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Anthropic can finally start cutting checks to a group of authors and book publishers that sued the AI lab over copyright infringement. A federal judge gave final approval Monday of Anthropic's landmark $1.5 billion settlement of a class action copyright lawsuit, Reuters reported. Judge William Alsup of the U.S. District Court for the Northern District of California issued a preliminary approval of the settlement last year, after ruling that Anthropic had illegally downloaded and stored millions of copyrighted books. Alsup has since retired and Judge Araceli Martinez-Olguin signed off on the settlement on Monday. The payout will deliver $3,000 per work across an estimated 500,000 works, shared among the authors and publishers who hold rights to them. While the settlement is believed to be the largest in the history of U.S. copyright law, many authors and creators still don't view it as a win. That's because of how the legal question was resolved. Alsup sided with Anthropic on the core issue. He ruled that training an AI model on copyrighted text counts as fair use -- a decision widely seen as a turning point for the AI industry. But the ruling didn't excuse how Anthropic obtained the books in the first place. Anthropic had built its training library from two sources: books it purchased and scanned (fine), and books it downloaded from pirate sites like Library Genesis and Pirate Library Mirror. Alsup found the second method illegal on its own terms and said that piracy question could go to trial; Anthropic agreed to a settlement soon after to avoid a trial and whatever damages a jury might have awarded. While the final approval closes out this case, it doesn't settle the legal question industry-wide because Alsup's ruling was a single district court decision, and Anthropic's decision to settle means the case will never reach an appeals court to become binding precedent. Other judges are still free to reach their own conclusions on their own facts, which is exactly what's playing out elsewhere. There is still a string of copyright lawsuits against companies such as Google, Meta, Midjourney, and OpenAI over whether it's legal to train AI models on copyrighted works. Just last week, a group of publishers and authors, including Hachette, Cengage, Elsevier, author Scott Turow, and S.C.R.I.B.E. filed a class action lawsuit against Google over accusations that the company used their copyrighted works to train its AI platform, Gemini.
Meta is reportedly in talks to lease computing power to Anthropic in a deal worth as much as $10 billion over two years, according to the New York Times. The arrangement would open a new business line for Meta while easing Anthropic's desperate hunt for compute. Inside the Reported Meta and Anthropic Compute Deal Computing power, or compute, refers to the data center capacity used to train and run artificial intelligence models. The Anthropic proposal, first announced in June, would let the startup rent Meta's excess infrastructure rather than build its own facilities. According to the NTY, Anthropic would pay Meta in monthly installments over the two-year period, with an early-exit clause available to either party. The scale still looks modest by industry standards. The proposal runs about a third of the deal Anthropic signed with Elon Musk's SpaceX in May. Follow us on X to get the latest news as it happens. Under that agreement, the AI firm pays roughly $1.25 billion monthly, or $45 billion over three years, for computing power. Similar early-exit provisions reportedly applied to that larger contract as well. The talks remain in early stages and may still collapse before closing. Both Anthropic and Meta declined to comment on the reported negotiations. The context explains the urgency. Leading AI companies are racing to secure compute, while Meta, Google, and Microsoft pour hundreds of billions into new data centers worldwide. That construction boom has unsettled Wall Street. Investors increasingly question whether such extraordinary levels of spending can ever be justified by real returns. "Anthropic needs a lot of compute, and Meta has a lot of compute. Anthropic has really good models. Meta, until very recently, didn't have very good models, and now they have, you know, I would say an A-minus to B-tier frontier model," MTS's Theo Jaffee said. Why Would Meta Rent Compute to a Direct Rival For Meta, a potential deal would carry unusual weight. It could create fresh revenue and ease pressure from shareholders skeptical of the company's aggressive infrastructure budget. Mark Zuckerberg has said Meta will spend as much as $145 billion this year, most of it on AI. That figure more than doubles the $72 billion spent the previous year. Subscribe to our YouTube channel to watch leaders and journalists provide expert insights. Doubts about Meta's own models add another layer. The company has admitted it might build more data centers than its AI products currently require. Selling that surplus offers an obvious fix. Zuckerberg hinted on a May investor call that outside firms regularly ask to buy compute at a premium.
