News & Updates
The latest news and updates from companies in the WLTH portfolio.
Anthropic rolls out India specific pricing for Claude AI: Plans, prices, and other details
You can now pay for Claude in Indian rupees, here are all the details. (Representational image made with AI) For a long time, if you wanted to purchase a Claude subscription, you would need to pay in US dollars. This made it more cumbersome for users who needed to shell out forex charges, and pay GST in addition to the plan prices. But now, Anthropic has quietly rolled out India-specific pricing, allowing you to pay in Indian rupees. You can now check out Indian prices for Claude via the official website. The Claude Pro plan starts at Rs 2,000 per month. Previously, it would've cost you $20 (roughly Rs 1,630) per month - excluding additional fees and GST. The 20x tier of the Claude Max can go up to Rs 23,999 per month. The same plan in US dollars would have cost $200 (roughly Rs 19,170) per month. Also, one thing to note is that all paid Claude plans in India are inclusive of GST. This move comes as India continues to grow as a major AI market. As per reports, India is the second-largest market for Claude, after the US. This change will make it easier for users to now purchase Claude plans without having to pay extra fees. But what do you get from different Claude plans? Here are all the details. Claude Pro plan in India In India, the Claude Pro is priced at Rs 2,000 a month on an annual subscription (Rs 24,000 per year) and Rs 2,399 a month on monthly billing. Under the older USD pricing, Pro cost $20 (roughly Rs 1,920) a month on monthly billing and $17 (roughly Rs 1,630) a month on the annual plan billed as $200 (roughly Rs 19,170) upfront. Claude Pro runs Anthropic's Sonnet 5 by default and includes access to more Claude models, including Opus and the more advanced Fable 5 model. Apart from a 5x higher usage limit than the free tier, you also get Research mode, unlimited Projects, Memory, file uploads, web search, and voice mode. Claude Pro users can also use the coding platform Claude Code, as well as Claude Design, Claude in Excel and PowerPoint, and Microsoft 365 integration. Keep in mind that the Claude Free plan remains available in India, which gives access to Claude Sonnet 5 and 4.6, and Haiku 4.5. Free users also get web search, file uploads of up to 20 files per chat, limited Projects. Claude Max plan in India If you want more out of your Claude subscription, you can purchase Claude Max. Claude Max in India is available at Rs 11,999 a month for the 5x version and Rs 23,999 a month for the 20x version. In the older US dollar structure, Max 5x cost $100 (Rs 9,584) a month and Max 20x cost $200 (roughly Rs 19,170) a month. The Max tier carries the same core feature-set as Pro, but with a larger usage bucket rather than a different model tier. Users get the same models and features available in Pro, including Cowork, Claude Code, Projects, Memory and web search, but with either 5x or 20x Pro's usage limits depending on the tier. Claude Max also includes priority access during high-traffic periods, higher Claude Code session limits for longer coding runs, and first access to new features and models before they reach Pro. Claude Team plan in India For businesses, Anthropic has also brought India specific pricing for Claude Team subscriptions. The Team Standard seat is priced at Rs 2,399 a month for an annual subscription, with monthly billing at Rs 2,999 a month. A Premium seat costs Rs 11,999 a month, with monthly billing at Rs 14,999 a month. As was the case with Claude Pro and Claude Max, these prices are inclusive of GST. Previously, Team Standard was listed at $25 (roughly Rs 2,400) per seat a month, or $20 (roughly Rs 1,920) per seat a month when billed annually, while Team Premium was listed at around $150 (roughly Rs 14,380) a month for premium seats. The Team plan includes a 200K context window, usage credits available at API rates, Claude Code, and Claude Cowork. Businesses also get central billing and administration, single sign-on and domain capture, and admin controls. As default, Anthropic does not use content from Claude Team users for model training.
IT Stock Jumps 6% After Announcing Strong Q1 Results and AI Partnership with Anthropic
Synopsis: A leading IT services major kicked off FY27 with strong revenue growth, expanding margins, and a widening base of large clients. The quarter also brought a strategic European acquisition, a major AI partnership, and a reorganized business structure aimed at sharper industry focus. The June quarter turned out to be a busy one for this technology services company, with growth accelerating on the back of an AI-led strategy that management says is now translating into real client wins rather than just talk. Alongside healthy financial numbers, the quarter saw a sizeable European acquisition move forward and a new tie-up with a leading AI company. With a market capitalization of Rs.1,21,622crore, the shares of LTM Limited were trading at Rs. 4,100 per share and with a 52-week range of Rs. 6,429 to Rs. 3,528, and it is trading at a P/E of approximately 22x. The stock is up by 6 percent from the day's low after the partnership announcement with Anthropic. Financial Performance For the quarter ended June 2026, LTM reported consolidated revenue of ₹11,608 crore, up 18% year-on-year and 2.8% sequentially. In dollar terms, revenue came in at $1,223.5 million, growing a modest 6.1% YoY but nearly flat quarter-on-quarter at just 0.1%, reflecting currency headwinds even as the underlying business kept expanding. Profitability told an even better story. EBIT stood at ₹1,799.3 crore, rising a sharp 27.9% YoY, pushing EBIT margin up by 120 basis points to 15.5%. Net profit came in at ₹1,468.6 crore, up 17.1% YoY and 9.5% sequentially. Basic EPS for the quarter was ₹49.46. Order inflow remained healthy at $1.68 billion, up 3.1% YoY, giving the company a reasonably strong pipeline heading into the rest of FY27. AI Strategy Starts Showing Up in Numbers Management was clear that the company's AI-first approach is no longer just a talking point on investor calls. CEO and MD Venu Lambu noted that the AI pivot is now producing tangible proof points for clients, visible in the outcomes the company is creating and in the size and nature of the engagements being won. The strong order book, paired with a healthy pipeline across industry segments, gives the company reasonable confidence about sustaining growth momentum through the year. This shows up clearly in the client mining numbers. The count of $5 million-plus clients rose to 170, up 11 accounts YoY, while $10 million-plus clients climbed to 104, an addition of 14. The $20 million-plus bracket grew to 52 clients, up 11 YoY, and the $50 million-plus category rose to 15, adding one more large account. The company also picked up 16 new active clients during the quarter, taking its total active client base to 740. Anthropic Partnership: Betting Big on Claude Just after the results, LTM partnered with Anthropic to scale enterprise adoption of Claude, Claude Code, and Claude Cowork across its delivery operations. The tie-up rests on three pillars. First, Claude and Claude Code get embedded into LTM's BlueVerse AI Delivery Fabric, powering software engineering, application modernization, agent orchestration, site reliability engineering, observability, and chaos engineering, making AI part of core delivery rather than a side pilot. Second, the AI1000 program will train and deploy thousands of Claude-certified architects and forward-deployed engineers who can guide clients from assessment through implementation and continuous improvement. Third, a dedicated Claude Center of Excellence will build reusable AI skills and reference architectures while serving as a governance backbone covering responsible AI use, agent lifecycle management, and data privacy compliance as a priority for enterprise clients cautious about AI rollouts. The partnership spans BFSI, Hi-Tech, Consumer, and production sectors, underscoring how central AI has become to the company's growth strategy. Europe Expansion and Business Reorganisation The quarter also saw the company sign a Put Option Deed to acquire Randstad Digital's operations spanning the Netherlands, Australia, France, and several other European markets in a deal valued at up to EUR 160 million. Once concluded, this is expected to strengthen the company's digital engineering footprint in key international markets. Alongside this, the company restructured its reporting segments into four customer-facing verticals to sharpen industry focus: Financial Services (formerly BFSI), Consumer (which now includes the Healthcare, Life Sciences, and Public Services businesses), Technology & Services (which now includes Media & Entertainment alongside the remaining tech businesses), and Production (formerly Manufacturing & Resources). On the people side, the company closed the quarter with 87,886 employees, utilization excluding trainees at 86.4%, and trailing twelve-month attrition holding steady at 13.3%, suggesting a fairly stable execution engine even as the company chases bigger, more complex deals. Verdict Between accelerating growth, expanding margins, a large European acquisition, and a fresh AI partnership, this was a quarter where multiple strategic threads came together at once. Whether these moves translate into sustained outperformance will depend on how quickly the AI investments and the European integration start showing up in the numbers over the coming quarters.
