Microsoft CEO Satya Nadella speaks at the company’s Ignite Spotlight event in Seoul on Nov. 15, 2022. Nadella gave a keynote speech at an event hosted by the company’s Korean unit.
SeongJoon Cho | Bloomberg | Getty Images
Microsoft is rolling out an unorthodox pricing model for its new security chatbot that becomes available to the public on April 1.
As part of a swarm of generative artificial intelligence announcements last year, Microsoft introduced a preview last March of Copilot for Security, which taps large language models to help cybersecurity professionals understand critical issues.
On Wednesday, Microsoft said it will use a consumption-based model, charging $4 per “security compute unit.” Andrew Conway, vice president of security marketing at Microsoft, said the types of prompts and summaries will vary dramatically in size, depending on the customer and type of workload.
“Customers can buy what they need, and that can easily be changed over time without friction,” Conway said in a statement.
Security is a significant business for Microsoft, accounting for more than $20 billion in revenue in 2022, making it larger than gaming or search advertising at the time. Gaming is now bigger with the acquisition late last year of Activision Blizzard.
Microsoft has broadly been working to add generative AI from OpenAI into Windows, Dynamics business applications and other products. Wall Street has been eager to see how Microsoft will be able to make money from AI after investing billions of dollars in OpenAI and AI-related data center equipment.
The pricing for Copilot for Security is designed to keep expenses low for organizations that experiment with the tool while scaling for power users. Microsoft considered input from early customers as well as the costs of tapping OpenAI’s LLMs that process users’ prompts, Vasu Jakkal, a corporate vice president at Microsoft, told CNBC.
Microsoft charges for use of its Azure OpenAI Service based on the number of tokens a client uses. Each token is equal to about four English characters.
It’s a much more convoluted pricing model than other Microsoft tools released of late, such as customer service and general productivity assistants. The Copilot for Microsoft 365 costs $30 per person per month for companies.
BP is an early customer of the new security service. Chip Calhoun, the company’s vice president of cyber defense, said in an email that, “Copilot has made us more efficient and helped us to find attack patterns that could easily be missed without specific use cases.”
Copilot for Security can answer questions by drawing on information from Microsoft’s own security products and third-party providers. It can explain security vulnerabilities, analyze scripts, answer questions about devices and summarize incidents.
Other security software companies dabbling in generative AI include CrowdStrike, which has a chatbot called Charlotte that costs $20 a year per device.
Cyberattacks are becoming a bigger threat by the day. Microsoft said in January that a Russian intelligence group had accessed some of its executives’ email accounts. Roku and UnitedHealth also said they were hit by attacks this year.
Microsoft CEO Satya Nadella said on the company’s most recent earnings call that the latest spate of cyberattacks “highlighted the urgent need for organizations to move even faster to protect themselves from cyberthreats.”
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.