A handful of remarkable things that recently happened in the world of artificial intelligence all point in one direction: AI is becoming a widely available commodity. First, the price of AI good enough to accomplish most everyday tasks has dropped precipitously. This is due to lightweight models that run in the cloud and on our devices, including new ones from Google, Apple and Chinese AI companies. Most Read from The Wall Street Journal Second, Meta Platforms showed the world it could potentially compete with the two leading AI labs, OpenAI and Anthropic, on their own turf, delivering high-performing models for the lucrative coding market. And third, the current computing-power bottleneck appears set to ease as more data centers come online, and engineers figure out how to deliver AI more efficiently. For some applications, the supply of tokens -- the basic unit of AI use -- is catching up with demand. These developments are great for the world. OpenAI Chief Executive Sam Altman hailed intelligence "too cheap to meter" as a goal just a year ago. And rather than taking all the jobs, AI might actually boost productivity of many workers and potentially reduce digital friction in our modern lives. But is this good news for OpenAI and Anthropic? Poised for IPOs, both depend on maintaining a competitive edge over incumbent tech companies for future profitability. If AI models turn out to be a general-purpose technology like the automobile or electricity, what can they uniquely offer? Competition and price wars As of March, global consumer market share of OpenAI's ChatGPT, measured by unique users across mobile and web, fell below 50%, according to the market-intelligence firm Sensor Tower. That's mostly due to competition from Google Gemini and Anthropic's Claude. As for enterprise customers, Chinese AI models can now match the leading U.S. models by some measures, at far lower cost. On the OpenRouter leaderboard, which tracks business consumption of AI tokens on its platform, the top five models are all Chinese, and approximately 45% of all tracked tokens now flow through Chinese models. Thinking Machines Lab, led by Mira Murati, former OpenAI chief technology officer, just released a free-to-use open-weights model it says will balance power and running cost. Translation: Who needs an AI Ferrari to get to work when the AI Honda Civic is right there?
Microsoft CEO Satya Nadella told company engineers Wednesday that Anthropic's Fable AI model places unreasonable limits on what users can ask it, according to CNBC. "If you use Fable, when it refuses for any random thing, it just is like, when was the last time you had a creation tool that was so editorially controlled?" Nadella told engineers working on Microsoft's Copilot AI software, according to CNBC, which obtained a copy of his remarks. "It doesn't make sense." The comments were directed at engineers building Copilot and came as Anthropic has acknowledged its own restrictions are catching more benign requests than intended. When Anthropic restored Fable access on July 1 -- after cutting it off to comply with a U.S. government export control directive -- the company said the updated safeguards would flag a somewhat higher share of harmless requests than the previous version had. A support page indicates that queries touching on certain elements of large-scale model development, and other subjects, may be handled by an earlier version of Fable rather than the current one. The criticism is notable given how closely the two companies are tied. The November deal saw Microsoft commit $5 billion to Anthropic while Anthropic pledged to direct $30 billion toward Microsoft's Azure cloud platform. Microsoft also launched Copilot Cowork this year, a workplace productivity offering built around Anthropic's technology. Microsoft declined to comment on Nadella's remarks, and Anthropic did not respond to a request for comment. Nadella also used the meeting to argue that companies should not have to rely on a handful of AI providers. "It can't be that there are only two companies in the world with token capital, and everybody else is renting it," he told the engineers. "It makes no economic sense." Anthropic has faced mounting scrutiny from multiple directions. The company has been designated a supply-chain risk by the Pentagon after it refused to allow its models to be used for autonomous weapons or domestic surveillance -- a label Anthropic has called legally unsound and challenged in court. Despite the dispute, Anthropic has reported its annualized revenue climbing from roughly $9 billion at the end of 2025 to more than $30 billion. Microsoft shares are down 17% on the year, a stark contrast to the Nasdaq Composite's 11% advance over the same period.
Moneywise and Yahoo Finance LLC may earn commission or revenue through links in the content below. For Jeremy Grantham, SpaceX's IPO will go down in history for all the wrong reasons. He claims it's "the craziest IPO in the history of man (1)." In a recent interview with Morningstar, the founder of Grantham, Mayo, Van Otterloo & Company (GMO), blasted the valuation for Elon Musk's rocket company. Must Read * Jeff Bezos backs a platform that lets anyone invest in rental homes for as little as $100 -- 6 ways to build wealth like a landlord without actually being one * JPMorgan still sees gold hitting $5,000/oz by Q4 -- and savvy investors are protecting their wealth with a tax-advantaged Gold IRA. Learn more with a free guide from Priority Gold * The tax breaks in Trump's 'big beautiful bill' expire after 2028 -- and experts say most people won't act in time. What to do before the window closes Grantham is known as a "permabear" because of his perennially gloomy outlook on the market and stayed consistent with his recent analysis: "In 50 years, they'll be telling and writing stories about SpaceX and they'll be quoting you paragraphs from the prospectus and you will be laughing at it," he said (1). The prospectus Grantham is referring to is SpaceX's S-1 filing, which featured multiple page-long rocket ship pictures and lofty business ambitions such as space tourism and asteroid mining (2). But it isn't so much these sci-fi-sounding revenue sources that have Jeremy Grantham giggling. Grantham focused much of his criticism on SpaceX's artificial intelligence division, including xAI and X (formerly Twitter), which he considers "third-rate" compared to behemoths like Anthropic and OpenAI. Interestingly, a massive collapse in SpaceX's stock isn't the scariest scenario in Grantham's mind. He admitted that he's quite fearful of a future in which he's proven wrong and AI becomes so powerful that it creates a high-tech dystopia. Grantham told Morningstar, "If AI is actually going to be so good that the $1.7 trillion is cheap and the AI will be so powerful that our lives will be clearly at very severe risk, I wouldn't wish it on our species at all." On June 12, SpaceX shares initially rose from the starting price of $135 to about $160 per share (3). Although the stock briefly broke $200 a few days after IPO, it's currently trading around the $150 mark. Nasdaq fast-track brings in fast cash Even though Grantham said he's "90%" certain of a crash for SpaceX shares, he didn't rule out the possibility of price appreciation in the near-term. In Grantham's view, new indexing rules rather than intergalactic revenue sources could propel SpaceX higher.
