11 Sources
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What's wrong with Palantir? How investors see the stock
Military software company Palantir was supposed to be the stock for the current geopolitical moment, but its poor performance over the past year speaks to deeper disruptions happening in technology as a result of artificial intelligence. The iShares IGV tech software ETF is down about 14% since the beginning of the year, but Palantir - the third largest weighting in that ETF - has suffered more, sliding nearly 33% in the same period. Like the rest of the software business, Palantir has been facing a general threat from AI that has weighed on valuations across the sector. The company, led by CEO Alex Karp, has also had some sky-high expectations to live up to, including triple-digit price-to-earnings and enterprise value-to-sales multiples over the past several quarters, both of which are now trending down. But the real problem with the stock, analysts say, is fear about AI's increasing ability to handle the data-heavy workloads that Palantir specializes in. Looming specter "I think there is this specter hanging out in the future of Anthropic being able to do everything or OpenAI being able to do everything," John McPeake, senior research analyst at Rosenblatt, told CNBC on Friday. "It's having [someone] say, 'Create me a Palantir,' and it'll magically appear. That's not too much of an exaggeration. These large language models are perceived as code generators that can do anything. That's kind of weighing on them." Anthropic put out a blog post earlier this month about its improving data analytics capabilities that "doesn't sound great" for software companies like Palantir and Snowflake , analysts at UBS said in a mid-June note to clients. Karl Keirstead at UBS noted "rising investor concern" about Anthropic and OpenAI's data workload capabilities as well their ability to turn those powers into a commercial product. There's "concern ... that Anthropic and OpenAI will productize these features and launch [first-person] products that customers can use in lieu of spending on Palantir," he wrote. Potential overlap Palantir partner company Snowflake, which offers data management services used by Palantir's operating system, conceded earlier this month that there could be "overlap" between what the frontier AI models do and what the data specialists do. "In many ways, I am seeing the dynamics with the AI model providers similar to what has happened with the cloud providers where, yeah, there may be some overlap," Christian Kleinerman, Snowflake's head of product, said at a June 2 investor day. "We're more complementary than not at many customer sites, and so far it seems to be very similar dynamics." Palantir's customers are acknowledging this overlap with frontier AI on products like data mapping and graphing and are moving to take advantage of it. "I'd like to explore building a parallel open source graph database or using OpenAI and Anthropic," one Palantir customer said at the company's AIPCon 10 conference in San Francisco in early-June, according to a recent UBS note. "I'm not sure if these will deliver the same outcomes but I hope they will. It would be great to have them come in and drop a package that we can use. We want to be open, but Palantir is not open." Karp, Palantir's CEO, has pushed back hard against the capacity of large language models to replicate Palantir's product at the commercial level, calling it a "farce." "You get to [statements like] 'We're going to replicate Palantir by doing a deploy code.' I mean it's a complete farce," Karp told CNBC in early June. "It is not that large language models aren't crucial for the world; it's just the implementation is where the value is." But investors aren't waiting around, picking up on potential redundancies and resulting frustrations and making moves on them. Hedge fund manager Michael Burry, for example, is shorting the company and covering his past positions. "I covered half of my Palantir (PLTR) short at $107.15. I continue to hold puts," he wrote in a June 25 post on Substack . More positively, other investors see Palantir benefiting from the continued AI infrastructure buildout, which they expect to result in more proven revenue and monetization trends in coming quarters. "The market is way mispricing what this demand trend is going to look like over the next six to nine months, what the monetization trends will look like on enterprise, and that goes from Microsoft to Oracle ... and even some of the software names like Palantir," Dan Ives, head of technology research at Wedbush, told CNBC on Friday.
