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Claude Personal Finance was introduced by the Dario Amodei-led AI giant Anthropic on Thursday. It is a specialised tool that has been integrated directly into Anthropic's AI chatbot. The AI giant claims that Claude Personal Finance allows users to manage their money matters better by providing insights. Users have to connect their financial accounts, allowing the specialised AI tool to retrieve information on their financial health. However, the company says that the Claude Personal Finance tool can not make changes on the user's behalf. The new Claude tool will be rolled out in beta to paid subscribers in select regions.
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Google DeepMind has introduced Gemini Omni 1.2 Flash. This latest video generation model introduces native 15-second video creation and new editing capabilities. Google says the new model brings a 30 percent price reduction compared to Gemini Omni 1.1. It lets users draft content at 360p or 720p for just $0.07 per second. It supports generating and editing continuous video clips up to 15 seconds long and enables Conversational Editing.
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After launching its AI assistant in September, Meta is back with another update which will now let users have real-time conversations. Called Muse Voice, the feature will work Meta's Muse Realtime Avatar to provide life-like conversations complete with gestures and expressions. The feature will only be available to users in the US and will be coming to other markets soon. The assistant was launched in the US in September but has made its way to Canada. However, it's not possible to access the AI assistant outside of these countries due to regional app store locking.
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Airbnb reported its third-quarter (Q3) 2026 financial results Thursday. Along with its financial health, the platform also shared its plans and products it plans to introduce soon. The company has revealed that it has started developing a dedicated AI agent that will help users plan their trips. Airbnb plans to start rolling out the AI travel agent next year. Airbnb says that its upcoming AI travel agent will use data from different travel-specific libraries. The company has already deployed an AI agent for customer support. The platform also features AI Search, AI Filters, AI Listing Descriptions, and AI Companion, with each tool offering a specific functionality.
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Companies are using more AI than ever, but they’re not spending more on it. A new report from Rampshows AI spending flatlined over late summer even as token volumes rose, a sign that price competition and savvier customers may be capping revenue for OpenAI and Anthropic. According to Ramp’s data, token spend only grew 1.5% across August and September. To compare, in July, it grew 42% from the previous month. As Anthropicgears up for its IPO, the data suggests investors might be wrong to assume AI companies will keep growing at breakneck speed. “Almost the entire spend on AI is from venture-backed, high-growth tech companies,” Ramp’s lead economist Ara Kharazian told TechCrunch. “That’s fine as long as AI spend continues to rise, but if it starts to slow down because of something in the market or some other factor, they will all start to slow down simultaneously, and that could lead to other cascading effects.” Kharazian said he’s already seeing evidence that the top 1% of firms — the most “AI-pilled” — have stuttered slightly in their spend in August and September, coming up just below the $10,000 per-employee they were hitting at their summer peaks. A slowdown among that cohort is “sufficient to slow down revenue entirely, despite the fact that we’re seeing rising volumes,” he said. Ramp data shows growth in spending among median and top 10%, but it’s not enough to make up the difference. Median firms spend $12-$15 per employee per month, and the top 10% spend $600-$1,000. “If you look at the use cases today, it’s not necessarily clear they will get up to that $10,000 per employee per month mark that the 1% is at,” Kharazian said. While there’s plenty of demand for AI coding agents in industries like software and finance, “it’s not necessarily true that a doctor’s office or a car dealership will need to spend that much on AI.” “Theera of hypergrowth may be over,and now that we know there may not be as much juice to squeeze out of the top 1%,” he continued. October