Amid the recent flurry of excitement around the transformational potential of ChatGPT is the fact that companies have been using artificial intelligence across their businesses for years.
But few companies have the ability to gather the massive data sets that power AI quite like Walmart. There are roughly 4,700 Walmart stores and 600 Sam’s Clubs in the U.S. employing a combined 1.6 million workers — or associates as the company likes to call them.
Deploying artificial intelligence and machine learning in ways that improve both the customer and employee experience across such a massive environment is the focus of Walmart’s AI strategy, said Anshu Bhardwaj, senior vice president of tech strategy and commercialization at the retail giant.
At warehouse chain Sam’s Club, the membership model provides the company with huge amounts of data about what members are searching for, what they like, what they’re buying and when. “[Customers] are generating all these breadcrumbs about what they like and want and that’s allowing us to make the shopping experience better,” she said.
One way to do that is to make sure the items they want to buy are in stock. At Sam’s, that means staying on top of roughly 6,000 items stacked on shelves in warehouse stores that average 136,000 sq. feet.
Sam’s is using, of all things, floor scrubbers to do just that. As they travel around the stores, keeping floors clean and free of debris, they’re also capturing, in real time, images of every item in the store. These scrubbers (there’s one in each store) are equipped with inventory intelligence towers that take more than 20 million photos of everything on the shelves every day.
A Brain Corp. autonomous floor scrubber, called an Auto-C, cleans the aisle of a Walmart’s store. Sam’s Club completed the rollout of roughly 600 specialized scrubbers with inventory scan towers last October in a partnership Brain Corp.
Source: Walmart
“What this means is that I can distinguish Kellogg’s Froot Loops from Kellogg’s Frosted Flakes and the depth in which they’re stocked on the shelves,” explained Bhardwaj. “And if you think about a shelf, it doesn’t always have items in the front. They could be staked in the back and then there are shadows as well.”
This is where AI and machine learning comes in. She said the company has trained its algorithms to discern the different brands and their inventory positions, taking into account how much light there is or how deep the shelf is, with more than 95% accuracy. When a product gets to a pre-determined level, the stock room is automatically alerted so that the item is always available.
If there’s nothing in the stock room, but a delivery scheduled that day contains Kellogg’s products, the algorithm will tell an associate to take that Kellogg palette directly to the sales floor, rather than to the stock room. Bhardwaj said since deploying this AI last year, employee productivity has increased 15%.
“This is how we close the loop,” she said. “We never want to be out of stock on any item.”
AI is also powering the Walmart shopping app. For example, if a customer orders Pampers on the app, it can now recognize when this customer last ordered the product and whether the size is still appropriate.
Even though Walmart has been on its AI journey for years, the goal has remained the same, Bhardwaj said: Find better ways to figure out what the customer wants to buy and how best to get it to them. “AI is a way to make those decisions super easy for us,” she said. “That’s how I look at it.”
The goal is to create as little friction between what customers want and what they ultimately buy. “I hate shopping for things like milk and toilet paper,” Bhardwaj said. “We want to make the shopping experience for everyday items a no-brainer for our customers.”
Brian Armstrong, CEO of Coinbase, speaking on CNBC’s Squawk Box outside the World Economic Forum in Davos, Switzerland on Jan. 21st, 2025.
Gerry Miller | CNBC
Coinbase is joining the S&P 500, replacing Discover Financial Services in the benchmark index, according to a release on Monday. Shares of the crypto exchange jumped 8% in extended trading.
The change will take effect before trading on May 19. Discover is in the process of being acquired by Capital One Financial.
Since going public through a direct listing in 2021, Coinbase has become a bigger part of the U.S. financial system, with bitcoin soaring in value and large institutions gaining regulatory approval to create spot bitcoin exchange-traded funds.
Bitcoin spiked last week, topping $100,000 and nearing its record price reached in January.
However, Coinbase has been a particularly volatile stock and is trading well below its peak from late 2021. The shares closed on Monday at $207.22, giving the company a market cap of $53 billion. At its high, the stock traded at over $357.
