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.”
The U.S. has placed major chip export restrictions on Huawei and Chinese firms over the past few years. This has cut off companies’ access to critical semiconductors.
Jaap Arriens | Nurphoto | Getty Images
Taiwan has added China’s Huawei and SMIC to its trade blacklist in a move that further aligns it with U.S. trade policy and comes amid growing tensions with Beijing.
Taiwan’s current regulations require licenses from regulators before domestic firms can ship products to parties named on the entity list.
In a statement on its website, Taiwan’s International Trade Administration said that Huawei and SMIC were among the 601 new foreign entities, blacklisted due to their involvement in arms proliferation activities and other national security concerns.
Huawei and SMIC are also on a U.S. trade blacklist and have been impacted by Washington’s sweeping controls on advanced chips. Companies such as contract chipmaker Taiwan Semiconductor Manufacturing Co already follow U.S. export restrictions.
However, the addition of Huawei and SMIC to the Taiwan blacklist is likely aimed at the reinforcement of this policy and a tightening of existing loopholes, Ray Wang, an independent semiconductor and tech analyst, told CNBC.
He added that the new domestic export controls could also raise the punishment for any potential breaches in the future.
TSMC had been embroiled in controversy in October last year when semiconductor research firm TechInsights found a TSMC-made chip in a Huawei AI training card.
Following the discovery, the U.S. Commerce Department ordered TSMC to halt Chinese clients’ access to chips used for AI services, according to a report from Reuters. TSMC could also reportedly face a $1 billion as penalty to settle a U.S. investigation into the matter.
Huawei has been working to create viable alternatives to Nvidia‘s general processing units used for AI. But, experts say the company’s advancement has been limited by export controls and a lack of scale and capabilities in the domestic chip ecosystem.
Still, Huawei is believed to have acquired several million GPU dies from TSMC for its AI chips by using previous loopholes before they were discovered, according to Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
A die refers to a small piece of silicon material that serves as the foundation for building processors and contains the intricate circuitry and components necessary to perform computations.
The Taiwanese government’s crackdown on exports to SMIC and Huawei also comes amid tense geopolitical tensions with Mainland China, which regards the democratically governed island as its own territory to be reunited by force, if necessary.
In statements reported by state media on Sunday, China’s top political adviser Wang Huning echoed Beijing’s position, calling for the promotion of national reunification with Taiwan and for resolute opposition to Taiwan independence.
An AI assistant on display at Mobile World Congress 2024 in Barcelona.
Angel Garcia | Bloomberg | Getty Images
Artificial intelligence is shaking up the advertising business and “unnerving” investors, one industry leader told CNBC.
“I think this AI disruption … unnerving investors in every industry, and it’s totally disrupting our business,” Mark Read, the outgoing CEO of British advertising group WPP, told CNBC’s Karen Tso on Tuesday.
The advertising market is under threat from emerging generative AI tools that can be used to materialize pieces of content at rapid pace. The past couple of years has seen the rise of a number of AI image generators, including OpenAI’s DALL-E, Google’s Veo and Midjourney.
In his first interview since announcing he would step down as WPP boss, Read said that AI is “going to totally revolutionize our business.”
“AI is going to make all the world’s expertise available to everybody at extremely low cost,” he said at London Tech Week. “The best lawyer, the best psychologist, the best radiologist, the best accountant, and indeed, the best advertising creatives and marketing people often will be an AI, you know, will be driven by AI.”
Read said that 50,000 WPP employees now use WPP Open, the company’s own AI-powered marketing platform.
“That, I think, is my legacy in many ways,” he added.
Structural pressure on creative parts of the ad business are driving industry consolidation, Read also noted, adding that companies would need to “embrace” the way in which AI would impact everything from creating briefs and media plans to optimizing campaigns.
A report from Forrester released in June last year showed that more than 60% of U.S. ad agencies are already making use of generative AI, with a further 31% saying they’re exploring use cases for the technology.
‘Huge transformation’
Read is not alone in this view. Advertising is undergoing a “huge transformation” due to the disruptive effects of AI, French advertising giant Publicis Groupe’s CEO Maurice Levy told CNBC at the Viva Tech conference in Paris.
He noted that AI image and video generation tools are speeding up content production drastically, while automated messaging systems can now achieve “personalization at scale like never before.”
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However, the Publicis chief stressed that AI should only be considered a tool that people can use to augment their lives.
“We should not believe that AI is more than a tool,” he added.
And while AI is likely to impact some jobs, Levy ultimately thinks it will create more roles than it destroys.
“Will AI replace me, and will AI kill some jobs? I think that AI, yes, will destroy some jobs,” Levy conceded. However, he added that, “more importantly, AI will transform jobs and will create more jobs. So the net balance will be probably positive.”
This, he says, would be in keeping with the labor impacts of previous technological inventions like the internet and smartphones.
