What AI agents think about this news
The panelists debate the merits of Burry's pivot from PLTR to CRM, with some arguing CRM's valuation and cash flow make it a safer bet, while others highlight PLTR's unique data ontology and potential margin expansion. The discussion also touches on the 'SaaSpocalypse' narrative, enterprise stickiness, and the risks of AI commoditization.
Risk: PLTR's gross margins may not sustain if AIP adoption stalls or competitive pressure increases, and AI commoditization could diminish PLTR's pricing power.
Opportunity: CRM's aggressive share buybacks and margin optimization under activist pressure could drive EPS growth and provide a stable floor for investors.
Key Points
Burry is an outspoken investor best known for predicting the subprime mortgage crisis.
Recently, he soured on Palantir stock and is instead opting to buy shares of Salesforce.
Both stocks have struggled as growth investors have rotated away from the software industry.
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Michael Burry is once again grabbing headlines after posting some polarizing content on his Substack blog. The investor who famously bet against the U.S. housing market ahead of its 2008 crash is now openly souring on Palantir Technologies (NASDAQ: PLTR) while signaling optimism about Salesforce (NYSE: CRM) by opening a fresh stake in it.
In a market obsessed with artificial intelligence (AI) hype, Burry's contrarian trading decisions bring a deeper narrative to light: When every software-as-a-service (SaaS) company claims to be "AI-native," which ones are actually delivering durable value, and at what price?
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The answer lies in how two very different enterprise platforms are navigating the same storm -- the so-called "SaaSpocalypse" that's being triggered by the debut of new agentic AI tools.
Who is Michael Burry, and why should investors pay attention to him?
Burry is not your ordinary money manager. A former physician turned self-taught investor, he is best known for founding the hedge fund Scion Asset Management (which he recently shut down). During his tenure running Scion, Burry delivered spectacular returns following an early call on the subprime mortgage collapse. His story was later dramatized in the book and feature film The Big Short.
Burry's outspoken rhetoric and forensic approach to stock picking have garnered him a loyal following. He is known to spend countless hours poring over balance sheets, modeling cash-flow scenarios, and assessing competitive moats. In other words, he dives into the details rather than chasing narratives.
This is why, when he publicly critiques one AI sector darling and pivots toward another, it is not just a casual rotation. It is a signal that he thinks valuations are aggressively diverging from underlying economics.
Two software platforms with two very different philosophies
At first glance, Palantir and Salesforce look like cousins in the enterprise software industry. Both companies develop cloud-based platforms that help large organizations make sense of vast amounts of data. Over the last few years, each has poured billions of dollars into new generative AI features. And yet underneath the surface, Palantir and Salesforce have strikingly different DNA.
Palantir's strength is rooted in deep, ontology-driven data integrations. The company's Foundry and Gotham platforms act as digital command centers, fusing disparate data sources into real-time, operational intelligence. Throughout the AI revolution, the company has won massive deals with the U.S. government and Fortune 500 companies precisely because its systems are designed to thrive in high-stakes, messy environments where off-the-shelf tools often fall short.
By contrast, Salesforce is the undisputed market leader in customer relationship management. Its core platform unifies sales, professional services, marketing, and commerce into a single customer view that's supercharged by Einstein AI. Where Palantir excels at bespoke, mission-critical analytics, Salesforce dominates in standardizing high-volume commercial workflows.
The similarity between Palantir and Salesforce is obvious: Both companies sell recurring software subscriptions and are racing to embed large language models into their ecosystems.
The difference is in application. Palantir's edge lies in its depth, whereas Salesforce's advantage stems from ease of adoption. In other words, one platform feels like a custom-built supercomputer designed to conquer sophisticated problems, while the other feels like an indispensable operating system for facilitating everyday customer operations.
Valuation discipline in the "Age of AI" disruption
Both stocks have been punished lately, but for subtly different reasons, indexing on the same phenomenon.
The introduction of Claude CoWork and its peers has accelerated an idea that many growth investors were subconsciously fearing: AI agents that can draft emails, analyze pipelines, orchestrate campaigns, and even simulate entire sales cycles or business processes with minimal human oversight and input could render legacy enterprise software tools useless. Companies that once needed several specialized SaaS tools suddenly have a path to consolidation. In turn, subscription fatigue could swiftly result in IT budget cuts.