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Palantir Says AI's Competitive Moat Is Shifting Beyond OpenAI - Palantir Technologies (NASDAQ:PLTR), NVID
Karp isn't trying to build the next frontier AI model. Instead, he's making the case that the most valuable part of the AI stack could ultimately sit above it -- a software layer that lets enterprises switch between models without giving up control of their data, workflows or intellectual property. Speaking to The Information after his CNBC appearance, Karp said businesses are becoming increasingly concerned that relying too heavily on proprietary AI providers could leave them vulnerable if those companies optimize models using customer insights or eventually compete against them. "There's just very deep frustration around...are they gonna optimize the models for me, or are they gonna take the alpha of my business, transfer in their weights, and compete against me?" Karp said. Palantir Bets on the AI Application Layer That philosophy is increasingly shaping Palantir's AI strategy. Earlier this week, the company launched a platform designed to help U.S. government agencies securely deploy and customize Nvidia Corp's (NASDAQ:NVDA) open-source Nemotron models through Palantir's software. Karp also told The Information that some U.S. government customers had recently switched from proprietary AI models developed by companies such as Anthropic to Nvidia's open-source alternatives, although he declined to identify the agencies involved. Rather than persuading customers to commit to a single AI model, Palantir is positioning itself as the software layer that manages whichever model an enterprise chooses. Its Evolve platform already routes workloads across multiple AI models based on customer priorities such as performance, cost or security. Why the AI Moat Could Be Shifting The strategy reflects a broader shift emerging across enterprise AI. As more open-source models reach competitive performance, businesses are increasingly looking for flexibility rather than vendor lock-in. If enterprises can switch between OpenAI, Anthropic, Nvidia's Nemotron and future models without disrupting their applications, the value may increasingly reside in the software that orchestrates those models instead of the models themselves. That doesn't necessarily diminish the importance of OpenAI or Anthropic, whose proprietary models continue to lead many industry benchmarks. But it does suggest that enterprise customers may ultimately place a higher premium on governance, security and interoperability than exclusive access to any one model. What Investors Should Watch For investors, Karp's comments point to a broader debate unfolding across enterprise AI: whether long-term pricing power will remain with foundation model developers or migrate to the companies helping businesses manage them. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Alex Karp's AI Vision Gets Fresh Backing As Analysts Call Palantir the 'Oxygen' Behind Enterprise AI - Pa
Following Palantir CEO Alex Karp's CNBC interview, Futurum Equities co-host Daniel Newman praised Karp's blunt assessment of the evolving tech stack. As businesses scramble to integrate generative AI, Newman warned against the dangers of thoughtlessly feeding corporate data into public large language models (LLMs). "Taking that highly proprietary data and just dropping it into a frontier model is like giving away your alpha," Newman stated. He noted that handing over this core intellectual property directly to frontier model companies is a massive corporate "faux pas." Instead, software platforms that safely bridge the gap between private records and public AI are becoming indispensable. Building the Enterprise Air Gap To prevent intellectual property leakage, Palantir's platform serves as a secure application layer. Newman explained that modern enterprises need this software layer to protect their most valuable assets from being ingested by models looking to train on free data. "You are going to build an air gap that data where the models can be applied to it in an airgapped environment," Newman emphasized. Furthermore, this model-agnostic approach means companies are not handcuffed to a single provider like Anthropic or OpenAI. If one model underperforms or faces regulatory restrictions, Palantir allows the enterprise to seamlessly swap to an open-source alternative. The Unacquirable Moat For investors, Palantir's ability to safely govern this data pipeline creates a unique, long-term valuation moat. Futurum Equities co-host Shay Boloor highlighted that securing proprietary information is the foundational pillar of the next tech cycle. "If a company owns an ecosystem surrounding proprietary data, that is the oxygen for the AI winners going forward," Boloor explained. By providing the essential workflow and security guardrails that major frontier labs lack, Palantir has built a software moat that "cannot get acquired," positioning it as a distinct winner in the broader software resurgence. How Has PLTR Performed in 2026? PLTR shares have declined by 27.26% year-to-date, down 15.03% over the last month, and 2.13% higher over the year. The stock closed 2.84% higher at $129.30 apiece on Thursday, and it was up 0.37% in after-hours trading. Benzinga's Edge Stock Rankings indicate that PLTR maintains a weak price trend in the long, short, and medium terms, with a poor value score. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Image via Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Palantir CEO gets painfully honest about AI client trust gap
