(Kena Betancur/Getty Images)

Robotaxis are the new millennial lifestyle subsidy

Get ’em while they’re cheap.

4/20/26 11:34AM

The so-called millennial lifestyle subsidy — an era when (then) young people enjoyed cheap products and services thanks to deep-pocketed venture capitalists — came to a close at the start of the decade. Tech-adjacent services like Uber and Lyft, once priced below their true cost, became noticeably more expensive as the companies graduated from chasing customers to chasing profits.

Now, a different version of that subsidy may be emerging — and once again, it revolves around ride-hailing: robotaxis. Autonomous taxi services are popping up in cities across the country. The situation is most advanced in the Bay Area, where customers can currently choose between Google-owned Waymo, Tesla’s Robotaxi, and Amazon’s Zoox to get to where they’re going.

And the prices for these services can seem surprisingly cheap. On a recent trip to the Bay Area, Tesla Robotaxi rides were consistently cheaper than comparable trips on Uber. (As of now, the roughly 500 Tesla Robotaxis operating in the Bay Area all have safety monitors, since Tesla hasn’t gone through the hoops required for autonomous permitting, though the plan is eventually to remove them.) Waymos were moderately more expensive but not notably so when you consider the $75,000 Jaguar I-PACE you’re riding that’s toting around another $120,000 worth of added lidar and other gear. For now, Zoox is free.

(Millennial editor’s note: A millennial lifestyle subsidy can really be claimed by anyone of any generational cohort. “Millennial” is more a loss-leading state of mind at this point.)

Zoox margarita — Amazon’s Zoox looking a bit like a glass toaster (Rani Molla/Sherwood News)

“From a consumer point of view, it’s definitely the golden era of AV rides, very similar to like 10 years ago with Uber and Lyft,” Harry Campbell, founder of The Driverless Digest, told Sherwood News. “We don’t know what the true cost is, but you’re definitely getting a great deal on these rides.”

While the cost of AVs is expected to keep going down, he said current prices are probably lower than they should be.

“I kind of joke with my friends and say, ‘Take these rides while you can.’”

What should it cost to ride in a robotaxi?

Data from Morgan Stanley Research shows that the cost per mile for Waymo and Tesla Robotaxis is already cheaper than traditional ride-hailing costs.

For example, Morgan Stanley Research estimates that Waymos cost about $1.36 per mile to operate versus $0.74 for Tesla, when factoring in depreciation, cleaning, maintenance, charging, mobile operators, insurance, and parking. Meanwhile, new pricing data shared with Sherwood from ride-share comparison app Obi shows that Waymo is charging about $9.58 per mile while Tesla is charging $4.35. So it seems the companies are charging a premium over their costs.

However, Morgan Stanley’s calculations don’t include the roughly $30 an hour Tesla safety monitors are paid to sit in the driver’s seat, according to analyst Andrew Percoco, who explained that the data is meant to show the company costs once the autonomous ride-hailing services are actually autonomous.

“We don’t assume that someone sitting in the front seat is going to be the way that they scale this business,” Percoco told Sherwood.

Nor does the data take into consideration the substantial up-front costs required to build autonomous driving systems. There’s a reason why these projects are backed by some of the wealthiest companies in the world — Google, Tesla, Amazon — which can afford to burn some cash on their path to future profitability.

And finally, it feels like there should be a premium for riding not just in a new car, but in a glimpse of the future. You have Waymo’s very expensive lidar and radar sensors whirling atop the car. Robotaxis are modified 2026 Model Ys — much newer than something you’d get with Lyft. Zoox, a purpose-built AV that looks like a glass toaster on wheels, could be from another planet.

Also, you don’t have to tip a robot, which is a novelty in itself.

Side-by-side screenshots of what it’s like when you try and tip Tesla’s Robotaxi. — What it’s like when you try to tip on Tesla’s Robotaxi app

Obi CEO Ashwini Anburajan sees Tesla’s pricing as a version of the millennial subsidy in action.

“There was a generation like me that grew up on very, very cheap rides and has sticker shock every time we get in a car,” Anburajan said. “So it’s exciting to take a Tesla.”

She also thinks Tesla’s relatively low prices are a good move for Tesla, both in terms of data collection and branding.

“Right now it’s a smart play. If your cars are in demand, there are long wait times, there’s brand visibility, there’s brand loyalty, engagement, and excitement — that’s a playbook that’s been used by Uber and Lyft when they first came out and it worked. And people stuck with that brand, as it grew more expensive because they were reliant on the service,” she said.

Price per mile for Tesla’s Robotaxi jumped 34% in April compared with the end of 2025, per Obi data, after jumping 25% from the prior period.

But even with these recent price hikes, Anburajan thinks the relatively low-cost strategy will continue to pay off.

“People care about two things with ride-share: price and safety. And price comes first.”

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Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the FT.

Meta is planning on spending between $125 billion to $145 billion on AI capex this year alone.

Shares dropped more than 5% on the news.

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FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

US National Security Agency using Anthropic’s Mythos for cyber attacks

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Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Street’s most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to “neutral” from “underweight” and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

Looking past the car lot: Gupta argues that Tesla “is at the forefront of physical AI, entering uncharted TAMs” and therefore “deserves the benefit of the doubt to be valued on LT earnings potential” rather than near-term speed bumps.
Unmatched vertical integration: Tesla’s control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is “unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.”
The AWS flywheel effect: Deploying Optimus robots inside its own factories “should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.”

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

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