Doug McMillon, chief executive officer of Walmart Inc., left, and Satya Nadella, chief executive officer of Microsoft Corp., during the 2024 CES event in Las Vegas, Nevada, US, on Tuesday, Jan. 9, 2024.
Bloomberg | Bloomberg | Getty Images
Planning purchases for a special occasion like recent Super Bowl parties or Valentine’s Day celebrations might typically require consulting more than one online source — or the primary source of Google — but if Walmart has its way, that is going to change in the future.
Walmart is talking up its ability to use generative AI as a one-stop shop to search when you need to plan an event, rather than online destination to search for individual items. During a call with analysts after its February earnings, Walmart CEO Doug McMillon talked about the gen AI search capabilities in its app.
“The thing we’re most excited about that’s already happened is the way search has improved, and the way generative AI helped us really improve a solution-oriented search experience for customers and members,” McMillon said on the earnings call. “And it happened pretty quickly.”
It also adds to the questions about future use of a search engine like Google.
Walmart long ago established itself as a major tech player, successfully fending off years of anxiety over Amazon and remaining a leader in the retail space whose shares are now trading at an all-time high. The tech narrative is one the company has been spinning since it bought Jet.com, started by a former Amazon executive Marc Lore, noted Forrester vice president, principal analyst Sucharita Kodali. As a technology company, Walmart has to experiment a lot, and in the case of adding generative AI search capabilities, there’s a very low cost for failure, she said.
“It establishes them as an innovator in the space,” Kodali said. “They’re better to be a leader than a follower in their shoes. They’re operating from a position of strength.”
Experiments can go wrong, though, as happened to Alphabet recently when it launched the Gemini gen AI into the market before it was ready. In a rare public appearance, Google co-founder Sergey Brin said the company “messed up” with the launch, but he dismissed concerns about the company’s outlook.
“I expect business models are going to evolve over time,” Brin said. “And maybe it will still be advertising because advertising could work better, the AI is able to better tailor it. … I personally feel as long as there’s huge value being generated, we’ll figure out the business models.”
AI and search, shopping business model shifts
It’s not only Walmart investing in this type of search in the retail sector. Instacart’s AI-enabled “Ask Instacart” allows customers to search based on theme like dinner or date night rather than by item. Amazon’s AI shopping assistant Rufus lets people have a conversation with the platform about what they need rather than just looking for direct items. Shopify’s AI-powered “Semantic Search” helps sellers find the right items to sell potential customers, making sure their search results are more accurate.
“We’re going to see this become a norm for online retailers,” said Jacob Bourne, analyst at Insider Intelligence. “Google is anxious is about search in general, and the question this raises is will it be a death by a thousand cuts for Google Search?” Bourne said.
Kodali sees the threat in terms that are less existential. The world still relies heavily on Alphabet’s core search business for many things, and some early gen AI successes from retailers won’t change that.
“You get in the habit of using Google because you use it for everything,” Kodali said. “You use it for everything else (outside of shopping), and everything else is like 90 percent of the searches you do. So, unless Amazon and Walmart are going to get into the business of the other 90 percent of the searches, it’s not going to happen.”
Alphabet is continuing to invest heavily in Gemini, as well as more specific AI tools to embed itself inside other retail ecosystems, such as Google Cloud’s Vertex AI Search for retail, and its Conversational Commerce tools which allow companies to put virtual AI-powered customer service agents on their websites and apps. Customers of Google Cloud AI products include Victoria’s Secret, Macy’s Ikea, Lowe’s and Rainbow Shops.
Alphabet points to over 35 billion product listings from retailers on a global basis on Google, and its own AI-powered tools that make it easy to find the right one. “People shop with Google more than a billion times a day, and we’re invested in improving shopping journeys across Google as well as giving retailers generative AI tools to create great experiences for their customers,” a spokeperson said.
Traditional search engines are due for change. They suggest thousands of results based on a prompt, which people have to sort through to find the right answer. With content production at an all time high, there’s more information out there than ever, and not everything is accurate or appropriate. Advertising, especially on search products, is also the main way that companies like Google make money.
Instead of researching what to buy on a search engine like Google and then heading to a retailers’ website for those items, retailers’ generative AI can find specific answers, narrowing it down to a few choices and saving people time, while allowing companies to own the experience and build direct loyalty, rather than having to show up on the top of search results.
“Creating great customer and member experiences is our top priority, and gen AI powered search makes online shopping even more intuitive and convenient,” a Walmart spokesperson told CNBC. “A single query for a themed party can serve up relevant, cross-category recommendations, replacing the need for individual searches for each and every item. This can be a significant time saver which leads to a more positive experience.”