Palantir (PLTR) CEOAlex Karp just pitched the company's next big AI moment as a trust crisis. In a fresh television appearance on CNBC's "Squawk Box," Karp said the AI boom has created a problem most businesses aren't too eager to say out loud. Investors are chasing bigger models and faster chips. Still, Karp cut through the noise, pointing to an uncomfortable reality about what businesses give up when they hand over their most valuable data and decisions to outside AI providers. Interestingly, this comes as the stock has gained 11% over the past week, potentially signaling a break from the broader downtrend. For perspective, shares are still down 30% year to date and 22% over the past month, according to Seeking Alpha. In a sharp pivot from the typical AI narrative investors have been fed, Karp is reinforcing Palantir's core pitch that control could become the scarce asset in enterprise AI. That raises the bigger question for investors: Is Palantir riding the AI hype or exposing the weakness beneath it? What Alex Karp said about AI's trust problem Palantir CEO Karp believes the way AI is being sold may no longer align with what serious customers actually need. In his CNBC appearance, he identified the issue as a trust gap between companies using AI and the frontier labs supplying the models. He argued clients have a "level of discomfort and loss of trust," especially in sensitive sectors where data, intellectual property, and mission-critical decisions cannot be treated like ordinary software inputs. Karp argues that large language models alone aren't enough. In battlefield, manufacturing, clinical, and regulated settings, he said companies need an application layer that makes AI "safe and useful and precise." That is exactly where Palantir has the edge, especially in Ontology, the layer that keeps models useful without letting sensitive data, prompts, or business logic leak outside the enterprise. The bigger concern, in Karp's telling, is ownership. "Who owns the data?" he asked. "Where is it cached? Are the prompts secure?" Those questions turn the AI debate from a performance race into a control issue. In essence, Karp challenged the entire token-based AI model. If businesses feel they are paying for usage while risking their proprietary edge, Palantir can argue that its value lies not just in access to AI but in control of it. Those concerns aren't theoretical, either. Cisco's 2025 Data Privacy Benchmark found that 60% of respondents worry GenAI inputs could be shared with the public or competitors, while 58% worry the tools could harm a company's legal rights or IP. IBM separately found 97% of organizations with an AI-related security incident lacked proper AI access controls. Palantir stock price-target split widens * Wedbush: $230: Dan Ives kept an outperform rating, arguing Palantir remains a premium AI software asset, despite the pullback. * Rosenblatt: $225: Rosenblatt reiterated buy, backing Palantir's Ontology platform as a durable moat in enterprise AI. * Loop Capital: $220: Loop stayed bullish after Q1, citing AI-driven revenue growth and U.S. revenue up 104% year over year. * Morgan Stanley: $205: Morgan Stanley pointed to Palantir's 10th straight quarter of accelerating revenue and raised forecasts. * Consensus check: MarketWatch shows a $189.87 average, $200 median, $255 high, and $70 low target. Sources: Wedbush/MarketBeat, Rosenblatt, Capital.com, Business Insider, MarketWatch Why the Nvidia deal gives Palantir's warning more weight Karp went on to discuss the new Nvidia deal, saying it is exactly what Palantir's technical customers are most looking for: "control over their compute, their models, their data stack, and their alpha." For some context, Palantir and Nvidia recently announced a deal that centers on an "intelligent engine" that lets U.S. government agencies and critical-infrastructure operators run Nvidia AI and Nemotron open models in sovereign, classified, air-gapped, or sensitive environments. Nvidia described it as using Nemotron open models to deliver mission-specific, sovereign AI for government and critical infrastructure customers. Nvidia brings the AI platform, compute, and open models, while Palantir brings AIP, Ontology, Foundry, and Apollo, the software layer designed to enforce authorization, auditability, and operational control. In many ways, the partnership is a direct answer to Karp's warning. If companies are worried about where prompts are cached, who controls model weights, and whether proprietary insights migrate into closed models, Palantir is pitching itself as the control layer that keeps AI useful without giving away the crown jewels. What control of the AI stack means for investors For investors, Karp's argument effectively reframes Palantir's AI story from software demand to pricing power. Interestingly, I covered UBS's Karl Keirstead's comments, who also pointed to Palantir's pricing power, driven by its profitability and moat. He noted Palantir stock trading at 46x 2027 estimated FCF, but it looks undervalued compared to its 55% three-year CAGR. That strength will only grow if enterprise AI becomes a question of control, and the competition goes beyond model access. Karp argues that Palantir's demand will likely sit in the layer between raw models and real business operations. It also gives Palantir a way to defend premium valuation multiples if its Ontology becomes a required control system for AI deployment. For perspective, Palantir stock is trading at over 85 times forward non-GAAP earnings, which is 240% higher than the sector median, according to Seeking Alpha. Though it's changing hands at a sizeable discount to its five-year average, it still carries a lofty valuation. However, the risk is all about execution. Investors need proof that this trust argument translates into larger contracts, faster commercial adoption, and sustained margin strength. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published July 2, 2026 at 6:03 PM.
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Palantir's Surf Air Mobility and Nvidia deals answer question investors keep asking
