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.”
For Cameron Pappas, owner of Norton’s Florist in Birmingham, Alabama, the artificial intelligence boom is a world away.
While companies like Nvidia, Alphabet and Broadcom are lifting the stock market to fresh highs and bolstering GDP, Pappas is experiencing what’s happening in the real economy, one that’s far removed from Wall Street and Silicon Valley.
Small businesses like Norton’s, and companies of all sizes in retail, construction and hospitality, are struggling from higher costs brought by the Trump administration’s sweeping tariffs, and as downbeat consumers reduce their spending.
“We’ve just got an eagle eye on all of our costs,” Pappas, 36, told CNBC in an interview.
Norton’s generated $4 million in revenue last year, selling flowers, plants and gifts to locals. To avoid raising prices, which could cause customers to flee, Pappas has been forced to get creative, reworking some of his designs.
“If a bouquet has 25 stems in it, if you reduce that by three to four stems, then you’re able to keep the price the same,” Pappas said. “It’s really forced us to focus on that and to make sure that we’re pricing things the best that we possibly can.”
Pappas’ story and many like it are being masked in the macro data by the power of AI. In the first half of the year, AI-related capital expenditures contributed to 1.1% of GDP growth, according to a September report from JPMorgan Chase. That spending outpaced the U.S. consumer “as an engine of expansion,” the report said.
Total U.S. GDP increased at an annual rate of 3.8% during the second quarter of 2025 after falling 0.5% in the first quarter, the Commerce Department said.
U.S. manufacturing spending has contracted for seven straight months, according to the Institute for Supply Management. And construction spending has been flat to down, due to high interest rates and rising costs. Cushman & Wakefield said in a report this month that total project costs for construction in the fourth quarter will be up 4.6% from a year earlier because of tariffs on building materials.
The stock market shows a similar disconnect between AI and everybody else.
Nvidia CEO Jensen Huang delivers the keynote for the Nvidia GPU Technology Conference (GTC) at the SAP Center in San Jose, California, U.S. March 18, 2025.
Brittany Hosea-Small | Reuters
Eight tech companies are valued at $1 trillion or more and, to varying degrees, are all tied to AI. Those companies — Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, Tesla and Broadcom — make up about 37% of the S&P 500. Nvidia, with a $4.5 trillion market cap, accounts for over 7% of the benchmark’s value by itself.
Investors are giddy about the massive investments they’re seeing in AI infrastructure. Broadcom shares are up more than 50% this year after more than doubling in each of the prior two years, while Nvidia and Alphabet have jumped almost 40% in 2025.
That explains why the S&P 500 and Nasdaq are up 15% and 20%, respectively, reaching record highs on Friday, even as the government shutdown continues to cause economic angst.
Meanwhile, the S&P 500 subgroups that include consumer discretionary and consumer staples companies have increased by less than 5% year to date.
The latest troubling sign in the consumer market came on Thursday, when Target said it’s cutting 1,800 corporate jobs — the retailer’s first major round of layoffs in a decade. Target shares have plunged 30% this year.
“I think the message that the AI economy is sort of driving up the GDP numbers is a correct one,” Arun Sundararajan, a professor at New York University’s Stern School of Business, told CNBC in an interview. “There may be weakness in the rest of the economy, or not weakness, but there may be more modest growth.”
Investors will hear all about AI in the coming days, the busiest stretch of the quarter for tech earnings, and will be listening closely for additional guidance on capital expenditures. Meta, Microsoft and Alphabet report on Wednesday, followed by Apple and Amazon on Thursday.
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Nvidia’s stock over the last year.
Last month, Nvidia announced a $100 billion investment in OpenAI, a startup valued at $500 billion. The capital will help OpenAI deploy at least 10 gigawatts of Nvidia systems, which is roughly equivalent to the annual power consumption of 8 million U.S. households.