It’s something Google at least should be concerned about, said Stefano Puntoni, professor of marketing at The Wharton School, who is also co-academic director of an executive education course on generative AI and business transformation. “Maybe when a retailer has a powerful generative AI engine on their platform, customers don’t feel the need to go on Google at all,” Puntoni said. “Maybe they’re able to get to learn about what they need directly on the retailer’s platform.”
This also gives companies a chance to suggest more products. Brands like L’Oreal are using AI to have people try on makeup virtually, which can show the shopper items they may not have been in the market for. Digital celebrities can theoretically sell products to customers through personalized AI-enabled conversations to customers instead of a pre-programmed chatbot.
“What generative AI search does is it democratizes a lot of the opportunities now for brands and companies, who now can also create those,” said Elav Horwitz, McCann Worldgroup executive vice president and head of applied innovation.
Alphabet also owns a lot of brands that people rely on every day, and plenty of valuable advertising real estate where the results will be more relevant than ever.
“The tech companies keep on experimenting with new features every day,” Horwitz said. “Google is openly speaking about it. The SEO and SEM model is going to change. But I think we’ll probably see a lot of generative search or recommendations in other Google products like in Gmail, Google Drive, Google Photos, and YouTube.”
Traders work on the floor of the New York Stock Exchange (NYSE) on Nov. 21, 2025 in New York City.
Spencer Platt | Getty Images
Last week on Wall Street, two forces dragged stocks lower: a set of high-stakes numbers from Nvidia and the U.S. jobs report that landed with more heat than expected. But the leaves that remained after hot tea scalded investors seemed to augur good tidings.
Even though Nvidia’s third-quarter results easily breezed past Wall Street’s estimates, they couldn’t quell worries about lofty valuations and an unsustainable bubble inflating in the artificial intelligence sector. The “Magnificent Seven” cohort — save Alphabet — had a losing week.
The U.S. Bureau of Labor Statistics added to the pressure. September payrolls rose far more than economists expected, prompting investors to pare back their bets of a December interest rate cut. The timing didn’t help matters, as the report had been delayed and hit just as markets were already on edge.
On Friday, New York Federal Reserve President John Williams said that he sees “room” for the central bank to lower interest rates, describing current policy as “modestly restrictive.” His comments caused traders to increase their bets on a December cut to around 70%, up from 44.4% a week ago, according to the CME FedWatch tool.
And despite a broad sell-off in AI stocks last week, Alphabet shares bucked the trend. Investors seemed impressed by its new AI model, Gemini 3, and hopeful that its development of custom chips could rival Nvidia’s in the long run.
Meanwhile, Eli Lilly’s ascent into the $1 trillion valuation club served as a reminder that market leadership doesn’t belong to tech alone. In a market defined by narrow concentration, any sign of broadening strength is a welcome change.
Diversification, even within AI’s sprawling ecosystem, might be exactly what this market needs now.
Qube Holdings receives takeover proposal from Macquarie. The asset management firm has put forth a non-binding proposal to acquire Qube Holdings, an Australian logistics company, at an enterprise value of 11.6 billion Australian dollars ($7.49 billion).
Bessent doesn’t see a U.S. recession in 2026. “We have set the table for a very strong, noninflationary growth economy,” the U.S. Treasury secretary said Sunday in an interview on “Meet the Press.” However, he acknowledged that some sectors have been struggling.
Singapore inflation creeps up. The country’s consumer price index for October rose 1.2% year on year, the highest since August 2024 and surpassing the 0.9% estimate in a Reuters poll of economists. Core inflation also increased a higher-than-expected 1.2%.
[PRO] Opportunities in China’s tech sector. Despite a trade truce between the U.S. and China, ongoing tensions mean both will focus on homegrown technology, analysts say. Here are the Chinese tech firms that Wall Street banks are keeping an eye on.
And finally…
A picture taken on December 8, 2014 in Abidjan shows a Chinese shoe dealer in a transaction at Adjamene’s market.
Chinese business dealings in Africa, once dominated by state-owned enterprises, are now increasingly shifting toward consumer products from the private sector.
Chinese investments in Africa’s resource-intensive sectors have declined by roughly 40% since their 2015 peak, according to Rhodium Group China Cross-Border Monitor released on Nov. 18 this year. Meanwhile, China’s exports to Africa have surged by 28% year on year over the first three quarters of 2025, the report said.
Traders work on the floor of the New York Stock Exchange (NYSE) on Nov. 21, 2025 in New York City.
Spencer Platt | Getty Images
Last week on Wall Street, two forces dragged stocks lower: a set of high-stakes numbers from Nvidia and the U.S. jobs report that landed with more heat than expected. But the leaves that remained after hot tea scalded investors seemed to augur good tidings.
Even though Nvidia’s third-quarter results easily breezed past Wall Street’s estimates, they couldn’t quell worries about lofty valuations and an unsustainable bubble inflating in the artificial intelligence sector. The “Magnificent Seven” cohort — save Alphabet — had a losing week.
