The most closely watched earnings report of the quarter is tomorrow. Thats when AI chipmaking giant Nvidia will announce its third-quarter results. Ahead of those results, Nvidia shares are currently down in Tuesday trading. But NVDA shares arent the only chip stock that is falling today.
Heres which other chip companies are seeing significant stock price declines today, and the likely reason why.
Chip stocks fall across the board
As of the time of this writing, major chipmaking giants and the companies that supply them are seeing their share prices fall. These include:
Advanced Micro Devices, Inc. (Nasdaq: AMD): down 5.6%
Arm Holdings plc (Nasdaq: ARM): down 3.9%
ASML Holding N.V. (Nasdaq: ASML): down 2.2%
Broadcom Inc. (Nasdaq: AVGO): down 1.7%
Intel Corporation (Nasdaq: INTC): down 2.8%
Micron Technology, Inc. (Nasdaq: MU): down 5.1%
NVIDIA Corporation (Nasdaq: NVDA): down 2.8%
QUALCOMM Incorporated (Nasdaq: QCOM): down 2.6%
Taiwan Semiconductor Manufacturing Company Limited (NYSE: TSM): down 2.6%
The fall in chip stocks is part of a broader decline across multiple markets today.
Currently, the S&P 500 is down 0.87%, the Dow is down 1%, and the tech-heavy Nasdaq is down 1.3%.
Perhaps the most significant driver behind today’s market falls is the growing fear that the tech sector is in an AI bubble, and that if that bubble pops, it could send shockwaves not just through the stock markets but also through the economy.
The impact of an AI bubble popping in the broader economy is part of the reason even non-AI-related stocks are down today.
In addition to chip companies, other major tech players are also seeing their shares sink this morning, especially those that have a considerable amount of exposure to AI, including Microsoft Corporation (Nasdaq: MSFT), down 2.5%; Amazon.com, Inc. (Nasdaq: AMZN), down 3.2%; Alphabet Inc. (Nasdaq: GOOG), down 1%; and Meta Platforms, Inc. (Nasdaq: META), down 2.4%.
Tech giants with more limited AI exposure, such as Apple, are trading relatively flat. Currently, shares in Apple Inc. (Nasdaq: AAPL) are up about a tenth of a percent.
Why are chip stocks in particular focus?
Chip stocks are being scrutinized by investors today for one key reason: AI chip giant Nvidia announces its third-quarter earnings for fiscal 2026 tomorrow. As Fast Company previously reported, investor expectations for those earnings are high.
Nvidia previously forecast revenue of between $52.9 billion and $55 billion for the quarter. But investor consensus estimates show that most investors expect Nvidia to come in on the high end of that spectrum. A series of consensus estimates shows that investors expect Nvidia to report revenue between $54.8 billion and $55.2 billion.
But, a little more than 24 hours before Nvidia reveals if it’s met investors expectations, Wall Street seems to be getting the jitters, as investors and the media increasingly question whether the AI bubble is about to burst.
It is likely that if Nvidia doesn’t hit the lofty expectations many expect, it will be taken as a sign that an AI bubble is upon us. The sell-off in chip stocks this morning is likely due to investors taking some profits in case Nvidia misses its estimates.
Given that Nvidia acts as a bellwether for other chip companies and the AI sector as a whole, it is no surprise that investor jitters ahead of Nvidias earnings are spilling over to the stocks of other chipmaking companies.
In his new book, Here Comes The Sun, author and activist Bill McKibben argues that were at a tipping point where solar and wind power is now cheaper to build and harness than fossil fuels. Because of that new economic reality, he argues renewable energy has the power to transform societyif only the U.S. government would listen.
McKibben, who also publishes a free Substack called The Crucial Years, came on the Most Innovative Companies podcast to talk about what Bill Gates is getting wrong about climate concerns, how solar became cheaper than fossil fuels, and the importance of mobilizing senior citizens in the fight against climate change through his organization Third Act.This interview has been edited and condensed for clarity.
In a recent blog post, Bill Gates downgraded climate concerns as an issue of importance. What do you think of his argument?
