The goal was to create a robotaxi that was attractive and easy for riders to access, but also cheap to build and maintain and durable enough to withstand near-constant use.

The Ojai delivers on many of those goals, though tariffs on the imported vehicles have added cost. Under current U.S. trade policy, vehicles built in China face steep import tariffs, which raises Waymo’s costs for every Ojai it brings into the country. The base Zeekr vehicles ship without any Chinese connected-car technology on board. After arriving in the U.S., they’re sent to Waymo’s Arizona factory, where they are outfitted with the self-driving system.

New York-based research firm MoffettNathanson, which tracks Ojai imports by examining detailed receipts of shipped goods, said Waymo is on pace to bring 5,000 Ojai vehicles to the United States by the end of 2026. That would be more than double Waymo’s current Jaguar fleet, according to the firm. In July alone, 725 Ojai vehicles entered the country, underscoring the scale and pace of Waymo’s expansion efforts.