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For years, Amazon has set the bar for package delivery. When Prime launched in 2005, two-day shipping was unheard of. By 2019, one-day shipping was standard for millions of items. Now, the retail giant is turning to generative AI to drive more same-day shipping.

Amazon is using the technology to optimize delivery routes, make more intelligent warehouse robots, create more-ergonomic environments for employees and better predict where to stock new items, said Steve Armato, Amazon’s vice president of transportation technology and services.

During an exclusive tour of Amazon’s largest California sort center, located in Tracy, Armato told CNBC that 60% of Prime orders in March were delivered the same day or next day in the top 60 metropolitan areas in the U.S. Amazon is betting on generative AI to increase that figure.  

“It seems subtle, but at this scale, getting just one more product in the right spot means that it’s shipping less distance when you order it,” Armato said in an interview at the warehouse.

In 2020, Amazon began developing models for demand forecasting and supply chain optimization using transformer architecture, the backbones of what we know today as generative AI. 

“Generative AI is the next big evolution in technology,” Armato said. “It’s remarkable, and we’re already applying it in very practical ways across our operations.”

But not all the changes that generative AI may bring to the e-commerce giant are positive. There are concerns about the high-energy needs of generative AI and about its ability to enable robots to replace Amazon’s human workforce, analysts told CNBC.

Robots and new roles 

The number of Amazon warehouse robots grew from 350,000 in 2021 to more than 750,000 in 2023, according to the company.

Amazon began adding AI transformer models to its warehouse delivery robots in 2022 so the machines can dash around each other more intelligently. CNBC watched hundreds of them move in a coordinated grid in the warehouse. Armato calls this “the dance floor.”

“Some of the two-day deliveries might stand aside, let the robot with a next-day delivery go on its mission first and take a straight line to its destination,” Armato said. 

Hundreds of robots dash around each other with the help of generative AI at Amazon’s largest California sort center in Tracy, California, July 31, 2024.

Lisa Setyon

While these robots navigate using a series of QR codes, Amazon’s next generation of drive units, called Proteus, are fully autonomous, the company said. 

“They’re using generative AI and computer vision to avoid obstacles and find the right place to stop,” Armato said. 

As part of the company’s AI strategy, Amazon in August struck a deal with AI startup Covariant. Amazon hired the startup’s founders and licensed its models that help robots handle a wider range of physical objects. Amazon is also developing a bipedal robot called Digit that can grasp and handle items in a humanoid way.

CNBC saw a row of 20 robotic “Robin” arms that use computer vision to determine how much pressure to use when picking up various package shapes and sizes. Amazon said generative AI teaches the arms how to handle products they’ve never seen before based on data from similar products in Amazon’s vast catalog.

A similar model is used to better assess damaged items and keep them from shipping out. Amazon’s AI is three times better at identifying damaged products than humans are, the company said.

Introducing more robotics with generative AI without replacing human workers is a balancing act for Amazon, said Tom Forte, senior equity analyst at the Maxim Group.

“How can they implement automation to improve efficiency and manage labor expenses, but how can they do it in a way that complements their use of humans and doesn’t replace them?” Forte said.

Rather than replacing workers, the robots are reducing the burden on employees and creating new roles, Armato said. Amazon said it plans to spend $1.2 billion to upskill more than 300,000 employees by the end of 2025 as generative AI and robotics change the company’s processes. 

“Someone needs to maintain [the robot] if it breaks down,” Armato said. “Or if something does get dropped on the dance floor, we have a process and special training to go clean that up. And so each of those creates new categories of jobs, some of which have higher earnings potential.”

Amazon has faced scrutiny in recent years over its workplace injury record, with federal citations for safety violations and a yearlong Senate probe that found that Amazon’s big annual sale, Prime Day, was a “major” cause of worker injuries. Amazon appealed the citations and said the report ignores progress it’s made. 

Many of Amazon’s robots move tall bins of items to workstations where employees pick and pack them, which reduces how much humans have to walk, Armato said. AI is also reducing the need for workers to reach and bend, he said.

“One algorithmic improvement is to take our faster-selling products and place those on the shelves at waist height,” Armato said. “That’s your ergonomic power zone.”

Robotic drive units bring tall stacks of items to workstations for picking and packing at an Amazon same-day center in Richmond, California, Aug. 31, 2024.

Katie Tarasov

Predicting orders and routes 

With all those robots and workers, Amazon delivered more than 2 billion items the same day or next day in the first quarter of 2024, according to the company.  

Amazon has always used algorithms to predict how much of what inventory is needed, when and where. The company said it’s using generative AI to predict where best to place items it hasn’t previously sold. 

“When we place a product in the right place ahead of time, before you click buy, it’s traveling less distance, which is a win for speed and sustainability,” Armato said.

