Tech
The price gap between Waymo and Uber is narrowing
A trip in a Waymo robotaxi still costs more, on average, than a comparable ride in a human-driven Uber or a Lyft. But that gap is narrowing, according to new data published Tuesday by Obi, a company that aggregates real-time pricing and pickup times across multiple ride-hailing services.
Two factors, working together, are behind the change. Waymo has lowered its pricing, at least in the San Francisco Bay Area where the data was pulled, while traditional ride-hailing rides on the Uber and Lyft networks have risen, according to Obi.
The new data was collected between November 27 and January 1, with Obi simulating more than 94,000 ride requests in the Bay Area. The company found that Waymo rides cost an average of $19.69, while Uber rides were slightly cheaper at $17.47. Lyft rides across the same period averaged $15.47.
In June, Obi released its first report analyzing robotaxi versus ride-hailing data. The data, which was taken from rides in April 2025, showed Waymo rides averaged $20.43, Uber landed at $15.58, and Lyft rides evened out at $14.44. Compared to these figures, Waymo’s average cost has dropped 3.62%, while Uber’s went up 12%, and Lyft’s climbed 7%.
Obi CEO Ashwini Anburajan told TechCrunch she believes this is a trend to watch because, while last April’s data implied customers were willing to pay a higher price to ride in a Waymo, the “novelty is wearing off for people in the Bay Area.” That means Waymo will likely keep having to price its offering more competitively, she said.
The wild card: Tesla
The wild card in Obi’s new report is that it collected data on Tesla’s burgeoning robotaxi service, which appears to be far cheaper than these other three offerings. But there are a number of important caveats.
For one, Tesla isn’t technically operating a robotaxi service in the San Francisco area, where the data was sampled. Tesla doesn’t have the permits required to operate a driverless commercial robotaxi service in the state. Nor does it have a transportation network company permit like Uber or Lyft. Instead, Tesla has a transportation charter permit from the California Public Utilities Commission, which means the company uses employees to drive the company’s vehicles equipped with its Full Self-Driving software.
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Tesla’s Bay Area fleet is also modest. Crowdsourced data from the website Robotaxi Tracker has helped log around 168 vehicles in Tesla’s ride-hail fleet, though not all of those cars are active all the time. (Obi notes in the report that only 156 were spotted by the crowdsourced website at the time the company ran its data sampling.)
That smaller fleet has driven by wait times. Of the four services surveyed, Tesla had the longest wait time with an average ETA of 15.32 minutes. Waymo’s average wait time was 5.74 minutes (up from 4.28 minutes last April), while Lyft and Uber came in at 5.14 minutes and 3.15 minutes, respectively.
These inputs — fleet size, human drivers, wait times — could have affected how Tesla prices rides at true scale, and it’s hard to say when and how that might happen. Tesla only just recently pulled safety monitors out of a handful of cars in Austin, Texas.
If Tesla can scale its robotaxis — which rely on camera inputs alone — the company should theoretically be able to price rides lower than competitors like Waymo, which integrates its self-driving software into modified vehicles equipped with several different kinds of sensors.
Popularity contest
Anburajan thinks there’s value in Tesla operating a ride-hailing service, ahead of any attempt at operating true robotaxis.
“It’s not really an autonomous vehicle at the moment. It has a safety driver in it. They’re building brand familiarity. They’re building brand preference for people that already like Teslas and people who are inclined to like Tesla,” she said.
There’s some evidence of this in the report Obi released Tuesday.
Along with the ride requests sampled in the Bay Area, Obi surveyed 2,000 people in California, Nevada, Arizona, and Texas on a number of issues related to robotaxis and ride-hailing. Over half of those respondents who had taken an autonomous vehicle ride said they’d ridden in a Tesla robotaxi. And when asked which autonomous brand they preferred the most, respondents chose Tesla 31% of the time.
Waymo was still the most preferred, with 39.8% of respondents choosing the Alphabet-owned brand. But this strong preference for Tesla, despite the company not operating a real robotaxi service at any scale yet, hints at future demand.
