Mourning Report CMS Site (Admin)

Blog

  • Palantir Is Not a “Dying Horse” — But the Valuation Debate Is Very Real

    Palantir Is Not a “Dying Horse” — But the Valuation Debate Is Very Real

    A Reddit post calling Palantir “a dying horse” sparked a familiar fight: is PLTR an overhyped government surveillance stock, or one of the few software companies actually turning AI into revenue? The answer is less dramatic than either side wants it to be. Palantir is not dying. But at its current valuation, investors are paying an enormous premium for execution that has to stay almost flawless.

    A recent r/stocks post argued that Palantir’s stock has broken down technically, that the political narrative around government surveillance is becoming harder to defend, and that the company is wildly overvalued compared with C3.ai. The post framed Palantir as less of an “AI operating system” and more of a professional-services-heavy government contractor with a surveillance premium.

    That is the bearish case in its simplest form. The problem is that some of the argument is directionally fair, while other parts collapse under the actual financial data.

    The Bear Case: Palantir’s Valuation Leaves Almost No Room for Mistakes

    The strongest argument against Palantir is not that the business is failing. It is that the stock already prices in a massive amount of future success.

    As of May 26, 2026, Palantir trades around $136.60 per share, with a market cap of roughly $351 billion and a trailing P/E ratio above 150. That is an extreme valuation for almost any software company, even one growing quickly.

    That valuation matters because Palantir is no longer being valued like a speculative growth story that might someday scale. It is being valued like a dominant AI infrastructure company that must keep delivering very high growth, high margins, and expanding commercial adoption for years.

    The Reddit post also pointed to technical weakness, saying Palantir had fallen below its 200-day moving average and was down sharply year to date. That concern lines up with broader market coverage showing Palantir underperforming many software peers in 2026 despite strong earnings, with valuation and competition concerns weighing on the stock.

    So the bearish argument is not crazy. Palantir can be a great company and still be a risky stock at the wrong price.

    The Surveillance Narrative Is a Real Risk

    Palantir’s government work has always been part of the bull case and the controversy. The company’s Gotham platform and defense/intelligence relationships give it deep access to agencies that most software companies could never reach. That creates sticky contracts, credibility, and a moat.

    But it also creates headline risk.

    That risk is not theoretical. London Mayor Sadiq Khan recently blocked a proposed £50 million Metropolitan Police AI deal involving Palantir, citing procurement, legal, ethical, and reputational concerns.

    For investors, the issue is not just whether Palantir’s technology works. It is whether governments, regulators, and voters become more skeptical of giving one U.S.-based data analytics company deeper roles in policing, immigration, defense, and intelligence workflows.

    That does not mean Palantir is doomed. Governments are not going to stop buying defense and intelligence software. But the company’s political baggage can affect procurement, public perception, and the multiple investors are willing to pay.

    The Bull Case: Palantir’s Numbers Are Hard to Ignore

    Where the Reddit argument gets weaker is in suggesting Palantir is merely a struggling services company with an AI label slapped on top.

    Palantir’s latest reported numbers are not weak. In Q1 2026, the company reported 85% year-over-year revenue growth, with U.S. revenue up 104%. Its U.S. government revenue grew 84%, while U.S. commercial revenue grew 133% year over year.

    That last number is important. The bearish argument often treats Palantir as primarily a government contractor, but its commercial business is growing extremely fast. Palantir’s own Q1 business update showed U.S. commercial revenue rising from $255 million in Q1 2025 to $595 million in Q1 2026.

    Reuters also reported that Palantir raised its full-year 2026 revenue forecast to about $7.65 billion to $7.66 billion, up from its previous range of roughly $7.18 billion to $7.20 billion.

    That is not what a dying business looks like. That is what a very expensive, very fast-growing business looks like.

    The C3.ai Comparison Does Not Really Work

    The Reddit post compares Palantir to C3.ai, arguing that C3.ai does similar work while trading at a much smaller market cap. That comparison sounds tempting, but the businesses are not performing at the same level.

    C3.ai’s fiscal Q3 2026 revenue was $53.3 million, and the company reported a GAAP net loss per share of $0.94. Its GAAP gross margin was only 17% for the quarter.

    By contrast, Palantir reported Q1 2026 revenue of $1.63 billion, GAAP net income of $871 million, and an adjusted free cash flow margin of 57%.

    C3.ai has also been restructuring. Reuters reported that C3.ai cut about 26% of its global workforce after disappointing results and a weak revenue outlook.

    So while both companies market enterprise AI software, the market is not simply giving Palantir a random premium. Palantir is growing faster, generating far more revenue, and producing profits and cash flow at a level C3.ai is not currently matching.