Amazon Web Services has data centers filled with servers running AI workloads that give the company an edge over its retail rivals because it can train its AI in-house. As an early online-only retailer, Amazon got a head start on collecting mass aggregate data on shopping behavior and delivery logistics. Amazon is now using that trove of data to create AI models for use in everything from supply chain optimization to warehouse robotics, according to the company.

“It’s not that Walmart and Target and Costco and others don’t have their own reams of data, but they’re looking at things a little bit differently, and they have much older systems,” said Sucharita Kodali, retail analyst at Forrester Research.  

How eco-friendly generative AI will be in the long run is unclear. That’s because training and running generative AI is a carbon-intensive process, and by 2027, AI servers worldwide are projected to use as much power every year as Sweden or the Netherlands.  

That’s in conflict with Amazon’s 2019 commitment to reach net-zero carbon by 2040.

The company claims that the use of AI is helping cut down the carbon footprint of package delivery. Amazon is reducing carbon by using more than 20 machine learning models to improve mapping for its vast network of 390,000 delivery drivers, predicting road closures and choosing more efficient routes, the company said. 

Beyond its warehouses, Amazon has also introduced generative AI to help its sellers and shoppers.

The company’s new Amazon Personalize AI tool generates hyper-personalized product recommendations. Sellers can also use generative AI to write highly targeted product descriptions or generate images of their products in different “seasonal and lifestyle” settings

For shoppers, Amazon in 2023 began populating its website with AI-generated summaries of product reviews, and in February, the company launched a generative-AI powered conversational shopping assistant called Rufus. 

Additionally, Amazon said, it has invested $4 billion in AI startup Anthropic, which makes chatbot Claude, a competitor to OpenAI’s ChatGPT. Amazon also makes its own AI-focused microchips and its own generative AI tools for developers, which it also uses in operations, the company said.

Whether Amazon’s huge investment in generative AI will translate to profits remains an open question. 

“I have yet to see huge lift in anybody’s retail business due to generative AI, including Amazon,” Kodali said. “I think a lot of their biggest impact has happened because of the earlier investments, not necessarily some of these more recent investments.”

Watch the video for more on how Amazon is using AI.

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Palantir is soaring while its tech peers are sinking. Here’s why

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Palantir is soaring while its tech peers are sinking. Here's why

Alex Karp, chief executive officer of Palantir Technologies Inc., speaks during the AIPCon conference in Palo Alto, California, US, on March 13, 2025.

David Paul Morris | Bloomberg | Getty Images

Tech stocks have struggled in 2025, as recession and trade war fears sap investor appetite for riskier assets.

Palantir is the exception.

Against a volatile market backdrop, the software maker’s stock has gained 45% and is the best performer among companies valued at $5 billion or more, according to FactSet. The closest tech names are VeriSign, up 33%, Okta, up 30%, Robinhood, up 29%, and Uber, up 29%.

President Donald Trump‘s frenzy of government department overhauls is partially to thank for the pop.

“When you think about macroeconomic concerns, you as a company need to be more efficient, and this is where Palantir thrives,” said Bank of America analyst Mariana Pérez Mora.

Palantir has set itself apart in the software world for its artificial-intelligence-enabled tools, gaining recognition for its defense and software contracts with key U.S. government agencies, including the military. In the fourth quarter, its government revenues jumped 45% year-over-year to $343 million.

Read more CNBC tech news

Companies have faced immense volatility in 2025 as tariffs threaten to jeopardize global supply chains and halt day-to-day manufacturing operations by hiking costs. Those fears have brought the broad market index down about 7% this year, while the tech-heavy Nasdaq Composite has slumped 11%.

Tech’s megacap companies — Apple, Microsoft, Nvidia, Amazon, Alphabet, Meta and Tesla — are all down between 7% and 31% so far this year.

At the same time, the Trump administration has clamped down on government spending, giving Tesla CEO Elon Musk‘s Department of Government Efficiency freedom to slash public sector costs. Some administration officials have touted shifting dollars from consulting contracts to commercial software providers like Palantir, said William Blair analyst Louie DiPalma.

“Palantir’s business model is highly aligned with the priorities of the Trump administration in terms of increasing agility and being very quick to market,” he said.

That’s put Palantir in the league with major contractors such as Lockheed Martin and Northrop Grumman, which have outperformed in this year’s downdraft. Many companies in the space are also looking to partner with the firm and tend to flock to defense during recessionary times, DiPalma said.

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Palantir vs. the Nasdaq Composite

CEO Alex Karp has also been a vocal supporter of American innovation and the company’s central role in helping prop up what he called the “single best tech scene in the world” during an interview with CNBC earlier this year. Karp also told CNBC that the U.S. needs an “all-country effort” to compete against emerging adversaries.

But the ride for Palantir has been far from smooth, and shares have been susceptible to volatile swings. Shares sold off nearly 14% during the week that Trump first announced tariffs. Shares rocketed 22% one day in February on strong earnings.