That strong preference for Tesla is also being driven in large part by a particular group: men. Women who were surveyed by Obi were essentially evenly split when it comes to choosing Waymo or Tesla, with Zoox a distant third at 8%. But 56% of men surveyed preferred Tesla to Waymo (25%) or Zoox (7%).
What’s next?
Obi’s report offers a good baseline ahead of a year that’s sure to see many developments in the world of autonomous vehicles. Waymo is rapidly expanding into new cities, even partnering with Uber and Lyft in some of them. Those ride-hail companies are bringing many other autonomous vehicle partners onto their platforms, too. And Tesla will likely look to prove its robotaxi approach works in order to expand its nascent offering.
Waymo is also about to start offering rides in a new van-like vehicle that it is building with Chinese company Zeekr. That vehicle, known as Ojai, is expected to have a lower up-front cost for Waymo and could allow the company to get more aggressive on pricing.
One thing is clear to Anburajan, though: Real competition is coming. Other companies are preparing to launch their own robotaxi services. Nuro is supplying its self-driving system to modified Lucid Gravity vehicles as part of a premium robotaxi network that will be operated by Uber. Hyundai-backed Motional has rebooted its efforts and plans to launch a commercial robotaxi service in Las Vegas before the end of the year. And other companies like Avride have partnered with Uber to bring robotaxis to other U.S. cities.
“It’s still very early in the game, so no one’s a late entrant, right?” she said. “We’re in this new era, so who’s gonna capture market share and move fast to win consumers over?”
Tech
Marc Lore says that AI will soon enable anyone open a restaurant
Marc Lore, the veteran e-commerce entrepreneur who sold his previous startups to Amazon and Walmart, has big plans to infuse AI into his current venture, Wonder.
The centerpiece of those plans is Wonder Create, an initiative that would let anyone — from food entrepreneurs to social media influencers — use AI to design and launch their own restaurant brand in under a minute. The virtual restaurant would then go live across Wonder’s growing network of tech-enabled kitchen locations, currently numbering 120 and expected to reach 400 next year.
Lore’s startup, a vertically integrated dining and delivery platform, has evolved from food trucks to fast casual restaurants with 10 to 20 seats. These are not normal restaurants, though; they are “programmable cooking platforms” capable of operating as 25 different types of restaurants based on cuisine, within their all-electric kitchens that are increasingly becoming robotic.
Speaking at The Wall Street Journal’s “Future of Everything” conference this week, Lore said these kitchens have a 700-ingredient library. The “restaurants” they house actually consist of many different brands that operate from within these locations.
In addition to a staff of up to 12 people in these kitchens, cooking tech, like conveyors and robotic arms, are involved in the cooking process. The company also just bought Spice Robotics, a maker of an automatic bowl-making machine previously used by Sweetgreen. Next year, it plans to offer an “infinite sauce machine” that can make bout 80% of all the sauces found in recipes on the internet today.
Wonder Create was announced earlier this year as a way for anyone to use Wonder’s software to launch their own restaurant brand and recipes.
Lore offered more details as how this would work by leveraging AI technology, describing the plan as something like a “Shopify front-end with an AI prompt.”
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“You type in what kind of restaurant you want to build. It builds the restaurant — AI does — in under a minute. It does the name, branding, description, pictures, pricing, health information, and all the recipes for your restaurant,” Lore explained during an interview at the WSJ event. The would-be restaurateur could then refine the prompt if changes were needed. When ready to go live, the restaurant would launch across all of Wonder’s locations.
The company currently has 120 of these “programmable cooking platforms” in operation, a number that’s expected to grow to 400 next year. As it adds robotics to the equation, the company won’t necessarily reduce headcount, Lore noted. Instead, it will increase the number of meals a kitchen can produce in a given period.
“We have about 7 million throughput capacity with 12 people,” he said. “We see a path to getting to 20 million throughput out of 2,500 square feet with just 12 people. The goal also is…I guess by 2035, to have 1,000 unique restaurants operating out of the 2,500 square feet,” Lore added.