Shares of Advanced Micro Devices have doubled this year and soared more than 20% earlier this month after the chipmaker announced a deal with OpenAI, while Oracle has been on a tear of late due to its ties to OpenAI and the broader infrastructure buildouts.
“Are we sort of inflating the economy now, thereby setting ourselves up for a crash in the future?” Sundararajan said. He added that he’s not seeing signs that demand for AI infrastructure will slow anytime soon.
‘Tariff price management’
When it comes to local businesses, most only know about the AI gold rush from the news headlines. One in four small business owners are stuck in “survival mode” as they contend with challenges like rising costs and tariffs, according to a September KeyBank Survey. It’s a segment of the economy that routinely accounts for about 40% of the nation’s GDP.
Pappas’ flower shop was founded in 1921, and purchased by his dad in 2002. The business has survived the Great Depression, World War II and the Covid pandemic. Pappas said his father, who died in 2022, reminded him that these periods were “just another season” for Norton’s, and that such challenges come with the territory.
But Trump’s tariffs have created a whole new set of constraints, as roughly 80% of all cut flowers in the U.S. are imported from countries like Colombia and Ecuador, according to the U.S. Department of Agriculture.
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There’s no way for Norton’s to avoid higher import costs, but Pappas said he’s started buying some flowers directly from South American growers, which saves him money versus going through distributors that charge extra.
Pappas said it’s part of his “tariff price management” effort.
Trump’s tariffs will cost global businesses more than $1.2 trillion this year, and most of those costs are being passed onto consumers, according to S&P Global.
With the holiday season rapidly approaching, consumer sentiment is of particular importance. The picture is bleak.
The majority of U.S. consumers, 57%, that responded to a Deloitte survey published this month said they expect the economy to weaken in the year ahead, up from 30% a year ago. It’sthe most negative outlook since the consulting firm began tracking sentiment in 1997.
Gen Z consumers, which the survey defined as ages 18 to 28, said they plan to spend an average of 34% less this holiday season compared to last year. Millennials, those between 29 and 44, said they expect to spend an average of 13% less this holiday season.
Additionally, seasonal hiring in the retail industry is poised to fall to its lowest level since the 2009 recession, according to a September report from job placement firm Challenger, Gray & Christmas.
The firm released another report earlier this month that showed new hiring in the U.S. has totaled just under 205,000 so far this year, off 58% from the same period last year.
The Starbucks logo is displayed in the window of a Starbucks Coffee shop on Sept. 25, 2025 in San Francisco, California.
Justin Sullivan | Getty Images
Starbucks announced a $1 billion restructuring plan in September that involves closing several stores in North America. Around 900 nonretail employees were laid off as part of the plan, and the company let go of another 1,100 corporate workers earlier this year.
Starbucks shares are down about 6% this year.
Shares of Wyndham Hotels & Resorts slumped on Thursday after the hotel chain issued disappointing third-quarter results. CEO Geoff Ballotti cited a “challenging macro backdrop” in the company’s earnings release. The stock is down roughly 25% year to date.
Even in parts of the tech industry that have benefited the most from the AI boom, companies have been conducting layoffs. Microsoft announced plans to cut around 9,000 jobs in July, which the company partly attributed to reducing layers of management. Salesforce is one of a number of tech companies that have announced layoffs, saying that AI can now handle the work.
But Hatim Rahman, an associate professor specializing in AI at Northwestern University’s Kellogg School of Management, said that most businesses using AI for efficiencies won’t find them right away. So companies can’t count on the technology to counter declining revenue and, Rahman said, “the road to the future is going to be bumpy.”
“AI is not a plug-and-play solution,” Rahman said. “For many organizations, it’s going to involve engagement with people, processes, culture, tools to be able to reap the benefits. And in the aggregate, it’s going to take time.”
“Supply constrained,” are the two of the most important words CNBC’s Jim Cramer said he’s heard so far during earnings season and explained why this dynamic is favorable for companies.
“When you’re supplied constrained, you have the ability to raise prices, and that’s the holy grail in any industry,” he said.
