In 2012, Amazon founder Jeff Bezos was asked by TV host Charlie Rose whether his e-commerce company would ever venture into brick-and-mortar stores. Bezos said shoppers were well-served by existing physical retailers and that Amazon wasn’t interested in launching a “me-too” product.
“We want to do something that’s uniquely Amazon,” Bezos said. “If we can find that idea, and we haven’t found it yet, but if we can find that idea, we would love to open physical stores.”
Six years later, Amazon landed on a revolutionary retail concept that it hoped would transform how people shop in brick-and-mortar stores. The company launched its first Amazon Go convenience store featuring a new kind of technology, called “Just Walk Out.”
In practice, customers would be able to load up their cart and exit the store without standing in a checkout line. Amazon soon brought cashierless checkout to its Fresh supermarkets and two Whole Foods locations. In 2020, the company began licensing Just Walk Out technology to third parties, signing on retailers in stadiums, airports and hospitals.
But the company has since taken a sideways turn.
In April, Amazon announced it was removing cashierless checkout from its U.S. Fresh stores and Whole Foods locations, a move that coincided with CEO Andy Jassy’s efforts to rein in costs to meet rapidly changing macro conditions.
In place of Just Walk Out, which typically requires ceiling-mounted cameras, shelf sensors and gated entry points, Amazon Fresh stores and Whole Foods supermarkets will feature Dash Carts. The carts track and tally up items as shoppers place them in bags, enabling people to skip the checkout line. Amazon continues to use Just Walk Out in its grab-and-go marts and UK Fresh stores.
A woman uses a dash cart during her grocery-shopping at a Whole Foods store as Amazon launches smart shopping carts at Whole Foods stores in San Mateo, California, United States on February 25, 2024. The smart shopping cart makes grocery shopping quicker by allowing customers to scan products right into their cart as they shop and then skip the checkout line.
Tayfun Coskun | Anadolu | Getty Images
The main challenge for Amazon and other startups working on autonomous checkout is the need to scale it to enough locations and retail categories that it becomes a natural part of in-store shopping, said Jordan Berke, founder and CEO of retail consulting firm Tomorrow.
“Until that’s the case, it’s an uphill battle,” Berke said. “These technology providers, Amazon included, are going to have to subsidize and continue to invest to train the retailer, train the consumer, train the market, that this is a mainstream experience that we can all trust and not need to think about as we walk in and out of a store.”
‘The hardest problem to solve’
At one point Amazon saw Just Walk Out becoming a core part of the experience of shopping in its physical stores. The company in 2018 planned to open as many as 3,000 Amazon Go stores within a few years, Bloomberg reported at the time, citing people familiar with the plans.
Bezos had assigned top talent from across the company, including a longtime Amazon executive who built the original Kindle e-reader, to work on cashierless checkout. The technology was considered a key ingredient in Amazon’s long-running pursuit to become a giant in the $1.6 trillion U.S. grocery market.
When Amazon debuted Just Walk Out in January 2018, it was a “quake moment” for the industry, causing Walmart and “almost every other retailer” to leap into action and consider developing their own vision-based checkout systems, said Berke, who previously led Walmart’s e-commerce business in China.
Amazon and other retailers soon learned that automating the checkout process is “the hardest problem to solve,” Berke said. Cashierless checkout systems require a hefty upfront investment to blanket a store with overhead cameras and hire staff to label and review shopping data.
“It meant a store had to dramatically increase its sales in order to pay off that investment,” Berke said.
Walmart teams found as part of a cost analysis in early 2019 that it would run a retailer between $10 million and $15 million to create a similar computer vision-based checkout system for a 40,000 square foot supermarket, Berke said.
Just Walk Out became an expensive project for Amazon, too. In 2019 and 2020, the company shelled out roughly $1 billion per year, including research and development costs and capital expenditures, to “learn and scale” the technology, Berke said. He said those figures are based on discussions with a former Just Walk Out executive who left Amazon to join Walmart.Amazon didn’t provide a comment on the figures.
Many retailers have since moved on from computer vision in favor of simpler methods like mobile checkout through an app, Berke said.