    A better critique is not “Palantir should trade like C3.ai.” It is “Palantir’s valuation assumes it will keep separating from companies like C3.ai for a long time.”

    Palantir’s Real Question: Platform or Consulting Shop?

    The biggest long-term question is whether Palantir is truly becoming a scalable AI platform company or whether too much of its growth still depends on high-touch deployment, custom work, and deep customer handholding.

    If Palantir’s Artificial Intelligence Platform becomes a sticky enterprise operating layer — something customers build workflows on top of and cannot easily rip out — then the premium valuation starts to make more sense.

    But if the business remains closer to elite AI consulting plus government contracting, then the stock becomes much harder to defend at a $300-billion-plus valuation.

    This is where the debate should be focused. Not on whether Palantir is “evil” or “dead,” but on whether its commercial growth can scale without losing the economics that make software companies so valuable.

    Verdict: Not Dead, Just Priced for Greatness

    Calling Palantir a “dying horse” is too dramatic. The company is growing revenue at a remarkable pace, expanding its U.S. commercial business, raising guidance, and generating serious cash flow.

    But the stock is also priced like one of the defining AI winners of the decade. That means the risk is not business failure. The risk is disappointment.

    For bulls, Palantir is one of the few companies proving that enterprise AI can produce real revenue today.

    For bears, Palantir is a politically controversial, government-heavy software company trading at a valuation that already assumes years of near-perfect execution.

    Both sides have a point. Palantir is not dead. But at this valuation, it cannot afford to look even slightly mortal.

    Postmortem: Our Take

    The market is treating Palantir like a company that already won the AI war. That may end up being true, but the current valuation leaves very little room for reality to get messy.

    The Reddit bear case gets one thing right: Palantir is expensive enough that “good” is no longer good enough. At a $300B+ market cap, investors are not paying for Palantir to be a strong government contractor, a good enterprise software company, or even a fast-growing AI platform. They are paying for Palantir to become one of the most important software companies in the world.

    That is where the risk sits.

    The lazy bear argument is that Palantir is just a surveillance company hiding behind AI branding. That misses the point. Palantir’s commercial growth, government demand, and AI platform momentum are very real. The company is not dying. It is executing better than most companies in the AI software space.

    But the lazy bull argument is just as dangerous: that because Palantir is growing fast, any price is justified. That is how investors get hurt. Great companies can become bad stocks when the market front-loads too much future success into today’s share price.

    Our view: Palantir is not a dying horse. It is a high-performance racehorse being priced like it already won the Triple Crown, the Kentucky Derby, and somehow also invented the racetrack.

    The real postmortem question is not whether Palantir survives. It almost certainly does. The question is whether shareholders buying at these levels are being paid enough for the risk that growth slows, political scrutiny increases, commercial adoption normalizes, or the AI hype cycle cools off.

    Palantir may still be one of the best pure-play AI software stories in the market. But at this valuation, the stock does not need bad news to fall. It only needs results that are slightly less perfect than expected.

    That is the danger zone.

  • ClickUp’s AI Gamble: A Bold Move or a Misstep?

    ClickUp’s AI Gamble: A Bold Move or a Misstep?

    When ClickUp, a promising startup once valued at $4 billion, announced it was laying off 22% of its workforce, the company framed it not as a cost-cutting measure but as a bold leap into the future of work. The future, according to ClickUp, is one where AI agents replace hundreds of human workers, promising unprecedented productivity gains.

    What happened

    ClickUp’s CEO, Zeb Evans, recently announced the layoff of a significant portion of the company’s workforce, replacing them with approximately 3,000 AI agents. Evans emphasized that this move was not about saving money but about embracing AI to propel the company toward becoming a “100x org” (TechCrunch). Employees who remain will reportedly be rewarded with higher salary bands if they effectively utilize AI, shifting the focus from traditional labor to AI-driven productivity.

    Why it matters

    This move by ClickUp is a microcosm of a larger trend in the tech industry, where companies are increasingly relying on AI to boost productivity. According to a Gartner survey, around 80% of companies using autonomous technology have cut jobs. However, the survey also suggests that these cuts do not necessarily lead to significant financial gains. The question remains whether AI’s promise of efficiency can translate into tangible business outcomes.

    Postmortem

    ClickUp’s strategy raises several questions about the sustainability of such an AI-driven workforce model. While Evans is optimistic about the productivity gains from AI agents, the broader industry context suggests caution. The concept of “tokenmaxxing,” or measuring employees by their AI tool usage, may not be the best metric for success. Critics argue that this focus might lead to increased AI-related expenses without corresponding benefits. Furthermore, relying heavily on AI could erode company culture and employee morale, as the fear of displacement looms large.