Intel‘s strong earnings results were in part because of more demand than supply, Cramer suggested. He noted that the company’s CFO, David Zinsner, said the semiconductor maker is supply constrained for a number of products, and that “industry supply has tightened materially.”
Along with Intel, other tech names that are also supply constrained and performing well on the market include Micron, AMD and Nvidia, Cramer continued.
These companies don’t have enough product in part because the storage needs of artificial intelligence are incredible high, Cramer said. He added that he thinks demand has overwhelmed supply because semiconductor capital equipment companies didn’t manufacture enough of their own machines as they simply didn’t anticipate such a volume of orders.
Outside of tech, Cramer said he thinks airplane maker Boeing and energy company GE Vernova are also supply constrained, adding that he thinks the former will say it’s short on most of its planes when it reports earnings next week. GE Vernova is supply constrained with its power equipment, like turbines that burn natural gas, he continued, which is the primary energy source for the ever-growing crop of data centers.
GE Vernova and Boeing are also set to be winners because they make big-ticket items that other countries can buy from the U.S. to help close the trade deficit, Cramer added.
“In the end, we have more demand than supply in a host of industries and that’s the ticket for good stock performance,” he said. “I don’t see that changing any time soon.”
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Disclaimer The CNBC Investing Club holds shares of Nvidia and GE Vernova.
Intel snapped a losing streak of six straight quarterly losses and returned to profitability in the third quarter.
In its first earnings report since the Trump administration acquired a 10% stake in the company, the U.S. chipmaker posted strong revenue, noting robust demand for chips that it expects to continue into 2026.
Client computing revenue, which includes chips for PCs and laptops, grew 5% year over year, benefiting from PC market stabilization and artificial intelligence PC prospects.
CEO Lip-Bu Tan said in a call with analysts Thursday that artificial intelligence “is a strong foundation for sustainable long-term growth as we execute.”
The chip strength and demand were bright spots, but there were areas of concern as well, with the company’s foundry business still needing a big break.
Here are three takeaways from the chipmaker’s Q3 report:
Cash flow
“We significantly improved our cash position and liquidity in Q3, a key focus for me since becoming CEO in March,” Tan said on a call with analysts Thursday.
Intel landed an $8.9 billion investment from the U.S. government in August, along with $2 billion from Softbank, but has not yet received the $5 billion tied to a deal with Nvidia. The company expects that deal to close by the end of Q4.
With all of those transactions completed, plus the Altera sale, Intel will have $35 billion in cash on hand, CFO David Zinser told CNBC.
The U.S. government is the company’s biggest shareholder, and Intel stock is up more than 50% since Aug. 22, when Commerce Secretary Howard Lutnick announced the deal.
“Like any shareholder, we have to keep in touch with them,” Zinser said of the U.S. stake. “We don’t tell them how the numbers are going before the quarter. We generally talk to them like Fidelity,” another Intel shareholder.
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Intel 3-month stock chart.
Foundry
The firm’s foundry remains a work in progress.
Revenue fell 2% over the year before, and it has yet to land a major customer.
Intel now has two fabs running 18A nodes, which are designed for AI and high-performance computing applications.
“We are making steady progress on Intel 18A,” Tan said of its latest chip technology. “We are on track to bring Panther Lake to market this year.”
Zinser said the more advanced 14A nodes won’t be put in supply until the company has “real firm demand.”
Old stuff still selling
Zinser said the company’s older chipmaking processes, or nodes, have continued to do well, “and that was probably the part that was more unexpected.”
Zinser said the chipmaker met some of the central processing unit (CPU) demand with inventory on hand, but they will be behind in Q1, “probably Q2 and maybe in Q3.”
The supply crunch has been with older Intel 10 and 7 manufacturing technologies.
Many customers are opting for less advanced hardware to refresh their operating systems, demonstrating enterprises aren’t waiting for cutting-edge chips when proven technology gets the job done.