Stocks added to the S&P 500 often rise in value because funds that track the S&P 500 will add it to their portfolios.
The index, which is heavily weighted towards tech because of the massive market caps of the industry’s heavyweights, continues to add companies from across the sector. In September, Dell and defense software provider Palantir were added to the S&P 500, following artificial intelligence server maker Super Micro Computer and security software vendor CrowdStrike earlier last year.
To join the S&P 500, a company must have reported a profit in its latest quarter and have cumulative profit over the four most recent quarters.
Coinbase last week reported net income of $65.6 million, or 24 cents a share, down from $1.18 billion, or $4.40 a share a year earlier, after accounting for the fair value of its crypto investments. Revenue rose 24% to $2.03 billion from $1.64 billion a year ago.
Also last week, Coinbase announced plans to buy Dubai-based Deribit, a major crypto derivatives exchange for $2.9 billion. The deal, which is the largest in the crypto industry to date, will help Coinbase broaden its footprint outside the U.S.
Coinbase shares are down 17% this year, underperforming bitcoin, which is now up about 10% over that stretch.
Perplexity AI is in late-stage talks to raise $500 million at a $14 billion valuation, a source familiar with the situation confirmed to CNBC Monday.
Accel, the Palo Alto-based venture capital firm, will lead the round, according to the source, who spoke anonymously because the round is not yet finalized. The Wall Street Journal first reported on the late-stage numbers.
The funding is on the lower end of Perplexity’s planned raise, which CNBC reported in March. During those early-stage talks, Perplexity was looking to raise between $500 million and $1 billion in funding at an $18 billion post-money valuation, per a source familiar.
Perplexity has just under $100 million in annual recurring revenue, or ARR, the source told CNBC in March.
Perplexity has been in the middle of the generative AI boom that began in late 2022 with the launch of OpenAI’s ChatGPT, and it’s betting big on its upcoming AI agent web browser, called Comet. But Perplexity faces increasing competition in the AI search market.
In March, Anthropic launched its web search product, allowing its chatbot Claude to display real-time search results to a subset of users.
Last fall, OpenAI launched a search feature within ChatGPT, its viral chatbot, that positioned it to better compete with Perplexity, as well as leading search engines such as Google and Microsoft‘s Bing.
Google has released AI Overviews within its search product as well, though it sparked controversy over high-profile errors soon after its release.
Apple CEO Tim Cook, center, watches during the inauguration ceremonies for President Donald Trump, right, and Vice President JD Vance, left, in the rotunda of the U.S. Capitol in Washington, Jan. 20, 2025.
Wall Street and Apple investors cheered the pause on Chinese tariffs. Apple stock was up 6% in trading on Monday, versus 3% for the Nasdaq.
“I spoke to Tim Cook this morning, and he’s going to, I think, even up his numbers,” Trump said in the Oval Office. “$500 billion, he’s going to be building a lot of plants in the United States for Apple. And we look forward to that.”
Apple previously said in February it would spend $500 billion to expand many of its operations in the U.S., including assembling AI servers in Houston.
Any cooling of a U.S.-China trade war is expected to boost Apple, which does the majority of its device production in the country, and also counts the region as its third-largest by sales.
Read more CNBC tech news
Still, it’s not clear how much Monday’s announcement immediately helped Apple.
In April, most of Apple’s most important products, such as smartphones and computers, received exemptions on some of the highest 145% tariffs, but there are still 30% tariffs on Chinese imports even after Sunday’s deal. Apple still faces 10% tariffs in some of its secondary production locations, such as India and Vietnam.
The Trump administration wants Apple to bring device production, including iPhone manufacturing, to the United States, a move that many experts believe would be unlikely and expensive.
Earlier this month, Cook told investors about the company’s tariff strategy on an earnings call. He said that Apple is currently sourcing American-bound products from production locations in Vietnam and India, but didn’t want to speculate beyond June, calling the situation “difficult to predict.”