data did see a re-acceleration, with token spend up 8.9% from September 23 to October 23, but Kharazian said the headwinds on spend growth are strong. Kharazian (who has published a series of blogs called “Cracks in the AI Thesis”) said the slowdown isn’t due to a demand problem. Again, AI volumes are up. Instead he points to the competitive nature of the marketplace. “OpenAI and Anthropic price cuts have…just made it cheaper to use AI,” he said. In September,OpenAI cut API pricesin half for GPT-6 Sol and GPT-6 Luna. Answering the price war, Anthropic has also made significant reductions to pricing for Fable 5.1 and Opus 5.5 — a decision that the company said in a recent filing slashed revenue growth by about $600 million. Both companies have also been offering enterprise discounts that are intended to lock-in spend, but in reality are hitting their revenue targets. Kharazian said this dynamic means it has very much become a buyer’s market. Subsidizing use of expensive technology in order to lock in customers has always been a part of the Big Tech playbook. Just recall how cheap it used to be to take an Uber or Lyft ride, and now that there are few other ride-hail players, the cost of going from A to B has risen significantly. Kharazian says those dynamics don’t work in the AI world because there’s just too much competition. “Meta and Nvidia are also introducing enterprise offerings with pretty cheap models or open source models,” Kharazian said. He also pointed to the range of other open model companies from China and the United States, as well as anew company called Jev— a lightweight tool for choosing between a few predetermined outputs — that is increasinglyamong the top performerson Ramp. “For a lot of AI use cases, you just need a simple Yes/No,” Kharazian said. “So you take your already cheap models, you shift them over to Jev, and now your already cheap stuff gets even cheaper.” The ability to complete workloads at a much cheaper cost is another factor driving the spending slowdown. That’s partly due to the discounts from AI companies, but also because companies are just getting better at being thrifty. “As you get really advanced in using AI, you get better at figuring out how to control it,” Kharazian said. “You’re more likely to use defaults that prevent usage of very expensive models for long-running tasks. You’re more likely to impose some budgets on employees. You’re more likely to offload some of the spend from standard and light models to even cheaper light models via routers.” Notion co-founder Akshay Kothari recently posted internal data that matched Ramp’s insights. As he succinctly put it: “tokens go brrr. costs go ahhh.” tokens go brrrcosts go ahhhpic.twitter.com/1whCWCJCyM “Alot of the assumptions that we had about the trajectory of AI spend are starting to break down,” Kharazian said. “You can use more AI, but use it for less. That’s great for the customers…but it’s not necessarily great for the model companies. And it does introduce new questions around their revenue trajectories.” Bloomberg reported Friday thatAnthropic’s potential valuationsank from the $2 trillion estimated in early October to just $1.2 to $1.3 trillion. The company is also reportedly expected to receive ahigh “junk” ratingfrom credit agencies.OpenAI also lowered its proposedvaluation to $1.25 trillion from $1.4 trillion and slashed its latest fundraising goals by about $10 billion. Kharazian says Ramp’s dataset likely informs many investor concerns. There is, however, one potential brightside for spending trajectories, albeit a speculative one. Much of the thesis for hypergrowth spending is that AI will undoubtedly introduce new use cases that will accelerate things. AI coding emerged just a year and a half ago as the most commercially viable product that has led Anthropic and OpenAI to becoming trillion-dollar companies. The hope among investors is that there will be another revolution that will drive further spend. Some think personal agents will be the next coding agents.OpenAI,SpaceXAI, andMetahave all released their own personal agents, alongside startups likeInstinct. Kharazian is skeptical, though, that personal agents, which are “not as economically productive as coding,” will provide the boost the industry needs for nonstop growth. “The projection is that there will be new products being introduced that will drive further growth,” Kharazian said. “But based on what we can observe today and the products available and what is commercially advanced, AI spend has started to slow down.”