LTM-Anthropic Partnership: LTM bets on Anthropic's Claude to drive enterprise AI transformation
The L&T Group company will embed Claude into its AI platform, train thousands of certified engineers and establish a dedicated Centre of Excellence as enterprises ramp up generative AI adoption LTM, formerly LTIMindtree, has partnered with Anthropic to bring its Claude family of artificial intelligence (AI) models to enterprise clients, joining a growing list of IT services firms forging alliances with leading AI developers as customers move from pilot projects to large-scale deployments. Under the partnership, LTM will integrate Claude, Claude Code, and Claude Cowork into its BlueVerse AI platform to support software engineering, application modernisation and other enterprise workflows, the company said in a BSE filing. Announcing the collaboration on Monday, LTM said it will also expand its AI1000 initiative to train thousands of Claude-certified architects and engineers, while setting up a dedicated Claude Centre of Excellence (CoE) to develop reusable AI agents, reference architectures and governance frameworks for enterprise deployments. Commenting on the partnership, Chris Ciauri, managing director of International at Anthropic, said, "LTM brings delivery expertise, trained people, and long-standing client relationships across industries, and their customers want to embed Claude into the systems they rely on." "LTM is embedding Claude and Claude Code in BlueVerse, bringing trusted frontier AI technology to the center of how they do what they do best - help their clients build, modernise, and run their software," said. Also Read EPFO adds new PF transfer option after job switch: What has changed Cloudy skies in Delhi as AQI turns 'poor'; rainfall likely in most states Weekly policy watch: Inflation data, India-UK FTA, forex reserves in focus Q1 results: HCL Tech, ICICI Prudential AMC and 13 more on July 13 Weekly economy wrap: India advances Indo-Pacific ties; IMF cuts growth view The collaboration will initially target clients across banking and financial services (BFSI), high technology, consumer and manufacturing sectors, with the companies aiming to help enterprises move AI projects from pilot stages to production deployments. "Combining Claude with LTM's BlueVerse ecosystem, deep domain expertise, technology capabilities, and AI1000 talent initiative creates a powerful foundation for enterprises to embed AI across their business and modernize at scale," according to Venu Lambu, CEO and managing director, LTM. The announcement comes as global IT services companies increasingly forge alliances with leading AI model developers to strengthen their enterprise AI offerings and capture growing demand for large-scale AI transformation projects. More From This Section TCS expands ABB partnership with multi-year AI network operations deal Tata Capital enters gold loan business with Yogloans acquisition AI disruption, Iran war risks weigh on Indian IT firms' earnings outlook TCS rejigs leadership, business units to sharpen focus on AI-led dealspremium Berry Alloys to invest ₹1,200 cr in Andhra Pradesh steel materials complex
Elon Musk Admits He Was 'Clearly Wrong' About Anthropic -- and Promises Not to Weaponize SpaceXAI's Compute Access Against the Claude Maker: 'Not My Style'
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Elon Musk publicly reversed his earlier view of Anthropic on Thursday, saying he was "clearly wrong" to doubt the AI company and pledging not to use SpaceXAI's compute leverage to harm a competitor. Musk Calls Anthropic Current AI Leader "I was clearly wrong about Anthropic," Musk wrote on X. "They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon." TechCrunch reported that Musk was referring to his September 2025 post that said, "winning was never in the set of possible outcomes for Anthropic." I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon. And I would never cut them off in a way that hurt them badly, even as a competitor.... -- Elon Musk (@elonmusk) July 9, 2026 Musk added that he would not cut off Anthropic's access in a damaging way, even though Anthropic competes with his own AI business. "I would never cut them off in a way that hurt them badly, even as a competitor. That's not my style," he wrote. He cited Tesla's patent pledge, its decision to open the Supercharger network to rivals, SpaceX's pricing for competing satellite launches and X's tolerance for criticism as examples of what he called fair competition. "Even my worst enemies can attack me on this platform," Musk wrote. Anthropic Depends On SpaceXAI Compute Deal The exchange followed a claim on X that SpaceXAI now runs a frontier model competitive with Anthropic's Opus 4.8 while Anthropic depends on short-term compute leased from SpaceXAI. Anthropic signed a May deal for 300 megawatts of compute from xAI's Colossus 1 data center near Memphis, Tennessee, paying $1.25 billion a month through May 2029. SpaceXAI said in May that the partnership gives Anthropic access to Colossus 1, which includes more than 220,000 Nvidia GPUs and is designed for AI training, fine-tuning, inference and high-performance computing. SpaceXAI also said Anthropic plans to use the compute to improve capacity for Claude Pro and Claude Max subscribers.
In SpaceX, OpenAI, Anthropic IPOs, how a funding tap could open for Indian start-ups
SpaceX's $75-billion Initial Public Offering (IPO) last month made it the world's largest listing, well ahead of the $25.6 billion raised by Saudi Aramco in late 2019. What SpaceX's IPO also did was to set the stage for what may be equally gargantuan listings in the artificial intelligence (AI) space: OpenAI and Anthropic. And the returns from these three IPOs could open the tap for thirsty Indian start-ups. According to data compiled by private market intelligence platform Tracxn for The Indian Express, the 54 Private Equity (PE) and Venture Capital (VC) firms that have backed SpaceX, Anthropic, and OpenAI have deployed $57.8 billion across 1,376 rounds in Indian technology companies between 2016 and June 2026. Investments in Indian space-tech firms have been just $160 million, with 12 of the 54 participating in four rounds. Apart from validating Elon Musk's confidence in his space-plus-AI company, SpaceX's IPO also made profits for those PE firms and VCs who invested early enough. Consider, for instance, Peter Thiel's Founders Fund, whose $600 million investment in SpaceX was worth more than $50 billion at the company's IPO price of $135, according to a Bloomberg report, which added that Andreessen Horowitz's return from its investment in SpaceX would be the biggest in its history. SpaceX's IPO valued it at $1.8 trillion. In June, both Anthropic and OpenAI had confidentially filed for a listing. While the latter wants to be valued at $1 trillion in its IPO, Anthropic in May said it had raised $65 billion at a valuation of $965 billion. Explained | AI giants, SpaceX gear up for IPOs: Are these companies overvalued, and can Indians invest in them "Historically, successful exits have strengthened the ability of VC and PE firms to raise larger successor funds," said Neha Singh, Tracxn's Co-founder. "Given that India already features in the active portfolios of these 54 firms, a recovery in investment activity is plausible as fresh capital is raised and redeployed." At the same time, Singh cautioned that it is difficult to estimate how much capital may come to India as IPO proceeds are primarily distributed to Limited Partners rather than directly increasing General Partner deployment capacity. The scope However, there are "early signs of capital recycling". Story continues below this ad Take, for instance, Chicago-based VC firm Valor Equity Partners, whose 4% stake in SpaceX was worth around $70 billion at the IPO price. According to reports, Valor is looking to raise $2.5 billion by the end of 2026. But whether any of that money will reach Indian shores is up in the air given Valor's focus on deep tech, defence, and late-stage AI infrastructure in the US, Singh of Tracxn said. Also in Explained | Orbital data centres, extraterrestrial energy: Detailing Musk's ambitions with $1.75 bn SpaceX IPO "As a result, any meaningful increase in India allocations is more likely to emerge over the medium term as successor funds are raised and deployed, rather than as an immediate post-IPO outcome," she added. According to private capital data provider PitchBook, liquidity conditions in Asia-Pacific are improving. This suggests "the region's capital recycling cycle is beginning to repair after several years of constrained realisations," it said in a report late last month. Earlier this year in February, Peak XV had said it had raised $1.3 billion for its new India Seed, India Venture, and APAC funds. Story continues below this ad To be sure, there are differences in how the SpaceX-Anthropic-OpenAI investors have poured money into US and Indian firms. In India, while 71% of the investments of these 54 firms have been at the seed or early stage, 93% of the money in companies such as SpaceX, Anthropic, and OpenAI was at the late-stage. This, Singh of Tracxn said, reflects a "deliberate strategy of concentrating capital behind a small number of category-defining companies rather than following their typical investment pattern" which sees them invest just 12% at the late stage across the US portfolio. Whatever the money and stage, overseas funds will be welcomed not just by the start-ups but even Indian policymakers, with the Indian economy seemingly having sleepwalked into an exodus of foreign capital over the last couple of years as repatriation of past investments piled up rapidly, totalling $150 billion over 2023-24, 2024-25, and 2025-26. This is equal to 61% of gross Foreign Direct Investment (FDI) into the country, resulting in net FDI over the aforementioned three years being a mere $18 billion. Story continues below this ad In 2025-26, Indian start-ups raised $11.7 billion, down 18% from the previous year, according to Tracxn. As it is, private credit is becoming increasingly popular, with Moody's Ratings estimating the size of the Indian market doubled in the last five years to $25 billion at the end of 2025.