While it’s no longer featuring Just Walk Out as prominently in its own stores, Amazon says it has inked deals with a growing list of customers. More than 200 third-party stores have paid Amazon to install the cashierless system. The company expects to double the number of third-party Just Walk Out stores this year, Jon Jenkins, who previously served as vice president of Amazon’s Just Walk Out technology, said in a recent interview. Jenkins departed Amazon in late September to become technology chief of electric bike and scooter startup Lime, according to his LinkedIn page.
Jon Jenkins, Amazon’s former vice president of Just Walk Out technology, gives a tour of the mock convenience store where the company tests its cashierless checkout system in Seattle, Washington, on August 22, 2024.
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Jenkins disputed characterizations that Amazon’s phasing out of Just Walk Out from its own supermarkets represents a setback or a sign of the technology’s demise. He said Amazon proved through tests in its own grocery stores that the technology is “incredibly capable,” noting it deployed the system in large supermarkets with “600 people in the store at the same time.”
Other startups such as AiFi and Grabango have developed autonomous systems for supermarkets, convenience stores and other retailers, but widespread adoption has been slow, as the technology remains costly and challenging to operate in large store formats.
Inside the lab
Amazon is still fine-tuning its Just Walk Out technology.
In August, CNBC got the first on-camera look at a mock convenience store where Amazon tests the system before deploying it in third party retailers and its own stores.
The testing lab, which it calls “beverage base camp,” is located in Amazon’s Seattle headquarters. It has faux gates that mimic the experience of scanning your smartphone or credit card to enter a Just Walk Out store. The walls are lined with shelves of typical grab-and-go products like Milky Way bars, pita chips and gum, and there are coolers stocked with Coke cans and other beverages.
Amazon sets up Just Walk Out stores by first creating a 3D scan using LiDAR machines or iPads that help it determine where to place cameras so they have the clearest view.
“The goal is to have the fewest number of cameras possible, so we optimize the camera placement so that we can get enough coverage on each fixture to see what is happening in the store,” Jenkins said.
The system determines what shoppers purchased using several inputs, including the 3D scans, a catalog of product images, the video footage, and weight sensors on the shelves. Amazon in July updated the AI system behind its Just Walk Out technology to handle all the inputs in a store simultaneously.
The new “multi-modal” system can generate receipts faster by more accurately predicting which items shoppers have picked up and put back on shelves. The company said these changes should make it “faster, easier to deploy and more efficient” for retailers who install the system in their stores.
Amazon’s “primary focus” is selling the technology to third-party businesses and deploying it in small to medium-sized store formats, where the system “tends to generate a little better [return on investment],” Jenkins said. Earlier this year, Amazon also began selling its connected grocery carts to third parties.
Amazon in September announced several new third-party Just Walk Out stores at universities and sports stadiums.
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At one Just Walk Out store, inside Seattle’s Lumen Field, home to the NFL’s Seahawks, the company said it boosted sales by 112% last season, with 85% more transactions during the course of a game.
“It was awesome that we had our own stores as the laboratory to sort of build and launch this,” Jenkins said. “But over time, like many things at Amazon, the success of this project and the product will depend on third parties adopting the technology. There will always be more third-party stores in the world than there will be first-party stores.”
Amazon has used a similar playbook in in the past. Amazon Web Services, the company’s wildly successful cloud-computing unit, originated from the company’s need for IT infrastructure to support its fast-growing online retail business. And in recent years, Amazon has leveraged its logistics and fulfillment network to provide services for third parties.
With Just Walk Out, Amazon faces the challenge of convincing retailers that they can trust one of their biggest competitors with handling valuable shopper data.
In 2022, Amazon moved the team behind Just Walk Out from its retail organization to AWS. It marked one of the clearest signals yet that Amazon is serious about selling the technology to other retailers, and could help ease some fears among rivals.
“They’re clearly in sales mode,” said Sucharita Kodali, retail analyst at Forrester Research, in an interview.
Kodali said Amazon still has a “long way to go” before the technology is ubiquitous. Getting there will require patience from Amazon investors and data that shows both retailers and shoppers are embracing the technology.
“There’s almost a viral effect that will occur over time,” she said. “It’s just going to take a long time because you’ve got to cycle through everybody in America having this experience, and for the most part, it’s just Amazon fighting this fight right now.”