Palantir Technologies Inc. (PLTR) confirmed two separate partnerships on Monday, June 29, one with a private aviation startup and one with Nvidia. Most coverage will treat these as routine corporate news. The pattern underneath them is not routine, however. It points to how Palantir plans to defend a valuation that has come under serious pressure this year. Palantir is working with Surf Air Mobility to expand commercial use of its OperatorOS, OwnerOS, and SurfOS platforms, according to a company press release. Separately, Palantir struck a deal to run Nvidia's AI and Nemotron open models inside sovereign environments built for U.S. government agencies and critical infrastructure. The Surf Air deal is about depth. Palantir is dedicating resources specifically to win over aircraft operators, brokers, owners, and manufacturers in private aviation. It's a market Ted Mabrey, Palantir's global head of commercial, called fragmented and reliant on manual processes. The Nvidia deal, on the other hand, is about defensibility. It gives U.S. agencies a way to run powerful open models without sending proprietary data into a closed system they don't control. The Nvidia relationship is not new, and that matters This is not Palantir's first deal with Nvidia. The two companies already integrated Nvidia's GPU computing and Nemotron models into Palantir's Ontology framework last year, with Lowe's signed on as an early adopter, building a digital replica of its supply chain. The June 29 announcement extends that foundation into a sovereign AI deployment engine aimed squarely at national security customers. Palantir CEO Alex Karp framed it as a way of letting the government use large language models without proprietary insights leaking into the weights of closed, foreign-controlled models. Nvidia CEO Jensen Huang positioned it as infrastructure for U.S. AI leadership. That framing is not accidental. Palantir has spent the past year arguing that open, controllable AI is a national security necessity, and Nvidia needs partners who can deploy its open models into the most sensitive corners of government. Each company is using the other to make its pitch more credible. Chip Somodevilla / Getty Images A strong quarter has not stopped PLTR stock from falling Here is the tension the Palantir news is trying to address. Its revenue grew 85% year over year to $1.63 billion in the most recent quarter, according to the company's Q1 2026 earnings release. U.S. commercial revenue grew even faster, up 133% to $595 million, and the company raised its full-year guidance to roughly $7.65 billion. Karp used that release to compare Palantir's 145% Rule of 40 score to a small group of elite AI infrastructure companies, including Nvidia. That comparison was not a throwaway line. It was Palantir staking a claim to sit in the same category as the chipmaker whose stock has not been punished the way Palantir's has. Despite those numbers, Palantir shares have fallen roughly 32% so far this year and touched a 52-week low near $106 in late June, according to market data. The sell-off has little to do with execution. It reflects investor anxiety that Palantir's premium valuation cannot survive rising competition from newer AI model providers, including Anthropic, in the enterprise software space. That is the gap these two deals are built to close. Surf Air shows Palantir can still win specialized commercial verticals on its own. The Nvidia deal shows it can anchor itself to the infrastructure layer of AI rather than compete directly against it. Wall Street will keep pricing the tension, not the strategy Palantir's bet is that government and infrastructure customers will pay for security and control even as cheaper, more capable models proliferate elsewhere. Nvidia's bet is that being the open, controllable option keeps it relevant, no matter which application layer wins. Both bets depend on a narrative holding up under pressure neither company fully controls. The next test is not another partnership announcement. It is whether Palantir's commercial growth rate holds when it laps the 133% comparison next quarter, and whether investors decide that is enough. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published June 30, 2026 at 6:33 AM.
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Why Is Palantir Stock Surging On Wednesday? - Palantir Technologies (NASDAQ:PLTR)
Palantir Technologies Inc. (NASDAQ:PLTR) stock is trading at slightly elevated levels on Wednesday. The upward movement follows a Tuesday announcement detailing two separate strategic initiatives: a sovereign artificial intelligence partnership with Nvidia Corp and an expanded commercial agreement with Surf Air Mobility Inc. Nasdaq futures are down 0.39% while S&P 500 futures have shed 0.15%. Strategic Sovereign AI Collaboration With Nvidia The partnership with Nvidia focuses on delivering an intelligent engine to run Nvidia AI and Nemotron open models in sovereign environments, targeting U.S. government agencies and critical infrastructure. The collaboration integrates Nvidia's AI platform with Palantir's AIP, Ontology, Foundry and Apollo products. "Combining Palantir infrastructure with Nvidia's AI and Nemotron models will allow the U.S. government to unleash the full power of LLMs while removing the underlying security risks," said Alex Karp, co-founder and CEO of Palantir. Jensen Huang, founder and CEO of Nvidia, added, "Palantir's Nemotron-powered intelligent engine shows how open models can strengthen America's leadership in AI." Expanded Commercial Aviation Partnership Palantir also expanded its commercial partnership with Surf Air Mobility, committing additional engineering and go-to-market resources to accelerate SurfOS development. The system utilizes Palantir's AIP and Foundry. "With Foundry and AIP powering SurfOS, we see a clear opportunity to build and define the central operating system for the future of aviation and air mobility," said Ted Mabrey, Global Head of Commercial at Palantir. Financial Context And Market Outlook The stock gains come amid a challenging year-to-date period for the company, with shares down 30.50% at $116.67. This follows a strong first quarter where Palantir posted revenue of $1.63 billion, beating Wall Street expectations of $1.54 billion. Additionally, 'Big Short' investor Michael Burry previously disclosed he has shorted Palantir, alongside short positions in Tesla Inc. and Nvidia. Critical Technical Levels for PLTR to Watch From a longer-term trend perspective, PLTR is still in a clear downtrend: it's trading 6.7% below its 20-day SMA, 11.8% below its 50-day SMA, 14.3% below its 100-day SMA, and 24.6% below its 200-day SMA. The crossover picture reinforces that bearish structure, with the 20-day SMA below the 50-day SMA and a death cross (50-day SMA below the 200-day SMA) that occurred in February. PLTR Price Action: Palantir Technologies shares were up 2.42% at $119.49 during premarket trading on Wednesday, according to Benzinga Pro data. 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.