Palantir CEO has a blunt verdict on OpenAI and Anthropic
Palantir posted the highest revenue growth rate in its history in the first quarter of fiscal year 2026. U.S. commercial revenue jumped 133%. The company raised its full-year guidance by 10 points. By any operational measure, things are going well. And yet Alex Karp walked onto CNBC's Squawk Box and started criticizing the entire foundation of the AI business model. He wasn't talking about Palantir's competitors in the traditional sense. He was talking about the companies whose technology his own platform runs on top of. "I'm not throwing shade at them," he told viewers, "but something has gone completely wrong." What Karp said about OpenAI and Anthropic on live television The problem, in Karp's telling, is tokens. The way OpenAI and Anthropic sell AI access, metered by token consumption, has created a dynamic he says enterprises are increasingly fed up with. "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens, I'm gonna get no value, and they're gonna get my IP," Karp told CNBC. When co-anchor Andrew Ross Sorkin said "that sounds like shade," Karp pushed back: "No, no. This is reporting." He said customers are shifting away from what he called "tokenmaxxing" toward open-weight models that deliver similar output at a fraction of the cost. The ROI conversation is changing. Enterprises are asking harder questions about what they are actually getting for what they are spending, and a lot of them are not liking the answer. Palantir's stock rose 8% that day. Before the interview, the company had published a 9-point "AI sovereignty" manifesto on X, setting the philosophical stage for what Karp was about to say publicly. Why Karp says data ownership is the real AI fight The deeper argument Karp made was about control. Enterprises and governments, he said, want to own their compute, their models, their data stack, and their alpha. The word he kept coming back to was ownership. "They want to know they own the means of production. It's not being transferred to someone else." That framing extended into territory that goes well beyond enterprise software. Karp said it would be "insane" to hand battlefield or government applications entirely over to AI labs, effectively outsourcing sensitive decisions to a small group of Silicon Valley companies operating by consensus.
Anthropic Acknowledges $16.6 Million Billing Error, User Reveals Repeated Charge Attempts Blocked Bank Card, Four-Day Support Ordeal
South Korean user says repeated charge attempts continued after Anthropic admitted a $16.6m billing error. A South Korean Claude user says Anthropic's erroneous £12.2 million ($16.6 million, about ₩22.8 billion) billing demand led to repeated charge attempts that blocked his primary credit card, even after the company admitted the mistake. He says he then spent four days trying to get a clear response from support as he sought confirmation that the invalid invoices had been cancelled and his account cleared. The incident first came to light after the user, who said he was on Anthropic's free tier with no billable API usage, revealed invoices that escalated from about £1.23 million ($1.67 million) to £12.2 million ($16.6 million) within 24 hours. Anthropic has since confirmed the billing error and said no money was taken, while the user's latest posts describe the disruption that followed and his efforts to resolve it. 'It Wasn't Handled Properly' The user said the billing error became a customer support issue long after the invoices were issued. In updates shared on Threads, he said he contacted Anthropic repeatedly over four days, sending about 18 emails as he sought confirmation that the charges had been cancelled and his account had been cleared. He said repeated payment attempts reached his bank and resulted in his primary credit card being blocked, despite no money ultimately leaving the account. 'I still think it wasn't handled properly,' he wrote. The user said he expected a more urgent response given the size of the erroneous invoices. 'It seems like the urgent fire has been put out, but personally, I don't understand how they could release an automatic email after causing a billions-won invoice error,' he wrote. Even after the case was escalated, the notification advising that a human would review the matter came from Anthropic's Fin AI Agent, informing him that the issue had been forwarded to the company's Privacy Team. Anthropic Admits Billing Mistake And Explains What Went Wrong Anthropic later told the customer that an incorrect auto-reload setting had generated invalid payment requests. In an email shared by the user, the company said it disabled the setting as a precaution, restored the account's billing configuration and confirmed that no funds had been collected. 'No money left your account,' Anthropic said. 'Our payment processor attempted a charge at the invalid amount and it was declined... Nothing was collected, and you owe nothing.' The company also said the incident 'was not the result of unauthorized access' and advised the user to re-enable the auto-reload feature if he wished to continue using automatic API credit top-ups. Invoice Jumped More Than £11 Million In Just 24 Hours The dispute began on 7 July when the user received a failed payment notice seeking about £1.23 million ($1.67 million). Less than a day later, a second invoice arrived requesting £12.2 million ($16.6 million, about ₩22.8 billion). Because both payment notices came through Anthropic's official billing system and Stripe, the company's payment processor, the user said he initially investigated whether one of his own AI automation projects could somehow have generated the charges. After inspecting his AI agents, automation scripts, scheduled tasks and account credentials, he said he found no billable Anthropic API keys or other evidence that could explain the invoices. As a precaution, he cancelled his Claude Max subscription and suspended the payment card linked to the account. 'I'll Follow Up' The user said he plans to continue documenting the incident while waiting for additional responses from Anthropic. In a Threads update posted after receiving the company's explanation, he said he had sent a total of 18 emails and asked Anthropic to respond by Monday afternoon Korean time. 'I have scheduled a meeting with the reporter, and I think I can tell you more details around Tuesday afternoon or Wednesday,' he wrote. He also encouraged others to reference his experience, adding: 'If you don't mind, you can share the conversation or use the article as a reference... Just be careful not to distort the information.'
SpaceX's AI empire is built on data centers, not satellites - Cryptopolitan
Analysts caution that the contracts carry termination clauses and that space computing is still 10 years or more away. SpaceX's AI returns over the next few years will not come from space. According to Wall Street analysts, the money is coming from Earth data centers rather than the orbital compute that Elon Musk has promised. This reframes SpaceX (NASDAQ: SPCX) as primarily an infrastructure company. Space computing is a bet for the future, not now, for anyone considering SpaceX as an AI play. SpaceX already charges for computing. Reuters reported that the company signed enterprise deals for its Colossus supercomputer clusters with Anthropic, Alphabet's Google, and Reflection AI. Those contracts alone are expected to generate more than $28 billion annually. SpaceX's AI revenue in 2025 is ~$3.2 billion, which is significantly higher than the new deals. The compute contracts also outperformed SpaceX's earnings from rocket launches and Starlink, when counted separately. The contracts, however, include termination clauses, so analysts caution against reading them as recurring revenue. What SpaceX spent to get here SpaceX invested ~$18 billion in AI infrastructure and research in 2025. According to company filings, ~$12.7 billion was spent on capital expenditures and $5.1 billion on research and development. That expenditure outpaced spending on space and connectivity lines. Colossus and a second cluster, Colossus II, together provide ~1 gigawatt of AI compute. That makes SpaceX one of the world's largest compute operators. J.P. Morgan predicts that terrestrial capacity will reach ~9 gigawatts by 2029, which is equivalent to four times the output of the Hoover Dam. Brokerages cited by Reuters pointed to its $60 billion purchase of AI coding startup Cursor as a sign the company wants to sell AI applications, not just the machines that run them. The deal ties into Musk's model plans on the software side. A separate Cryptopolitan report said Musk's lab, now renamed SpaceXAI, built its Grok 4.5 model jointly with Cursor, and Musk has said SpaceX is buying the startup for that same $60 billion figure. Why orbit is still a distant bet Musk has proposed a future in which computers run in space. Analysts Reuters spoke with view this as a later chapter. "The narrative that (orbital) will fundamentally disrupt terrestrial data centers is a little bit overblown," said Anthony Milovantsev, a partner at consultancy Altman Solon, who estimated that any real displacement of ground-based data centers would take "ten years plus." The case is based on hardware that does not currently exist at scale. Orbital computing relies on SpaceX's Starship flying frequently and cheaply, lower launch costs, and better satellites, according to analysts. Ground clusters continue to run regardless of direction. BofA analysts were more blunt, calling the long term viability of orbital data centers "unproven and heavily reliant on key technological milestones that have yet to be realized." If the engineering is delivered, the appeal will be valid. Starships could eventually launch solar computing satellites into orbit, avoiding ground based costs such as energy, cooling, and land use. Analysts aren't asking if SpaceX can build and sell AI infrastructure. J.P. Morgan's estimate of ~9 gigawatts in 2029 remains the benchmark for establishing a business beyond Earth.