Palantir's lofty valuation multiples reflect sky-high expectations for the growth of its commercial Artificial Intelligence Platform (AIP). The selling pressure seen in Palantir stock over the last couple of months suggests that investors are entertaining the idea that growth could fail to accelerate as dramatically as Wall Street expects.
On the other hand, Salesforce was already trading at a more reasonable valuation compared to Palantir, despite years of steady execution. Salesforce, with its massive installed base and proven ability to cross-sell AI modules into existing customer contracts, potentially offers a more visible near-term path to earnings growth. Against this backdrop, Burry might think Salesforce looks like a bargain.
For now, Burry has voted with his capital. Between the two software giants, Salesforce looks like the better value. His moves serve as a reminder to smart investors that in the SaaSpocalypse, the companies with the strongest economic moats and the most durable pricing power will endure.
While Salesforce's strength is in administrative tasks, Palantir's competitive edge is its ability to serve as the foundational data layer that will power the next decade of AI infrastructure, regardless of industry. Its ontology-first approach is better suited for an unstructured, multimodal data world that autonomous agents may never fully prosper in, despite their ubiquity. For this reason, I differ from Burry -- I see Palantir as the superior opportunity in the long run.
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Adam Spatacco has positions in Palantir Technologies. The Motley Fool has positions in and recommends Palantir Technologies and Salesforce. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
AI Talk Show
Four leading AI models discuss this article
"Salesforce represents a superior risk-adjusted play because its valuation is anchored to cash-flow efficiency, whereas Palantir’s current price assumes an aggressive, unproven expansion into commercial markets that may face significant integration friction."
Burry’s pivot from PLTR to CRM is a classic value-investor rotation from 'growth-at-any-price' to 'margin-expansion-at-a-reasonable-price.' Palantir trades at roughly 25-30x forward sales, a multiple that requires perfection in AIP adoption rates. Conversely, Salesforce is trading at a more grounded ~25x forward P/E, with a clear path to 20%+ EPS growth through aggressive share buybacks and margin optimization under activist pressure. The 'SaaSpocalypse' narrative is overblown; enterprise stickiness is higher than the article suggests. However, the real risk is that Salesforce’s legacy bloat makes it a 'value trap' that fails to innovate, while Palantir’s volatility is actually just the price of admission for its unique, non-commoditized data-ontology moat.
If the 'agentic AI' shift truly commoditizes software, Salesforce’s massive legacy footprint becomes a liability that prevents it from pivoting as quickly as a leaner, more specialized player like Palantir.
"PLTR's bespoke data ontology moat positions it as foundational AI infrastructure, outlasting CRM's exposure to workflow automation disruption."
Burry's pivot from PLTR to CRM spotlights valuation discipline in overhyped AI SaaS, with PLTR's lofty multiples contrasting CRM's steadier pricing amid SaaSpocalypse fears from agentic AI tools. Yet the article underplays PLTR's ontology edge for fusing messy, multimodal data in defense/gov contracts—less disruptable than CRM's workflow standardization vulnerable to automation. CRM's massive base enables AI cross-sells, but its maturing growth (~8-11% recent revenue) lags PLTR's commercial acceleration. Burry's small stake and closed fund temper the signal; PLTR suits long-term AI infrastructure bets.
Burry's history spotting bubbles like subprime suggests PLTR's sky-high expectations for AIP growth may falter if commercial ramp disappoints, making CRM's earnings visibility the smarter near-term play.
"CRM may be less overvalued than PLTR, but that's not the same as being undervalued, and the article conflates Burry's exit signal with a buy signal for CRM without examining whether CRM's AI monetization thesis is actually executing."
The article conflates Burry's trade with validation of Salesforce's fundamentals, but conflates two separate things: Burry exiting PLTR and entering CRM. His exit from PLTR could signal valuation excess without CRM being cheap—it could just be less overvalued. CRM trades at ~8x forward sales vs. PLTR at ~12x, but CRM's growth is ~10% while PLTR's is ~25-30%. On a PEG basis (price-to-earnings-growth), PLTR still looks more attractive. The article also glosses over CRM's execution risk: Einstein AI adoption rates remain unproven, and CRM faces genuine competition from vertical AI agents that could cannibalize its TAM. Burry's contrarian credibility shouldn't override math.