I’ve had a checkered relationship with Mr. Gates and [his views on] climate for some years. I reviewed his last book for the New York Times. He didn’t like my review, so he complained vociferously in Rolling Stone the next day in a long interview. The first thing to understand about Bill Gates is it’s not like he’s been all over this from the start. It took him until 2006, which was 18 years after Jim Hanson told us that the planet was heating up, to conclude that it was actually a real problem and not something that nature was going to solve by itself. Now he’s saying, “Let’s don’t worry too much about it because we should be working on other things instead.”
The best interpreter of his letter was of course the President of the United States who quite succinctly on Truth Social announced that Bill Gates says climate change is a hoax. It’s not quite what he said, but for all intents and purposes he might as well have. I’m afraid it’s because Mr. Gates’s empire at the moment dependslike all the other billionaireson sucking up to this guy.
Gates released his document the same day that Hurricane Melissa hit Jamaica with the highest wind speeds we’ve ever recorded, the kind of wind speed you can only get when you’ve dramatically increased the heat content of the ocean by warming the atmosphere. We don’t have a final number yet. We won’t for a long time. There’s parts of it people still haven’t really reached yet, but the insurance industry was estimating that it wiped out between 30% and 250% of Jamaica’s annual GDP. So let’s transpose that to the United States. That would be as if Hurricane Katrina, which did a $100 billion worth damage here, had done $9 trillion worth of damage here.
All in all, it’s just a way of saying that Gates is being silly here, especially because the most important tool that we have for rapid development in the developing worldthe quick rapid adoption of solar energyis also the thing that would be most useful for dealing with the climate.
Despite all those upsetting facts you just shared, in the intro to the book, you say that after decades of pessimism, you now see at least some room for optimism in the climate conversation. Why is that?
About five years ago, we crossed some invisible line where it became cheaper to produce energy from the sun and wind and batteries than from burning coal and gas and oil. I’ll note that that was the same year that Bill Gates published his last book explaining why there was a huge green premium because it was so expensive to [get energy from] sun and wind. He managed to miss what was happening.
That’s a really epochal moment for human civilization. Human beings have been setting things on fire for 700,000 years. Darwin said that language and fire were the two things that set our species apart. Now we don’t need the fire anymore. Fossil fuel combustion kills nine million people a year directly on this planet. About one in five deaths come from just from breathing in particles that lodge in your lungs. There are five million schoolchildren in New Delhi. Two and a half million of them have irreversible lung damage from breathing the air. And as long as we depend on fossil fuel, we’re in the pocket of the people who control the small deposits of these resources around the world. The king of Saudi Arabiagreat guyVladimir Putin, who has taken his winnings and launched a land war in Europe in the 21st century, and the CEO of Exxon. The last 36 months have seen a huge surge in clean energy. We’re getting a third more power from the sun this autumn than we were last autumn on this planet. We’ve hit that steep part of the S curve and we’ve got to keep it going.
When you were working on this book, did you also consider nuclear energy as an alternative to fossil fuel?
Nuclear power, I’ve got no real problem with. Everybody knows what the dangers are, but those dangers are considerably smaller than the dangers of overheating the planet. Maybe someday someone will make nuclear power at a price that allows us to do it with some speed and at some scale, but so far we’re not there.
And it’s hard because nuclear power has to compete with the very inexpensive power that you can get from the sun and the wind and the speed with which you can build those things. If you want to build yourself a data center and you need a power supply, [using] nuclear power is going to take you some years to build it.
The Chinese were building three gigawatts of solar panels a day in May. A gigawatt is the rough equivalent of a coal-fired power plant. So they were putting up one of those every eight hours. This stuff snaps together, it’s not hard.
If China is moving so quickly on solar, why is installing solar panels in the U.S. so expensive?
In most of the world, if you want solar panels on your roof, you call somebody on Monday and they’re there by Friday. Here, it’s a monthslong odyssey. We’ve got 15,000 municipalities. Each has their own building code. All of this is unnecessary.
