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U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O'Rourke, chief market strategist at JonesTrading. The S&P 500 Software and Services Index is down nearly 26% this year, including Thursday's 3.1% drop, on worries that rapid progress in AI could hit SaaS (software-as-a-service) companies that sell subscription-based products to clients. Cybersecurity firms Cloudflare, Okta, CrowdStrike and SentinelOne dropped between 4.7% and 7.7% in morning trade. Zscaler was among the biggest decliners on the S&P 500, down 8.6%. Brokerage BTIG downgraded the stock to "neutral" from "buy", citing concerns over demand and potential competition. "We're getting back to being concerned about the prior software-specific concerns stemming from AI and private credit that are coming back to the fore," said Steve Sosnick, chief market analyst at Interactive Brokers. Enterprise software developer Atlassian, human resources software provider Workday, Photoshop software maker Adobe, enterprise cloud firm Salesforce and TurboTax-parent Intuit dropped between 3.7% and 6.8%.
Wall Street is eager to get a piece of SpaceX's historic IPO, but one prominent hedge fund manager thinks investors are missing the big picture regarding what could end up being the biggest driver of the company's valuation. Gene Munster, managing partner at Deepwater Asset Management, recently shared his take on X, laying out what he thinks is the most important aspect of SpaceX's value, and that he thinks it's something investors are overlooking. It comes down to two words - sovereign AI. "Investors looking at the SpaceX IPO are focused on the launch business and Starlink subscribers," Munster wrote. "They're missing the real story. SpaceX, through its constellation of Elon-controlled entities, has quietly assembled the only set of assets capable of building a fully sovereign AI." That term refers to an end-to-end AI system fully controlled by the company that owns it. Such a system does not rely on external providers at any layer. Munster thinks SpaceX can achieve this, and if it can, it will be the firm's real competitive edge. In his view, SpaceX has four primary pillars needed to reach sovereign AI: a launch monopoly, Starlink's hyperscaler network, Grok's proprietary AI model, and Musk's Terafab AI chip production. "These four pillars create a closed-loop intelligence system spanning from raw silicon to satellite distribution," Munster wrote. The hedge fund manager acknowledged that many Big Tech leaders have parts of the sovereign AI equation, but none have the entire thing. While he thinks Google is the next closest, he maintains that SpaceX is the best-positioned, as Google still relies on chips built by other companies. Munster recently described Google parent Alphabet as the best stock to own in the Magnificent Seven, noting its progress on the AI front. "SpaceX is building the AI equivalent of the Apple model," he wrote. "Design the chips. Make the chips. Build the model. Train it on proprietary data. Deliver it through your own network. Every toll booth from silicon to satellite belongs to you." Munster added that another key edge that SpaceX has over Google is that it builds rockets, which are part of the company's big structural advantage in tech. He noted that while it is difficult to assess the total economic value of sovereign AI, he thinks it's key to the bull case. "If vertical integration is the path to capturing margin in the intelligence economy (and we believe it is), then SpaceX has the most compelling structural advantage of any company in the world," Munster said.
April 9 (Reuters) - U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O'Rourke, chief market strategist at JonesTrading. The S&P 500 Software and Services Index (.SPLRCIS), opens new tab is down nearly 26% this year, including Thursday's 3.1% drop, on worries that rapid progress in AI could hit SaaS (software-as-a-service) companies that sell subscription-based products to clients. Cybersecurity firms Cloudflare (NET.N), opens new tab, Okta (OKTA.O), opens new tab, CrowdStrike (CRWD.O), opens new tab and SentinelOne (S.N), opens new tab dropped between 4.7% and 7.7% in morning trade. Zscaler (ZS.O), opens new tab was among the biggest decliners on the S&P 500 (.SPX), opens new tab, down 8.6%. Brokerage BTIG downgraded the stock to "neutral" from "buy", citing concerns over demand and potential competition. "We're getting back to being concerned about the prior software-specific concerns stemming from AI and private credit that are coming back to the fore," said Steve Sosnick, chief market analyst at Interactive Brokers. Enterprise software developer Atlassian (TEAM.O), opens new tab, human resources software provider Workday (WDAY.O), opens new tab, Photoshop software maker Adobe (ADBE.O), opens new tab, enterprise cloud firm Salesforce (CRM.N), opens new tab and TurboTax-parent Intuit (INTU.O), opens new tab dropped between 3.7% and 6.8%. Reporting by Shashwat Chauhan in Bengaluru and Sinéad Carew; Editing by Sriraj Kalluvila Our Standards: The Thomson Reuters Trust Principles., opens new tab

A new variant of the Chaos malware has been identified, capable of targeting misconfigured cloud deployments. This marks a significant expansion of the botnet's targeting infrastructure, moving beyond its traditional focus on routers and edge devices, with further coverage provided by The Hacker News. First documented in September 2022, Chaos is a cross-platform malware that can run remote shell commands, deploy additional modules, propagate via SSH brute-forcing, mine cryptocurrency, and launch DDoS attacks. Researchers believe it is an evolution of the Kaiji malware, which targeted misconfigured Docker instances. The latest variant, identified by Darktrace, exploits misconfigured Hadoop instances through an HTTP request to create a new application. This application then retrieves a Chaos agent binary from an attacker-controlled server, sets permissions to allow execution, and runs the binary before deleting traces. The domain used in a recent attack was previously linked to a Chinese cybercrime group's phishing campaign. The new 64-bit ELF binary has removed SSH propagation and router exploit functions, replacing them with a SOCKS proxy feature to ferry traffic and conceal malicious activity. The evolution of Chaos malware, including the addition of proxy services, indicates a shift in cybercriminal monetization strategies beyond just cryptocurrency mining and DDoS-for-hire services. This trend, also seen in botnets like AISURU, suggests that organizations face a broader range of threats from these evolving botnets.

April 9 (Reuters) - U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O'Rourke, chief market strategist at JonesTrading. The S&P 500 Software and Services Index is down nearly 26% this year, including Thursday's 3.1% drop, on worries that rapid progress in AI could hit SaaS (software-as-a-service) companies that sell subscription-based products to clients. Cybersecurity firms Cloudflare, Okta, CrowdStrike and SentinelOne dropped between 4.7% and 7.7% in morning trade. Zscaler was among the biggest decliners on the S&P 500, down 8.6%. Brokerage BTIG downgraded the stock to "neutral" from "buy", citing concerns over demand and potential competition. "We're getting back to being concerned about the prior software-specific concerns stemming from AI and private credit that are coming back to the fore," said Steve Sosnick, chief market analyst at Interactive Brokers. Enterprise software developer Atlassian, human resources software provider Workday, Photoshop software maker Adobe, enterprise cloud firm Salesforce and TurboTax-parent Intuit dropped between 3.7% and 6.8%.

