Amazon is upgrading its decade-old Alexa voice assistant with generative artificial intelligence and plans to charge a monthly subscription fee to offset the cost of the technology, according to people with knowledge of Amazon’s plans.
The Seattle-based tech and retail giant will launch a more conversational version of Alexa later this year, potentially positioning it to better compete with new generative AI-powered chatbots from companies including Google and OpenAI, according to two sources familiar with the matter, who asked not to be named because the discussions were private. Amazon’s subscription for Alexa will not be included in the $139-per-year Prime offering, and Amazon has not yet nailed down the price point, one source said.
Amazon declined to comment on its plans for Alexa.
While Amazon wowed consumers with Alexa’s voice-driven tasks in 2014, its capabilities could seem old-fashioned amid recent leaps in artificial intelligence. Last week, OpenAI announced GPT-4o, with the capability for two-way conversations that can go significantly deeper than Alexa. For example, it can translate conversations into different languages in real time. Google launched a similar generative-AI-powered voice feature for Gemini.
Some interpreted last week’s announcements as a threat to Alexa and Siri, Apple‘s voice assistant feature for iPhones. NYU professor Scott Galloway called the updates the “Alexa and Siri killers” on his recent podcast. Many people use Alexa and Siri for basic tasks, such as setting timers or alarms and announcing the weather.
The development of new AI chatbots in recent months has increased the pressure internally on a division that was once seen as a darling of Amazon founder Jeff Bezos, according to the sources — but has been subject to strict profit imperatives since his departure.
Three former employees pointed to Bezos’ early obsession with Alexa, describing it as his passion project. Attention from Bezos resulted in more dollars and less pressure to make a return on those funds immediately.
That changed when Andy Jassy took over as CEO in 2021, according to three sources. Jassy was charged with rightsizing Amazon’s business during the pandemic, and Alexa became less of a priority internally, they said. Jassy has been privately underwhelmed with what modern-day Alexa is capable of, according to one person. The Alexa team worried they had invented an expensive alarm clock, weather machine and way to play Spotify music, one source said.
For instance, Jassy, an avid sports fan, asked the voice assistant the live score of a recent game, according to a person in the room, and was openly frustrated that Alexa didn’t know an answer that was so easy to find online.
When reached for comment, Amazon pointed to the company’s annual shareholder letter released last month. In it, Jassy mentioned that the company was building a “substantial number of GenAI applications across every Amazon consumer business,” adding that that included “an even more intelligent and capable Alexa.”
The team is now tasked with turning Alexa into a relevant device that holds up amid the new AI competition, and one that justifies the resources and headcount Amazon has dedicated to it. It has undergone a massive reorganization, with much of the team shifting to the artificial general intelligence, or AGI, team, according to three sources. Others pointed to bloat within Alexa, a team of thousands of employees.
As of 2023, Amazon said it had sold more than 500 million Alexa-enabled devices, giving the company a foothold with consumers.
Alexa, were you too early?
Apple, Amazon and Google were early movers with their voice assistants, which did employ AI. But the current wave of advanced generative AI enables much more creative, human-sounding interactions. Apple is expected to unveil a more conversational Siri at its annual developers conference in June, according to The New York Times.
Those who worked on the Alexa team describe it as a great idea that may have been too early, and that it’s going to be hard to turn the ship around.
There’s also the challenge of finding AI engineering talent, as OpenAI, Microsoft and Google recruit from the same pool of academics and tech talent. Plus, generative AI workloads are expensive thanks to the hardware and computing power required. One source estimated the cost of using generative AI in Alexa at 2 cents per query, and said a $20 price point was floated internally. Another suggested it would need to be in a single-digit dollar amount, which would undercut other subscription offerings. OpenAI’s ChatGPT charges $20 per month for its advanced models.
Still, they point to Alexa’s installed user base, with devices in hundreds of millions of homes, as an opportunity. Those who worked on Alexa say the fact that it’s already in people’s living rooms and kitchens makes the stakes higher, and mistakes more costly if Alexa doesn’t understand a command or provides unreliable information.
Amazon has been battling a perception that it’s behind in artificial intelligence. While it offers multiple AI models on Amazon Web Services, it does not have a leading large language model to unseat OpenAI, Google or Meta. Amazon spent $2.75 billion backing AI startup Anthropic, its largest venture investment in the company’s three-decade history. Google also has an Anthropic investment and partnership.
Amazon will use its own large language model, Titan, in the Alexa upgrade, according to a source.
Bezos is among those who have voiced concern that Amazon is behind in AI, according to two sources familiar with him. Bezos is still “very involved” in Amazon’s AI efforts, CNBC reported last week, and has been sending Amazon executives emails wondering why certain AI startups are picking other cloud providers over AWS.
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.