    Moreover, ClickUp’s approach may not align well with its long-term stability. The rapid adoption of AI at the expense of human jobs could create instability, both within the company and in the broader labor market. As companies like ClickUp push the boundaries of AI integration, they risk alienating their workforce and potentially undermining their operational effectiveness.

    ClickUp’s bold move into AI-driven productivity could either prove to be visionary or a cautionary tale of overreliance on technology. As the company navigates this transition, the tech world watches closely to see if AI can indeed deliver on its promises or if the human element remains irreplaceable.

    The open question

    As AI continues to reshape the workforce landscape, the critical question for companies like ClickUp is whether they can maintain a balance between technological innovation and human capital. Will AI-driven productivity truly lead to a more efficient and profitable future, or will it expose the limitations of technology as a substitute for human ingenuity?

  • The Debt Elephant: How U.S. Fiscal Mismanagement Fuels Bond Market Chaos

    The Debt Elephant: How U.S. Fiscal Mismanagement Fuels Bond Market Chaos

    In the midst of a bond market selloff, the United States is grappling with a financial conundrum that could have been avoided: escalating debt exacerbated by rising interest costs. The elephant in the room, as analysts from Bank of America put it, is the burgeoning U.S. fiscal deficit, which is increasingly driving market instability.

    What happened

    The recent turmoil in the bond market, marked by a selloff and rising yields, can be traced back to a combination of high oil prices, persistent inflation, and resilient economic indicators. However, a more insidious factor is the deteriorating fiscal health of the U.S., which analysts argue is turning short-term problems into long-term market upheavals. As long-term yields hit levels unseen since the Great Financial Crisis, the bond vigilantes have made a comeback, pushing yields higher in protest of the U.S.’s unsustainable fiscal path (source).

    Why it matters

    The implications of this financial scenario are profound. Rising interest rates, compounded by high inflation and economic resilience, typically lead to expectations of Federal Reserve rate hikes. However, the current situation has led to a steepening yield curve, with long-term rates surging. This anomaly suggests deeper issues at play, primarily the U.S.’s fiscal policy. As interest payments on debt swell, the federal budget is strained, potentially leading to increased deficits and further market instability.

    Postmortem

    At the heart of this issue lies a governance failure in managing the nation’s fiscal health. The federal government’s need to issue more debt than anticipated, exacerbated by tax cuts and weakening cash flow, highlights a lack of foresight. The Committee for a Responsible Federal Budget projects that if rates remain elevated, the debt could balloon by an additional $2 trillion over the next decade. This paints a grim picture where debt servicing costs could consume a significant portion of federal revenue, rising from 19% in 2025 to 30% by 2036. Such fiscal mismanagement not only threatens market stability but also leaves the U.S. vulnerable to future economic shocks.

    The open question remains: Can the U.S. government implement effective fiscal policies to manage its burgeoning debt and stabilize market conditions, or will the debt elephant continue to trample through the economy?

  • The ARR Mirage: How Inflated Metrics Mislead AI Investors

    The ARR Mirage: How Inflated Metrics Mislead AI Investors

    In the high-stakes world of AI startups, where valuations soar and investors swoon, one might wonder whether some companies are conjuring revenue figures out of thin air. It appears that many AI startups are inflating their annual recurring revenue (ARR) metrics, with the willing complicity of investors who stand to benefit from the illusion of rapid growth.

    What happened

    Scott Stevenson, CEO of legal AI startup Spellbook, recently made waves by accusing AI startups of inflating their revenue figures, a claim that resonated widely within the tech community. According to Stevenson, many startups are presenting contracted annual recurring revenue (CARR) as actual ARR, a practice that significantly distorts financial realities (TechCrunch). The issue is compounded by the fact that many investors are aware of, and perhaps even encourage, these exaggerations.

    Why it matters

    The inflation of ARR metrics isn’t just a harmless fib; it’s a distortion that can have far-reaching implications. In an industry where growth rates are a key determinant of valuation, misleading figures can lead to misguided investment decisions, skewed market perceptions, and ultimately, financial losses. The practice of inflating ARR is particularly tempting in the AI sector, where the pressure to demonstrate explosive growth is immense, and the rewards for appearing successful are significant.

    Postmortem

    The root of the problem lies in the flexibility of the ARR metric itself. ARR was originally designed to reflect the value of signed contracts, providing a reliable measure of a company’s financial health. However, the introduction of CARR—a metric that includes revenue from contracts not yet implemented—has muddied the waters. The temptation to report CARR as ARR is strong, particularly when investors are more interested in a good story than a balanced ledger. This creates a vicious cycle where startups inflate figures to attract investment, and investors turn a blind eye to maintain the façade of picking winners.