The goal with these AI-created “restaurants” is to allow people to experiment with food in new ways. A restaurateur could test recipes to gauge customer reaction before adding dishes to his own brick-and-mortar locations, for example.
Lore sees other use cases for the platform, too, like letting influencers connect with their audience through their own “restaurant” brands without having to actually launch their own chains.
“It could be a mega-influencer, a micro-influencer — anyone that wants to monetize their following,” Lore said. “Or it could be a private trainer that wants to make specific bowls. It could be a not-for-profit. It could be Disney for [marketing] their new movie. Anybody can make a restaurant.”
Whether that many people actually want to is an open question. Ghost kitchens — a similar concept that promised to let brands sell food without owning a restaurant — had a rocky run in the early 2020s, with several high-profile operators scaling back or shutting down after struggling to build customer loyalty. Wonder’s added layer of automation and AI may address some of those pitfalls, but the model is still unproven at scale.
MrBeast Burger, a famous ghost kitchen experiments, vividly illustrated the challenge. The brand faced widespread complaints over inconsistent food quality — a consequence of relying on dozens of different contracted kitchens and staff. Wonder’s programmable, increasingly automated kitchens are designed to solve exactly that problem.
There are still limits to this idea, Lore admitted. Wonder’s team (including its robots) can’t do things like toss and stretch pizza dough or slice and roll sushi. Instead, Wonder’s focus is on simpler basics like burgers, chicken wings, fried chicken, and bowls.
The whole plan comes together with Lore’s other acquisitions — Grubhub for its 250 million-deliveries-per-year business and Blue Apron for its meal kit business. Now, Wonder is focused on buying restaurant brands, like New York City-based Blue Ribbon Fried Chicken, which it snapped up for $6.5 million in February.
“When you buy a brand — and you can buy a brand that has 10 locations, or even 50 locations — and then overnight put it in 1,000, there’s just an incredible arbitrage there,” Lore noted.
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Tech
Peter Sarlin’s QuTwo reaches $380M valuation in angel round
QuTwo, the Finnish AI lab founded by former AMD Silo AI CEO Peter Sarlin, is now valued at €325 million (approximately $380 million) after raising a €25 million angel round ($29 million). It’s a sign of enduring tailwinds for AI, quantum computing, and sovereign tech, especially for Europe-made companies.
QuTwo’s name is a nod to quantum computing, but it hasn’t gone all-in on quantum. Its core product, QuTwo OS, is an orchestration layer that directs tasks to classical, quantum or hybrid architectures — with the idea that enterprise use cases are often best served by “quantum-inspired” computing, which uses classical chips to simulate quantum behavior on more reliable hardware.
Enterprise AI will be QuTwo’s bread and butter. The company already secured some $23 million in committed revenue thanks to design partnerships with the likes of retail giant Zalando, for which it helped develop AI assistants. “AI is the North Star that we will continue to aim for. Quantum is just a new type of compute,” said Sarlin, who is adamant that QuTwo is an AI company.
Momentum has been building around Europe-based AI labs, and several of them have become overnight unicorns. Just last week, former DeepMind researcher David Silver secured $1.1 billion for his new endeavor, Ineffable Intelligence. QuTwo’s valuation and round size are somewhat modest in comparison but will let it pursue its roadmap under less pressure.
According to Sarlin, who serves as QuTwo’s executive chairman, this was a decision he also made for his previous company, Silo AI, which AMD acquired for $665 million in 2024. “I had a lot of investors who would have wanted to pour a lot of money into making Silo into Europe’s OpenAI, but I didn’t believe in that play,” he told TechCrunch.
The main difference is that QuTwo wants the freedom to think long term, with a five- to ten-year horizon. “We are on a mission to build the globally leading AI company for the next paradigm, given that Europe did not succeed in building the AI company for this era,” Sarlin said.
It’s not that Sarlin is bearish on European AI, of which he is a prolific backer. Nor is he necessarily critical of extra-large rounds — he volunteered that he is also an investor in Yann LeCun’s Ami Labs, which raised $1.03 billion, and in British-American venture Recursive Superintelligence, which is rumored to be following the same path. But he didn’t see a billion-dollar round as the right fit for QuTwo — nor VC money, at least for now.