This article first appeared on GuruFocus. Microsoft (NASDAQ:MSFT), the world's largest software company, is preparing its sales team to compete more aggressively with Anthropic, the artificial intelligence company behind Claude, and OpenAI, another major AI developer. During internal meetings held Tuesday and Wednesday, Microsoft executives said the company should emphasize its lower costs, stronger security controls, and broader product offering. Executive Vice President Jay Parikh said Microsoft's fiscal 2027 sales message should focus on the company providing a complete end-to-end system while competitors offer individual parts. This strategy supports Microsoft's effort to position itself as a platform where businesses can fine-tune, deploy, and monitor artificial intelligence across their operations. The competitive push comes as Microsoft faces pressure from large AI startups and rival cloud platforms, including Alphabet (NASDAQ:GOOGL), the technology company that owns Google. Investors have raised concerns that newer AI tools could replace established software products, while Microsoft's rising data-center spending has added further pressure on sentiment. The stock has fallen 20% this year, although shares gained 2.9% to $396.08 by 1:50 p.m. in New York, representing the largest intraday increase in two weeks. Executive Vice President Jacob Andreou also compared Microsoft's Copilot assistant with Anthropic's Claude for use in Microsoft's office products, saying Claude was slower, less accurate, and lacked suitable security integrations. Anthropic declined to comment. Chief Executive Officer Satya Nadella said customers are expected to focus more heavily over the next year on monitoring AI costs and using cheaper models. Nadella pointed to Unilever, a consumer goods company, which built an automated claims-processing system on Microsoft's platform that is projected to generate about $300 million in savings. The system had previously used one of the most advanced AI models available before switching to a less expensive Microsoft model. Microsoft has also replaced advanced models from OpenAI and Anthropic with its own cheaper alternative in some products, according to Bloomberg. Investors may view the strategy as an attempt to improve AI economics while strengthening Microsoft's position against fast-growing competitors.

Space stocks are on many investors' minds these days, but going all-in on this sector right now comes with considerable risk, as most rocket stocks are volatile. Still, two stocks that are no doubt near the top of many investors' watch lists are Space Exploration Technologies (NASDAQ: SPCX) and Rocket Lab (NASDAQ: RKLB). Here's which one looks like the better buy right now. Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue " The case for SpaceX What was once just a rocket company has morphed into an expanding technology behemoth with its sights set on both the space and artificial intelligence (AI) markets. SpaceX has highly ambitious goals for both, including colonizing Mars, launching orbital data centers, expanding its Starlink satellite internet business, and building what some analysts are calling a "sovereign AI" platform in which the company controls the AI model, chip designs, processor manufacturing, and everything in between. That's part of the appeal of SpaceX for some investors -- the company is trying big things, like developing its Starship rocket, which it says will reduce the costs of putting payloads into orbit by at least 90%, or deploying a constellation of data center satellites. Morningstar research puts the total addressable market for its Starlink connectivity business at $129 billion. And the company is making headway on some of its goals. It has 12 million Starlink internet subscribers and generated $1.9 billion in operating profit from that business in the most recent quarter. SpaceX is also making progress with its neocloud business, which leases data center capacity (Earth-bound, for now) to tech companies including Alphabet and Anthropic. That business has already signed more than $81 billion in contracts. And then there's the potential for SpaceX to merge with Elon Musk's other large company, Tesla. That could expand SpaceX's opportunities into the autonomous vehicle and humanoid robot markets, the latter of which could be worth $3 trillion by 2050, according to a Morgan Stanley forecast. The case for Rocket Lab There's some overlap between Rocket Lab and SpaceX, though Rocket Lab isn't building AI data centers or planning to merge with a humanoid robotics company (as of now). The company is instead mostly focused on launching rockets for its customers and on expanding its satellite communications network through its recently announced purchase of Iridium Communications.