April 9 (Reuters) - U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O'Rourke, chief market strategist at JonesTrading. The S&P 500 Software and Services Index is down nearly 26% this year, including Thursday's 3.1% drop, on worries that rapid progress in AI could hit SaaS (software-as-a-service) companies that sell subscription-based products to clients. Cybersecurity firms Cloudflare, Okta, CrowdStrike and SentinelOne dropped between 4.7% and 7.7% in morning trade. Zscaler was among the biggest decliners on the S&P 500, down 8.6%. Brokerage BTIG downgraded the stock to "neutral" from "buy", citing concerns over demand and potential competition. "We're getting back to being concerned about the prior software-specific concerns stemming from AI and private credit that are coming back to the fore," said Steve Sosnick, chief market analyst at Interactive Brokers. Enterprise software developer Atlassian, human resources software provider Workday, Photoshop software maker Adobe, enterprise cloud firm Salesforce and TurboTax-parent Intuit dropped between 3.7% and 6.8%. (Reporting by Shashwat Chauhan in Bengaluru and Sinéad Carew; Editing by Sriraj Kalluvila)
April 9 : U.S. software shares tumbled on Thursday after Anthropic held back the wide release of a powerful AI model over concerns it could expose hidden cybersecurity vulnerabilities, deepening investor fears about the threat to traditional software firms. Anthropic said earlier this week it would only allow a group of around 40 companies, including Microsoft and Google, access to its "Claude Mythos" model because it has already found thousands of vulnerabilities, including some in every major operating system and web browser. "If Mythos is that strong and that powerful and it's exposing these vulnerabilities that have been around for years, it just shows one, the weakness of the current software that's out there and two, that AI is still making incredible progress versus legacy software companies," said Michael O'Rourke, chief market strategist at JonesTrading. The S&P 500 Software and Services Index is down nearly 26 per cent this year, including Thursday's 3.1 per cent drop, on worries that rapid progress in AI could hit SaaS (software-as-a-service) companies that sell subscription-based products to clients. Cybersecurity firms Cloudflare, Okta, CrowdStrike and SentinelOne dropped between 4.7 per cent and 7.7 per cent in morning trade. Zscaler was among the biggest decliners on the S&P 500, down 8.6 per cent. Brokerage BTIG downgraded the stock to "neutral" from "buy", citing concerns over demand and potential competition. "We're getting back to being concerned about the prior software-specific concerns stemming from AI and private credit that are coming back to the fore," said Steve Sosnick, chief market analyst at Interactive Brokers. Enterprise software developer Atlassian, human resources software provider Workday, Photoshop software maker Adobe, enterprise cloud firm Salesforce and TurboTax-parent Intuit dropped between 3.7 per cent and 6.8 per cent.
Investing.com -- Palantir Technologies (NYSE:PLTR) fell 7% Thursday as software stocks declined following new AI product launches and comments from short seller Michael Burry about competitive threats. The iShares Expanded Tech-Software Sector ETF dropped 3.7%, with top holdings including Palantir, Microsoft, Oracle, Salesforce, and Palo Alto Networks all trading lower. The selloff came after Meta unveiled a new artificial intelligence model and Anthropic launched Claude tools for building agents. Ongoing fears about Anthropic's powerful new Mythos model also impacted the sector. Burry specifically highlighted Palantir's vulnerability to competition from Anthropic, writing that "Anthropic is eating $PLTR Palantir's lunch. That massive boost from $9B to $30B ARR at Anthropic is because Anthropic offers the easier, cheaper, intuitive solution for businesses. PLTR can have government, which is low margin and small." The pressure on software stocks intensified following Anthropic's release of its Mythos model, which demonstrated significant improvements in software engineering tasks. According to Anthropic's system card, Mythos showed a 17 percentage point improvement in Terminal Bench 2.0 and 13 percentage point improvement in SWE bench-verified benchmarks compared to the previous Opus 4.6 model. Kotak Institutional Equities analyst Kawaljeet Saluja commented, "Anthropic's Mythos model exhibits a step-jump in benchmark performance across software engineering tasks, a deviation from the trajectory of incremental/moderate improvements in the recent past. Mythos provides a large improvement in agentic software development, based on qualitative assessments. We believe that the model raises near- to medium-term disruption risks for IT services with the caveat that model capabilities are largely unproven in real-world scenarios due to a lack of a public release." Related articles Software stocks selloff: PLTR, MSFT drop on Anthropic's 'Mythos' model fears Kosmos Energy stock cut to Sell at Goldman after 200% YTD rally

Adobe Inc. specializes in the development of software for content design, publication and visual distribution. Net sales break down by product family as follows: - digital media software (74.3%): primarily creation, illustration, viewing, conversion and digital contents broadcasting; - online marketing and business process management software (24.7%): web publishing, information security, business resources planning, document production management, application automation software, etc.; - other (1%): software for high-definition printing, online training, etc. Net sales break down by source of income between sales of subscriptions (96.4%), sales of services (2.3%; consulting, training, maintenance and technical support services) and sales of products (1.3%). Net sales are distributed geographically as follows: the United States (52.7%), Americas (6.7%), Europe/Middle East/Africa (26.5%) and Asia/Pacific (14.1%).