The National Renewable Energy Lab gave us this nifty little tool calle the SolarAPP. A contractor can tap in the address where they’re putting up the solar panel and the equipment, and if the computer likes the match, it gives them an instant permit and they get to work on the roof. California, Maryland, and New Jersey have adopted this. When that kind of stuff really takes off, the results are amazing.
In Australia, 40% of homes have solar panels on their roof. The government in Australia announced that beginning next year they will have so much solar power in the afternoon that electricity will be free for all Australians for three hours every afternoon.
You said weve crossed this invisible line where solar became the cheapest form of energy on earth. How does this shift the economic argument for governments?
In the rest of the world? Absolutely. This work’s being pioneered in China. They’re the ones who are doing two-thirds of the clean energy installation around the world, and as a result, they’re now owning things like the world’s auto industry. This is especially good for the 80% of human beings who live in countries that have to import fossil fuel. When poor countries go into payments crises or have to have the IMF come in and structurally adjust their economies, it’s almost always because at least in part, they’ve had to pay huge amounts of foreign reserves in order to get the next tanker load full of oil to keep their economy sputtering along. Now they can go spend their money on Chinese solar panels, and after that point they’re not dependent on China anymore. They’re now dependent on the sun.
Generative AI takes an enormous amount of energy to power. How do you think about that in the context of this book?
Let’s stipulate for the moment that we don’t really know at the moment how much of that AI hype is a bubble and how much is real. But if you decided that you absolutely had to build lots of data centers very fast in order to stay ahead of China in this race, the easiest way to build them fast would be to use solar and wind. This is precisely what’s not happening right now.
At the moment, the Trump administration is all in on building data centers and all out on building cheap energy from the sun and the wind. The result is you’ve increased demand, constricted supply, and the price is going up. Americans are paying 10% more now for electricity than they did last year, and that’s just the beginning.
You founded nonprofit Third Act to organize people over 60 to fight climate change. Why is this demographic key to changing the conversation around climate activism?
If you look around for who has structural power, it’s really a lot of people with hairlines like mine. There are 70 million Americans over the age of 60. We punch above our weight politically because we all vote. We have lots of connections, lots of skills, and lots of time. And so it was an obvious thing to try.
Many people said, “This will never work because people become more conservative as they age.” I think this is not so true for this generation of old people. These are the people who were around when we started taking women seriously in public life, they saw the apex of the Civil Rights Movement. They were there for the first Earth Day in 1970 when 20 million Americans10% of the populationmarched in the biggest demonstration in American history. These are people who know that change is possible. We have it in our muscle memory.
We’ve got about a hundred thousand people around the country [that are part of Third Act], and great working groups in almost every state. They do incredible work of all kinds . . . lots of very mundane lobbying, letter writing. All of that is effective because politicians know that these people are going to be at the ballot box. As our democracy begins to flicker and falter, I think it’s particularly useful to have older people engaged in this work, because the one thing that young people can’t understand about Trump is how completely abnormal he is.
If nothing else, Americans, especially of my age, owe an enormous climate debt to the rest of the planet. If you’re 70 now, you’ve been alive to watch more than 80% of all the carbon that humans have ever produced be put into the atmosphere. And that made your life conspicuously easier. Now it’s making everybody but especially poor people’s lives conspicuously harder. So we’ve got some work to do.
Youve said there are two forces slowing the transition to renewables down. Those are inertia and vested interest. And I’m curious how should climate activism evolve to fight those two things?
We’ve talked a little bit about vested interest already. We have to win some elections. It would be a lot easier if we didn’t have things like Citizens United that allow the rich to toy with our political system. Inertia is also a big force. We do things somewhat slowly, sometimes for good economic reasons. It’s cheaper to make transitions slowly. You have to figure out ways to overcome that inertia to make it easy and exciting to do the right thing.
For technology adopters looking for the next big thing, agentic AI is the future. At least, that’s what the marketing pitches and tech industry T-shirts say.
What makes an artificial intelligence product agentic depends on who’s selling it. But the promise is usually that it’s a step beyond today’s generative AI chatbots.
Chatbots, however useful, are all talk and no action. They can answer questions, retrieve and summarize information, write papers, and generate images, music, video, and lines of code. AI agents, by contrast, are supposed to be able to take actions on a person’s behalf.