SpaceX stock dropped below its initial public offering price for the first time on Wednesday, signaling dwindling hype around the Elon Musk company. Shares dipped below their IPO price of $135 on Wednesday morning for the first time since listing, a humbling loss for the stock, which had skyrocketed more than 50% in its first days of trading last month. The shares regained some ground later in the day, closing at $135.27. The initial offering gave the company a market cap of $2.2 trillion, making it one of the world's most valuable public companies. For a short period, the IPO also made owner Elon Musk the world's first trillionaire, though his net worth now is about $800 billion. On July 7, the company was added to the Nasdaq-100 after a rule change allowed companies to join 15 days after their IPOs. SpaceX raised a total of $86 billion after underwriters exercised their right to sell additional shares, on top of the $75 billion initially raised. It was the largest IPO in history. SpaceX, based near Austin, Texas, is the leading launch services company in the world, with its Falcon 9 rocket accounting for the vast majority of satellites launched last year. It is also the leading satellite-based broadband provider with its Starlink service. The extraordinary interest in the IPO was driven by Musk's plans to make the company an AI leader -- including plans to launch orbiting satellite data centers powered by the sun that crunch AI data. The company's headquarters moved from Hawthorne to Texas in 2024, but it retains large operations in the South Bay city and blasts off regularly from Vandenberg Space Force Base in Santa Barbara County. Since the IPO, SpaceX has used its newfound wealth to expand in the AI space. It announced last month that it was acquiring the AI coding startup Cursor for $60 billion, with the deal expected to close in the third quarter. The San Francisco company, founded in 2022, enables engineers to instruct software in English to run coding tasks autonomously. Musk also merged his xAI artificial intelligence company into SpaceX earlier this year. The combined entity recently announced it was leasing computing power to rivals Anthropic and Google at two terrestrial data centers it has constructed. Since the IPO, investors have expressed concerns about the company's spending plans and debt load. Even with the volatility of the last month, there's still more uncertainty to come. The stock could fall further as locked-up shares held by current and former employees are released.
July 15 (Reuters) - JPMorgan Chase CEO Jamie Dimon said on Wednesday that risks posed by Anthropic's Mythos AI model are a "real issue" that the U.S. government is on top of, underscoring concerns about the powerful model that have caused Washington to intervene. Dimon, speaking at Senator Dave McCormick's Pennsylvania Defense and Innovation Summit, added that access to advanced AI capabilities must be controlled, saying "you're giving ballistic missiles to individuals with Mythos." U.S.-based Anthropic released Mythos in April to a select group that included JPMorgan. The model has attracted interest from banks because it is considered among the most advanced AI systems for identifying cybersecurity vulnerabilities, helping firms uncover and fix weaknesses more quickly. However, in June, the U.S. government ordered Anthropic to restrict access to its top AI models, Fable 5 and Mythos 5, to foreign nationals over national security concerns, forcing the company to cut off worldwide access. The government later removed restrictions on the models after Anthropic implemented new safeguards. Governments and tech companies are grappling with AI safety concerns, including the misuse of systems capable of identifying software vulnerabilities. Washington has stepped up oversight of new model releases amid fears that advanced AI could be exploited by military intelligence in China, Russia or other countries of concern. Anthropic could not be immediately reached for comment on Dimon's remarks outside regular business hours. (Reporting by Mihika Sharma in Bengaluru and Mrinmay Dey in Mexico; Editing by Rashmi Aich)
July 15 (Reuters) - JPMorgan Chase CEO Jamie Dimon said on Wednesday that risks posed by Anthropic's Mythos AI model are a "real issue" that the U.S. government is on top of, underscoring concerns about the powerful model that have caused Washington to intervene. Dimon, speaking at Senator Dave McCormick's Pennsylvania Defense and Innovation Summit, added that access to advanced AI capabilities must be controlled, saying "you're giving ballistic missiles to individuals with Mythos." U.S.-based Anthropic released Mythos in April to a select group that included JPMorgan. The model has attracted interest from banks because it is considered among the most advanced AI systems for identifying cybersecurity vulnerabilities, helping firms uncover and fix weaknesses more quickly. However, in June, the U.S. government ordered Anthropic to restrict access to its top AI models, Fable 5 and Mythos 5, to foreign nationals over national security concerns, forcing the company to cut off worldwide access. The government later removed restrictions on the models after Anthropic implemented new safeguards. Governments and tech companies are grappling with AI safety concerns, including the misuse of systems capable of identifying software vulnerabilities. Washington has stepped up oversight of new model releases amid fears that advanced AI could be exploited by military intelligence in China, Russia or other countries of concern. Anthropic could not be immediately reached for comment on Dimon's remarks outside regular business hours. (Reporting by Mihika Sharma in Bengaluru and Mrinmay Dey in Mexico; Editing by Rashmi Aich)