The U.S. Bureau of Labor Statistics added to the pressure. September payrolls rose far more than economists expected, prompting investors to pare back their bets of a December interest rate cut. The timing didn’t help matters, as the report had been delayed and hit just as markets were already on edge.
On Friday, New York Federal Reserve President John Williams said that he sees “room” for the central bank to lower interest rates, describing current policy as “modestly restrictive.” His comments caused traders to increase their bets on a December cut to around 70%, up from 44.4% a week ago, according to the CME FedWatch tool.
And despite a broad sell-off in AI stocks last week, Alphabet shares bucked the trend. Investors seemed impressed by its new AI model, Gemini 3, and hopeful that its development of custom chips could rival Nvidia’s in the long run.
Meanwhile, Eli Lilly’s ascent into the $1 trillion valuation club served as a reminder that market leadership doesn’t belong to tech alone. In a market defined by narrow concentration, any sign of broadening strength is a welcome change.
Diversification, even within AI’s sprawling ecosystem, might be exactly what this market needs now.
What you need to know today
And finally…
The Beijing music venue DDC was one of the latest to have to cancel a performance by a Japanese artist on Nov. 20, 2025, in the wake of escalating bilateral tensions.
China’s escalating dispute with Japan reinforces Beijing’s growing economic influence — and penchant for abrupt actions that can create uncertainty for businesses.
Hours before Japanese jazz quintet The Blend was due to perform in Beijing on Thursday, a plainclothesman walked into the DDC music club during a sound check. Then, “the owner of the live house came to me and said: ‘The police has told me tonight is canceled,'” said Christian Petersen-Clausen, a music agent.
— Evelyn Cheng
Correction: This report has been updated to correct the spelling of Eli Lilly.
Meta halted internal research that purportedly showed that people who stopped using Facebook became less depressed and anxious, according to a legal filing that was released on Friday.
The social media giant was alleged to have initiated the study, dubbed Project Mercury, in late 2019 as a way to help it “explore the impact that our apps have on polarization, news consumption, well-being, and daily social interactions,” according to the legal brief, filed in the United States District Court for the Northern District of California.
The filing contains newly unredacted information pertaining to Meta.
The newly released legal brief is related to high-profile multidistrict litigation from a variety of plaintiffs, such as school districts, parents and state attorneys general against social media companies like Meta, Google’s YouTube, Snap and TikTok.
The plaintiffs claim that these businesses were aware that their respective platforms caused various mental health-related harms to children and young adults, but failed to take action and instead misled educators and authorities, among several allegations.
“We strongly disagree with these allegations, which rely on cherry-picked quotes and misinformed opinions in an attempt to present a deliberately misleading picture,” Meta spokesperson Andy Stone said in a statement. “The full record will show that for over a decade, we have listened to parents, researched issues that matter most, and made real changes to protect teens—like introducing Teen Accounts with built-in protections and providing parents with controls to manage their teens’ experiences.”
A Google spokesperson said in a statement that “These lawsuits fundamentally misunderstand how YouTube works and the allegations are simply not true.”
“YouTube is a streaming service where people come to watch everything from live sports to podcasts to their favorite creators, primarily on TV screens, not a social network where people go to catch up with friends,” the Google spokesperson said. “We’ve also developed dedicated tools for young people, guided by child safety experts, that give families control.”
Snap and TikTok did not immediately respond to a request for comment.
The 2019 Meta research was based on a random sample of consumers who stopped their Facebook and Instagram usage for a month, the lawsuit said. The lawsuit alleged that Meta was disappointed that the initial tests of the study showed that people who stopped using Facebook “for a week reported lower feelings of depression, anxiety, loneliness, and social comparison.”
Meta allegedly chose not to “sound the alarm,” but instead stopped the research, the lawsuit said.
“The company never publicly disclosed the results of its deactivation study,” according to the suit. “Instead, Meta lied to Congress about what it knew.”
The lawsuit cites an unnamed Meta employee who allegedly said, “If the results are bad and we don’t publish and they leak, is it going to look like tobacco companies doing research and knowing cigs were bad and then keeping that info to themselves?”
Stone, in a series of social media posts, pushed back on the lawsuit’s implication that Meta shuttered the internal research after it allegedly showed a causal relationship between its apps and adverse mental-health effects.
Stone characterized the 2019 study as flawed and said it was the reason that the company expressed disappointment. The study, Stone said, merely found that “people who believed using Facebook was bad for them felt better when they stopped using it.”
“This is a confirmation of other public research (“deactivation studies”) out there that demonstrates the same effect,” Stone said in a separate post. “It makes intuitive sense but it doesn’t show anything about the actual effect of using the platform.”