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Until recently, QuTwo was solely funded through Sarlin’s family office, PostScriptum, which also incubated NestAI, the other company where he serves as executive chairman. But whereas NestAI raised some $115 million in a funding round led by Finland’s sovereign fund and Nokia, QuTwo wasn’t seeking to raise external funding.
However, when the lab’s soft launch generated significant interest earlier this year, Sarlin decided he would say no to checks from VCs and strategic investors, but yes to an angel round in part due to the geopolitical moment Europe is currently navigating.
With Europe increasingly looking to favor local alternatives to U.S. tech providers, there are tailwinds for AI made in Finland. But there is also investor appetite for a company that promises to facilitate more ambitious R&D initiatives in the fields where the region already has strong players, such as the automotive, life sciences and gaming sectors.
Conversely, Sarlin expects that QuTwo’s angel investors could open doors across Europe. There are definitely quite a few introductions he could request from this group, which includes Yuri Milner, Xavier Niel, Nico Rosberg, Dieter Schwarz and Niklas Zennström, and as well as many startup founders from Hugging Space, Legora, Miro, Skype, Supercell, Wolt, and more.
This will also support QuTwo’s growth. It recently expanded into Sweden, and has been hiring. According to Sarlin, some 50 quantum and AI scientists have joined the team, which includes two other second-time entrepreneurs: his former cofounder at Silo, Kaj-Mikael Björk; and Kuan Yen Tan, a cofounder at IQM, the Finnish quantum company that is set to go public.
QuTwo’s connection with IQM is also a reminder that the company believes we are about to enter the quantum era — it just can’t wait. “The question for repeat founders like [us] is how can we have even a larger impact. In the long term, it’s important for Europe that we build the AI company for the next paradigm out of Europe. But, in the short term, we can have a significant impact in driving ambitious R&D moon shots in Europe,” Sarlin said.
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Tech
reMarkable’s new Paper Pure tablet goes back to basics with a monochrome screen
After exploring the bigger market for productivity tablets featuring color displays with the Paper Pro and the smaller Paper Pro Move, E Ink tablet maker reMarkable is returning to its roots with a new monochrome device called the Paper Pure.
The new, $399 Paper Pure succeeds the monochrome reMarkable 2 after six years, and comes with more powerful hardware as well as modern software features that make it competitive in today’s tablet market.
The Paper Pure has a 10.3-inch display when measured diagonally, the same as the reMarkable 2, but the new one is wider, which, the company says, makes it easier to take notes and read text. Notably, the resolution hasn’t changed between the two tablets, staying at 1872 x 1404 pixels with a pixel density of 226 PPI.
The tablet also comes with 32GB of storage, four times the amount you got on its predecessor, and is also about 40 grams lighter, weighing 360 grams.

ReMarkable said the Paper Pure is 50% more responsive than the reMarkable 2, and offers 30% more battery life with its 3,820 mAh battery.
The company has added a slew of new features to the tablet to bring it up to par with modern productivity tools, including support for a web app. The Paper Pure lets you sync your calendar, as well as take and share notes for a particular meeting. And if you import documents from cloud storage services, the online sync service will automatically convert them into a notebook suited for reading and annotating on the tablet itself. The company said it also comes with better handwriting search capabilities.
The Paper Pure integrates with Slack, too, so you can convert handwritten notes into typed text that you can share. It also integrates with collaboration tool Miro, letting you share sketches and the like.
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The Norwegian company said it now plans to sunset production of the reMarkable 2, but will still offer software updates and support to existing customers.
The Paper Pure’s base model comes bundled with a stylus, and the costlier $449 version gets you a fancier stylus, dubbed Marker Plus, that includes an eraser function, plus a sleeve folio in various colors. Users can order the device starting today, and shipping is expected to start in early June.
The company said it has sold more than 3.5 million devices so far, and that it has 1.2 million subscribers for its Connect service, which offers unlimited cloud storage, exclusive templates, and the ability to create links to share notes or sketches.
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