“There will be more autonomous work,” Levy added.
Still, Nicole Denman Greene, analyst at Gartner, warns brands should be wary of causing a negative reaction from consumers who are skeptical of AI’s impact on human creativity.
According to a Gartner survey from September, 82% of consumers said firms using generative AI should prioritize preserving human jobs, even if it means lower profits.
“Pivot from what AI can do to what it should do in advertising,” Greene told CNBC.
“What it should do is help create groundbreaking insights, unique execution to reach diverse and niche audiences, push boundaries on what ‘marketing’ is and deliver more brand differentiated, helpful and relevant personalized experiences, including deliver on the promise of hyper-personalization.”
Jensen Huang, co-founder and chief executive officer of Nvidia Corp., left, and Emmanuel Macron, France’s president at the 2025 VivaTech conference in Paris, France, on Wednesday, June 11, 2025.
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Nvidia boss Jensen Huang has been on a tour of Europe this week, bringing excitement and intrigue to everywhere he visited.
His message was clear — Nvidia is the company that can help Europe build its artificial intelligence infrastructure so the region can take control of its own destiny with the transformative technology.
I’ve been in London and Paris this week following Huang around as he met with U.K. Prime Minister Keir Starmer, French President Emmanuel Macron, journalists, fans, analysts and gave a keynote at Nvidia’s GTC event in the capital of France.
Here’s the what I saw and the key things I learned.
At London Tech Week, the lines were long and the auditorium packed to hear him speak.
The GTC event in Paris was full too. It was like going to a music concert or sporting event. There were GTC Paris T-shirts on the back of every chair and even a merchandise store.
Nvidia GTC in Paris on 11 June 2025
Arjun Kharpal
The aura of Huang really struck me when, after a question-and-answer session with him and a room full of attendees, most people lined up to take pictures or selfies with him.
Macron and Starmer both wanted to be seen on stage with him.
Nvidia positions itself as Europe’s AI hope
Nvidia’s key product is its graphics processing units (GPU) that are used to train and execute AI applications.
But Huang has positioned Nvidia as more than a chip company. During the week, he described Nvidia as an infrastructure firm. He also said AI should be seen as infrastructure like electricity.
His pitch to all countries was that Nvidia could be the company that will help countries build out that infrastructure.
“We believe that in order to compete, in order to build a meaningful ecosystem, Europe needs to come together and build capacity that is joint,” Huang said during a speech at the Viva Tech conference in Paris on Wednesday.
Jensen Huang, CEO of Nvidia, speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 11, 2025.
Gonzalo Fuentes | Reuters
One of the most significant partnerships announced this week is between French startup Mistral and Nvidia to build a so-called AI cloud using the latter’s GPUs.
Huang spoke a lot during the week about “sovereign AI” — the concept of building data centers within a country’s borders that services its population rather than relying on servers located overseas. Among European policymakers and companies, this has been an important topic.
Huang also heaped praise on the U.K., France and Europe more broadly when it came to their potential in the AI industry.
China still behind but catching up
On Thursday, Huang decided to do a tour of Nvidia’s booth and I managed to catch him to get a few words on CNBC’s “Squawk Box Europe.”
A key topic of that discussion was China. Nvidia has not been able to sell its most advanced chips to China because of U.S. export controls and even less sophisticated semiconductors are being blocked. In its last quarterly results, Nvidia took a $4.5 billion hit on unsold inventory.
I asked Huang about how China was progressing with AI chips, in particular referencing Huawei, the Chinese tech giant that is trying to make semiconductor products to rival Nvidia.
Huang said Huawei is a generation behind Nvidia. But because there is lots of energy in China, Huawei can just use more chips to get results.
“If the United States doesn’t want to partake, participate in China, Huawei has got China covered, and Huawei has got everybody else covered,” Huang said.
In addition, Huang is concerned about the strategic importance of U.S. companies not having access to China.
“It’s even more important that the American technology stack is what AI developers around the world build on,” Huang said.
Just reading between the lines somewhat — Huang sees a world where Chinese AI tech advances. Some countries may decide to build their AI infrastructure with Chinese companies rather than American. That in turn could give Chinese companies a chance to be in the AI race.
Quantum, robotics and driverless is the future
Huang often uses public appearances to talk about the future.
I asked him about some of those areas he’s bullish on like robotics and driverless cars, technology that Nvidia’s products can power.
Huang told me this will be the “decade of” autonomous vehicles and robotics.
Nvidia boss Jensen Huang delivers a speech on stage talking about robotics.
Arjun Kharpal | CNBC
During his keynote at GTC Paris on Wednesday, he also address quantum computing, saying the technology is reaching “an inflection point.”
Quantum computers are widely believed to be able to solve complex problems that classic computers can’t. This could include things like discovering new drugs or materials.