Why is Palantir stock dropping sharply today after Michael Burry's warning? The Palantir stock drop is suddenly back in focus after Michael Burry issued a fresh warning. Shares of Palantir Technologies slipped nearly 6% in one session. That sharp fall has triggered concern across Wall Street and retail investors alike. Burry suggested that Palantir may be losing ground in the AI race. His warning focused heavily on competition from Anthropic. According to emerging data, Anthropic is rapidly gaining enterprise traction. Its AI tools are easier to deploy and integrate. That makes them highly attractive for businesses seeking quick results. Palantir stock dropped nearly 6% in a single session after Michael Burry reignited concerns about valuation and rising competition from Anthropic. The sudden decline highlights growing investor anxiety around Palantir stock valuation, especially as enterprise AI competition intensifies. The timing of this Palantir stock drop is crucial. PLTR had rallied over 150% in the past year, driven by AI hype. Such sharp gains often invite corrections when sentiment shifts. Burry's remarks acted as a catalyst, accelerating profit-booking across institutional and retail portfolios. Despite the Palantir stock drop, recent financials show resilience. Palantir reported revenue growth of around 20-25% year-over-year. Its commercial segment grew faster, crossing 30% in some quarters. The company also achieved consistent profitability under GAAP metrics. Operating margins have improved steadily, supported by cost discipline. These fundamentals suggest that the Palantir stock drop is not driven by immediate financial weakness. Data shows PLTR trading at over 100x forward earnings, compared to the S&P 500 average near 20-22x. This valuation gap makes the stock highly sensitive to negative commentary. That is why the current Palantir stock drop appears sharp and sudden rather than gradual. Despite reporting nearly 70% revenue growth and strong government contracts, Palantir stock is now facing scrutiny over its premium pricing and sustainability. With a forward P/E ratio near 115x -- far above the sector average -- markets are questioning whether Palantir stock can justify its lofty expectations amid shifting AI market dynamics. The sharp fall in Palantir stock was directly triggered by comments from Michael Burry, who labeled the company a potential "bubble." His critique centered on the rapid rise of Anthropic, which he claims is aggressively capturing enterprise AI market share. Burry pointed to Anthropic's reported annual recurring revenue surge from $9 billion to $30 billion, suggesting a dramatic shift in enterprise adoption. According to his analysis, businesses are increasingly choosing Anthropic due to its simpler, more cost-effective AI solutions. This shift has placed pressure on Palantir stock, as investors reassess its competitive positioning. Anthropic's growth numbers are striking. Reports suggest its annualized revenue run rate surged toward $20-30 billion range. This rapid expansion reflects strong enterprise adoption of its Claude AI models. Such momentum directly challenges Palantir's positioning. The data cited by Burry further intensified concerns. A March 2026 study indicated that one in four businesses connected to Ramp now uses Anthropic services, compared to just one in 25 a year ago. This rapid adoption curve signals a major disruption in enterprise AI, directly impacting sentiment around Palantir stock. Valuation concerns remain at the center of the Palantir stock debate. Currently trading at a forward P/E ratio of approximately 115x, Palantir stock significantly exceeds the sector median of around 21x. This premium has made the stock one of the most expensive names in the AI and software space. Analysts argue that such a high valuation leaves little room for execution errors. Even minor slowdowns in growth could trigger outsized declines in Palantir stock. Benchmark analyst Yi Fu Lee maintained a cautious stance, emphasizing that current pricing assumes near-perfect performance. However, not all analysts agree. Rosenblatt's John McPeake reiterated a bullish outlook, assigning a $200 price target to Palantir stock. He highlighted potential upside from large-scale government contracts, including the "Golden Dome" missile defense initiative, which could generate billions in revenue through 2028. This divergence in analyst opinions underscores the uncertainty surrounding Palantir stock, as investors weigh high growth against high valuation. The rise of Anthropic is rapidly reshaping the enterprise AI landscape, posing a direct challenge to Palantir stock. Unlike traditional data analytics platforms, Anthropic focuses on user-friendly AI tools that are easier to deploy and integrate. Burry's claim that "Anthropic is eating Palantir's lunch" reflects a broader trend. Businesses are increasingly prioritizing cost efficiency and simplicity when adopting AI solutions. This shift is redirecting enterprise spending toward newer AI platforms. Reports suggest that nearly 73% of new enterprise AI spending is now flowing into Anthropic, while competitors like OpenAI are experiencing fluctuations in growth momentum. If this trend continues, it could significantly impact future revenue projections tied to Palantir stock. Despite this, Palantir maintains a strong foothold in government and defense sectors. Its specialized AI systems, including military-grade platforms, continue to differentiate it from consumer-focused AI companies. Wall Street remains divided on the future of Palantir stock, reflecting a mix of optimism and caution. The overall consensus currently stands at a "Moderate Buy," with 14 Buy ratings, 5 Holds, and 2 Sells. The average price target for Palantir stock is around $194.61, implying a potential upside of nearly 38% from recent levels. Supporters argue that the company's 70% revenue growth demonstrates strong underlying fundamentals. Bank of America analyst Mariana Perez described the recent selloff in Palantir stock as a reaction to short-term headlines rather than a reflection of long-term weakness. She emphasized the company's deep integration within government infrastructure as a durable competitive advantage. At the same time, critics warn that expectations for Palantir stock remain extremely high. The company's reliance on continued rapid growth makes it vulnerable to shifts in market sentiment, especially as new competitors emerge. The future of Palantir stock depends on its ability to balance growth with valuation. While competition from Anthropic is intensifying, Palantir still holds unique advantages in defense, intelligence, and complex data analytics. Its involvement in high-value government contracts and AI-driven platforms provides a stable revenue base. Additionally, new initiatives like advanced military AI systems could serve as catalysts for future growth in Palantir stock. However, the market is becoming less forgiving of high valuations. Investors are now demanding clearer evidence that Palantir stock can maintain its growth trajectory without losing market share. In the near term, volatility is likely to continue. The debate over whether Palantir stock is overvalued or a long-term AI leader remains unresolved. What is clear, however, is that the competitive landscape is evolving rapidly -- and Palantir stock is right at the center of it. 1. Is Palantir stock a bubble after Michael Burry's warning on Anthropic competition? Palantir stock is being questioned after Michael Burry called it a potential bubble amid rising pressure from Anthropic. The concern mainly stems from its high valuation near 115x forward earnings versus industry averages. However, strong revenue growth and government contracts still support bullish arguments. The debate now centers on whether growth can justify the premium pricing. 