Oracle CEO Clay Magouyrk appears on a media tour of the Stargate AI data center in Abilene, Texas, on Sept. 23, 2025.
Kyle Grillot | Bloomberg | Getty Images
Oracle on Friday pushed back against a report that said the company will complete data centers for OpenAI, one of its major customers, in 2028, rather than 2027.
The delay is due to a shortage of labor and materials, according to the Friday report from Bloomberg, which cited unnamed people. Oracle shares fell to a session low of $185.98, down 6.5% from Thursday’s close.
“Site selection and delivery timelines were established in close coordination with OpenAI following execution of the agreement and were jointly agreed,” an Oracle spokesperson said in an email to CNBC. “There have been no delays to any sites required to meet our contractual commitments, and all milestones remain on track.”
The Oracle spokesperson did not specify a timeline for turning on cloud computing infrastructure for OpenAI. In September, OpenAI said it had a partnership with Oracle worth more than $300 billion over the next five years.
“We have a good relationship with OpenAI,” Clay Magouyrk, one of Oracle’s two newly appointed CEOs, said at an October analyst meeting.
Doing business with OpenAI is relatively new to 48-year-old Oracle. Historically, Oracle grew through sales of its database software and business applications. Its cloud infrastructure business now contributes over one-fourth of revenue, although Oracle remains a smaller hyperscaler than Amazon, Microsoft and Google.
OpenAI has also made commitments to other companies as it looks to meet expected capacity needs.
In September, Nvidia said it had signed a letter of intent with OpenAI to deploy at least 10 gigawatts of Nvidia equipment for the San Francisco artificial intelligence startup. The first phase of that project is expected in the second half of 2026.
Nvidia and OpenAI said in a September statement that they “look forward to finalizing the details of this new phase of strategic partnership in the coming weeks.”
But no announcement has come yet.
In a November filing, Nvidia said “there is no assurance that we will enter into definitive agreements with respect to the OpenAI opportunity.”
OpenAI has historically relied on Nvidia graphics processing units to operate ChatGPT and other products, and now it’s also looking at designing custom chips in a collaboration with Broadcom.
On Thursday, Broadcom CEO Hock Tan laid out a timeline for the OpenAI work, which was announced in October. Broadcom and OpenAI said they had signed a term sheet.
“It’s more like 2027, 2028, 2029, 10 gigawatts, that was the OpenAI discussion,” Tan said on Broadcom’s earnings call. “And that’s, I call it, an agreement, an alignment of where we’re headed with respect to a very respected and valued customer, OpenAI. But we do not expect much in 2026.”
“This is the wrong approach — and most likely illegal,” Sen. Amy Klobuchar, D-Minn., said in a post on X Thursday.
“We need a strong federal safety standard, but we should not remove the few protections Americans currently have from the downsides of AI,” Klobuchar said.
Trump’s executive order directs Attorney General Pam Bondi to create a task force to challenge state laws regulating AI.
The Commerce Department was also directed to identify “onerous” state regulations aimed at AI.
The order is a win for tech companies such as OpenAI and Google and the venture firm Andreessen Horowitz, which have all lobbied against state regulations they view as burdensome.
It follows a push by some Republicans in Congress to impose a moratorium on state AI laws. A recent plan to tack on that moratorium to the National Defense Authorization Act was scuttled.
Collin McCune, head of government affairs at Andreessen Horowitz, celebrated Trump’s order, calling it “an important first step” to boost American competition and innovation. But McCune urged Congress to codify a national AI framework.
“States have an important role in addressing harms and protecting people, but they can’t provide the long-term clarity or national direction that only Congress can deliver,” McCune said in a statement.
Sriram Krishnan, a White House AI advisor and former general partner at Andreessen Horowitz, during an interview Friday on CNBC’s “Squawk Box,” said that Trump is was looking to partner with Congress to pass such legislation.
“The White House is now taking a firm stance where we want to push back on ‘doomer’ laws that exist in a bunch of states around the country,” Krishnan said.
He also said that the goal of the executive order is to give the White House tools to go after state laws that it believes make America less competitive, such as recently passed legislation in Democratic-led states like California and Colorado.
The White House will not use the executive order to target state laws that protect the safety of children, Krishnan said.
Robert Weissman, co-president of the consumer advocacy group Public Citizen, called Trump’s order “mostly bluster” and said the president “cannot unilaterally preempt state law.”