    The real tragedy here is the erosion of trust. When financial metrics become marketing tools, the integrity of the entire industry is at risk. Investors depend on accurate data to make informed decisions, and when that data is compromised, everyone loses.

    Closing thoughts

    Investors and regulators alike must grapple with the question of how to assess the true value of AI startups amid this fog of inflated metrics. As the AI sector continues to grow, will transparency improve, or will investors be left to sift through the hype for kernels of truth? The answer may well determine the future landscape of AI investment.

  • Cox Media’s AI Overreach: When Marketing Hype Meets Regulatory Reality

    Cox Media’s AI Overreach: When Marketing Hype Meets Regulatory Reality

    Cox Media has been fined by the Federal Trade Commission (FTC) for a marketing strategy that involved boasting about capabilities it never had. The company, along with its partners MindSift and 1010 Digital Works, claimed it could listen to users through their phones to target ads, a claim that turned out to be more fiction than fact.

    What happened

    In a twist that seems straight out of a dystopian drama, Cox Media and its partners were penalized for promoting a service they called Voice Data, which allegedly could eavesdrop on consumer conversations for targeted advertising purposes. According to the FTC, these claims were not just exaggerated; they were outright false (The Verge). The companies were actually reselling email lists from other data brokers, rather than deploying any sophisticated AI surveillance technology.

    Why it matters

    This incident underscores the critical importance of truth in advertising, especially as it pertains to privacy and emerging technologies. The allure of AI and data-driven marketing is undeniable, but this case illustrates the potential for overreach when companies prioritize hype over substance. The FTC’s intervention serves as a reminder that regulatory bodies are watching and willing to act when consumer trust is breached.

    Postmortem

    At the heart of this debacle is a significant governance failure. Cox Media, in its quest to dazzle potential clients with cutting-edge capabilities, neglected the foundational business principle of aligning marketing promises with actual service delivery. By relying on sensational claims without the technology to back them up, the company not only misled clients but also risked its reputation and incurred financial penalties. This case is a textbook example of the dangers of letting marketing departments run unchecked by technical or ethical oversight.

    The fact that Cox Media’s pitch referenced the sci-fi series Black Mirror should have been a red flag to any discerning client. The company’s willingness to lean into a narrative of surveillance and privacy invasion, even as a marketing ploy, reflects a troubling disconnect from consumer concerns and ethical advertising standards.

    The $930,000 fine is a costly lesson that integrity in advertising is not just a legal obligation but a business imperative. This scenario also highlights the ongoing tension between technological advancement and privacy, a theme that will undoubtedly continue to play out as AI becomes more ingrained in marketing strategies.

    For investors and industry watchers, the open question remains: will companies learn from Cox Media’s misstep and ensure their marketing claims hold up to scrutiny, or will the allure of AI’s potential continue to tempt businesses into risky, unsubstantiated assertions?

  • AI’s Circular Revenue: A House of Cards?

    AI’s Circular Revenue: A House of Cards?

    The AI industry’s meteoric rise might be built on a shaky foundation of circular accounting practices, raising red flags about the sustainability of its revenue streams and investor trust. Recent reports suggest that major tech firms are engaging in accounting maneuvers that inflate their financial statements through so-called “round trip revenue loops.”

    What happened

    The crux of the issue lies in the financial interactions between tech giants like Microsoft, Amazon, and AI startups such as OpenAI and Anthropic. For instance, Microsoft’s $13 billion investment in OpenAI wasn’t just a cash infusion; it involved “cloud credits” for using Microsoft’s servers. OpenAI, in turn, used these credits to train its models, which Microsoft then booked as new “cloud revenue”—essentially paying itself with its own money (source). This kind of accounting trickery inflates cloud revenue figures, creating an illusion of robust business activity.

    Why it matters

    The implications of these practices extend beyond the balance sheets of individual companies. They could significantly distort market perceptions of the AI sector’s growth and profitability. When tech giants report paper profits by marking up the value of their investments based on these inflated transactions, it misleads investors and analysts about the true financial health of these companies. For instance, Alphabet reported a substantial profit partly due to these paper gains from its Anthropic investment.

    Postmortem

    This situation underscores the dangers of aggressive accounting practices. The artificial inflation of revenue figures through circular arrangements can lead to a false sense of security among investors and stakeholders. The reliance on such tactics highlights a fundamental issue: the AI industry’s current growth narrative may be more fragile than it appears. The real risk is that this house of cards could collapse if these accounting practices are scrutinized or if the underlying assumptions of value creation are challenged.