2. Can Palantir stock maintain growth despite Anthropic gaining enterprise AI market share? The rise of Anthropic is reshaping enterprise AI, raising doubts about future demand for Palantir stock. Businesses are increasingly choosing simpler and lower-cost AI tools, shifting spending trends. Still, Palantir's deep presence in defense and government systems offers stability. Its ability to innovate and retain enterprise clients will determine long-term growth sustainability. (You can now subscribe to our Economic Times WhatsApp channel)
India's largest IT services firm Tata Consultancy Services (TCS) is gearing up to announce a strategic partnership with Anthropic, as it saw a deeper push into artificial intelligence in fiscal 2026. Aarthi Subramanian, Executive Director, President and Chief Operating Officer at TCS, said the company is "working significantly" with Anthropic and that a formal announcement is expected soon. The development comes as TCS ramps up investments across its Build-Partner-Acquire framework to strengthen capabilities in next-generation technologies. Chief Financial Officer Samir Seksaria during the con call after TCS announced its fourth quarter results highlighted that fiscal 2026 saw intensified investments, particularly in artificial intelligence partnerships, as the company was looking to scale innovation-led growth. TCS' quarter four newsflow was dominated by its deeper push into AI, with critical partnerships with the likes of OpenAI, AMD, ABB, Honeywell, ServiceNow, Nvidia, Cisco, Gitlab and Zscaler, among others. The management are also quite buoyant on AI, having witnessed sustained customer convinction in tech spends. Annualised AI revenue also crossed $2.3 billion in the quarter, which is another indicator of the company's strong push towards the new technology. ALSO READ: TCS Q4 Results: Profit In Line, Dividend, AI Momentum And More -- Five Key Highlights As part of its Build-Partner-Acquire strategy, TCS has expanded through acquisitions such as Coastal Cloud and List Engage, while also establishing its in-house digital and AI ecosystem, HyperVault. The platform has emerged as a central pillar in TCS's AI ambitions, with investments in HyperVault acting as a catalyst for multiple global collaborations. TCS has already forged strategic partnerships with leading technology players including OpenAI, AMD and ABB, leveraging HyperVault to deepen these engagements. The company noted that its collaboration with OpenAI spans multiple critical areas, reflecting the growing importance of generative AI in enterprise transformation. HyperVault has also enabled stronger integration within the Tata Group ecosystem, with TCS seeing increased collaboration across Tata companies. In addition, the firm has signed a memorandum of understanding with ABB to enhance cooperation in IT infrastructure, further expanding its enterprise solutions footprint. In another key development, TCS and Honeywell have announced a strategic partnership aimed at helping building operators transition from traditional automation systems to enterprise-wide autonomous operations. This aligns with the broader industry shift towards smart infrastructure and AI-driven efficiency. The company's multi-year engagement with OpenAI, supported by HyperVault, is expected to scale significantly, with plans to develop infrastructure capacity of up to 100MW, underscoring the scale of its AI ambitions. The upcoming partnership with Anthropic is likely to further strengthen TCS's position in the rapidly evolving AI landscape, where enterprises are increasingly seeking advanced, secure and scalable AI solutions. Anthropic, known for its focus on safe and reliable AI systems, could complement TCS's enterprise offerings, particularly in regulated industries. TCS has released its fourth quarter results for the financial year ending March 2026, notably reporting a sharp sequential rebound in profit and a healthy growth in revenue, even though final dividend payout for the full year was slightly lower than expected. Essential Business Intelligence, Continuous LIVE TV, Sharp Market Insights, Practical Personal Finance Advice and Latest Stories -- On NDTV Profit.

Wall Street is eager to get a piece of SpaceX's historic IPO, but one prominent hedge fund manager thinks investors are missing the big picture regarding what could end up being the biggest driver of the company's valuation. Gene Munster, managing partner at Deepwater Asset Management, recently shared his take on X, laying out what he thinks is the most important aspect of SpaceX's value, and that he thinks it's something investors are overlooking. It comes down to two words - sovereign AI. "Investors looking at the SpaceX IPO are focused on the launch business and Starlink subscribers," Munster wrote. "They're missing the real story. SpaceX, through its constellation of Elon-controlled entities, has quietly assembled the only set of assets capable of building a fully sovereign AI." That term refers to an end-to-end AI system fully controlled by the company that owns it. Such a system does not rely on external providers at any layer. Munster thinks SpaceX can achieve this, and if it can, it will be the firm's real competitive edge. In his view, SpaceX has four primary pillars needed to reach sovereign AI: a launch monopoly, Starlink's hyperscaler network, Grok's proprietary AI model, and Musk's Terafab AI chip production. "These four pillars create a closed-loop intelligence system spanning from raw silicon to satellite distribution," Munster wrote. The hedge fund manager acknowledged that many Big Tech leaders have parts of the sovereign AI equation, but none have the entire thing. While he thinks Google is the next closest, he maintains that SpaceX is the best-positioned, as Google still relies on chips built by other companies. Munster recently described Google parent Alphabet as the best stock to own in the Magnificent Seven, noting its progress on the AI front. "SpaceX is building the AI equivalent of the Apple model," he wrote. "Design the chips. Make the chips. Build the model. Train it on proprietary data. Deliver it through your own network. Every toll booth from silicon to satellite belongs to you." Munster added that another key edge that SpaceX has over Google is that it builds rockets, which are part of the company's big structural advantage in tech. He noted that while it is difficult to assess the total economic value of sovereign AI, he thinks it's key to the bull case. "If vertical integration is the path to capturing margin in the intelligence economy (and we believe it is), then SpaceX has the most compelling structural advantage of any company in the world," Munster said.