But if you’re confused, you’re not alone. Google searches for agentic have skyrocketed from near obscurity a year ago to a peak earlier this fall.
A new report Tuesday by researchers at the Massachusetts Institute of Technology and the Boston Consulting Group, who surveyed more than 2,000 business executives around the world, describes agentic AI as a new class of systems that can plan, act, and learn on their own.
They are not just tools to be operated or assistants waiting for instructions, says the MIT Sloan Management Review report. “Increasingly, they behave like autonomous teammates, capable of executing multistep processes and adapting as they go.
How to know if it’s an AI agent or just a fancy chatbot
AI chatbots such as the original ChatGPT that debuted three years ago this month rely on systems called large language models that predict the next word in a sentence based on the huge trove of human writings they’ve been trained on. They can sound remarkably human, especially when given a voice, but are effectively performing a kind of word completion.
That’s different from what AI developers including ChatGPT’s maker, OpenAI, and tech giants like Amazon, Google, IBM, Microsoft, and Salesforce have in mind for AI agents.
A generative AI-based chatbot will say, Here are the great ideas and then be done, said Swami Sivasubramanian, vice president of Agentic AI at Amazon Web Services, in an interview this week. Its useful, but what makes things agentic is that it goes beyond what a chatbot does.
Sivasubramanian, a longtime Amazon employee, took on his new role helping to lead work on AI agents in Amazon’s cloud computing division earlier this year. He sees great promise in AI systems that can be given a high-level goal and break it down into a series of steps and act upon them. I truly believe agentic AI is going to be one of the biggest transformations since the beginning of the cloud, he said.
For most consumers, the first encounters with AI agents could be in realms like online shopping. Set a budget and some preferences and AI agents can buy things or arrange travel bookings using your credit card. In the longer run, the hope is that they can do more complex tasks with access to your computer and a set of guidelines to follow.
Id love an agent that just looked at all my medical bills and explanations of benefits and figured out how to pay them, or another one that worked like a personal shield fighting off email spam and phishing attempts, said Thomas Dietterich, a professor emeritus at Oregon State University who has worked on developing AI assistants for decades.
Dietterich has some quibbles with certain companies using agentic to describe any action a computer might do, including just looking things up on the web, but he has no doubt that the technology has immense possibilities as AI systems are given the freedom and responsibility to refine goals and respond to changing conditions as they work on people’s behalf.
We can imagine a world in which there are thousands or millions of agents operating and they can form coalitions, Dietterich said. Can they form cartels? Would there be law enforcement (AI) agents?
Agentic is a trendy buzzword based on an older idea
Milind Tambe has been researching AI agents that work together for three decades, since the first International Conference on Multi-Agent Systems gathered in San Francisco in 1995. Tambe said he’s been amused by the sudden popularity of agentic as an adjective. Previously, the word describing something that has agency was mostly found in other academic fields, such as psychology or chemistry.
But computer scientists have been debating what an agent is for as long as Tambe has been studying them.
In the 1990s, people agreed that some software appeared more like an agent, and some felt less like an agent, and there was not a perfect dividing line, said Tambe, a professor at Harvard University. Nonetheless, it seemed useful to use the word agent to describe software or robotic entities acting autonomously in an environment, sensing the environment, reacting to it, planning, thinking.
The prominent AI researcher Andrew Ng, co-founder of online learning company Coursera, helped advocate for popularizing the adjective agentic more than a year ago to encompass a broader spectrum of AI tasks. At the time, he also appreciated that mainly technical people were describing it that way.
When I see an article that talks about agentic workflows, Im more likely to read it, since its less likely to be marketing fluff and more likely to have been written by someone who understands the technology, Ng wrote in a June 2024 blog post.
Ng didn’t respond to requests for comment on whether he still thinks that.
Matt O’Brien, AP technology writer
A widely used Internet infrastructure company said that it has resolved an issue that led to outages impacting users of everything from ChatGPT and the online game League of Legends,” to the New Jersey Transit system early Tuesday.
Around 10 a.m. ET, Cloudflare said it was continuing to monitor for errors to ensure all services are back to normal.