Prediction: SpaceX Shares Can Reach $220 by End of 2026
Space Exploration Technologies (NASDAQ: SPCX) has become one of the market's most closely watched stocks after its rapid entry into the Nasdaq-100 index on July 7. Shares are trading close to $149 (as of July 10), still above its $135 IPO price, but nearly 34% below its post-IPO high of $225.60. This share price pullback has not ended investor interest in SpaceX, but it has changed the debate. Investors are now weighing the company's artificial intelligence (AI) compute opportunity, Starlink satellite internet network's room to expand in satellite communications, and progress on the next-generation reusable rocket system, Starship, as they assess where the stock could trade by the end of 2026. 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 " Image source: Getty Images. SpaceX has growth drivers for its revenue SpaceX is already demonstrating impressive financial momentum. Revenue rose 33% year over year to $18.7 billion in 2025. But the company still reported a net loss of $4.9 billion after merging with money-losing xAI. Starlink remains the key growth engine, supported by roughly 10.3 million users and 9,600 satellites. But AI infrastructure is also becoming the next major catalyst. Alphabet has agreed to pay SpaceX $920 million per month from October 2026 through June 2029 for access to about 110,000 Nvidia GPUs and related computing resources. Anthropic has also signed a major compute-access deal with SpaceX, securing use of SpaceX's Colossus 1 data center. Reuters reported that SpaceX's two deals are worth about $26 billion annually if fully realized. Although not all the AI revenue from these deals is expected to materialize in 2026, it still gives investors a reason to value SpaceX based on future revenue potential rather than solely on 2025 sales. SpaceX's valuation will fall, but remain expensive At the end of 2026, investors will likely be looking toward SpaceX's expected 2027 revenue, since the stock's valuation depends on how quickly Starlink, AI compute, and Starship can expand the company's sales base. SpaceX's market capitalization is close to $2 trillion. Analysts' 2026 revenue estimates range from $34.3 billion on the low end to $43.2 billion on the high end, with a base case estimate of about $38.9 billion. Hence, SpaceX is already trading at roughly 51.4 times base case 2026 sales. By the end of 2026, that multiple will most likely compress, as post-IPO excitement usually cools and investors demand evidence of execution. But it also does not need to collapse if SpaceX continues to show progress in Starlink, AI infrastructure, and Starship. A reasonable base-case assumption is that SpaceX's sales multiple compresses by about 20% to 25% from today's 51.4x 2026 sales multiple. That gives a forward price-to-sales (P/S) multiple range of roughly 38.5 to 41 times expected 2027 sales. Analysts expect SpaceX's 2027 revenue to range from $54.8 billion to $85 billion, with an average estimate of $72.4 billion. Applying a forward sales multiple of 38.5 to 41 times to the 2027 base case revenue estimate yields an implied market capitalization of about $2.79 trillion to $2.97 trillion. Using roughly 13.1 billion shares outstanding, that points to a share price in the range of $213 to $227 at the end of 2026. Hence, $220 is a reasonable base case estimate. It assumes that while SpaceX's valuation multiple compresses, revenue growth offsets the pressure enough to lift the share price. 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See the 10 stocks " *Stock Advisor returns as of July 12, 2026. Manali Pradhan, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Nvidia. The Motley Fool has a disclosure policy. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Prediction: SpaceX Shares Can Reach $220 by End of 2026
Space Exploration Technologies (SPCX 4.51%) has become one of the market's most closely watched stocks after its rapid entry into the Nasdaq-100 index on July 7. Shares are trading close to $149 (as of July 10), still above its $135 IPO price, but nearly 34% below its post-IPO high of $225.60. This share price pullback has not ended investor interest in SpaceX, but it has changed the debate. Investors are now weighing the company's artificial intelligence (AI) compute opportunity, Starlink satellite internet network's room to expand in satellite communications, and progress on the next-generation reusable rocket system, Starship, as they assess where the stock could trade by the end of 2026. SpaceX has growth drivers for its revenue SpaceX is already demonstrating impressive financial momentum. Revenue rose 33% year over year to $18.7 billion in 2025. But the company still reported a net loss of $4.9 billion after merging with money-losing xAI. Starlink remains the key growth engine, supported by roughly 10.3 million users and 9,600 satellites. But AI infrastructure is also becoming the next major catalyst. Alphabet has agreed to pay SpaceX $920 million per month from October 2026 through June 2029 for access to about 110,000 Nvidia GPUs and related computing resources. Anthropic has also signed a major compute-access deal with SpaceX, securing use of SpaceX's Colossus 1 data center. Reuters reported that SpaceX's two deals are worth about $26 billion annually if fully realized. Although not all the AI revenue from these deals is expected to materialize in 2026, it still gives investors a reason to value SpaceX based on future revenue potential rather than solely on 2025 sales. SpaceX's valuation will fall, but remain expensive At the end of 2026, investors will likely be looking toward SpaceX's expected 2027 revenue, since the stock's valuation depends on how quickly Starlink, AI compute, and Starship can expand the company's sales base. SpaceX's market capitalization is close to $2 trillion. Analysts' 2026 revenue estimates range from $34.3 billion on the low end to $43.2 billion on the high end, with a base case estimate of about $38.9 billion. Hence, SpaceX is already trading at roughly 51.4 times base case 2026 sales. By the end of 2026, that multiple will most likely compress, as post-IPO excitement usually cools and investors demand evidence of execution. But it also does not need to collapse if SpaceX continues to show progress in Starlink, AI infrastructure, and Starship. A reasonable base-case assumption is that SpaceX's sales multiple compresses by about 20% to 25% from today's 51.4x 2026 sales multiple. That gives a forward price-to-sales (P/S) multiple range of roughly 38.5 to 41 times expected 2027 sales. Analysts expect SpaceX's 2027 revenue to range from $54.8 billion to $85 billion, with an average estimate of $72.4 billion. Applying a forward sales multiple of 38.5 to 41 times to the 2027 base case revenue estimate yields an implied market capitalization of about $2.79 trillion to $2.97 trillion. Using roughly 13.1 billion shares outstanding, that points to a share price in the range of $213 to $227 at the end of 2026. Hence, $220 is a reasonable base case estimate. It assumes that while SpaceX's valuation multiple compresses, revenue growth offsets the pressure enough to lift the share price.