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Why is Palantir stock rallying today? By Investing.com
Investing.com -- Palantir Technologies stock is rising 3.7% in pre-open trading today, extending a powerful multi-session rally that was ignited by a convergence of high-impact company-specific catalysts. The most significant of these was the announcement of a strategic sovereign AI collaboration with Nvidia, under which the two companies will deploy Nvidia's Nemotron open-source AI models within Palantir's platforms for U.S. government agencies and critical infrastructure operators -- a deal that positions Palantir at the core of how sensitive government environments adopt advanced AI. Simultaneously, the U.S. Army selected Palantir Foundry as the cloud data layer for its Next Generation Command and Control (NGC2) program, described as the Army's highest-priority modernization effort, signaling durable, multi-year defense revenue. Adding further fuel, DA Davidson upgraded PLTR from Neutral to Buy and raised its price target to $175 from $165, arguing that Palantir has grown into its valuation as profits have soared and the earnings multiple has compressed. Investor sentiment received an additional lift from President Trump's 2025 certified financial disclosure, which revealed he holds at least $1 million in Palantir shares and recently added to the position. CEO Alex Karp also appeared on CNBC, publicly condemning the token-based pricing model used by frontier AI labs, arguing that enterprises are being subjected to what he characterized as a "wealth tax" on tokens -- commentary that reinforced Palantir's differentiated, outcome-based platform model and drew fresh attention to the stock. The broader context is also supportive at the sector level. A notable rotation has been underway, with capital flowing out of AI semiconductor names and back into AI software stocks, lifting peers across the space. Guggenheim upgraded Salesforce and ServiceNow to Buy, arguing that AI-disruption fears had pushed software valuations too low -- a thesis that directly benefits Palantir. Despite this sector tailwind, the main U.S. indices remain modestly negative today, with the S&P 500 down 0.2% and the Nasdaq off 0.7%, underscoring that Palantir's pre-market move is driven almost entirely by company-specific news rather than macro momentum. Taken together, the Nvidia partnership, the Army NGC2 contract, the DA Davidson upgrade, the Trump disclosure, and Karp's high-profile commentary have created a rare alignment of catalysts that is sustaining buying pressure into today's pre-market session, even as the broader market trades in the red and Palantir's shares remain well below their 52-week high of $207.52. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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5-star analyst gives beaten-down Palantir stock a bullish verdict
Palantir (PLTR) stock has effectively gone from AI favorite to AI laggard. Though we saw a resurgence late last week, shares are down seven straight sessions and remain down 37% in 2026, as investors fret over the stock's valuation and the competitive edge it may be harder to defend. Hence, the market is treating Palantir with caution. UBS is taking the other side. After recent meetings with top executives and Palantir's latest AIPCon event, 5-star analyst Karl Keirstead came away with a more bullish read than the recent stock action suggests. For perspective, Keirstead's 5-star rating from TipRanks ranks him No. 542 among 12,331 Wall Street analysts and No. 1,294 among 28,973 experts. His calls show a 61% success rate, with 251 of 411 ratings profitable, and an average return of 13% per rating, adding weight to his Palantir view. Kierstead isn't ignoring the debate over AI competition, but he appears far less worried than the market does. What UBS says investors are missing about Palantir stock UBS analyst Karl Keirstead is pushing back against the stock market's colder view of Palantir as worries mount over OpenAI, Anthropic, Databricks, and others moving deeper into the company's territory. Keirstead sees that fear as incomplete. "At 46x our 2027E FCF, we believe that Palantir shares are undervalued relative to medium-term growth," he said, pointing to an estimated 3-year CAGR of about 55% and high profitability. According to Seeking Alpha, Palantir's profitability profile looks pristine to say the least. Its 84% gross margin is far above the sector median of around 50%, while its 44% net income margin sharply outpaces peers. Just as important, Palantir's 34% levered free cash flow margin shows that its growth is converting efficiently into cash. At the heart of UBS's argument is the idea that investors may be treating Palantir as just another AI software layer. After meetings with management and Palantir's latest AIPCon, Keirstead highlighted the company's "complexity and depth", saying its operating system goes beyond LLM deployment, data ingestion, and semantic layers. According to him, no AIPCon customer said LLMs can currently replace Palantir for data workloads. A global systems-integration partner also said Palantir's "action engine" gives it a "5-year moat". Why Palantir's AI moat is back in focus Palantir's AI moat has been unshakeable over the years. What it has done so brilliantly is connect AI to messy real-world operations where decisions, permissions, workflows, and data quality matter. Front and center are its ontology layer and operating system, which help a company map how its business actually works, then let AI act within that map. The recent wins show why that matters. SAP expanded its work with Palantir in May to use AIP for AI-supported data migration, a painful enterprise problem where mistakes can prove to be incredibly costly. Palantir says its AIP tools helped move more than 20,000 SAP location records to S/4HANA in two weeks. The same pattern appears outside software. Reuters reported in January that Palantir signed a multi-year HD Hyundai deal worth hundreds of millions of dollars after its tools helped lift shipbuilding production by about 30%. Government work adds another proof point. Reuters reported last year that the U.S. Army consolidated software contracts into a Palantir enterprise deal worth up to $10 billion over 