Other platforms that experienced outages Tuesday included the social media site X, Shopify, Dropbox, Coinbase, and the Moody’s credit ratings service. Moody’s website displayed an Error Code 500 and instructed individuals to visit Cloudflare’s website for more information.
New Jersey Transit said parts of its digital services including njtransit.com, may be temporarily unavailable or slow to load.
Cloudflare, based in San Francisco, provides internet infrastructure that protects websites from online threats and helps them run more smoothly.
Last month, Microsoft had to deploy a fix to address an outage of its Azure cloud portal that left users unable to access Office 365, Minecraft, and other services. The tech company wrote on its Azure status page that a configuration change to its Azure infrastructure caused the outage.
And Amazon experienced a massive outage of its cloud computing service in October. The company resolved the issue, but the outage took down a broad range of online services, including social media, gaming, food delivery, streaming, and financial platforms.
Michelle Chapman, AP business writer
Meta Platforms has been spending too aggressively on artificial intelligence (AI) infrastructure and that will affect the tech giant’s profitability, according to a new investor note from Wall Street analyst firm MoffettNathanson.
The note, published on Tuesday, points out that Metas stock price (Nasdaq: META) has fallen almost 20% over the past month or so, exacerbated by its most recent earnings results, which were released on October 29.
MoffettNathanson has been a staunch defender of the Facebook and Instagram parent company, even when its shares have dipped in the past. But on Tuesday, analysts at the firm wrote, we were obviously too complacent in our investment advice.”
Why is Meta spending so much on AI?
Meta along with fellow Big Tech firms including Amazon, Microsoft, and Google parent company Alphabet are in a high-stakes race to build out infrastructure and invest in the talent they see as necessary to compete in a world being transformed by generative AI.
However, investors and many experts have expressed concerns that we may be in an AI bubble similar to the one seen during the dotcom era. So the question is whether these investments will pay off in the long run.
To be crystal clear, we feel that this time is different and that defending the stock even at this level is harder because of the ramping of the massive incremental bet that Meta, without a cloud business or pre-existing enterprise assets, has been making in building out a Meta Superintelligence business, the note says. Given the outlook, the issue from here is that even with strong top-line expectations, Q4 and 2026 margins will likely compress.
In other words, MoffettNathansons team feels that Meta is overspending on AI, and it could come back to bite investors. Despite the relatively harsh words, the firm still rates Meta’s stock as a buy, though it has adjusted its price target, dropping it from $875 to $750.
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Meta, and much of tech overall, has significantly increased its capital expenditures in the wake of the AI revolution.
But according to the note, Meta is “trying to punch above its weight” when compared to its peers. Although the company is spending a similar amount on AI infrastructure, it does not have a cloud platform like Microsoft, Alphabet, and Amazon, the analysts point out.
MoffettNathanson projects that Meta’s capex-to-revenue ratio will hit 47% next year. By comparison, Microsofts is 29%, Alphabets is 26%, and Amazons is 16%, MoffettNathanson estimates.
Meta lacks a comparable coherent pathway for monetizing GenAI directly, the firm says.
Shares of Meta are trending downward this week along with the tech-heavy Nasdaq Composite as investors await tomorrow’s highly anticipated earnings report from AI chip giant Nvidia. Meta shares are down roughly 2% year to date.
At Microsofts Ignite conference on November 18, the company unveiled new AI-powered software features designed to make coders lives easierincluding a tool to automatically fix security issues as new vulnerabilities are discovered.
Over this past year, the nature of being a software engineer has really started to change, says Amanda Silver, corporate vice president and head of product for apps and agents at Microsoft. And our focus has been on tackling the most miserable, soul-draining parts of the job and really transforming them, so that developers can kind of bring joy back to their day-to-day lives.