Pltr stock fell 6. 1% in afternoon trading after Anthropic announced Managed Agents, a hosted service for long-running AI tasks. The move matters because the market was not reacting to a routine product update. It was reacting to a signal that autonomous AI infrastructure may be taking aim at the seat-based software model that has helped define enterprise technology spending. What does the drop in Pltr stock reveal? Verified fact: Palantir Technologies shares closed at $140. 70, down 6. 2% from the previous close. The company has been volatile, with 33 moves greater than 5% over the last year. That context matters: the decline was sharp, but not unusual for a stock that traders already treat as highly sensitive to new AI headlines. Informed analysis: The market's reaction suggests investors see Managed Agents as more than a product launch. Managed agents are described as specialized AI systems that can independently carry out multi-step, long-duration tasks. Unlike chatbots or basic APIs that need repeated prompting, these systems use durable states, resumable workflows, and policy-guarded tools to operate across digital environments. That makes them look less like software assistants and more like autonomous workers. For pltr stock, that is a direct challenge to the idea that expensive enterprise software remains insulated from cheaper, more automated alternatives. Why did Anthropic's announcement hit so hard? Verified fact: The immediate concern is disruption to existing SaaS business models. The context states that investors reacted to the possibility that managed agents could threaten expensive, seat-based enterprise software with more efficient autonomous AI infrastructure. That is the key pressure point now hanging over pltr stock. Informed analysis: The issue is not whether Palantir still has demand. It is whether the value of enterprise software will increasingly migrate toward systems that can automate work at lower marginal cost. That is why the announcement landed as a market event rather than a product update. It reframed the competitive landscape around how businesses will buy AI-enabled work in the future: through platforms that help people operate software, or through agents that perform the work itself. Verified fact: This same stock has moved on opposite signals within days. Eight days before the decline, the shares rose 6. 2% after the company announced renewal and expansion of its partnership with Stellantis, including broader use of Foundry and integration of its Artificial Intelligence Platform. The contrast shows how quickly sentiment around pltr stock can swing when the narrative shifts from adoption to disruption. Who benefits if enterprise AI spending shifts? Verified fact: Michael Burry, identified in the context as the investor who has been bearish on Palantir, said Anthropic is "eating Palantir's lunch. " He linked Anthropic's rise from $9 billion to $30 billion in annual recurring revenue to what he described as an easier, cheaper, intuitive solution for businesses. He also said Anthropic is taking 73% of all new enterprise spending. Verified fact: Burry's view is tied to a broader claim that the AI market is zero-sum, with businesses moving toward one provider at the expense of others. The context also cites economist Ara Kharazian of Ramp in a March 2026 analysis, which found nearly one in four businesses on Ramp now pays for Anthropic, up from one in 25 a year earlier, and that the share of companies choosing to pay for Claude before OpenAI reached 73% in February. Informed analysis: If that spending shift continues, the winners are likely to be the AI tools that are easiest to adopt and cheapest to deploy. The losers may not be only direct competitors. They may also include software platforms whose pricing depends on human-heavy workflows and long procurement cycles. That is the deeper concern now attached to pltr stock: not just competition, but a possible reset in how enterprise buyers assign value. Does government demand protect Palantir? Verified fact: Palantir's government business remains a major part of the company's revenue. In the fourth quarter, government revenue rose 60% year over year to $730 million, while commercial revenue rose 82% to $677 million. The company's expected revenue growth for the first quarter was described by Wall Street analysts as 74% to $1. 54 billion, above the guidance management had given investors last quarter. Verified fact: The context also notes that the U. S. Internal Revenue Service paid Palantir $1. 8 million in the previous year to develop a custom tool for identifying cases for audits and tax collection. Separately, the company renewed and expanded its partnership with Stellantis for a broader use of Foundry and its Artificial Intelligence Platform. Informed analysis: These facts show why the company still attracts support: it has government relationships, commercial momentum, and a profile that investors continue to reward on growth. But they do not fully answer the market's new question. If enterprise AI spending is moving toward more autonomous systems, then even strong government ties may not fully insulate pltr stock from valuation pressure. That is especially true when the stock is described as trading at 235 times trailing earnings and 112 times forward earnings, with two to three years of growth already priced in. What should investors and the public watch next? Verified fact: Palantir is down 16. 1% since the beginning of the year and remains 32% below its 52-week high of $207. 18 from November 2025. At the same time, a $1, 000 investment made five years ago would now be worth $6, 018. Those two numbers capture the paradox around the stock: strong long-term performance, but a market that is increasingly sensitive to whether the next wave of enterprise AI helps or hurts its business model. Informed analysis: The central issue is no longer only whether Palantir can keep growing. It is whether growth alone is enough to justify a valuation that already assumes a great deal of success. Anthropic's Managed Agents have sharpened that debate by showing how quickly enterprise attention can shift when AI tools appear more autonomous and easier to deploy. For pltr stock, the next test is not just execution. It is whether the market believes the company's model can stay indispensable in an economy moving toward agents that do the work themselves. Accountability conclusion: Investors deserve clearer disclosure on how management sees this shift in enterprise AI spending, what parts of demand are most exposed, and whether current valuation assumptions already reflect the competitive threat. Until that is answered with precision, pltr stock will remain a referendum on whether software platforms can defend their pricing in the age of autonomous AI.

All information and data in this article is solely for informational purposes. For more information please view the Barchart Disclosure Policy here On Apr. 1, Elon Musk's SpaceX confidentially filed its IPO paperwork with the U.S. Securities and Exchange Commission, putting in motion potentially the biggest public offering in Wall Street history. The company is aiming to raise as much as $75 billion, more than three times Alibaba's (BABA) $21.8 billion U.S. listing in 2014, which still stands as the largest IPO in U.S. history. At a target valuation of $1.75 trillion, SpaceX would also become the most valuable company ever to go public on a U.S. exchange. The company's February 2026 merger with xAI, Musk's artificial intelligence startup behind the Grok large language model, added another layer to the investment story going into the offering. The deal brought together SpaceX's launch business and Starlink's cash flow with xAI's push into computing, and the combined company was valued at $1.25 trillion at the time of the merger. Since then, Musk has moved up the IPO timeline well ahead of the original expectation for a second-half 2026 filing, catching even seasoned Wall Street players by surprise. With the roadshow set to begin the week of June 8, SpaceX is also taking an unusual step for a deal of this size by planning a large event built specifically for retail investors. On June 11, the company plans to host 1,500 individual investors, with participation open not only to Americans, but also to retail investors in the U.K., the EU, Australia, Canada, Japan, and South Korea. That brings the story to the key question. In an IPO market where retail investors usually get just 5% to 10% of share allocations, what does it mean, for the deal and for individual investors, if SpaceX is really setting aside as much as 30%? Let's find out. The financial case for SpaceX is not based on ambition alone. The clearest example is Starlink, which has become the world's largest satellite broadband constellation and is now operating more than 10,000 active satellites in low-Earth orbit. As of early 2026, Starlink's subscriber base had already surpassed 10 million, and the growth still looks strong. By the end of 2026, forecasts call for 16.8 million subscribers, which would mark more than 33% year-over-year (YOY) growth, along with $11.3 billion in consumer revenue, about 85% of it recurring. Looking at the broader business, the numbers are just as striking. SpaceX is projected to generate $20 billion in total revenue, $14 billion in EBITDA, and $8.1 billion in pro forma free cash flow, showing that this is not just a fast-growing company but one with real earnings power. Beyond Starlink, SpaceX has also brought in more than $24.4 billion in federal government contracts since 2008, with about $15.4 billion of that still outstanding through 2030. Then there is the valuation. SpaceX's confidential IPO filing pegged the company at $1.75 trillion, and if it lists at that level, Elon Musk, who owns 42% of the company, would become the first CEO to lead two separate publicly traded trillion-dollar companies. The IPO is not just about giving early investors a way to cash out. It is also meant to fund very specific next steps. SpaceX CFO Bret Johnsen told employees that money from the public offering would go directly toward what he called an "insane flight rate" for the Starship rocket program. That says a lot about why the company wants to go public now. SpaceX does not need the money to stay alive. It wants the money to grow faster than private funding alone can support. Starship is at the