July 15 (Reuters) - JPMorgan Chase CEO Jamie Dimon said on Wednesday that risks posed by Anthropic's Mythos AI model are a "real issue" that the U.S. government is on top of, underscoring concerns about the powerful model that have caused Washington to intervene. Dimon, speaking at Senator Dave McCormick's Pennsylvania Defense and Innovation Summit, added that access to advanced AI capabilities must be controlled, saying "you're giving ballistic missiles to individuals with Mythos." U.S.-based Anthropic released Mythos in April to a select group that included JPMorgan. The model has attracted interest from banks because it is considered among the most advanced AI systems for identifying cybersecurity vulnerabilities, helping firms uncover and fix weaknesses more quickly. However, in June, the U.S. government ordered Anthropic to restrict access to its top AI models, Fable 5 and Mythos 5, to foreign nationals over national security concerns, forcing the company to cut off worldwide access. The government later removed restrictions on the models after Anthropic implemented new safeguards. Governments and tech companies are grappling with AI safety concerns, including the misuse of systems capable of identifying software vulnerabilities. Washington has stepped up oversight of new model releases amid fears that advanced AI could be exploited by military intelligence in China, Russia or other countries of concern. Anthropic could not be immediately reached for comment on Dimon's remarks outside regular business hours. (Reporting by Mihika Sharma in Bengaluru and Mrinmay Dey in Mexico; Editing by Rashmi Aich)
AI models are becoming ever more capable, but exactly what enterprise adoption will look like remains a big question. In a bid to shape that future, labs like Anthropic and OpenAI have spun up separate businesses dedicated to deploying AI engineers to their customers' offices -- a bet that assisting businesses in figuring out how to use their AI models is the next trillion-dollar category. One of those businesses now has a name: Ode with Anthropic is the $1.5-billion, AI implementation company that the AI lab launched in May as part of a joint venture with Blackstone, Hellman & Friedman, Goldman Sachs and others. The move follows OpenAI's own take on this, The Deployment Company, underscoring a growing acknowledgement among frontier AI labs that winning enterprise customers requires far more than shipping better models. Ode was originally conceived by Blackstone, which noticed a gap when it had roped in large consulting firms and small AI services boutiques to implement AI across its portfolio companies. One of those boutiques, AI engineering services startup Fractional AI, apparently stood out, and the joint venture acquired the startup shortly after it was announced. (Fractional ended an 11-month partnership with OpenAI when it was acquired.) Fractional has become the foundation of what is now Ode -- a kind of "scaled boutique" AI services firm. And its leaders have ambitious goals. "It's pretty easy to imagine this as a trillion-dollar company someday if we execute well," Chris Taylor, CEO of Ode and co-founder of Fractional, told TechCrunch in an exclusive interview. "The key challenge of the business is how do you go through that phase of hyper growth without losing the emphasis on quality?" Ode currently employs 100 engineers, and works closely with Anthropic's applied AI team to identify where the tech can have an impact on different businesses, and create systems tailored to each organization's operations. Anthropic's internal team will continue to focus on strategic, mission-aligned deployments, a spokesperson told TechCrunch. The private equity firms backing Ode will funnel their own portfolio companies to the joint venture as potential customers, though Ode will not limit sales of its services to those companies. For Ode, an ideal customer is one whose CEO buys into the promise, according to Taylor. "A lot of the work that we're doing is the top one or two priority for the CEO of the company," Taylor said. "It's the most important product feature that the company is going to build over the course of the next two years, or it's reworking the most important business process they have."
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Cerebras Systems Inc. CEO Andrew Feldman says SpaceXAI, formerly xAI, moved into rented AI computing because its processors were not busy enough, as Grok drew less usage than expected. Feldman Blames Grok's Weak Early Adoption Speaking with Molly O'Shea on the Sourcery podcast on Monday, Feldman explained that Musk's company pivoted to an operator that rents out AI infrastructure because its Grok model struggled with early enterprise market adoption, leaving billions of dollars in hardware sitting idle. "You have to ask why they had available capacity," Feldman said. "They had available capacity because the Grok model wasn't used very much." Cerebras CEO @andrewdfeldman explains why @elonmusk and SpaceXAI made a deal to lease GPUs to Anthropic: "You have to ask why they had available capacity... They had available capacity because the Grok model wasn't used very much." "They had these GPUs sitting around, and... https://t.co/1IHsE98NR3 pic.twitter.com/ssomhhLJJl -- sourcery (@sourceryy) July 13, 2026 Trending: Avoid the #1 Investing Mistake: How Your 'Safe' Holdings Could Be Costing You Big Time Feldman said SpaceXAI could not afford to leave equipment idle. "They had these GPUs sitting around, and that's a bad idea," he said. He pointed to IPO-bound Anthropic's agreement to use SpaceX's Colossus 1 data center in Memphis, Tennessee. Anthropic said the site provides more than 300 megawatts through over 220,000 Nvidia GPUs, allowing it to double Claude Code limits, remove peak-hour reductions and raise API ceilings. "They leased a whole block of them to Anthropic, and looked up and said, 'Whoa, that's a pretty good idea,'" Feldman said. "We had all these GPUs. Our model wasn't a success, but we can have a great business by stepping into what is a constrained market." Anthropic Deal Monetizes Idle GPU Capacity In May, Anthropic agreed to pay $1.25 billion per month for Colossus and Colossus II capacity through May 2029. Both sides can terminate with 90 days' notice, and Musk described the arrangement as a six-month lease, leaving its long-term value uncertain. See Also: Skip the Regrets: The Essential Retirement Tips Experts Wish Everyone Knew Earlier. Colossus 1 supported Grok's development, but Reuters described its capacity as unused prior to the Anthropic agreement. SpaceXAI said Grok 4.5 trained across tens of thousands of Nvidia GB300 processors.