One result of that effort is an AI offering, now in public preview, that combines the runtime application protection of Microsoft Defender for Cloud with GitHub Advanced Securitys protection for source code to spot and help fix a variety of security vulnerabilities. When Microsoft Defender for Cloud detects that an app on the Microsoft Azure cloud system has a security issue, perhaps based on information from a published vulnerability report, that knowledge can be channeled into Microsoft-owned GitHub, to help set up what’s called a security campaign. Thats a GitHub feature designed for a coordinated effort to tackle security holes. Once its set up, GitHubs AI Copilot Autofix tool can automatically suggest code changes to address the issue.
The developer doesn’t have to write the code to respond to the issue, Silver says. Rather, GitHub Copilot actually issues the pull request, and the developer just has to review and accept it.
Even when the problem is caused by a security flaw in third-party code, like an open-source library, Copilot can help in upgrading to a later edition of the library without the bug and help with code changes required for compatibility with the new version.
The announcement follows the May debut of Azure SRE Agent, another AI tool designed to spot and help analyze certain security issues and other problems, assisting engineers in quickly finding and fixing the causes of incidents affecting cloud systems. Its one of a number of AI tools recently released by various companies that can flag problems and help engineers comb through the often-voluminous log files generated by applications, operating systems, and other software to understand the root cause, ideally before an issue becomes urgent.
Nobody joined the industry because they want to be woken up in the middle of the night because they’re on a live site incident call, says Silver.
And for developers building software designed to itself integrate with artificial intelligence to process data or answer user questions, deciding which AI model is best suited for a particular task can be a complex question, particularly when considering factors like speed and cost as well as accuracy. To help address that challenge, Microsoft also on November 18 unveiled what it calls the Model Router in Azure AI Foundry, which automatically dispatches particular AI prompts to an appropriate model in real time as an app runs. Smaller (and cheaper) models can be used when theyll likely do the trick, while bigger and more costly models can be used for more complex scenarios, with reasoning models invoked for tasks requiring their skills.
Microsoft has also been working on ways to help businesses upgrade aging code and move older applications to the cloud. Its another notoriously tedious task that AI programming assistants like GitHub Copilot can help automate.
Internally, Microsoft reports, units including the Xbox team have used GitHub Copilot to help modernize code, at times dramatically cutting the developer effort required. And a new offering also unveiled November 18, called Managed Instance on Azure App Service, makes it easier for developers to move code to the cloud with fewer tweaks in the first place, by providing closer compatibility with older Microsoft software.
That, along with AI help in ultimately making further upgrades, should help stave off burnout as developers dodge the tedious tasks of getting aging code to run on todays cloud systems, Silver says.
No engineer really joined the industry to get assigned a months-long refactoring job of doing thankless migration work, Silver says. That’s the kind of developer toil that really quietly drains morale, and it burns out great teams and great engineers.
Growth in U.S. markets helped Swedish fintech firm Klarna to achieve a 26% jump in third-quarter revenue, beating expectations in its first report as a public company and forecasting revenue above $1 billion in the current quarter, the company said on Tuesday.
The buy now, pay later lender, which went public in September in New York, reported revenue of $903 million, beating analysts’ expectations of $882 million, according to data compiled by LSEG.
“To a large degree, AI is accelerating our ability to ship new features and products,” CEO Sebastian Siemiatkowski told Reuters.
Klarna had been an early adopter of AI and used the technology to help customers and merchants cut jobs, create marketing campaigns, and improve products.
However, Siemiatkowski expressed some nervousness about the huge spending on building data centres.
While there will be an uptick in demand for AI in both the consumer space and enterprises, there will be more compression of data in businesses, hitting future compute demand, he said.
Tech companies have announced massive spending plans this year for building data centres as they expect AI to fuel demand.
Klarna’s gross merchandise volume (GMV), a commonly used e-commerce metric for measuring sales, rose 23% to $32.7 billion in the quarter.
In the U.S., Klarnas largest market, GMV grew 43% and revenue rose 51%.
Active customers rose 32% to 114 million from a year ago.
The company, however, reported a net loss of $95 million, compared with a profit of $12 million in the year-ago period, which it said was partly due to a shift to U.S. accounting principles following its New York listing.
In the current quarter, the company expects revenue of $1.07 billion, compared with expectations of $1.06 billion.