“We expect the EO to be challenged in court and defeated,” Weissman said in a statement. “In the meantime, states should continue their efforts to protect their residents from the mounting dangers of unregulated AI.”
Weissman said about the order, “This reward to Big Tech is a disgraceful invitation to reckless behavior by the world’s largest corporations and a complete override of the federalist principles that Trump and MAGA claim to venerate.”
In the short term, the order could affect a handful of states that have already passed legislation targeting AI. The order says that states whose laws are considered onerous could lose federal funding.
One Colorado law, set to take effect in June, will require AI developers to protect consumers from reasonably foreseeable risks of algorithmic discrimination.
Some say Trump’s order will have no real impact on that law or other state regulations.
“I’m pretty much ignoring it, because an executive order cannot tell a state what to do,” said Colorado state Rep. Brianna Titone, a Democrat who co-sponsored the anti-discrimination law.
In California, Gov. Gavin Newsom recently signed a law that, starting in January, will require major AI companies to publicly disclose their safety protocols.
That law’s author, state Sen. Scott Wiener, said that Trump’s stated goal of having the United States dominate the AI sector is undercut by his recent moves.
“Of course, he just authorized chip sales to China & Saudi Arabia: the exact opposite of ensuring U.S. dominance,” Wiener wrote in an X post on Thursday night. The Bay Area Democrat is seeking to succeed Speaker-emerita Nancy Pelosi in the U.S. House of Representatives.
Trump on Monday said he will Nvidia to sell its advanced H200 chips to “approved customers” in China, provided that U.S. gets a 25% cut of revenues.
Coinbase is gearing up to launch an in-house prediction market, powered by Kalshi, a source close to the matter told CNBC — a strategic play to expand the number of asset classes available on the cryptocurrency exchange at a time some investors are shying away from digital assets.
The source said Coinbase and Kalshi will “soon” formally announce the prediction market, with news on the matter potentially coming as early as next week.
Rumblings of the prediction market launch have swirled for nearly a month. An alleged screenshot of Coinbase’s prediction markets dashboard shared by Silicon Valley researcher Jane Manchun Wong in an X post dated Nov. 18 offered some clues about the new product.
The Information first reported on Nov. 19 that Coinbase planned to launch prediction markets powered by Kalshi, adding that the exchange would unveil the new product at its “Coinbase System Update” event on Dec. 17. Bloomberg published a similar report on Thursday, citing a source familiar with the matter, adding that Coinbase would also announce a tokenized stock offering at the showcase.
Coinbase declined to confirm the reports to CNBC, but said to tune into its event next week. The firm did not comment on a timeline for when its prediction markets would go live for its users.
Coinbase’s upcoming product launches underscore its push to refashion itself into an “everything exchange,” or a one-stop shop for trading all kinds of assets, including crypto tokens, tokenized stocks and event contracts. In May, CEO Brian Armstrong articulated that “everything exchange” vision to investors, saying Coinbase would aim to become a top financial services app within the next decade.
The trading platform is setting its sights on that goal as it faces intensifying competition from rivals such as Robinhood,Gemini and Kraken. All three have launched tokenized equity offerings to users outside of the U.S. within the past year, in addition to exploring prediction markets to varying extents.
Coinbase’s moves to expand the financial instruments available to its users also come as investor sentiment on digital assets cools. A series of liquidations of highly leveraged digital asset positions in mid-October triggered several pullbacks in the crypto market, prompting investors to rotate out of tokens and into gold and other safe-have assets.
Bitcoin fell as low as around $85,000 in early December, hitting its lowest level since last March. The token was last trading at $89,951, down 23% in the past three months. Coinbase has also fallen more than 16% over the past three months.
The deal also underscores U.S.-based prediction markets operator Kalshi’s push to embed its event contracts into various brokerages, widening its reach as the prediction markets space becomes increasingly competitive.
This year, Kalshi embedded several of its prediction markets into trading platform Robinhood, as part of a non-exclusive partnership between the companies. Kalshi has also engaged in talks with several other major brokerages, including those in the crypto industry, with the aim of closing more deals like the ones it has struck with Robinhood and now Coinbase, a source familiar with the matter told CNBC.