10 years. So even though LLMs can be powerful, Palantir is selling the layer that turns AI into controlled decisions inside complex institutions. Wall Street price targets for Palantir stock * Wedbush's Dan Ives has a $230 target, the most aggressive named bull case, tied to Palantir's AI demand, according to Yahoo Finance. * Citi's Tyler Radke cut Palantir to $210 ahead of Q1 but kept a buy rating, citing broader software weakness, according to Investor's Business Daily. * Morgan Stanley kept an Equal Weight rating and $205 target, balancing AI upside against valuation risk, according to TheStreet. * MarketBeat puts Palantir's average target at $192.76, with a high of $255 and a low of $90. Sources: Yahoo Finance, Investor's Business Daily, TheStreet, and MarketBeat. Palantir's chart is still in repair mode Barchart's June 29 technical table shows Palantir stock is still looking to mount a snapback, but the trend is still damaged. The stock is down 25% over 20 days, 30% versus the 200-day period, and 34% year to date. Hence, the recent bounce hasn't reversed the larger sell-off. The first level to watch is the 5-day moving average at $113. Holding above that would show short-term buyers are still defending the rebound. The bigger test is the 20-day average at $130.20, followed by the 50-day average at $136. A move back above those levels would make the recovery look more credible. Momentum is still weak. Relative strength sits between 39 and 46, while stochastic readings near 10% to 20% suggest the stock is beaten down but not yet out of the woods. Volatility is also high, with the average true range near 5.3%-5.9%, suggesting Palantir could keep swinging sharply before a clearer trend returns. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published June 29, 2026 at 7:47 PM.
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Palantir In Focus: Company Strikes Nvidia Sovereign AI Deal, Deepens Surf Air Partnership - Palantir Tech
* Palantir stock is trading at slightly elevated levels. Where is PLTR stock headed? The Nvidia Partnership Key capabilities include explicit data authorization, secure perimeter enforcement, customer-specific isolation, data portability, and full auditability -- allowing government agencies to deploy models in classified and air-gapped environments while continually improving them based on mission-specific feedback. "Combining Palantir infrastructure with Nvidia's AI and Nemotron models will allow the U.S. government to unleash the full power of LLMs while removing the underlying security risks," said Alex Karp, co-founder and CEO of Palantir. "Palantir's Nemotron-powered intelligent engine shows how open models can strengthen America's leadership in AI," said Jensen Huang, founder and CEO of Nvidia. The Surf Air Mobility Expansion Separately, Palantir announced an expansion of its partnership with Surf Air Mobility, committing additional engineering and go-to-market resources to accelerate the development and commercial release of SurfOS, including OperatorOS, OwnerOS, and SurfOS Enterprise Solutions. The expanded partnership builds on the successful commercial launch of BrokerOS and a recent multi-million-dollar contract with Wheels Up to serve as the launch customer for Enterprise BrokerOS. SurfOS is powered by Palantir's AIP and Foundry and is designed to modernize the private aviation and air mobility industries. "With Foundry and AIP powering SurfOS, we see a clear opportunity to build and define the central operating system for the future of aviation and air mobility," said Ted Mabrey, Global Head of Commercial at Palantir. Palantir Shares Trade Flat PLTR Price Action: At the time of publication, Palantir shares are trading 0.17% higher at $115.90, according to data from Benzinga Pro. Image via 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.
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Why is Palantir stock rallying today? By Investing.com
Investing.com -- Palantir Technologies stock rose 4.3% in morning trading today after the company unveiled a high-profile strategic alliance with Nvidia to bring Nvidia's Nemotron open-source AI models into classified and sovereign environments for U.S. government agencies and critical infrastructure operators. The collaboration integrates Nvidia's AI platform and accelerated computing capabilities with Palantir's suite of products -- including AIP, Ontology, Foundry, and Apollo -- enabling government customers to train, customize, and deploy advanced language models without exposing sensitive data to external model parameters. A second corporate announcement added further momentum: Palantir expanded its existing software partnership with Surf Air Mobility, committing additional engineering and commercial resources to accelerate the rollout of OperatorOS, OwnerOS, and SurfOS Enterprise Solutions for the private aviation sector. Adding to the positive tone, prominent short-seller Michael Burry cut his Palantir put option holdings by roughly half in the week ending June 26, a move that removed a well-publicized bearish overhang and triggered a wave of short-covering that had been building since Burry's earlier prediction of a steep price decline. The stock's move today also benefited from a broader market recovery. U.S. equities rebounded after a turbulent prior week, with the S&P 500 adding 0.4%, the Dow Jones gaining 0.6%, and the Nasdaq rising 0.7%, as investors rotated back into AI-related names. No major economic data was scheduled for release today; the prior week's PCE inflation reading -- which showed headline inflation at its highest level since April 2023 -- had already been absorbed by markets and came in broadly in line with forecasts, while the Federal Reserve held rates steady at its June meeting for the fourth consecutive time. Taken together, the Nvidia partnership provided the clearest company-specific catalyst for today's move, reinforcing Palantir's positioning as a critical software layer for government AI deployment at a moment when the stock had been trading near its 52-week low of $106.37. The combination of a high-profile deal, a reduced short position, and a recovering broader market created the conditions for shares to trade as high as $119.08 intraday. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Why Is Palantir Technologies Stock Gaining Monday? - Palantir Technologies (NASDAQ:PLTR), NVIDIA (NASDAQ:
Palantir Expands Sovereign AI Capabilities The latest catalyst came from Palantir's announcement of an "intelligent engine" that deploys NVIDIA Nemotron open models in sovereign environments. The platform targets government agencies and critical U.S. infrastructure operators that require secure, mission-critical AI deployments while maintaining operational control over sensitive data. According to the company, the platform includes explicit data authorization, secure perimeter enforcement, customer-specific isolation, data portability, the right to erase data and full auditability. Those features are designed to help organizations meet strict regulatory and security requirements. Palantir Expands Surf Air Mobility Partnership Separately, Palantir and Surf Air Mobility on Monday expanded their partnership to accelerate the commercialization of SurfOS. The companies are adding engineering and go-to-market resources to speed the rollout of OperatorOS, OwnerOS and SurfOS Enterprise Solutions. The expansion follows the commercial launch of BrokerOS and Surf Air Mobility's recent multi-million-dollar Enterprise BrokerOS agreement with Wheels Up. Powered by Palantir's Artificial Intelligence Platform (AIP) and Foundry, SurfOS is designed to modernize private aviation by helping operators, brokers, owners and manufacturers improve efficiency while reducing costs. The companies said the expanded partnership will accelerate product development, including the deployment of AIP agents, and position SurfOS as a central operating system for the private aviation and air mobility industry. Technical Picture Still Faces Resistance Despite Monday's rally, Palantir remains below several important technical levels. The stock trades 9.7% below its 20-day simple moving average of $130.23, 13.5% below its 50-day SMA of $135.95 and 25.8% below its 200-day SMA of $158.60. That setup suggests the longer-term downtrend remains intact. The February "death cross," when the 50-day SMA fell below the 200-day SMA, continues to weigh on the technical outlook. Momentum also remains subdued. The Moving Average Convergence Divergence (MACD) indicator sits below its signal line, while the histogram remains negative. That typically indicates buyers need stronger follow-through before a sustained uptrend can develop. The next major resistance level is near $136, close to the 50-day moving average. Earnings And Analyst Outlook The company's next earnings report is expected on August 3. Analysts expect earnings of 33 cents per share on revenue of $1.81 billion. That compares with earnings of 16 cents per share and revenue of $1 billion a year earlier. Palantir trades at roughly 126.9 times earnings, reflecting its premium valuation. Benzinga Edge Ratings Benzinga Edge assigns Palantir a Momentum score of 6.5, reflecting soft recent momentum despite Monday's rally. The stock earns a Value score of 2.66 because of its premium valuation. However, its Growth score of 97.73 underscores strong expectations for continued expansion. ETF Exposure Large inflows or outflows in those funds can create additional buying or selling pressure because of the stock's sizable weighting. Price Action PLTR Stock Price Activity: Palantir Technologies shares were up 4.51% at $118.02 at the time of publication on Monday, according to Benzinga Pro data. Photo via Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Military software company Palantir faces mounting pressure as its stock drops 33% year-to-date amid fears that OpenAI and Anthropic could replicate its data analytics capabilities. CEO Alex Karp is pushing back hard, arguing the real value in enterprise AI lies not in large language models themselves, but in the secure application layer that lets businesses maintain control over their proprietary data and workflows.
Military software company Palantir has experienced a sharp decline, with shares sliding nearly 33% since the beginning of 2026, underperforming the broader iShares IGV tech software ETF, which is down about 14% in the same period
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. The company, led by CEO Alex Karp, confronts what analysts describe as a "looming specter" of frontier AI models from OpenAI and Anthropic potentially replicating the data-heavy workloads that Palantir specializes in. Despite strong fundamentals—including 85% year-over-year revenue growth to $1.63 billion and U.S. commercial revenue up 133% to $595 million in Q1 2026—investor concerns about AI competition have weighed heavily on valuations5
.John McPeake, senior research analyst at Rosenblatt, told CNBC that investor concerns center on the perception that large language models could act as code generators capable of doing anything, including creating Palantir-like platforms
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. Karl Keirstead at UBS noted "rising investor concern" about Anthropic and OpenAI's data workload capabilities and their ability to turn those powers into commercial products that customers might use instead of spending on Palantir1
. Hedge fund manager Michael Burry has even taken a short position, stating he covered half his short at $107.15 while continuing to hold puts1
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Source: Benzinga
Karp has pushed back forcefully against the notion that large language models alone can replicate Palantir's value proposition, calling it a "complete farce." Speaking to CNBC, he emphasized that "it is not that large language models aren't crucial for the world; it's just the implementation is where the value is"
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. His argument centers on a fundamental trust gap in enterprise AI—businesses are increasingly concerned about handing over proprietary data and intellectual property to external AI providers who might optimize models using customer insights or eventually compete against them.In conversations with The Information, Karp articulated this concern more directly: "There's just very deep frustration around...are they gonna optimize the models for me, or are they gonna take the alpha of my business, transfer in their weights, and compete against me?"