Palantir CEO has a blunt verdict on OpenAI and Anthropic
Palantir posted the highest revenue growth rate in its history in the first quarter of fiscal year 2026. U.S. commercial revenue jumped 133%. The company raised its full-year guidance by 10 points. By any operational measure, things are going well. And yet Alex Karp walked onto CNBC's Squawk Box and started criticizing the entire foundation of the AI business model. He wasn't talking about Palantir's competitors in the traditional sense. He was talking about the companies whose technology his own platform runs on top of. "I'm not throwing shade at them," he told viewers, "but something has gone completely wrong." What Karp said about OpenAI and Anthropic on live television The problem, in Karp's telling, is tokens. The way OpenAI and Anthropic sell AI access, metered by token consumption, has created a dynamic he says enterprises are increasingly fed up with. "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens, I'm gonna get no value, and they're gonna get my IP," Karp told CNBC. When co-anchor Andrew Ross Sorkin said "that sounds like shade," Karp pushed back: "No, no. This is reporting." He said customers are shifting away from what he called "tokenmaxxing" toward open-weight models that deliver similar output at a fraction of the cost. The ROI conversation is changing. Enterprises are asking harder questions about what they are actually getting for what they are spending, and a lot of them are not liking the answer. Palantir's stock rose 8% that day. Before the interview, the company had published a 9-point "AI sovereignty" manifesto on X, setting the philosophical stage for what Karp was about to say publicly. Why Karp says data ownership is the real AI fight The deeper argument Karp made was about control. Enterprises and governments, he said, want to own their compute, their models, their data stack, and their alpha. The word he kept coming back to was ownership. "They want to know they own the means of production. It's not being transferred to someone else." That framing extended into territory that goes well beyond enterprise software. Karp said it would be "insane" to hand battlefield or government applications entirely over to AI labs, effectively outsourcing sensitive decisions to a small group of Silicon Valley companies operating by consensus. To illustrate where he thinks the market is going, Karp pointed to Palantir's expanded partnership with Nvidia, announced the same week, to build custom AI models for U.S. government agencies. "What aligns me with Nvidia... is what the technical customers want, which is control over their compute, their models, their data stack and their alpha," he said on CNBC. Palantir's Q1 2026 numbers and what they say about Karp's thesis Karp is making this argument from a position of real business momentum. Palantir's Q1 FY2026 revenue came in at $1.63 billion, up 85% year over year, the highest growth rate in company history. U.S. commercial revenue hit $595 million, up 133%. Adjusted operating margin expanded to 60% from 44% a year earlier. On the earnings call, Karp said Palantir's Rule of 40 score had hit 145%, which he called a feat matched only by Nvidia, Micron, and SK Hynix. Management raised annual revenue guidance to 71% growth, ten points above the prior quarter's forecast. U.S. commercial remaining deal value, meaning the potential value of contracted business yet to be recognized as revenue, reached $4.92 billion, up 112% year over year. Token-cost fatigue is showing up at real companies. Uber capped employee spending on agentic coding tools, including Claude Code and Cursor, at $1,500 per month after burning through its AI budget in four months, according to 24/7 Wall St. That is exactly the dynamic Karp is describing. The token model works until it doesn't, and for a growing number of enterprises, it has already stopped working. The Palantir valuation problem Karp's swagger can't quite solve The business is accelerating. The stock is down 28.67% year to date. Those two facts sitting next to each other tell you what the market's actual concern is, and it isn't whether enterprises want control of their data. Palantir closed at $126.79 on July 10 and trades at a forward P/E near 91. That multiple requires an enormous amount of future growth to be baked in and delivered. Even with 84.7% revenue growth, investors have spent most of 2026 asking whether that rate is sustainable or whether the stock got too far ahead of the business during last year's AI enthusiasm. Michael Burry disagrees. Scion Asset Management disclosed a put position tied to 5 million Palantir shares in its Q3 2025 13F, filed November 3, 2025. At the time, that represented an underlying notional of roughly $912 million, as TheStreet reported. 13Fs don't show strike prices, expiration dates, or whether the position is still open. But betting against $912 million worth of Palantir shares is not a casual trade. What Karp's OpenAI and Anthropic critique means for AI investors Karp's argument, if it holds up, has implications beyond Palantir's own stock. The token model underpins how OpenAI and Anthropic generate most of their enterprise revenue. If large customers are genuinely moving toward open-weight models and demanding more control over their infrastructure, that changes the growth assumptions for the closed-model AI companies more than the market has so far priced in. The counterargument is that Karp has an obvious commercial incentive to talk down token-based AI, since Palantir positions itself as the alternative. His numbers are real, but so is his motive. The enterprises he claims are frustrated may still be signing large contracts with OpenAI and Anthropic behind closed doors while also exploring Palantir's approach on the side. What July 1 made clear is that the business model debate inside the AI industry is getting louder, and the people doing the criticizing are no longer just academics or short sellers. They are CEOs running companies posting 84.7% revenue growth, with enough market credibility to move their own stock 8% with a single television appearance. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published July 12, 2026 at 4:37 PM.
Palantir CEO has a blunt verdict on OpenAI and Anthropic
Palantir posted the highest revenue growth rate in its history in the first quarter of fiscal year 2026. U.S. commercial revenue jumped 133%. The company raised its full-year guidance by 10 points. By any operational measure, things are going well. And yet Alex Karp walked onto CNBC's Squawk Box and started criticizing the entire foundation of the AI business model. He wasn't talking about Palantir's competitors in the traditional sense. He was talking about the companies whose technology his own platform runs on top of. "I'm not throwing shade at them," he told viewers, "but something has gone completely wrong." What Karp said about OpenAI and Anthropic on live television The problem, in Karp's telling, is tokens. The way OpenAI and Anthropic sell AI access, metered by token consumption, has created a dynamic he says enterprises are increasingly fed up with. "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens, I'm gonna get no value, and they're gonna get my IP," Karp told CNBC. When co-anchor Andrew Ross Sorkin said "that sounds like shade," Karp pushed back: "No, no. This is reporting." He said customers are shifting away from what he called "tokenmaxxing" toward open-weight models that deliver similar output at a fraction of the cost. The ROI conversation is changing. Enterprises are asking harder questions about what they are actually getting for what they are spending, and a lot of them are not liking the answer. Palantir's stock rose 8% that day. Before the interview, the company had published a 9-point "AI sovereignty" manifesto on X, setting the philosophical stage for what Karp was about to say publicly. Why Karp says data ownership is the real AI fight The deeper argument Karp made was about control. Enterprises and governments, he said, want to own their compute, their models, their data stack, and their alpha. The word he kept coming back to was ownership. "They want to know they own the means of production. It's not being transferred to someone else." That framing extended into territory that goes well beyond enterprise software. Karp said it would be "insane" to hand battlefield or government applications entirely over to AI labs, effectively outsourcing sensitive decisions to a small group of Silicon Valley companies operating by consensus. To illustrate where he thinks the market is going, Karp pointed to Palantir's expanded partnership with Nvidia, announced the same week, to build custom AI models for U.S. government agencies. "What aligns me with Nvidia... is what the technical customers want, which is control over their compute, their models, their data stack and their alpha," he said on CNBC. Palantir's Q1 2026 numbers and what they say about Karp's thesis Karp is making this argument from a position of real business momentum. Palantir's Q1 FY2026 revenue came in at $1.63 billion, up 85% year over year, the highest growth rate in company history. U.S. commercial revenue hit $595 million, up 133%. Adjusted operating margin expanded to 60% from 44% a year earlier. On the earnings call, Karp said Palantir's Rule of 40 score had hit 145%, which he called a feat matched only by Nvidia, Micron, and SK Hynix. Management raised annual revenue guidance to 71% growth, ten points above the prior quarter's forecast. U.S. commercial remaining deal value, meaning the potential value of contracted business yet to be recognized as revenue, reached $4.92 billion, up 112% year over year. Token-cost fatigue is showing up at real companies. Uber capped employee spending on agentic coding tools, including Claude Code and Cursor, at $1,500 per month after burning through its AI budget in four months, according to 24/7 Wall St. That is exactly the dynamic Karp is describing. The token model works until it doesn't, and for a growing number of enterprises, it has already stopped working. The Palantir valuation problem Karp's swagger can't quite solve The business is accelerating. The stock is down 28.67% year to date. Those two facts sitting next to each other tell you what the market's actual concern is, and it isn't whether enterprises want control of their data. Palantir closed at $126.79 on July 10 and trades at a forward P/E near 91. That multiple requires an enormous amount of future growth to be baked in and delivered. Even with 84.7% revenue growth, investors have spent most of 2026 asking whether that rate is sustainable or whether the stock got too far ahead of the business during last year's AI enthusiasm. Michael Burry disagrees. Scion Asset Management disclosed a put position tied to 5 million Palantir shares in its Q3 2025 13F, filed November 3, 2025. At the time, that represented an underlying notional of roughly $912 million, as TheStreet reported. 13Fs don't show strike prices, expiration dates, or whether the position is still open. But betting against $912 million worth of Palantir shares is not a casual trade. What Karp's OpenAI and Anthropic critique means for AI investors Karp's argument, if it holds up, has implications beyond Palantir's own stock. The token model underpins how OpenAI and Anthropic generate most of their enterprise revenue. If large customers are genuinely moving toward open-weight models and demanding more control over their infrastructure, that changes the growth assumptions for the closed-model AI companies more than the market has so far priced in. The counterargument is that Karp has an obvious commercial incentive to talk down token-based AI, since Palantir positions itself as the alternative. His numbers are real, but so is his motive. The enterprises he claims are frustrated may still be signing large contracts with OpenAI and Anthropic behind closed doors while also exploring Palantir's approach on the side. What July 1 made clear is that the business model debate inside the AI industry is getting louder, and the people doing the criticizing are no longer just academics or short sellers. They are CEOs running companies posting 84.7% revenue growth, with enough market credibility to move their own stock 8% with a single television appearance. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published July 12, 2026 at 4:37 PM.