center of that plan. Musk has said that full reusability for Starship could slash the cost of access to space by a factor of 100, which would make launches as affordable as air freight. If SpaceX gets there, it would support much more of what the company wants to do next, including Starship cargo flights to the lunar surface starting in 2028, which would be the first vehicle to reach the moon in more than 50 years. SpaceX has also filed with the FCC for permission to launch up to one million satellites to build data centers in space. Musk has presented that as an answer to rising energy and computing demands. Solar energy in orbit is roughly five times more efficient than on Earth, which gives the idea some real economic backing. Wall Street's early reaction to SpaceX's public debut has been overwhelmingly positive. Year-end 2026 forecasts call for roughly 133 Starlink launches, up more than 11% from a year earlier, with about 3,500 satellites set to be deployed, which would mark growth of more than 23%. Those numbers help explain why many analysts see SpaceX as a company that can keep building both revenue and its orbital network at the same time. Against that backdrop, major banks are treating the IPO as a flagship deal for 2026, with several top underwriters competing for a role in what is already being described as one of the biggest market events of the year. The valuation is where things get more demanding. Early research notes said SpaceX could list at more than 90 times projected 2025 earnings, even with a deal size that could raise tens of billions of dollars. That is a very rich multiple, but bullish investors argue it reflects Starlink's strong subscription economics and the added upside tied to Starship, lunar cargo, and orbital computing. Hedge fund manager Bill Ackman has added another wrinkle by proposing a SPARC structure that would let Tesla shareholders take part in the IPO directly. The idea turns the offering into a wider Musk-related investment story and shows how far some big investors are willing to go to get exposure. June 11 matters because it could mark the moment SpaceX stops being a story private investors talk about and becomes a stock the public can actually own. If the deal launches on the terms being reported, the shares will probably trade higher at first because scarcity, retail demand, and Musk's following are a powerful mix. The harder question is what happens after the opening pop, since a valuation this rich leaves little room for disappointment. My read is that early momentum likely favors the bulls, but the stock could get volatile fast once investors shift from excitement to execution.

Systematic traders use Kraken's infrastructure for momentum strategies, statistical arbitrage, pairs trading, and programmatic execution of discretionary signals, with access to Level 3 order book data, 640+ trading pairs, and a dedicated UAT testing environment. Crypto markets run 24 hours a day, seven days a week. They move fast, they fragment across products and the same opportunity that exists at 3 a.m. on a Tuesday is gone by the time anyone in that time zone wakes up to act on it. For traders who take this professionally, automation is a baseline requirement. Kraken has been the infrastructure provider of choice for systematic traders since 2011. The API has evolved considerably since then. REST, WebSocket and FIX 4.4 are all available, covering spot and futures from a unified account. This is the first in a series on what systematic traders actually build on Kraken, how the infrastructure works and where the edges come from. There is no single definition of automated crypto trading. The strategies running on exchange APIs range from simple systematic execution of discretionary signals all the way to fully autonomous systems. What they share is a reliance on the API for market data, order submission and position management. Identify an asset that is moving in a direction, enter in the direction of the move and exit when the signal fades. The automation piece continuously monitors across pairs, executes fast orders when signals trigger and adheres to disciplined exit logic that does not require someone watching a screen. Kraken's WebSocket delivers real-time tick-by-tick price feeds and full order book depth to all API users without tier restrictions. While some exchanges batch market data or reserve granular feeds for VIP accounts, Kraken delivers the same real-time feed quality to every systematic trader. This is the data layer momentum expert strategies depend on. These strategies look for mean-reverting relationships between correlated assets. When the spread between two historically correlated pairs diverges, the position goes long the underperformer and short the outperformer, waiting for convergence. Kraken's WebSocket order book feeds provide full depth across 640+ cryptoassets, giving these strategies a wide surface to work with. The key is execution with speed when the signal triggers because latency matters more here than anywhere else. Not every automated strategy is fully autonomous. A lot of traders build systems that take signals from their own models or external sources and execute them programmatically, handling sizing, timing, slippage management and order routing through the API while leaving signal generation to human judgment. This is often the entry point for traders moving from manual to automated. The strategies above each have specific infrastructure requirements. Understanding how Kraken's API is structured before you start building means fewer surprises when you are running live. For most systematic traders starting out, REST and WebSocket are the right combination: REST for account queries and one-off operations, WebSocket for everything latency-sensitive. Kraken's trading rate limits are per currency pair and shared across all protocols, REST, WebSocket, and FIX count against the same limit simultaneously. The model is decay-based: your limit counter increases when you place or cancel an order, then decays back to zero over time. The critical detail: canceling an order shortly after placing it consumes more rate limit than letting it rest. An order that sits in the book for several seconds before being cancelled costs nearly nothing. An order placed and immediately cancelled costs significantly more. This structure is deliberately designed to reward strategies that provide genuine resting liquidity rather than ones that churn the order book with quote spam. Kraken supports a range of order types that matter for systematic execution: These primitives let you build precise execution logic without relying on external infrastructure to manage state. Grouped orders are particularly useful for strategies that need to enter multi-leg positions simultaneously or update multiple orders across pairs in a single API call. Systematic strategies depend on clean, complete data. Kraken's WebSocket provides Level 3 order book data to API users, the most granular market data feed available, showing individual orders rather than aggregated price levels: Historical data is available via REST for backtesting. OHLC data goes back to the start of each trading pair. Trade history is accessible via paginated REST endpoints. Kraken offers clients a dedicated User Acceptance Testing (UAT) environment, allowing them to replicate order and market data flows across REST, WebSocket and FIX APIs. This environment enables clients to thoroughly test these processes before moving to the live production environment. Detailed instructions on connecting to the UAT environment will be provided by Kraken's support team. Testing in UAT is strongly recommended before running any strategy live. The environment mirrors production endpoints, symbol naming and rate limit behavior so code that works in UAT will work in production. Start by defining which API protocol fits your use case. REST and WebSocket work for most systematic traders, but if you need session-layer guarantees, deterministic ordering, or integration with existing OMS infrastructure, FIX 4.4 may be the right choice. If you're unsure which protocol suits your strategy, Kraken's support team can help evaluate your requirements. Once you've determined your API approach, create an account on Kraken Pro, generate API keys with the permissions your strategy needs, and start with the public endpoints to get familiar with the data feeds before adding private authentication. A few things worth doing before writing any trading logic: Create your API keys and explore the full documentation at docs.kraken.com/api. For institutional scale or FIX access, get in touch: What is the best crypto exchange API for automated trading? Kraken's API provides REST, WebSocket, and FIX 4.4 protocols from a single unified account covering spot and futures. All API users receive the same real-time data feed quality, including Level 3 order book depth, regardless of account tier. Does Kraken support algorithmic trading? Yes. Kraken's API is built for systematic and algorithmic traders. It supports automated order placement, real-time market data streaming, post-only and reduce-only order types, iceberg orders, and conditional close orders for programmatic execution. What API protocols does Kraken offer for trading? Kraken offers three protocols: REST API for account management and order placement, WebSocket for real-time market data and execution updates, and FIX 4.4 for institutional clients requiring session-layer guarantees and deterministic message ordering. How do Kraken's API rate limits work? Kraken uses a decay-based rate limit model per currency pair, shared across all protocols. Orders that rest in the book before cancellation consume less rate limit than orders placed and immediately cancelled, rewarding strategies that provide genuine resting liquidity. Does Kraken have a test environment for API trading? Yes. Kraken offers a dedicated User Acceptance Testing (UAT) environment that mirrors production endpoints, symbol naming, and rate limit behavior. Code that works in UAT will work in production. Contact Kraken's support team for UAT access. What order types does Kraken's API support? Kraken supports limit, market, post-only, reduce-only, conditional close, iceberg, and grouped orders with time-in-force options including IOC, GTD, and GTC. These primitives enable precise execution logic without external infrastructure.