Loading the player… Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a major talking point, with newly-elected Democratic governors and congressmemberslikely to support additional regulation. On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha discuss what the election will mean for the tech industry moving forward — not just when it comes to data centers (whichOpenAI is already trying to rebrand), but also increased government scrutiny of Big Tech. Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a major talking point, with newly-elected Democratic governors and congressmemberslikely to support additional regulation. On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha discuss what the election will mean for the tech industry moving forward — not just when it comes to data centers (whichOpenAI is already trying to rebrand), but also increased government scrutiny of Big Tech. Listen to the full episode to hear more about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Meta recently launchedits Muse agents— a new generation of cuddly agentic helpers. Now, the company has launched Spaces, a new way to communicate and collaborate with them. As far as I can tell, Spaces are basically breakout conversations that revolve around a particular topic — although Meta refers to them as “custom experiences.” They live in the sidebar of the interface where you interact with your Muse agent. Clicking on the Space brings up the conversation, where Muse works toward a particular goal on your behalf. For instance, if you wanted to plan a vacation, you could open a new Space focused on that particular project, and whenever you want to work on it with Muse, you would click to open that particular tab. Or, if you’re focused on collecting recipes for an upcoming family event, you’d open a new Space for that particular project. Other examples Meta gives are a holiday gift tracker, a wedding planner, or a space for DIY projects. “Describe an idea in chat, and Muse builds a space for you, whether that’s a tracker, a planner or a project board,” Meta says. Spaces can also be easily integrated with third-party apps and information, Meta says. “Connect the apps you use, and your spaces keep themselves up to date in the background, so new concert dates, price changes, or savings progress show up without you having to ask,” the company says. On Friday, Mark Zuckerberg, Meta’s founder and CEO,postedabout the new feature on X: “Playing around with spaces in Muse lately — tell Muse what you need and it builds it. I’ve made a BBQ game, an event tracker, and a home control dashboard. Excited to see what you build.” Muse agents — and the cuddly avatars that enclose them — have been greeted with a relatively warm reception over the past few months. During its earnings call in October,Zuckerberg said thatits agents had 10 million users in the U.S. and Canada — less than two months after the agents debuted. The company is obviously busy building out the user experience around the agents. Spaces is actually the second new Muse feature that Meta has debuted over the last week. On Thursday, the company alsoannounced Muse Voice, which allows users to video chat with their agent and give it commands verbally. The company is in competition with other cute and cuddly AI agents — includingOpenAI’s dotsand SpaceXAI’sGrokbot, which were debuted with similarly cartoonish personas.
Security researchers have discovered hundreds of copies of a Chinese-made AI hacking tool publicly exposed to the internet for anyone to access, potentially allowing outsiders to launch cyberattacks against unsuspecting targets. The hacking software, called Artex, is an open source autonomous penetration testing tool, meaning software that automatically probes computer systems for weaknesses, and it’s been linked to several cyberattacks since its public release in July. As open source software, it’s free for anyone to download and run on their own servers, making it a popular tool for those who cannot access Anthropic or OpenAI’smost advanced cybersecurity AI modelsfor discovering security vulnerabilities. Microsoft haspreviously describedArtex as a system of AI agents that can conduct cyberattacks “from reconnaissance through data exfiltration with little needed human interaction.” In ablog post, cybersecurity firm Censys, which scans the internet for exposed or vulnerable systems, said that it identified more than 800 distinct deployments of Artex that were accessible from the web without needing a password to log in. Silas Cutler, principal security researcher at Censys who wrote the blog post, said that not every instance of Artex is operated maliciously and many are used for authorized testers. But it’s unclear why hundreds of these Artex systems are exposed to the web, as the software does not require them to be accessible from the internet. The findings underscore how even powerful hacking tools can be misconfigured to be publicly accessible by anyone, increasing the chance that someone will find and misuse them. The publicly accessible systems also expose attack tools, such as implants (hidden malicious software) used to compromise and maintain persistent access to a victim’s network. Security companies have linked the use of Artex to several broad-scale cyberattacks, includingagainst the Korean finance industry in September. Cybersecurity giant CrowdStrike attributed the attacks to a Chinese-speaking hacker who used an Artex instance in the attacks, in part because the hacker had left an “open directory” hosting the system. Censys said that its data showed the Artex instance in question had been publicly exposed for months, and appeared to contain more attack data that extended “well beyond South Korean banks,” including payment and gaming companies. Artex was also used in an attack on IT support giant ConnectWiseearlier in October, which allowed Chinese-linked hackers to spy on thousands of organizations whose data and files are hosted in Microsoft’s cloud. Microsoft, which has visibility into the attack, said in a blog post that the hackers used Artex to break into customers’ cloud environments and steal their data at such speed that defenders had “little time to detect and respond.” Many of the attacks linked to Artex involved exploiting simple vulnerabilities, such as guessing weak or known passwords, and a lack of multi-factor authentication. The findings show that simple vulnerabilities, including misconfigurations, can expose both the attacker and their targets. Artex has since announced it would go closed-source, effectively limiting further releases for paid customers. There are still dozens of copies of Artex’s code available on code-sharing sites that can still be used in active attacks.