Palantir CEO has a blunt verdict on OpenAI and Anthropic
Palantir posted the highest revenue growth rate in its history in the first quarter of fiscal year 2026. U.S. commercial revenue jumped 133%. The company raised its full-year guidance by 10 points. By any operational measure, things are going well. And yet Alex Karp walked onto CNBC's Squawk Box and started criticizing the entire foundation of the AI business model. He wasn't talking about Palantir's competitors in the traditional sense. He was talking about the companies whose technology his own platform runs on top of. "I'm not throwing shade at them," he told viewers, "but something has gone completely wrong." What Karp said about OpenAI and Anthropic on live television The problem, in Karp's telling, is tokens. The way OpenAI and Anthropic sell AI access, metered by token consumption, has created a dynamic he says enterprises are increasingly fed up with. "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens, I'm gonna get no value, and they're gonna get my IP," Karp told CNBC. When co-anchor Andrew Ross Sorkin said "that sounds like shade," Karp pushed back: "No, no. This is reporting." He said customers are shifting away from what he called "tokenmaxxing" toward open-weight models that deliver similar output at a fraction of the cost. The ROI conversation is changing. Enterprises are asking harder questions about what they are actually getting for what they are spending, and a lot of them are not liking the answer. Palantir's stock rose 8% that day. Before the interview, the company had published a 9-point "AI sovereignty" manifesto on X, setting the philosophical stage for what Karp was about to say publicly. Why Karp says data ownership is the real AI fight The deeper argument Karp made was about control. Enterprises and governments, he said, want to own their compute, their models, their data stack, and their alpha. The word he kept coming back to was ownership. "They want to know they own the means of production. It's not being transferred to someone else." That framing extended into territory that goes well beyond enterprise software. Karp said it would be "insane" to hand battlefield or government applications entirely over to AI labs, effectively outsourcing sensitive decisions to a small group of Silicon Valley companies operating by consensus. To illustrate where he thinks the market is going, Karp pointed to Palantir's expanded partnership with Nvidia, announced the same week, to build custom AI models for U.S. government agencies. "What aligns me with Nvidia... is what the technical customers want, which is control over their compute, their models, their data stack and their alpha," he said on CNBC. Palantir's Q1 2026 numbers and what they say about Karp's thesis Karp is making this argument from a position of real business momentum. Palantir's Q1 FY2026 revenue came in at $1.63 billion, up 85% year over year, the highest growth rate in company history. U.S. commercial revenue hit $595 million, up 133%. Adjusted operating margin expanded to 60% from 44% a year earlier. On the earnings call, Karp said Palantir's Rule of 40 score had hit 145%, which he called a feat matched only by Nvidia, Micron, and SK Hynix. Management raised annual revenue guidance to 71% growth, ten points above the prior quarter's forecast. U.S. commercial remaining deal value, meaning the potential value of contracted business yet to be recognized as revenue, reached $4.92 billion, up 112% year over year. Token-cost fatigue is showing up at real companies. Uber capped employee spending on agentic coding tools, including Claude Code and Cursor, at $1,500 per month after burning through its AI budget in four months, according to 24/7 Wall St. That is exactly the dynamic Karp is describing. The token model works until it doesn't, and for a growing number of enterprises, it has already stopped working. The Palantir valuation problem Karp's swagger can't quite solve The business is accelerating. The stock is down 28.67% year to date. Those two facts sitting next to each other tell you what the market's actual concern is, and it isn't whether enterprises want control of their data. Palantir closed at $126.79 on July 10 and trades at a forward P/E near 91. That multiple requires an enormous amount of future growth to be baked in and delivered. Even with 84.7% revenue growth, investors have spent most of 2026 asking whether that rate is sustainable or whether the stock got too far ahead of the business during last year's AI enthusiasm. Michael Burry disagrees. Scion Asset Management disclosed a put position tied to 5 million Palantir shares in its Q3 2025 13F, filed November 3, 2025. At the time, that represented an underlying notional of roughly $912 million, as TheStreet reported. 13Fs don't show strike prices, expiration dates, or whether the position is still open. But betting against $912 million worth of Palantir shares is not a casual trade. What Karp's OpenAI and Anthropic critique means for AI investors Karp's argument, if it holds up, has implications beyond Palantir's own stock. The token model underpins how OpenAI and Anthropic generate most of their enterprise revenue. If large customers are genuinely moving toward open-weight models and demanding more control over their infrastructure, that changes the growth assumptions for the closed-model AI companies more than the market has so far priced in. The counterargument is that Karp has an obvious commercial incentive to talk down token-based AI, since Palantir positions itself as the alternative. His numbers are real, but so is his motive. The enterprises he claims are frustrated may still be signing large contracts with OpenAI and Anthropic behind closed doors while also exploring Palantir's approach on the side. What July 1 made clear is that the business model debate inside the AI industry is getting louder, and the people doing the criticizing are no longer just academics or short sellers. They are CEOs running companies posting 84.7% revenue growth, with enough market credibility to move their own stock 8% with a single television appearance. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published July 12, 2026 at 4:37 PM.
S.F. protesters march on OpenAI, Anthropic and Google DeepMind to demand: 'Stop the AI race'
A crowd of protesters fiercely condemning artificial intelligence and the San Francisco companies that power the technology marched through the city -- the epicenter of AI development -- on Saturday to demand that the companies "stop the AI race." About 200 people carrying signs with messages like "stop slop," "it's not too late to regulate" and "in a race off a cliff no one wins," marched from offices of OpenAI to Anthropic and Google DeepMind to ask to their CEOs to collectively pause all new training of AI models. Protesters decried what they described as AI's role in rising rents, job losses and environmental damage, as well as existential threats to future generations. The rally was organized by Stop the AI Race, led by activist and former AI researcher Michaël Trazzi, who last year started a hunger strike outside Google DeepMind in London to draw attention to the demand to freeze AI development. (A parallel hunger strike took place outside Anthropic's office on Howard Street.) Protesters, who included students, people who work in AI and longtime San Franciscans, said they hoped their collective action would help increase public awareness and, in turn, ratchet up the pressure on AI companies to act. As they marched through downtown San Francisco, people in restaurants, on apartment balconies above the street or walking on the sidewalks stopped to take photos or videos. San Francisco Chronicle Logo See more S.F. Chronicle on Google Make us a Preferred Source to get more of our news when you search. Add Preferred Source "Protests can only do so much," said Aleesa Carbo, a Johns Hopkins University student and AI researcher. "But if we can make the public more aware, that can mobilize them to speak to their senators, speak to the government, to make their wishes known to the AI companies." Carbo is currently enrolled in MATS (Machine Learning Alignment & Theory Scholars), a prominent AI research fellowship whose graduates go on to found AI safety companies or work at companies such as Anthropic. She said she has pivoted her focus to AI safety. "I'm not against AI in principle, but I do think the way that companies are racing towards it is not in a very responsible manner," she said. "At the end of the day, these are dark boxes. Even us, the people who train these models, play with them, we don't fully understand them." Trazzi, who at one point led the crowd in chanting expletives against OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei, said the stakes are high. "We are in an emergency," he told the crowd. "The problem is they can't stop the race, unless other people stop." His organization is advocating for a global agreement to pause AI development, including from China. This would, in practice, mean current models remain available, but with "no new training runs of larger or more general frontier models," the Stop the AI Race website reads. "The teams currently working on improving the capabilities of these models would move to narrow AI applications or alignment research instead." The companies have not responded directly to Stop the AI Race's demand -- though the group often points to a January interview in which a Bloomberg journalist asked DeepMind CEO Demis Hassabis if he would advocate for a collective pause on development, and he said, "I think so." He said he had long envisioned an AI version of CERN, the European Organization for Nuclear Research, "where all the best minds in the world would collaborate together and do the final steps in a very rigorous, scientific way." "Unfortunately," he said, "you need international collaboration, though, because even if one company ... or even the West decided to do that, it has no use unless the whole world agrees." Duncan Haldane, the CEO of a San Francisco startup that uses AI to design circuit boards, said he came to the protest -- with his two children, ages 1 and 5, in a stroller -- to pressure the heads of prominent AI labs to acknowledge the technology's risk and commit to the pause. Haldane's company has benefited from AI, but he said he sees the technology as an "existential threat to humanity." "What they can do now is actually phenomenally dangerous and is going to affect society tremendously," he said. Dean Preston, a former San Francisco supervisor, criticized the "devastating" effects AI companies have had on the city, including soaring rents and housing prices, job loss, environmental "havoc" and political influence. "These tech CEOs view San Francisco as a trophy," he said, "as something to be exploited." He pointed to examples of people pushing back against AI throughout California, from Pittsburg residents protesting in June the construction of a 300,000-square-foot data center from AI developer Avaio Digital (which moved forward despite the public backlash) while voters in Monterey Park in Southern California agreed to permanently ban data centers, becoming the first U.S. city to do so. Some protesters said that, short of a global development pause, they hoped to see more local and state regulation of the artificial intelligence industry. "I would like to see the mayor and our Board of Supervisors start to regulate AI in the city," said Kathe Burick, a resident of San Francisco for 50 years. "Shut them down if they need to, or demand a pause or they can't operate in town." She said the race toward AI without sufficient regulatory guardrails reminds her of the famous scene in the film "2001: A Space Odyssey," when astronaut Dave Bowman asks the HAL 9000 computer to open the pod bay doors after HAL discovers the crew's plan to disconnect him, and HAL responds, "I'm afraid I can't do that." In March, Burick went to a Stop the AI Race demonstration at OpenAI that she said drew only about 30 people. She was heartened by the larger turnout Saturday, especially seeing throngs of young people. "To see this gives me hope," she said.