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. This philosophy shapes Palantir's AI vision, which positions the company not as a model builder but as a secure application layer that lets enterprises switch between models without surrendering control of their data, workflows, or competitive advantages. Karp's pitch is that businesses need software that makes AI "safe and useful and precise," particularly in battlefield, manufacturing, clinical, and regulated settings4
.Palantir recently launched an AI platform designed to help U.S. government agencies securely deploy and customize Nvidia's open-source Nemotron models through Palantir's software
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. The Nvidia partnership centers on an "intelligent engine" that lets government agencies and critical-infrastructure operators run Nvidia AI and Nemotron open models in sovereign, classified, air-gapped, or sensitive environments4
. Karp revealed that some U.S. government customers had recently switched from proprietary AI models developed by companies such as Anthropic to Nvidia's open-source alternatives, though he declined to identify the specific agencies2
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Source: Benzinga
This isn't Palantir's first collaboration with Nvidia. The companies previously integrated Nvidia's GPU computing and Nemotron models into Palantir's Ontology framework last year, with Lowe's as an early adopter building a digital replica of its supply chain
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. The June 29 announcement extends that foundation into sovereign AI deployments aimed squarely at national security customers. Nvidia brings the AI platform, compute, and open models, while Palantir provides AIP, Ontology, Foundry, and Apollo—the software layer designed to enforce authorization, auditability, and operational control4
.The concerns Karp raises aren't theoretical. Cisco's 2025 Data Privacy Benchmark found that 60% of respondents worry GenAI inputs could be shared with the public or competitors, while 58% worry the tools could harm a company's legal rights or intellectual property. IBM separately found 97% of organizations with an AI-related security incident lacked proper AI access controls
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. These statistics underscore the data governance challenges enterprises face as they integrate generative AI into operations.Futurum Equities co-host Daniel Newman, commenting on Karp's CNBC interview, warned that "taking that highly proprietary data and just dropping it into a frontier model is like giving away your alpha." He emphasized that software platforms bridging the gap between private records and public AI are becoming indispensable
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. Newman explained that modern enterprises need this control layer to protect their most valuable assets from being ingested by models looking to train on free data. Futurum Equities co-host Shay Boloor added that "if a company owns an ecosystem surrounding proprietary data, that is the oxygen for the AI winners going forward"3
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Rather than persuading customers to commit to a single AI model, Palantir positions itself as the software layer managing whichever model an enterprise chooses. Its Evolve platform already routes workloads across multiple AI models based on customer priorities such as performance, cost, or security
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. This model-agnostic approach means companies aren't handcuffed to a single provider. If one model underperforms or faces regulatory restrictions, Palantir allows enterprises to seamlessly swap to alternatives.
Source: Benzinga
This strategy reflects a broader shift in enterprise AI. As more open-source models reach competitive performance, businesses increasingly seek flexibility rather than vendor lock-in. If enterprises can switch between OpenAI, Anthropic, Nvidia's Nemotron, and future models without disrupting their applications, the value may increasingly reside in the software that orchestrates those models instead of the models themselves
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. Partner company Snowflake acknowledged this dynamic, with Christian Kleinerman, Snowflake's head of product, noting potential "overlap" between what frontier AI models do and what data specialists do, though he characterized the relationship as "more complementary than not"1
.Despite Palantir raising its full-year guidance to roughly $7.65 billion and Karp comparing the company's 145% Rule of 40 score to elite AI infrastructure companies including Nvidia, shares touched a 52-week low near $106 in late June
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. The sell-off reflects anxiety that Palantir's premium valuation—which included triple-digit price-to-earnings and enterprise value-to-sales multiples over past quarters—cannot survive rising competition from newer AI model providers in the enterprise software space1
.Analyst price targets reveal a widening split. Wedbush maintains a $230 target with an outperform rating, arguing Palantir remains a premium AI software asset. Rosenblatt holds a $225 buy rating, backing Palantir's Ontology platform as a durable competitive moat. Loop Capital set a $220 target citing AI-driven revenue growth and U.S. revenue up 104% year over year. Morgan Stanley pointed to Palantir's 10th straight quarter of accelerating revenue with a $205 target. However, MarketWatch shows consensus at $189.87 average, with targets ranging from a $70 low to $255 high
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. Some analysts remain optimistic about AI infrastructure buildout benefits. Dan Ives of Wedbush told CNBC that "the market is way mispricing what this demand trend is going to look like over the next six to nine months"1
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