    Moreover, this practice can erode investor trust. If stakeholders begin to question the authenticity of reported revenues and profits, it could lead to increased volatility in stock prices and a reevaluation of AI companies’ valuations.

    The open question remains: Can the AI boom sustain itself without resorting to such accounting gymnastics, or is the industry heading for a reality check that could reshape its financial landscape?

  • Apple’s Epic Legal Battle: Supreme Stakes for App Store Rules

    Apple’s Epic Legal Battle: Supreme Stakes for App Store Rules

    In the ongoing saga between Apple and Epic Games, the tech giant is now asking the Supreme Court to narrow an injunction that Epic won, arguing that the ruling should not apply to all developers on the U.S. App Store. This move is the latest in a five-year legal battle over App Store fees, with Apple contending that Epic’s issues shouldn’t dictate terms for everyone, including companies like Microsoft and Spotify (TechCrunch).

    What happened

    Apple is appealing a decision from the Ninth Circuit Court that found the company in contempt for charging a 27% fee on payments made through external links in apps. These links were meant to allow developers to bypass Apple’s payment system, a requirement from a previous injunction. Apple argues that the injunction’s wording was vague and didn’t explicitly prohibit such fees, hence its compliance (TechCrunch).

    Why it matters

    The outcome of this case could have wide-reaching implications not only for Apple but for the entire app development ecosystem. If the Supreme Court rules against Apple, it could lead to a significant overhaul of App Store governance. This might open the floodgates for developers to implement their own payment systems, potentially reducing Apple’s lucrative commission revenues. Such a shift could also set a precedent affecting other tech giants with similar marketplace structures.

    Postmortem

    Apple’s insistence on maintaining its fee structure, despite the legal risks and potential damage to its public image, highlights a stubborn adherence to a lucrative business model. The company’s decision to charge fees on external payments was a calculated risk that backfired, leading to a contempt ruling. This case exemplifies the challenges of balancing profitability with regulatory compliance and developer goodwill. Apple’s strategy to appeal on narrow legal grounds, rather than addressing the broader implications of its business practices, may be a short-sighted approach that prolongs legal uncertainty.

    As Apple’s legal maneuvers continue, the tech world waits to see if the Supreme Court will uphold the existing injunction or provide Apple the relief it seeks. For investors and developers alike, the question remains: will Apple’s App Store model evolve to accommodate a more open payment ecosystem, or will it cling to its current model at all costs?

  • Elon Musk’s Solar Retreat: A Shift That Raises Eyebrows and Risks

    Elon Musk’s Solar Retreat: A Shift That Raises Eyebrows and Risks

    In a surprising twist, Elon Musk, the poster child for clean energy advocacy, appears to have shifted gears from solar power to natural gas and space-based solutions. This pivot raises questions about investor trust and long-term strategy, especially given Musk’s previous commitments to a solar-electric future.

    What happened

    Elon Musk’s company, xAI, has recently embraced natural gas, utilizing unregulated turbines to power its data centers. This is a stark departure from Tesla’s long-standing commitment to solar energy, outlined in its Master Plans. The SpaceX IPO filing further underscores this shift by highlighting a focus on space-based solar power, which SpaceX claims can generate significantly more energy than terrestrial options due to continuous sunlight exposure (TechCrunch).

    Why it matters

    This strategic pivot could have far-reaching implications. Musk’s prior advocacy for solar power was a cornerstone of Tesla’s brand and mission. By moving towards fossil fuels and speculative space-based solutions, there’s a risk of eroding investor confidence and public trust. The move also highlights the broader industry challenge of sustainably meeting the soaring energy demands of AI data centers, which Musk argues could soon exceed current global capacities.

    Postmortem

    The avoidable mistake here seems to be the suddenness of the pivot and the lack of clear communication about how these new strategies align with previous commitments. Musk has built a reputation on transformative visions, but this shift feels more reactionary than revolutionary. The reliance on natural gas could be seen as a stopgap, but without a clear timeline or roadmap back to sustainable energy, it sends mixed signals to stakeholders. Furthermore, the economics of space-based solar power remain dubious at best, with high costs and technical challenges that could delay or derail these plans.

    Investors and the public are left to wonder: is this a temporary detour or a permanent change in direction? Musk’s track record of spotting trends and pushing boundaries is well-documented, but this latest move could either be a masterstroke or a misstep. As the world grapples with increasing energy demands, the question remains whether Musk’s gamble on space will pay off, or if he’ll need to revisit the drawing board here on Earth.