Supantha Mukherjee, Reuters
The U.S. stock market is slipping again on Tuesday, following a global sell-off, as Nvidia, bitcoin and other Wall Street stars keep falling on worries that their prices shot too high. Home Depot is also dragging the market lower after saying it made less in profit during the summer than analysts expected.
The S&P 500 dipped 0.4%, following up on sharp swings the last couple weeks, and pulled further from its all-time high set late last month. The Dow Jones Industrial Average was down 373 points, or 0.8%, as of 9:35 a.m. Eastern time, and the Nasdaq composite was 0.6% lower.
The struggles are a sharp turnaround from the months of relentless rallying for the U.S. stock market since April, when it sold off after President Donald Trump shocked the world with stiff tariffs. That rally, though, was so strong that critics said it may have carried stock prices too high, too fast and left the market at risk of a sharp drop. They pointed in particular to stocks swept up in the mania around artificial-intelligence technology, which have been surging at spectacular speeds.
Many big investors still seem to be expecting stock prices to rise further, according to the latest monthly survey of global fund managers by Bank of America Global Research. But when asked what the No. 1 risk for the market is, one with a lower probability of happening but a high chance of damage, 45% pointed to an AI bubble. That beat out trouble in the bond market, inflation and trade wars.
The highest net percentage of investors in 20 years are also saying companies are overinvesting, according to the survey. The worry is that all the investment pouring into AI chips and data centers worldwide may not produce the kind of revolution that proponents have been predicting, or at least not as profitable a one.
Fervent demand for Nvidias AI chips have made it into Wall Streets most valuable stock, and it briefly topped $5 trillion in value after more than doubling in four of the past five years. But the chip companys 1.8% drop on Tuesday means its down 9.5% for the month so far.
Other high-flying areas of the market with their own evangelists have also been struggling lately. Bitcoins price briefly fell below $90,000 during the morning, down from nearly $125,000 last month.
Home Depot helped drag the market lower after falling 3.4%. It reported a weaker profit for the summer than analysts expected and cited a variety of reasons. Chief among them was a lack of storms, which would have driven customers to buy more home-improvement supplies. But CEO Ted Decker also pointed to consumer uncertainty and continued pressure in housing for preventing an expected increase in demand from happening.
Reporting stronger profits is one of the ways a company can make its stock price look less expensive, because stock prices tend to track with earnings over the long term.
Elsewhere on Wall Street, Cloudflare fell 2.8% after an issue at the internet infrastructure provider caused global outages for ChatGPT and other services.
In the bond market, Treasury yields eased. The yield on the 10-year Treasury sank to 4.10% from 4.13% late Monday.
In stock markets abroad, indexes tumbled across Europe and Asia, following up on Wall Streets losses on Monday.
Japans Nikkei 225 dropped 3.2% after feeling extra pressure from a jump in Japanese government bond yields, reflecting rising risks as Prime Minister Sanae Takaichi prepares to boost government spending and push back the timetable for bringing down Japans huge national debt.
South Koreas Kospi sank 3.3%, and Frances CAC 40 fell 1.8% for two of the larger drops worldwide.
Stan Choe, AP business writer
AP Business Writers Matt Ott and Elaine Kurtenbach contributed.
Roblox is stepping up its age verification system for users who want to privately message other players and implementing age-based chats so kids, teens, and adults will only be able to message people around their own age.
The moves come as the popular gaming platform continues to face criticism and lawsuits over child safety and a growing number of states and countries are implementing age verification laws.
The company had previously announced the age estimation tool, which is provided by a company called Persona, in July. It requires players to take a video selfie that will be used to estimate their age. Roblox says the videos are deleted after the age check is processed. Users are not required to submit a face scan to use the platform, only if they want to chat with other users.
Roblox doesnt allow kids under 13 to chat with other users outside of games unless they have explicit parental permissionand unlike different platforms, it does not encrypt private chat conversations, so it can monitor and moderate them.
While some experts have expressed caution about the reliability of facial age estimation tools, Matt Kaufman, chief safety officer at Roblox, said that between the ages of about five to 25, the system can accurately estimate a person’s age within one or two years.