* Anthropic officials are cautioning companies against knee-jerk reactions to rein in AI use. * Angela Jiang, head of product for the Claude Platform, said some customers are making those sorts of moves. * The initial tokenmaxxing hype has morphed into a more ROI-focused moment. Top Anthropic officials are cautioning against companies cutting back on their AI use as costs increase. "Something that's really top of mind for us that we kind of try to spend some time with users on is what you don't want to do is stop AI usage. That's kind of the wrong move," Angela Jiang, head of product for the Claude Platform, recently told Sequoia Capital's "Training Data" podcast. "And we do actually see some of our customers do that." Katelyn Lesse, head of platform engineering at Anthropic, said the focus on costs was part of "a normal natural cycle for companies" as they figure out the best way to deploy AI. "The thing that gets dangerous is when you're kind of just like, here's a cap and you're stuck within your cap," said Lesse, who joined Jiang for the interview. Jiang said that Anthropic often finds that AI spending has "erupted" in companies where employees procure Anthropic's AI models themselves through "some kind of shadow IT." Instead of curtailing usage, she said companies can find ways to use AI more efficiently. "What we try to kind of encourage our customers is like, you don't want to stop the innovation," she said. "If you are getting returns on top of this, you are shipping faster than ever before, you can run more operationally efficient -- then those are gains." Lesse said it's about "encouraging innovation" while understanding the different ways to get the desired result. "One is like you take Opus and you run it all night and you do something crazy," she said. "And another is maybe to get a little bit smarter with the strategies that you put together in order to create that same outcome within a lower cost. And I think that's the next layer of thinking that everyone's going to start to do." AI companies are facing an increasingly skeptical Corporate America that sees rising AI bills without what some executives have said is an adequate ROI to justify the spending. In response, AI companies like Anthropic have emphasized the cost efficiency of their models and services, which can better tailor AI to specific enterprise needs. Cost concerns could weigh on the broader AI market as companies like Anthropic approach highly anticipated IPOs. A new kind of router. Companies like Vercel are seizing this cost-conscious moment by offering customers a way to route their AI usage to the best model suited for the task. Analysts have said that routing requests will remain in high demand so long as AI token costs remain high.
Canada's federal banking watchdog alerted the country's financial institutions on risks tied to Anthropic's Claude Mythos and other advanced AI models, reported Reuters. According to the regulator, the technology could increase cyber threats and reduce the time available to detect and patch vulnerabilities. The Office of the Superintendent of Financial Institutions (OSFI) sent the message to chief technology officers, chief information security officers and chief risk officers across the financial sector, including large banks and insurers, according to documents Reuters obtained through an access-to-information request. Authorities in several jurisdictions are examining cybersecurity concerns linked to Anthropic's frontier AI model Mythos. The model has been described as highly capable of identifying and exploiting cybersecurity vulnerabilities, creating challenges for banks and their older technology systems. "Advanced artificial intelligence models, such as Anthropic Claude Mythos, significantly compress the timeframe for effective risk mitigation," OSFI said in an email. "Accordingly, this bulletin is grounded in our existing guidance and outlines sound practices that institutions can adopt to enhance the speed and effectiveness of risk identification, mitigation and response." Recognition of the risks associated with Mythos by OSFI may lead Canadian banks, insurers and other regulated institutions to put more resources into technology aimed at protecting clients from cyber threats, noted the news agency. In a statement to Reuters, the regulator said: "OSFI takes a technology‑neutral, risk‑focused approach to emerging technologies, including advanced artificial intelligence models such as Mythos. Our focus is not the technology itself, but how federally regulated financial institutions govern and manage the risks associated with its use." In early April, Canadian banking executives met regulators to discuss risks linked to Mythos, shortly after US Treasury Secretary Scott Bessent and then-Federal Reserve Chair Jerome Powell held an urgent meeting with bank chief executives to warn about cyber risks connected to Anthropic's latest AI model. OSFI sent the email to company executives in April. The cyber capabilities of some frontier AI systems are considered that access has been restricted, with currently excluded from Mythos. Three of Canada's big six banks, Royal Bank of Canada, TD Bank and BMO, have set out plans to make millions from AI investments as they moved from trial projects to uses such as chatbots, internal tools and reducing dependence on third-party tools.