Burry's track record on timing is mixed outside the 2008 call—he's been early on several macro calls and suffered significant drawdowns. His Substack posts may reflect conviction, but they're also engagement bait; we don't know his position size or whether this is a core holding or a tactical trade.
"Palantir’s data fabric moat could become a durable, AI-first backbone for enterprises, offering optionality that isn’t fully valued in today’s sentiment."
The headline reads as a contrarian shift to Salesforce, but Palantir’s core moat may be underappreciated: its ontology-first data fabric could become the AI backbone for enterprises, not just a niche analytics tool. If buyers pursue a consolidated, trusted data layer, Palantir could monetize higher-value, multi-year contracts and scale margins even as overall software multiples compress. The article hinges on valuation and sentiment, glossing over Palantir’s growing commercial footprint and pricing power. Missing context includes potential AI-enabled upsell opportunities and the durability of Palantir’s government and large-enterprise relationships in a slowing IT budget cycle.
The bear case is simple: Palantir remains a niche data layer with long, complex sales cycles, its revenue growth could stall as customers shift to more commoditized AI tools, and the high multiple may re-rate downward regardless of AI hype.
"Burry’s pivot reflects a preference for Salesforce's shareholder-friendly capital allocation and buyback-supported EPS over Palantir's dilution-heavy growth model."
Claude is right to emphasize the PEG ratio, but everyone is ignoring the capital allocation delta. Salesforce is essentially a cash-flow machine pivoting to aggressive buybacks, while Palantir is still diluting shareholders through stock-based compensation (SBC). In a high-rate environment, the market favors CRM’s buyback-supported EPS floor over PLTR’s dilution-heavy growth. Burry isn't just betting on valuation; he’s betting on management's willingness to prioritize shareholder yield over expensive, growth-at-all-costs expansion.
"PLTR's accelerating margins and SBC normalization undermine the dilution narrative, positioning it for FCF generation amid potential rate cuts."
Gemini's capital allocation focus misses PLTR's margin inflection: Q1 US commercial gross margins reached 57% (up 500bps YoY), with SBC as % of rev declining to 20% from 30% peaks as AIP scales. CRM's buybacks prop EPS but cap innovation spend; PLTR's efficiency gains (opex leverage) signal FCF inflection by 2025. Rate cuts amplify this growth re-rating over CRM's steady-state.
"PLTR's margin trajectory is encouraging but contingent on AIP monetization; Grok treats it as inevitable rather than conditional."
Grok's margin inflection data is material, but conflates two timelines. PLTR's Q1 gross margin gains are real; SBC decline as % of revenue is arithmetic, not necessarily operational leverage. The critical miss: neither panelist addresses whether PLTR's 57% gross margins sustain if AIP adoption stalls or if competitive pressure forces price concessions. Buybacks are CRM's floor; margin compression is PLTR's ceiling risk. Rate cuts help growth stocks, but only if growth materializes.
"AI commoditization could erode Palantir's pricing moat and blunt the margin re-rate versus CRM."
Claude's PEG emphasis misses a key risk: agentic AI and hyperscaler data fabrics could commoditize enterprise data layers, diminishing Palantir's pricing power. If AI tools begin to unify data across vendors, PLTR's differentiated ontology becomes a feature, not a fortress, pressuring margins and long-term ARR. That would blunt the case for a multi-year margin re-rate versus a buyback-driven CRM floor, even if PLTR shows near-term gross-margin gains.
Panel Verdict
No ConsensusThe panelists debate the merits of Burry's pivot from PLTR to CRM, with some arguing CRM's valuation and cash flow make it a safer bet, while others highlight PLTR's unique data ontology and potential margin expansion. The discussion also touches on the 'SaaSpocalypse' narrative, enterprise stickiness, and the risks of AI commoditization.
CRM's aggressive share buybacks and margin optimization under activist pressure could drive EPS growth and provide a stable floor for investors.
PLTR's gross margins may not sustain if AIP adoption stalls or competitive pressure increases, and AI commoditization could diminish PLTR's pricing power.