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A Tesla logo outside the company’s Tilburg Factory and Delivery Center.

Karol Serewis | Getty Images

Tesla CEO Elon Musk said the automaker completed its first driverless delivery of a new car to a customer, routing a Model Y SUV from the company’s Austin, Texas, Gigafactory to an apartment building in the area on June 27.

The Tesla account on social network X, which is also owned by Musk, shared a video overnight showing the Model Y traversing public roads in Austin, including highways, with no human in the driver’s seat or front passenger seat of the car.

Tesla did not say which version of its software and hardware had been installed and used in the car shown in the clip — or if and when that technology would be commercially available to its customers.

A Model Y owners’ manual, available on the Tesla website, says that in order to use Tesla’s Full Self-Driving (Supervised) option — which is the company’s most advanced, partially automated driving system available today — owners must keep their hands on the wheel, and remain ready to take over steering or braking at any time.

The vehicle in Tesla’s video was shown operating without a driver on the highway, passing through residential streets and around parking lots before arriving and stopping for a handoff to a customer. The buyer was waiting by the curb at an apartment building alongside Tesla employees, some sporting logo-emblazoned shirts. (The curb was painted red, indicating it is a no-stop fire lane.)

In 2016, Tesla shared an Autopilot video — known as the “Paint It Black” video — that had been staged in a manner which exaggerated its cars self-driving capabilities, depositions later revealed.

The National Highway Traffic Safety Administration (NHTSA) is investigating Tesla over possible safety defects in their FSD systems, and recently sought more information from the company about its robotaxi debut after its cars were seen violating some traffic rules. 

In posts on X on Friday, Musk wrote: “The first fully autonomous delivery of a Tesla Model Y from factory to a customer home across town, including highways, was just completed a day ahead of schedule!! Congratulations to the @Tesla_AI teams, both software & AI chip design!”

He also wrote, “There were no people in the car at all and no remote operators in control at any point. FULLY autonomous! To the best of our knowledge, this is the first fully autonomous drive with no people in the car or remotely operating the car on a public highway.”

Musk’s claim about the “first fully autonomous drive” on a public highway was not accurate. Alphabet-owned Waymo, which is already operating commercial robotaxi services across multiple U.S. cities, has been offering employees fully autonomous rides on Phoenix freeways since 2024, and has since expanded those rides to Los Angeles and San Francisco.

Head of AI at Tesla, Ashok Elluswamy, said in posts on X that the automaker “literally chose a random customer who ordered a Model Y in the Austin area” to participate. He also said the vehicle delivered is “exactly the same as every Model Y produced in the Tesla factory.”

Elluswamy also noted in a post on X that the Model Y in the driverless delivery traveled at a “max speed of 72 mph.” Most highways in Texas have a maximum speed limit of 70 miles per hour, according to the Texas Department of Transportation website.

We went to Texas for Tesla's robotaxi launch. Here's what we saw

Separately, Tesla began a robotaxi pilot program in Austin last weekend involving 10 to 20 of its Model Y SUVs equipped with technology, about which Tesla has revealed little to the public.

The Tesla robotaxi service is available only to select, invited riders who have mostly been influencers and analysts, many of whom generate income by posting Tesla-fan content on platforms like X and YouTube. The Tesla robotaxi vehicles run with a human safety supervisor on board in the front passenger seat, and are remotely supervised by employees in an operations center.

Since 2016, Musk has been promising that Tesla would soon be able to turn all of its existing EVs into fully autonomous vehicles with a simple, over-the-air software update. In his Master Plan, Part Deux, he outlined a future where every Tesla owner would be able to add their car to a “Tesla shared fleet just by tapping a button on the Tesla phone app,” enabling their car to generate income for them while they sleep.

In 2019, Musk said Tesla would have 1 million robotaxis on the road by 2020 — a claim that helped him raise $2 billion at the time from institutional investors.

While Tesla has not fulfilled those promises thus far, the driverless delivery in Texas this week has elicited excitement among believers in Musk and his vision.

Meanwhile, Tesla is battling a brand backlash in response to the CEO’s often incendiary political rhetoric, his endorsements of Germany’s far-right extremist party AfD, and his work for the Trump administration.

Tesla sales have declined year-over-year in key markets, especially throughout Europe, in the first five months of 2025 partly as a result of that backlash. The company is also facing increased competition from EV makers, particularly Chinese brands such as BYD, Nio and Xiaomi, offering more affordable and newer models.

Tesla is expected to disclose its second-quarter vehicle production and delivery numbers on July 2.

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These underperforming groups may deliver AI-electric appeal. Here’s why.

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These underperforming groups may deliver AI-electric appeal. Here's why.

Reshoring and infrastructure products could be the next ETF play after AI, say ETF experts

Industrial and infrastructure stocks may soon share the spotlight with the artificial intelligence trade.

According to ETF Action’s Mike Atkins, there’s a bullish setup taking shape due to both policy and consumer trends. His prediction comes during a volatile month for Big Tech and AI stocks.

“You’re seeing kind of the old-school infrastructure, industrial products that have not done as well over the years,” the firm’s founding partner told CNBC’s “ETF Edge” this week. “But there’s a big drive… kind of away from globalization into this reshoring concept, and I think that has legs.”

Global X CEO Ryan O’Connor is also optimistic because the groups support the AI boom. His firm runs the Global X U.S. Infrastructure Development ETF (PAVE), which tracks companies involved in construction and industrial projects.