Anthropic rumored to unveil AI model surpassing GPT-5.6 SOL next week
A speculative post on social media suggests that Anthropic could release a new, more affordable AI model next week that surpasses OpenAI's GPT-5.6 Sol in intelligence and cost. The claim, made by user @cryptopunk7213, remains unverified as there has been no official confirmation from Anthropic. Currently, Anthropic's leading model is Claude Fable 5, available globally since July 1, following the easing of export controls. This speculation comes amid intense competition in the AI sector, with OpenAI's GPT-5.6 Sol leading recent benchmarks and priced more competitively than its rivals. Key Takeaways * The social media claim suggests Anthropic might introduce a model that outperforms GPT-5.6 Sol, affecting AI market dynamics. * Market pricing indicates a potential increase in confidence in Anthropic's ability to secure a top position in the AI landscape. * The claim lacks official corroboration, emphasizing the speculative nature of the information. What to Watch Monitor Anthropic for any official announcements or developments regarding a new AI model release. Any confirmation from Anthropic could significantly impact the current market odds, which appear supportive of Anthropic securing a top-three position by the end of July 2026. Additionally, observe reactions from competitors like OpenAI, which may respond with strategic adjustments or announcements to maintain their competitive edge. Get live prediction-market analysis, powered by Vera. Sign up for Vera.
Palantir CEO: "Something Has Gone Completely Wrong" With OpenAI and Anthropic
* Karp slammed OpenAI and Anthropic's token model as broken while PLTR posted 85% revenue growth and raised full-year guidance to 71%. * Palantir expanded its NVDA partnership for custom government AI models as enterprises like UBER push back on runaway token costs. * Despite explosive growth, PLTR trades at 91x forward earnings and is down 29% YTD, with Michael Burry holding puts on 5 million shares. * This lithium producer surpassed a $1B private valuation, joining some of America's most powerful startups. Now you can invest in EnergyX alongside global giants like General Motors, but only through July 16. (sponsor) Palantir CEO Alex Karp used a July 1 appearance on CNBC's Squawk Box to criticize the closed-model AI economy. He told viewers that when it comes to OpenAI and Anthropic, all is not well inside the AI boom. "I'm not throwing shade at them, but something has gone completely wrong." Shares of Palantir (NASDAQ:PLTR) rose 8% that day as Karp reframed the AI debate around token economics and data ownership. The Quote That Moved the Stock Karp's argument was that businesses are exhausted by paying for tokens. As he put it: "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens." According to CNBC's Samantha Subin, Karp took aim at the token model used by OpenAI and Anthropic as AI costs skyrocket. He further argued customers are shifting away from "tokenmaxxing" toward ROI and open-weight models that deliver similar work at a fraction of the cost. July 16 is the Final Day to Tap Into the Lithium Boom (sponsor) General Motors, POSCO, and 50,000+ everyday investors have already backed lithium producer EnergyX. Here's why you should do the same before their July 16 investment deadline: lithium prices are up 75% this year, with demand projected to grow a staggering 5X by 2040. With tech that can recover up to 3X more lithium than traditional methods, EnergyX is preparing to unlock up to 15M+ tons. Become a private-stage EnergyX investor before the July 16 deadline. Ahead of the interview, Palantir posted a 9-point "AI sovereignty" manifesto on X. Earlier that week, the company expanded its partnership with Nvidia (Nasdaq: NVDA) to build custom models for U.S. government agencies. Karp's framing of that alliance was revealing: "What aligns me with Nvidia, and I think is what the technical customers want, which is control over their compute, their models, their data stack and their alpha. They want to know they own the means of production. It's not being transferred to someone else."
Palantir CEO: "Something Has Gone Completely Wrong" With OpenAI and Anthropic
Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks -- and Palantir didn't make the cut. Grab the names FREE today. Palantir CEO Alex Karp used a July 1 appearance on CNBC's Squawk Box to criticize the closed-model AI economy. He told viewers that when it comes to OpenAI and Anthropic, all is not well inside the AI boom. "I'm not throwing shade at them, but something has gone completely wrong." Shares of Palantir (NASDAQ:PLTR | PLTR Price Prediction) rose 8% that day as Karp reframed the AI debate around token economics and data ownership. The Quote That Moved the Stock Karp's argument was that businesses are exhausted by paying for tokens. As he put it: "The basic view among enterprises in this country is I'm going to chillax and waste my time with tokens." According to CNBC's Samantha Subin, Karp took aim at the token model used by OpenAI and Anthropic as AI costs skyrocket. He further argued customers are shifting away from "tokenmaxxing" toward ROI and open-weight models that deliver similar work at a fraction of the cost. Ahead of the interview, Palantir posted a 9-point "AI sovereignty" manifesto on X. Earlier that week, the company expanded its partnership with Nvidia (Nasdaq: NVDA) to build custom models for U.S. government agencies. Karp's framing of that alliance was revealing: "What aligns me with Nvidia, and I think is what the technical customers want, which is control over their compute, their models, their data stack and their alpha. They want to know they own the means of production. It's not being transferred to someone else." The Numbers Backing the Swagger Karp speaks from strength. Palantir's Q1 FY2026 report showed record revenue of $1.63 billion, up 84.7% year over year, the highest growth rate in company history. U.S. commercial revenue jumped 133% to $595 million, and adjusted operating margin expanded to 60% from 44%. Karp put it this way on the call: "Palantir's Rule of 40 score has soared to 145%. We have shattered the metric, a feat matched only by other fellow AI infrastructure companies: NVIDIA, Micron and SK hynix." Management raised annual revenue guidance to 71% growth, 10 points ahead of the prior quarter's forecast. Shares of NVIDIA (NASDAQ:NVDA), Karp's partner in the sovereignty pitch, are up 13.1% year to date. Token-cost fatigue is showing across businesses: Uber (NYSE:UBER) has reportedly capped employee spending at $1,500 per month for each agentic coding tool, including Claude Code and Cursor, after blowing through its AI budget in four months. For readers tracking the picks-and-shovels layer of this shift, our team's AI infrastructure research maps the suppliers benefiting most. The Disconnect and the Bear Case Palantir shares closed at $126.79 on July 10. The stock is down 28.67% year to date, even as operations accelerate. The stock trades at a forward P/E near 91, and Michael Burry's Scion Asset Management disclosed a new put position tied to 5,000,000 Palantir shares in its Q3 2025 13F filed November 3, 2025, an underlying notional of about $912 million. 13Fs don't disclose strikes, expirations, or whether the position is still open. What to watch: whether the "own the means of production" pitch keeps pulling U.S. commercial customers. Palantir's U.S. commercial remaining deal value (RDV), a measure of contracted business still left to recognize, reached $4.92 billion in the latest quarter, up 112% from a year earlier. Contact [email protected] for any questions or corrections.