xAI's Colossus 2 (MACROHARD) now has 7 models in training at once. xAI would be leading in raw announced scale of parameters. No other lab has publicly confirmed training 10T or even 6T models right now. The 6T model alone is roughly double the rumored size of Grok 4 and far larger than most current estimates for GPT-5 or Claude 4.6. Parameter count is only part of the story. AI models are judged more on: Active parameters per token (MoE efficiency). Training data quality and "intelligence density" (xAI claims higher density per gigabyte). Inference-time compute (reasoning modes, multi-agent orchestration). Real-world benchmarks (coding, agentic tasks, multimodality). Chips Needed & Costs for Pre-Training Runs Exact per-model costs are not public (models are still training), but here are the best analyses and estimates. Colossus 2 hardware: ~550,000 NVIDIA GPUs (mostly GB200/GB300 Blackwell variants) at ~$18 billion hardware cost alone (average ~$32k-$40k per GPU). This supports the full parallel training lineup. Total CapEx is tens of billions of dollars for Colossus 2 (land, power infrastructure, cooling, networking). Includes on-site gas turbines/Megapacks for 400+ MW dedicated power and rapid buildout. Per-model rough estimates (community/analyst extrapolations). 10T model needs ~$1.5 billion+ in compute (one early analyst call. scales with FLOPs and duration). Initial pre-training phase ~2 months on Colossus 2. 6T model needs Similar order of magnitude but lower. benefits from shared cluster efficiency. Smaller 1T/1.5T runs: Significantly cheaper/faster due to parallelization.

Workday stock is at significant support. Why did WDAY hit a new low? AI Agent Rollout Raises New Pressure On Workday's Core Model Workday is taking heat after Anthropic rolled out "Managed Agents," AI systems designed to autonomously execute multi-step, long-duration tasks, raising questions about the long-term durability of seat-based SaaS models like Workday's. Anthropic pushed the product into public beta on the Claude Platform on April 8, underscoring how quickly agentic workflows are moving from demo to deployment. Workday's CTO Peter Bailis also reportedly left to join Anthropic, which is exploring HR-related tools that overlap with Workday's core market. That talent shift is amplifying investor concern that AI-native platforms could compress pricing power and slow renewal momentum for legacy enterprise suites. The company also announced a partnership with OnePay to bring financial wellness services, including banking, investing and credit-building, into its ecosystem through Workday Wellness and upcoming Enhanced Direct Deposit Switching features. That positive product headline has not been enough to offset the competitive narrative in the near term. Technical Pressure Remains Intense As Workday Tests Support At $115.02, Workday is trading 14.5% below its 20-day simple moving average (SMA), the stock's average price over the last 20 sessions, which indicates sellers still control the short-term trend. It's also 37.2% below its 100-day SMA, a sign the intermediate trend remains decisively down. The relative strength index (RSI), a momentum gauge, is 31.51 after dipping into oversold territory (<30) on Thursday, which suggests downside momentum is stretched but not necessarily reversed. The death cross in April aligns with the longer downtrend that has kept rallies from holding. Key Resistance: $131.50 -- near the 20-day EMA area where rebounds can stall. Key Support: $115.00 -- near current levels where buyers may try to defend new lows. Analyst Consensus Remains Bullish Despite Recent Target Cuts Analyst Consensus & Recent Actions: The stock carries a Buy Rating with an average price target of $189.89. Recent analyst moves include: Freedom Broker: Buy (Lowers Target to $210.00) (March 12) Citigroup: Neutral (Lowers Target to $148.00) (Feb. 26) DA Davidson: Neutral (Lowers Target to $125.00) (Feb. 25) WDAY Shares Drop Thursday Morning WDAY Stock Price Activity: Workday shares were down 5.44% at $112.69 at the time of publication on Thursday, according to Benzinga Pro data. Image: Shutterstock This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Here's everything to know about Starship's next mission, which SpaceX refers to as flight 12. SpaceX chief Elon Musk said the commercial spaceflight company is bumping the 2026 debut launch of its massive Starship rocket yet again. The delay marks the third time that Starship's 12th overall test flight has slipped this year amid preparations for SpaceX to roll out a larger and more advanced version of a rocket due to reach the moon and, perhaps, Mars. Musk, the billionaire who founded the company in 2002, first indicated in January that Starship was on track for a March liftoff from SpaceX's Starbase company town and headquarters in South Texas. But at the beginning of March, Musk indicated that projected test flight was now being targeted for April. In the latest update in April, the tech mogul and world's richest man announced that SpaceX was now working toward a Starship launch sometime in May. The news comes as SpaceX prepares for its first-ever public offering on the stock market later this summer, and as a race heats up between it and rival billionaire Jeff Bezos' Blue Origin to develop a lunar lander for NASA. Here's everything to know about Starship's next mission, which SpaceX refers to as flight 12. When is the next Starship launch? Elon Musk pushes date to May Musk, the CEO of SpaceX, said in an April 3 post on social media site X that Starship's next flight test was "4 to 6 weeks away." Considering the timing of the post, that would mean the launch is now being targeted for early to mid-May. Neither Musk nor SpaceX have disclosed reasons for the delays. Where is SpaceX based in Texas? What to know about Starbase As it has 11 times already, the Starship rocket would get off the ground from Starbase, SpaceX's company town and headquarters located about 180 miles south of Corpus Christi near the U.S.