But of course, theres always people who may be well outside of a traditional bell curve. And in those cases, if you disagree with the estimate that comes back, then you can provide an ID or use parental consent in order to correct that, he said.
After users go through the age checks, they will be assigned to age groups ranging from under nine, nine to 12, 13 to 15, 16 to 17, 18 to 20 and over 21. Users will then be able to chat with their age group or similar age groups, depending on their age and the type of chat.
Roblox said it will start enforcing age checks in Australia, New Zealand, and the Netherlands in the first week of December and the rest of the world in early January.
A growing number of tech companies are implementing verification systems to comply with regulations or ward off criticism that they are not protecting children. This includes Google, which recently started testing a new age-verification system for YouTube that relies on AI to differentiate between adults and minors based on their watch histories. Instagram is testing an AI system to determine if kids are lying about their ages.
Barbara Ortutay, AP technology writer
Home Depot‘s third-quarter was mixed with fewer violent storms reaching shore, more anxiety among U.S. consumers, and a housing market that is in a deep funk.
The company lowered its fiscal 2025 adjusted earnings forecast but raised its expectations for sales growth.
For the three months ended Nov. 2, Home Depot earned $3.6 billion, or $3.62 per share. A year earlier, it earned $3.65 billion, or $3.67 per share.
Removing one-time charges and benefits, earnings were $3.74 per share, a dime short of Wall Street expectations, according to a poll by FactSet.
It is the third consecutive quarter that Home Depot, an overperformer in recent years, has missed profit expectations.
Home Depot’s stock declined more than 3% before the opening bell Tuesday. Shares of rival Lowe’s, which will report its quarterly results on Wednesday, fell more than 2%.
Our results missed our expectations primarily due to the lack of storms in the third quarter, which resulted in greater than expected pressure in certain categories, CEO Ted Decker said in a statement. Additionally, while underlying demand in the business remained relatively stable sequentially, an expected increase in demand in the third quarter did not materialize. We believe that consumer uncertainty and continued pressure in housing are disproportionately impacting home improvement demand.
Revenue for the Atlanta company rose to $41.35 billion from $40.22 billion, topping Wall Street projections of $41.15 billion.
Sales at stores open at least a year, a key gauge of a retailers health, increased 0.2%. In the U.S., comparable store sales edged up 0.1%.
Customer transactions fell 1.4% in the quarter. The amount shoppers spent rose to $90.39 per average receipt from $88.65 in the year-ago period.
Neil Saunders, managing director of GlobalData, said that Home Depot’s quarter was negatively impacted by external factors, not missteps made by the company. Americans who have grown more anxious over the economy were were definitely a contributor, he said.
The summer months were particularly challenging in this regard as consumers were actively making choices over how to spend their money, and home improvement took something of a back seat to experiences, travel, and personal indulgences, he said.
Home Depot now anticipates fiscal 2025 adjusted earnings will decline approximately 5% from fiscal 2024s $15.24 per share. It previously expected adjusted earnings would fall about 2% from its results in the prior fiscal year.
The chain now foresees fiscal 2025 sales growth of about 3%. Its prior forecast was for sales growth of approximately 2.8%. The company predicts comparable sales growth will be slightly positive. Previously, it predicted comparable sales growth of about 1%.
In August, Home Depot said that shoppers should expect modest price increases in some categories as a result of rising tariff costs, though they wouldnt be broad-based. Company executives told analysts during its earnings call then that more than 50% of its products are sourced domestically and wouldnt be subject to any tariffs.
Home Depots results come as the U.S. housing slump drags on, with the countrys home turnover rate at the lowest level in decades. About 28 out of every 1,000 homes changed hands between January and September, the lowest U.S. home turnover rate going back to at least the 1990s, according to an analysis by Redfin.
The home turnover rate represents the number of homes sold, divided by the total number of existing sellable properties. While sales data show whether more or fewer homes are selling in a given period, the home turnover rate helps illustrate how homeowners are staying put longer.
The U.S. housing market has been in a slump dating back to 2022, the year mortgage rates began climbing from historic lows that fueled a homebuying frenzy at the start of this decade.
Michelle Chapman, AP business writer