Jim Cramer: "Anthropic Is the Winner Now" as Enterprises Move to Slash Tech Budgets in Half
* Cramer called Anthropic the enterprise AI profit winner as CRM sinks 37% and MU surges 233% on exploding memory demand. * Starbucks evaluating a 50% cut to its $400 million tech budget signals every SaaS incumbent faces imminent re-underwriting. * Chinese open-source AI models pose the biggest threat to Anthropic's pricing power if CFOs find cheaper tokens that clear their ROI bar. * Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks -- and Salesforce didn't make the cut. Grab the names FREE today. On CNBC's Squawk on the Street on July 9, 2026, Jim Cramer argued that the real profit engine of the enterprise AI wave sits at the model layer, which is collecting the checks hyperscalers are writing. "Anthropic is the one that's actually making a lot of money doing some work on Salesforce," Cramer said, going on to call the company "the winner now" even as he added, "I don't like them. They're bullies. Anthropic. They're doing very well." Cramer paired the Anthropic call with a warning that enterprise software budgets are about to get squeezed. He cited Starbucks, which under CEO Brian Niccol is spending roughly $400 million on tech and evaluating cuts of up to 50%. If large customers like Starbucks are willing to review major tech spending and consider deep cuts, SaaS incumbents may face the tougher question of whether AI agents will generate enough new revenue before they start replacing old software seats. The Three AI Spending Buckets: Cybersecurity, Memory, and Tokens Cramer leaned on a framework he attributed to Key analyst Jack Snader: enterprises are funneling AI dollars into three categories, in order: cybersecurity, memory hardware, and tokens. "They're calling in George Kurtz," (CrowdStrike's CEO) Cramer said of the first wave. "Cyber... cybersecurity. And then next is actually hardware. And that's why we see Micron go up." He also flagged that Anthropic salespeople have been told to throttle back due to token constraints, a demand signal that speaks louder than any guide-up. Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks -- and Salesforce didn't make the cut. Grab the names FREE today. Salesforce Is Caught in the Budget-Cut Crosshairs Salesforce (NYSE:CRM) sits directly in the crosshairs of the Starbucks-style budget review. Marc Benioff's defense is Agentforce, which he described as "the biggest growth opportunity for our customers, and for Salesforce." The numbers back the pivot: Agentforce ARR hit $1.2 billion in Q1 FY27, up 205% YoY, with combined Agentforce and Data 360 ARR of roughly $3.4 billion. The stock tells the other side of the story CRM shares are down 36.79% year-to-date and 38.60% over one year, trading around $162. Investors are asking whether agents will replace seats faster than Salesforce can monetize them.
Billionaires warned New York would scare off business. Anthropic and Airbnb just made their biggest bets on the city yet
Some billionaires have spent the past year warning that New York City's political climate could scare away companies, capital, and high earners. But two fast-growing brands are moving in despite the noise. Anthropic is leasing an entire 16-story office building at 330 Hudson Street in Manhattan, dramatically expanding Anthropic's New York footprint from a much smaller office (just around the corner, at 155 Sixth Avenue), and announcing the company is planning to double its workforce in the city. The Claude-maker, which had less than 500 employees in the city at the beginning of this year, expects to occupy all 16 floors of the building -- enough space for 1,700 desks -- and expects to have more than 1,000 employees by the end of the year. The company is currently hiring for roles in New York across research, engineering, policy, sales, and operations. "New York is one of the main hubs for how AI is being put to work, and Anthropic is in the middle of it as a technology partner to the financial institutions, media companies, and cultural organizations that help define the city," Anthropic chief commercial officer Paul Smith told the New York Post in a statement. "Doubling our team here and deepening our long-term commitment to the city will allow us to sit closer to that work, and to the people driving it forward." Simultaneously, Airbnb is making a major real estate bet on New York of its own. The company purchased 281 Park Avenue South, a six-story building in Gramercy, for $81.5 million, according to The Wall Street Journal. The building is expected to serve as a hub for Airbnb's New York-area workforce, which numbers more than 600 employees. "New York City has been part of our story since the earliest days of Airbnb," CEO Brian Chesky said in a statement to AM New York. "This building reflects our long-term commitment to the city and will be home to one of our largest employee hubs outside of San Francisco. We're excited to keep investing in the city and the people who make it extraordinary." Anthropic and Airbnb's moves defy Mamdani naysayers' predictions The moves fly completely in the face of narratives put forward proclaiming New York City is becoming inhospitable to business. Billionaire investor Bill Ackman warned last year that if Zohran Mamdani became mayor, "You're going to see the flight of businesses from New York." Citadel founder Ken Griffin has also urged New York business leaders to "fight for their city," warning that political choices could push talent elsewhere. Griffin himself has had a public feud with the mayor following a Tax Day video in which the young, self-described Democratic Socialist called out Griffin's penthouse apartment as the prime example of why the city would benefit from a pied-a-terre tax. Griffin's CCO at Citadel responded in a letter to investors that the company may decide to halt construction of a $6 billion building in midtown Manhattan -- something that has never actualized.
Elon Musk Thinks SpaceX Could Become More Valuable Than Earth Itself
Businessman and Tesla CEO Elon Musk has once again captured the world's attention with one of his most audacious statements yet. In an address to skepticism surrounding a major compute partnership between Anthropic and SpaceX/xAI, Musk declared that his rocket company will eventually be worth more than the rest of Earth if it accomplishes its long-term objectives. In a post on X, he wrote, "You don't seem to understand that SpaceX will be worth more than the rest of Earth if we accomplish our goals." Musk's comment came in response to analyst Thomas D. who questioned whether Anthropic's reported $7.5-40 billion deal with SpaceX-related entities represented an "unforced error." The deal reportedly grants Anthropic access to significant AI compute capacity at SpaceX's facilities, including the Colossus 1 data center. The remark, made in response to a skeptic, emphasizes SpaceX's long-term potential in space infrastructure, Mars colonization, and related technologies, framing it as vastly more significant than short-term AI deals or competition. This highlights Musk's broader vision where space ambitions could dwarf terrestrial economies, amid discussions on xAI's rapid progress with models like Grok 4.5. Musk's latest prediction builds on these achievements while pointing toward far greater ambitions, establishing a self-sustaining colony on Mars and making life multiplanetary. The vision is not merely about sending astronauts on occasional trips. Musk has repeatedly emphasized that SpaceX aims to enable ordinary people to travel to the Moon, Mars, and beyond, creating an entirely new branch of the economy rooted in space resources, orbital manufacturing, and interplanetary trade. Critics have been quick to question the feasibility and the sheer scale of such a valuation claim. SpaceX's Soaring Valuation and Recent IPO SpaceX, which recently completed its high-profile initial public offering and carries a market valuation around $1.75 trillion, is already among the most valuable companies on the planet. Its rapid rise has been fueled by reusable rocket technology, the Starlink satellite internet constellation that now serves millions of users worldwide, and the development of the massive Starship vehicle designed for deep-space missions. Musk's statement arrives amid extraordinary momentum for SpaceX. The company went public in June 2026 in what became the largest IPO in history, raising approximately $75-85.7 billion. Shares surged post-listing, pushing the market capitalization above $2 trillion and briefly surpassing major tech giants like Amazon. Musk has long framed SpaceX's mission as making humanity multi-planetary, with Starship as the key vehicle for Mars colonization, lunar bases, and large-scale space infrastructure. Achieving routine, low-cost access to orbit and beyond could unlock new industries, orbital manufacturing, asteroid mining, space-based solar power, and a vastly expanded satellite economy. Analysts and enthusiasts speculate that dominating launch capacity, global broadband via Starlink, and space-based AI/compute could transform SpaceX into the backbone of an off-world economy. Some optimistic forecasts suggest potential valuations in the trillions more if these goals materialize, effectively dwarfing Earth's current economic output in relative terms as new frontiers open. Yet Musk's track record with Tesla and SpaceX has shown that seemingly impossible timelines can accelerate dramatically when innovation compounds. Whether Musk's forecast proves overly optimistic, it highlights a fundamental shift in how we view our future. For him, space is not just a frontier for exploration, it represents the next chapter of human prosperity and survival. As SpaceX pushes the boundaries of what's technically and economically possible, the conversation about humanity's place in the cosmos grows louder.