-Mexico border. In May 2025, Texas voters in Cameron County - most of whom are SpaceX employees - approved a measure to officially recognize the company's headquarters as its own town, complete with a mayor and city commissioners. What is SpaceX's Starship rocket? Standing at more than 400 feet tall when fully stacked, Starship is regarded as the largest and most powerful launch vehicle in the world. SpaceX is developing Starship to be a fully reusable transportation system that can carry huge satellites and other payloads to space, meaning the rocket and vehicle can return to the ground for additional missions. The fully integrated spacecraft is composed of both a lower-stage booster known as Super Heavy that provides the initial burst of thrust at liftoff, as well as an upper stage simply called Starship, which is the vehicle where crew and cargo would ride. How could Starship be used on Artemis moon missions? In the years ahead, Starship is due to help NASA astronauts land on the moon under the U.S. space agency's Artemis program. SpaceX is working on a lunar lander iteration of Starship known as the Human Landing System (HLS) that could ferry astronauts from lunar orbit down to the moon's surface. That mission, known as Artemis IV, is targeted for 2028 and would be the first time humans stepped on the moon since NASA's Apollo era ended more than 50 years ago. But amid concerns that development has lagged, NASA appears to now be considering using competitor Blue Origin's experimental lunar lander known as Blue Moon instead. Under the Artemis III planned for 2027, astronauts aboard NASA's Orion spacecraft are due to dock in Earth orbit with one or both the landers in a critical test that would precede a moon landing a year later. Musk also has dreams of Starship being the vehicle that transports the first humans to Mars, though in February he announced SpaceX's intentions of shifting its focus to building a lunar city first. What happened with Starship in 2025? SpaceX conducted five Starship flight tests in 2025, the first three of which ended in disaster when the vehicle met a premature fiery demise before completing many key objectives. But SpaceX ended 2025 on a high note, with its final two Starship launches of the year in August and October being considered inarguable successes. The most recent Starship test, taking place Oct. 13, was also the final flight for that iteration of the rocket, known as Version 2. What's next for SpaceX, Starship in 2026? Version 3 to make debut SpaceX's next prototype of Starship, known as Version 3, is expected to make its debut during flight 12 from Starbase. At about 408 feet tall, Version 3 is expected to not only be slightly larger than its predecessor, but considerably more powerful, according to Musk. If all goes to plan, Version 3 (V3) could be the Starship model to reach orbit and also refuel its upper stage midflight. The complex process, requiring two Starships equipped with docking adapters to meet up in orbit to transfer hundreds of tons of super-cooled propellant, is necessary for Starship to reach distant destinations like Mars. Eric Lagatta is the Space Connect reporter for the USA TODAY Network. Reach him at [email protected]
EchoStar Corporation (NASDAQ:SATS) is among Jim Cramer's stock calls as he discussed the impact of the bond market. A caller asked if the company is a suitable investment proxy for SpaceX. Cramer replied: I gotta tell you, I think it is. It's moved so much, but I still think it is a great proxy, and I'm going to hand it to you for actually even thinking it through. Photo by Nicholas Cappello on Unsplash EchoStar Corporation (NASDAQ:SATS) provides networking technologies and communications services, including satellite television, streaming video, wireless connectivity, broadband access, and 5G infrastructure. Cramer mentioned the stock during the March 9 episode and said: Finally, there's EchoStar, which is a satellite play. After doing nothing for basically 17 years, this company burst into the scene last year with some huge deals to sell spectrum. In late August, EchoStar announced it would sell certain wireless spectrum licenses to AT&T for $23 billion. Just a couple of weeks later, in early September, they rolled out a separate deal to sell spectrum licenses to SpaceX for $17 billion. In November, they increased the size of that SpaceX transaction. Basically, the market dramatically underappreciated the value of EchoStar's spectrum assets, which is why the stock has been skyrocketing, up nearly 300% over the past year. Following the SpaceX deal, which included some stock consideration, I think some people might have bought EchoStar purely as a backdoor way to get some exposure to Elon Musk's SpaceX ahead of its IPO. That'll probably be smart. It'd probably be red-hot. While we acknowledge the potential of SATS as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. Disclosure: None. Follow Insider Monkey on Google News.
Tesla, Inc. (NASDAQ:TSLA) is among Jim Cramer's stock calls as he discussed the impact of the bond market. Cramer highlighted the company's woes, as he remarked: Are shareholders finally reacting to Tesla's deteriorating fundamentals, or is something else going on? You know what? I think it's both. First, let's talk about the fundamentals. The consensus estimate for Tesla for 2026 and 2027 indicate that the analysts and investors do in fact, expect sales and earnings to start growing again both this year and next year... Really, I think the issue here is that Tesla needs to show some more progress for what Musk considers the future of the company, which is Robotaxis. There's only so long that the stock can trade on hopes about the future before we fall back to car sales... We also need to see some sign that humanoid robots are really on track to hit the market by the end of next year, as Musk just predicted... Without more progress on Robotaxis and robots, all we're left with is this deteriorating auto business, and it's really starting getting people to think, is this a dangerous stock? It's starting to hit harder because Elon Musk's SpaceX intends to come public in the not too distant future, maybe this year. I suspect that Musk fans might be inclined to swap out of Tesla and swap into SpaceX once they have the opportunity.... So here's the bottom line in a pretty chilling piece here: Tesla's underwhelming production and deliveries results last week will serve as a good reminder that the core auto business is not doing all that well. In fact, it hasn't been doing well for a couple of years now. So far, that hasn't really mattered to the stock as investors have been able to look past the current weakness and focus on Elon Musk's vision for the future. But that only works because Tesla's got scarcity value as the only publicly traded way to bet on Musk's brilliance. With the SpaceX IPO on the way, Tesla's about to lose that scarcity value, and when that happens, I expect the stock to keep drifting lower until they either make more progress in Robotaxis or the core business finally turns around. Photo by Tesla Fans Schweiz on Unsplash Tesla, Inc. (NASDAQ:TSLA) designs and sells electric vehicles and also develops and installs solar energy and storage systems for residential, commercial, and industrial customers. In addition, the company is working on autonomous vehicles and robots. While we acknowledge the potential of TSLA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.