“Infrastructure is something that’s near and dear to our heart based off of PAVE, which is our largest ETF in the market,” said O’Connor in the same interview. “We think some of these reshoring efforts that you can get through some of these infrastructure places are an interesting one.”

The Global X’s infrastructure exchange-traded fund is up 16% so far this year, while the VanEck Semiconductor ETF (SMH), which includes AI bellwethers Nvidia, Taiwan Semiconductor and Broadcom, is up 42%, as of Friday’s close.

Both ETFs are lower so far this month — but Global X’s infrastructure ETF is performing better. Its top holdings, according to the firm’s website, are Howmet Aerospace, Quanta Services and Parker Hannifin.

Supporting the AI boom

He also sees electrification as a positive driver.

“All of the things that are going to be required for us to continue to support this AI boom, the electrification of the U.S. economy, is certainly one of them,” he said, noting the firm’s U.S. Electrification ETF (ZAP) gives investors exposure to them. The ETF is up almost 24% so far this year.

The Global X U.S. Electrification ETF is also performing a few percentage points better than the VanEck Semiconductor ETF for the month.

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How tariffs and AI are giving secondhand platforms like ThredUp a boost

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How tariffs and AI are giving secondhand platforms like ThredUp a boost

At ThredUp‘s 600,000-square-foot warehouse in Suwanee, Georgia, roughly 40,000 pieces of used clothing are processed each day. The company’s logistics network — four facilities across the U.S. — now rivals that of some fast-fashion giants.

“This is the largest garment-on-hanger system in the world,” said Justin Pina, ThredUp’s senior director of operations. “We can hold more than 3.5 million items here.”

Secondhand shopping is booming. The global secondhand apparel market is expected to reach $367 billion by 2029, growing almost three times faster than the overall apparel market, according to GlobalData.

President Donald Trump’s tariffs were billed as a way to bring manufacturing back home. But the measures hit one of America’s most import-dependent industries: fashion.

About 97 percent of clothing sold in the U.S. is imported, mostly from China, Vietnam, Bangladesh and India, according to the American Apparel and Footwear Association.

For years, Gen Z shoppers have been driving the rise of secondhand fashion, but now more Americans are catching on.

“When tariffs raise those costs, resale platforms suddenly look like the smart buy. This isn’t just a fad,” said Jasmine Enberg, co-CEO of Scalable. “Tariffs are accelerating trends that were already reshaping the way Americans shop.”

For James Reinhart, ThredUp’s CEO, the company is already seeing it play out.

“The business is free-cash-flow positive and growing double digits,” said Reinhart. “We feel really good about the economics, gross margins near 80% and operations built entirely within the U.S.”

ThredUp reported that revenue grew 34% year over year in the third quarter. The company also said it acquired more new customers in the quarter than at any other time in its history, with new buyer growth up 54% from the same period last year.

“If tariffs add 20% to 30% to retail prices, that’s a huge advantage for resale,” said Dylan Carden, research analyst at William Blair & Company. “Pre-owned items aren’t subject to those duties, so demand naturally shifts.”

Inside the ThredUp warehouse, where CNBC got a behind-the-scenes look. automation hums alongside human workers. AI systems photograph, categorize, and price thousands of garments per hour. For Reinhart, the technology is key to scaling resale like retail.

“AI has really accelerated adoption,” said Reinhart. “It’s helping us improve discovery, styling, and personalization for buyers.”

That tech wave extends beyond ThredUp. Fashion-tech startups Phia, co-founded by Phoebe Gates and Sophia Kianni, is using AI to scan thousands of listings across retail and resale in seconds.

“The fact that we’ve driven millions in transaction volume shows how big this need is,” Gates said. “People want smarter, cheaper ways to shop.”

ThredUp is betting that domestic infrastructure, automation, and AI will keep it ahead of the curve, and that tariffs meant to revive U.S. manufacturing could end up powering a new kind of American fashion economy.

“The future of fashion will be more sustainable than it is today,” said Reinhart. “And secondhand will be at the center of it.”

Watch the video to learn more.

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AI anxiety on the rise: Startup founders react to bubble fears

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AI anxiety on the rise: Startup founders react to bubble fears

Markets were on edge this week as a steady stream of negative headlines around the artificial intelligence trade stoked fears of a bubble.

Famed short-seller Michael Burry cast doubt on the sustainability of AI earnings. Concerns around the levels of debt funding AI infrastructure buildouts grew louder. And once high-flyers like CoreWeave tanked on disappointing guidance.

CNBC’s Deirdre Bosa asked those at the epicenter of the boom for their take, sitting down with the founders of two of the buzziest AI startups.

Amjad Masad, founder and CEO of AI coding startup Replit, admits there’s been a cooldown.

“Early on in the year, there was the vibe coding hype market, where everyone’s heard about vibe coding. Everyone wanted to go try it. The tools were not as good as they are today. So I think that burnt a lot of people,” Masad said. “So there’s a bit of a vibe coding, I would say, hype slow down, and a lot of companies that were making money are not making as much money.”

Masad added that a lot companies were publishing their annualized recurring revenue figures every week, and “now they’re not.”

Navrina Singh, founder and CEO of startup Credo AI, which helps enterprises with AI oversight and risk management, is seeing more excitement than fear.

“I don’t think we are in a bubble,” she said. “I really believe this is the new reality of the world that we are living in. As we know, AI is going to be and already is our biggest growth driver for businesses. So it just makes sense that there has to be more investment, not only on the capability side, governance side, but energy and infrastructure side as well.”

Watch this video to learn more. 

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