Its inclusion in more passive and quant funds over the years and the growing attention of retail traders has added to that turbulence, DiPalma said. Last year, the company joined both the S&P and Nasdaq. Palantir trades at one of the highest price-to-earnings multiples in software and last traded at 185 times earnings over the next twelve months. That puts a steep bar on the stock.

“There really is no margin for error,” he said.

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NXP Semi shares sink on tariff concerns, CEO Kurt Sievers to step down

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NXP Semi shares sink on tariff concerns, CEO Kurt Sievers to step down

Kurt Sievers, chief executive officer of NXP Semiconductors NV, during the Federation of German Industries (BDI) conference in Berlin, Germany, on Monday, June 19, 2023.

Liesa Johannssen-Koppitz | Bloomberg | Getty Images

NXP Semiconductor Inc. fell about 8% on Monday after the chip company announced that CEO Kurt Sievers will step down as part of its latest earnings.

Here’s how the company did, versus LSEG consensus estimates:

  • Earnings per share: $2.64 adjusted vs. $2.58 expected
  • Revenue: $2.84 billion vs. $2.83 billion expected

Sievers will retire at the end of the year, with Rafael Sotomayor stepping in as president on April 28, 2025.

The company beat expectations on the top and bottom lines but cited a “challenging set of market conditions” looking forward.

“We are operating in a very uncertain environment influenced by tariffs with volatile direct and indirect effects,” Sievers said in an earnings release.

Sales in NXP’s first quarter declined 9% year over year.

The company posted $1.67 billion in auto sales during the first quarter, trailing analyst estimates of $1.69 billion.

Read more CNBC tech news

NXP Semi said that second-quarter sales would come in at a midpoint of $2.9 billion, ahead of the $2.87 billion that analysts were projecting. Second-quarter adjusted EPS will be $2.66, in line with analyst estimates.

The company logged first-quarter net income of $490 million, which was a 23% year-to-year drop from $639 million.

NXP’s net income per share was $1.92 compared to $2.47 during the same time a year ago. A drop of 22%.

This is breaking news. Please refresh for updates.

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Microsoft says U.S. can’t afford falling behind China in quantum computers

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Microsoft says U.S. can't afford falling behind China in quantum computers

Microsoft President Brad Smith speaks during signing ceremony of cooperation agreement between the Polish Ministry of Defence and Microsoft, in Warsaw, Poland, February 17, 2025.

Kacper Pempel | Reuters

The U.S. cannot afford to fall behind China in the race to a working quantum computer, Microsoft President Brad Smith wrote Monday.

President Donald Trump and the U.S. government need to prioritize funding for quantum research, or China could surpass the U.S., endangering economic competitiveness and security, Smith wrote.

“While most believe that the United States still holds the lead position, we cannot afford to rule out the possibility of a strategic surprise or that China may already be at parity with the United States,” Smith wrote. “Simply put, the United States cannot afford to fall behind, or worse, lose the race entirely.”

Microsoft’s position is the latest sign that research into quantum computing is starting to heat up among big tech companies and investors who are looking for the next technology that could rival the artificial intelligence boom.

Smith is calling for the Trump administration to increase funding for quantum research, renew the National Quantum Initiative Act and expand a program for testing quantum computers by the Defense Advanced Research Projects Agency, or DARPA. The Microsoft executive is also calling on the White House to expand the educational pipeline of people who have the math and science skills to work on quantum machines, fast-track immigration for Ph.D.s with quantum skills and for the government to buy more quantum-related computer parts to build a U.S. supply chain.

Microsoft did not detail how China surpassing the U.S. in quantum computing technology would endanger national security, but a National Security Agency official last year discussed what could happen if China or another adversary surprised the U.S. by building a quantum computer first.

The official, NSA Director of Research Gil Herrera, said that if such a “black swan” event happened, banks might not be able to keep transactions private because a quantum computer could crack their encryption, according to the Washington Times. A working quantum computer could also crack existing encrypted data that is usually shared publicly in a scrambled fashion, which could reveal secrets on U.S. nuclear weapon systems.

In February, Microsoft announced its latest quantum chip called Majorana, claiming that it invented a new kind of matter to develop the prototype device. Last year, Google announced Willow, a new device the company claimed was a “milestone” because it was able to correct errors and solve a math problem in five minutes that would have taken longer than the age of the universe on a traditional computer.

While the computers people are used to use bits that are either 0 or 1 to do calculations, quantum computers use “qubits,” which end up being on or off based on probability. Experts say that quantum computers will eventually be useful for problems with nearly infinite possibilities, such as simulating chemistry, or routing deliveries.

But the current quantum computers are far away from that point, and many computer industry participants say it could take decades for quantum computers to reach their potential.

Microsoft’s chip, Majorana, has eight qubits, but the company says it has a goal of least 1 million qubits for a commercially useful chip. Microsoft needs to build a device with a few hundred qubits before the company starts looking at whether it’s reliable enough for customers.

WATCH: How quantum computing could supercharge Google’s AI ambitions

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