One month ago, on June 12, Elon Musk's artificial intelligence (AI) and space economy conglomerate, Space Exploration Technologies (SpaceX) (NASDAQ: SPCX), rewrote history with its initial public offering (IPO). The $85.7 billion raised, including the underwriters' overallotment, nearly tripled the previous IPO record holder, Saudi Aramco. But in kicking off IPO mania -- large language model developers Anthropic and OpenAI are expected to follow in SpaceX's footsteps -- SpaceX may also be fueling the final stages of an AI bubble that history suggests is waiting to pop. Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue " Rarely are stock market bubble warning signs as glaring as Raymond James Financial's price target assigned to SpaceX. Wall Street's high-water price target foresees SpaceX reaching $800 in 2031 Given that 21 underwriters helped bring SpaceX public and received shares for doing so, it should come as no surprise that Wall Street analysts have, as a whole, presented an overwhelmingly positive outlook for the company. But Raymond James Financial analyst Brian Gesuale is a true outlier. His $800 price target by 2031 implies 451% upside, based on where SpaceX's shares ended on July 10, and assumes a valuation of roughly $10.5 trillion. For context, this would be more than double Nvidia's current market cap. Gesuale foresees SpaceX's full-year sales scaling from an estimated $38.5 billion in 2026 to approximately $837 billion by 2031. More importantly, earnings before interest, taxes, depreciation, and amortization (EBITDA) are projected to catapult from $17.7 billion in 2026 to $696 billion by 2031. While there's no question that AI and the space economy are two of the hottest addressable opportunities on Wall Street, several headwinds suggest Gesuale's pie-in-the-sky price target is pure fiction and the sign of an end-stage bubble that's about to burst. SpaceX spotlights everything wrong with Wall Street Although the stock market is a long-term wealth-creating machine, it's prone to occasional bubble-bursting events. SpaceX's current $1.91 trillion valuation and Raymond James' $800 price target for the company spotlight everything that's wrong with Wall Street over the short term. For starters, SpaceX hasn't demonstrated that its operating model is sustainable. While satellite-based broadband services provider Starlink is profitable, AI start-up xAI -- the segment responsible for the lion's share of SpaceX's $28.5 trillion addressable market -- is burning cash as Musk's company chases AI compute capacity.
Elon Musk does not often admit he was wrong. But he has. Responding on X to a user who noted that SpaceX controls the computing power Anthropic depends on, and could, in theory, cut it off, Musk said he never would. He went further, calling Anthropic the clear leader in AI and saying no rival had shipped a model as good as its Mythos and Fable systems. He expects a Mythos 2 before long. The turn is surprising, given that last September, he wrote that winning was never a possible outcome for Anthropic. In February, after it raised $30bn at a $380bn valuation, he called its models "misanthropic and evil" and told it to fix them. Five months on, the same company is his benchmark for the field. The praise is not free Take the compliment at face value and it reads as rare humility. Look at the plumbing and a second motive appears. In May, Anthropic agreed to lease the entire output of xAI's Colossus 1 data centre near Memphis, about 300 megawatts, paying roughly $1.25bn a month through 2029. That is close to $40bn flowing to Musk's side of the table. He is not just admiring Anthropic. He is billing it. A rival who pays you $40bn is a rival worth flattering. Musk's pledge not to weaponise that dependence costs him nothing and buys goodwill with a customer he needs. The admiration may be real. It is also good business. Playground politics? The sharper reading sits one company over. Musk co-founded OpenAI in 2015 as a non-profit, left the board in 2018 after the others refused to hand him control, and has fought it since. He sued Altman and OpenAI in 2024, accusing them of abandoning the founding mission for private gain. He sought more than $150bn in damages, Altman's removal and the unwinding of the for-profit structure. In May, a jury threw the case out, finding Musk had waited too long to file. He called the verdict a "calendar technicality" and vowed to appeal. By July, the feud was personal again. Musk branded Altman "Scam Altman" after Apple sued OpenAI, and Altman replied that the surest sign his new model led the field was that Musk was obsessed with him again. Against that backdrop, crowning Anthropic the leader does double duty. It is a real judgement about the models. It is also a way to tell the market that the AI company that matters is not the one he is suing. Both are racing to the same finish line Timing sharpens the point. Both firms filed confidentially for stock market listings in June, within days of each other. Anthropic, valued at about $965bn in private markets, is pushing for a Nasdaq debut as early as October. It could be the first company to list at close to $1tn, and it expects its first profitable quarter, with around $559m in operating income on $10.9bn of revenue.
Elon Musk does not often admit he was wrong. But he has. Responding on X to a user who noted that SpaceX controls the computing power Anthropic depends on, and could, in theory, cut it off, Musk said he never would. He went further, calling Anthropic the clear leader in AI and saying no rival had shipped a model as good as its Mythos and Fable systems. He expects a Mythos 2 before long. The turn is surprising, given that last September, he wrote that winning was never a possible outcome for Anthropic. In February, after it raised $30bn at a $380bn valuation, he called its models "misanthropic and evil" and told it to fix them. Five months on, the same company is his benchmark for the field. The praise is not free Take the compliment at face value and it reads as rare humility. Look at the plumbing and a second motive appears. In May, Anthropic agreed to lease the entire output of xAI's Colossus 1 data centre near Memphis, about 300 megawatts, paying roughly $1.25bn a month through 2029. That is close to $40bn flowing to Musk's side of the table. He is not just admiring Anthropic. He is billing it. A rival who pays you $40bn is a rival worth flattering. Musk's pledge not to weaponise that dependence costs him nothing and buys goodwill with a customer he needs. The admiration may be real. It is also good business. Playground politics? The sharper reading sits one company over. Musk co-founded OpenAI in 2015 as a non-profit, left the board in 2018 after the others refused to hand him control, and has fought it since. He sued Altman and OpenAI in 2024, accusing them of abandoning the founding mission for private gain. He sought more than $150bn in damages, Altman's removal and the unwinding of the for-profit structure. In May, a jury threw the case out, finding Musk had waited too long to file. He called the verdict a "calendar technicality" and vowed to appeal. By July, the feud was personal again. Musk branded Altman "Scam Altman" after Apple sued OpenAI, and Altman replied that the surest sign his new model led the field was that Musk was obsessed with him again. Against that backdrop, crowning Anthropic the leader does double duty. It is a real judgement about the models. It is also a way to tell the market that the AI company that matters is not the one he is suing. Both are racing to the same finish line Timing sharpens the point. Both firms filed confidentially for stock market listings in June, within days of each other. Anthropic, valued at about $965bn in private markets, is pushing for a Nasdaq debut as early as October. It could be the first company to list at close to $1tn, and it expects its first profitable quarter, with around $559m in operating income on $10.9bn of revenue.