OpenAI has reportedly raised $11 billion so far in a new funding round that values the AI lab at $1.25 trillion. Bloombergreported onthe new funding on Friday, citing sources familiar with the matter. The $11 billion is part of a larger funding round that hasn’t closed yet, according to the outlet. The round is expected to close in the coming weeks and could total about $20 billion, a source told Bloomberg. In late September, Bloombergreportedthat OpenAI was looking to raise $30 billion in the upcoming round. The current figures fall well short of that target. TechCrunch has reached out to OpenAI for comment and will update this story if it responds. The news comes only hours after Bloombergalso reportedthat potential buyers of shares in the IPO of OpenAI’s chief competitor, Anthropic, are eyeing a substantially lower valuation than Anthropic had targeted. Bloomberg writes that some potential buyers believe Anthropic’s valuation could be as low as $1.1 trillion, compared with the$2 trillionthat investors were said to be expecting roughly a month ago. OpenAI previously intimated that it would go public this year but subsequently delayed its plans. There are expectations that the companywill IPO next yearat some point. The market for AI hangs in a particularly precarious place. The Democratic landslide in the U.S. midterms — and overwhelmingly negative voter sentiment around data centers — hascaused jitters throughout the market, with many anticipating potential regulatory challenges in the future.
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Crusoe, an eight-year-old, Denver-based data center developer recently valued at$30.9 billion,confirmedFriday it has sold an unfinished data center project in southeastern Wyoming to Google. Google, which Crusoe had tried and failed to land as a customer for the project, is taking over the development after reportedly raising concerns about its cost and construction timeline under Crusoe’s management. Crusoe initially announced the project last year with Blackstone-backed infrastructure company Tallgrass, planning to eventually scale it to 10 gigawatts of power capacity. Google did not disclose how much it paid Crusoe for the unfinished project, but it announced plans toinvest $17 billionto develop the data center campus. The deal highlights how difficult it can be for independent data center developers to deliver massive projects on time and within budget, given the challenges of securing equipment and power. Growing opposition from local communities can further complicate development. Despite taking over the Wyoming facility, Google hasn’t walked away from working with Crusoe entirely. Crusoe is developinganother datacenter for Google near Amarillo, Texas. The deal to sell the site to Google was first reportedby Bloombergin June, but the Wyoming setback didn’t stop Crusoe from raising a$3.9 billion roundin September. Crusoe makes money by leasing data center space to customers that bring their own GPUs, by renting out its own GPUs, and by selling compute power used to run AI models, known as inference. Crusoe’s largest projects serve some of the biggest names in AI. Its campus in Abilene, Texas, is being built in phases for Oracle and OpenAI, and the company is also constructing a separate 900-megawatt campus next door for Microsoft, with its first building expected to come online in mid-2027. Meta is also a customer, and Bloomberg reported that the trading firm Jane Street signed a$13 billion, five-year cloud deal with Crusoe. Crusoe was founded by Chase Lochmiller, now its CEO, and Cully Cavness, who started it as a cryptocurrency-mining business powered by natural gas that would otherwise have been burned off. In September, alongside its $3.9 billion funding round, the company addedthree board members, including JB Straubel, the Redwood Materials founder and Tesla board member who invested in Crusoe in 2021. Crusoe later became the first customer of Straubel’s energy-storage business.
A memo circulated earlier this year claimed that technology executive Alice Huang was recruited by China’s Ministry of State Security to spy on Nvidia CEO Jensen Huang, according to multiple media reports. The New York Times, which had previously said Nvidia’s chief executive had been the target of Chinese intelligence, wasthe first to report on the memo.The Financial Times subsequently reportedthat the memo — supposedly based on U.S. intelligence — also claimed Jensen Huang had a romantic relationship with Alice Huang, an executive at a Singapore-based company called Megaspeed. An Nvidia spokesperson told the NYT that Jensen Huang’s interactions with Alice Huang were “not unusual,” and that the company does not share classified information with its customers. Aseparate NYT reportexamined New Matrix, a Chinese company authorized by the U.S. Commerce Department to buy advanced Nvidia chips. At the office address listed by New Matrix, reporters only found “a hollow gray shell,” raising concerns that it could be a front for a blacklisted private equity firm. The Nvidia spokesperson said the company sells “the first, best and most of our technology in America.”
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