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Anthropic has hired former Federal Reserve Chairman Ben Bernanke to its long-term benefit trust (LTBT), an AI oversight body tasked with ensuring the company remains accountable to its broader public interest goals. In his role, Bernanke will provide guidance on the potential risks and societal impacts of AI, as well as how AI is changing the economy. He will also lead insight into Anthropic's economic research, in addition to other areas of the artificial intelligence company's work, Anthropic reported. "The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it," Bernanke said. "Anthropic has created a unique governance structure to try to ensure that the long-run benefits of AI for humanity far outweigh the risks. I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission." Anthropic operates as a Public Benefit Corporation, a structure designed to pursue financial growth while also advancing broader societal interests. The LTBT was established to help preserve that balance over time by providing oversight and ensuring the company remains accountable in how it builds and deploys AI systems, "AI may have the most significant economic effects of any technology in modern history, and Anthropic has a dual responsibility to understand those effects and to act on them," said Daniela Amodei, Co-Founder and President of Anthropic. "Ben's career has run from studying how economies react to disruptive moments to helping steer the world's largest economy through one such time. His judgment will make us better at anticipating and responding to how advanced AI affects workforces and economies around the world." See Also: Avoid the #1 Investing Mistake: How Your 'Safe' Holdings Could Be Costing You Big Time Bernanke led the Federal Reserve from 2006 to 2014. Before joining the Federal Reserve, he spent more than two decades as an academic economist and earned a Nobel Prize in Economic Sciences in 2022. On the LTBT, Bernanke will be joining the CEO of the Clinton Health Access Initiative, Neil Buddy Shah, the CEO of the Center for a New American Security, Richard Fontaine, and Mariano-Florentino Cuellar, who joined Stanford University's Center for Advanced Study in Behavioral Sciences this month.
* Altman took a swipe at a new advertisement for Anthropic's Claude. * In the past few days, he has again rebutted Elon Musk and said he is "not afraid of Apple" following the iPhone maker's lawsuit. * Investors are closely watching developments at OpenAI as it moves toward a public listing. OpenAI CEO Sam Altman took a more combative tone toward tech rivals on Monday, days after his AI startup was hit with a major trade-secret theft lawsuit by Apple. "Come for the best model, stay because we don't treat you with contempt," Altman posted on X on Monday, without context. Given the timing, X users interpreted it as criticism aimed at companies like Apple, Anthropic or SpaceXAI. See what 10M+ investors are talking about. Get the Stocktwits Daily Rip for what retail is watching right now, free to your inbox In a separate post, Altman took a swipe at a new advertisement for Anthropic's Claude. The ad, titled "There's Hope in Hard Questions," features a narrator reflecting on whether AI can be built to benefit humanity. Responding to it, Altman wrote, "i thought this was satire, kept looking for the handle to be spelled c1audeai or something." Anthropic was started by former OpenAI employees, and the company now appears to be leading in the AI market. Altman Sharpens The Rhetoric The OpenAI CEO is no stranger to quirky responses to online critics, but lately he appears to be taking a more head-on approach. In the past few days, he's rebutted criticism from SpaceX and Tesla founder Elon Musk, saying that he was wooing public market investors with unproven claims about space data centers and that he is "not afraid of Apple" following the iPhone maker's lawsuit. Altman and Musk have frequently traded jabs online amid Musk's long-running legal campaign against OpenAI, including challenges to its restructuring and its relationship with Apple. Apple Lawsuit On Friday, Apple said it sued OpenAI in California, alleging that OpenAI encouraged Apple employees to share information, components, drawings, and other materials related to upcoming products -- as part of OpenAI's efforts to develop its own suite of devices. The suit also named Tang Tan, a 25-year Apple veteran who joined OpenAI as its chief hardware officer last year, as a defendant. The suit marks a dramatic turn for two companies that were close partners. OpenAI has powered Apple Intelligence and Siri, but ties between the two have frayed over the past year. OpenAI IPO Watch Investors are closely watching developments at OpenAI as it moves toward a public listing, setting up a potential IPO showdown with chief rival Anthropic.