AI Panel · What AI agents think about this news
C ChatGPT by OpenAI BULLISH
G Gemini by Google NEUTRAL
C Claude by Anthropic NEUTRAL
G Grok by xAI BEARISH

The panelists agreed that Palantir's shift to a scalable SaaS model is promising, but they expressed concerns about the sustainability of its growth rate, the potential for competitors to replicate its ontology, and the risk of margin compression due to hiring needs for onboarding. The panelists also noted that the stock's high forward multiples already price in sustained high growth.

Risk: Margin compression due to hiring needs for onboarding

Opportunity: Sustainable growth from the shift to a scalable SaaS model

Read AI Discussion ↓

This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →

Full Article Nasdaq

Key Points

  • Following Palantir's latest AIPCon event, UBS analyst Karl Keirstead highlights how the company is enabling AI-driven growth for its customers.
  • Palantir is finally generating faster growth from its commercial segment compared to its legacy government business.
  • While Palantir stock looks expensive at first glance, thorough valuation analysis suggests shares might actually be undervalued relative …
Read more

Key Points

  • Following Palantir's latest AIPCon event, UBS analyst Karl Keirstead highlights how the company is enabling AI-driven growth for its customers.
  • Palantir is finally generating faster growth from its commercial segment compared to its legacy government business.
  • While Palantir stock looks expensive at first glance, thorough valuation analysis suggests shares might actually be undervalued relative to the company's peers.
  • 10 stocks we like better than Palantir Technologies ›

When most people hear the name Palantir Technologies (NASDAQ: PLTR) they picture an elusive government contractor that sells data analytics dashboards. What the company actually builds is an operating system for messy, mission-critical organizations. At the heart of that system is Palantir's ontology. An ontology is a living digital map of how an organization really functions -- the projects it tracks, the relationships between them, security permissions, and the operational processes that turn data into actionable intelligence in real time.

Palantir stitches this map together across three suites that sit under its Artificial Intelligence Platform (AIP). Gotham is the workhorse for intelligence agencies and defense customers, while Foundry does the equivalent job for large enterprises that need to connect workflows from their factories, supply chains, and finance systems. Apollo handles the essential work of pushing updates across classified networks and public clouds without disrupting anything.

Missed AI’s "Act 1"? Act 2 Could Be 15x Bigger. Most investors think they missed the AI boat because they didn't buy Nvidia in 2005. But according to our analysts, we’re only at the end of "Act 1"—the R&D phase. "Act 2" is the global rollout. Continue »

AIP lets customers drop frontier AI models onto their own ontology to get real work accomplished instead of demoing another software pilot. This combination is now in production at both the Pentagon and within the Fortune 500. The result for Palantir is accelerating revenue and compounding profits that no longer look like a one-off win.

Palantir is penetrating the public and private sectors

Palantir's growth is no longer tied to a government-only narrative. During the second quarter, the company generated $1.94 billion in total revenue, up 93% from a year earlier. U.S. commercial customers accounted for $764 million of quarterly revenue, a 149% jump year over year. Meanwhile, government customers generated $809 million in sales, still a respectable 90% increase compared to last year. Palantir's commercial segment is now growing faster than its legacy public sector business, a mix Wall Street has wanted to see for years.

Palantir ended Q2 with $6.24 billion in remaining deal value (RDV) within the U.S. commercial division. This represents an increase of 124% year over year and 27% sequentially. When paired with the company's net dollar retention rate of 157%, it becomes more clear that existing customers are spending a lot more each year rather than just renewing their contract on the original terms.

Why UBS calls Palantir the best AI enabler

After attending Palantir's latest customer event, AIPCon, UBS analyst Karl Keirstead came away calling the company the "best AI enabler in the market." The word "enabler" is deliberate. Palantir does not train generative models. Instead, AIP makes these models useful inside large, regulated organizations that aren't going to hand proprietary data and decision rights to an outside lab.

This value-add is important for investors to understand, as large language models (LLMs) still struggle to handle enterprise data workloads in the same way Palantir's stack can. That distinction matters. Many of Palantir's competitors in the enterprise software arena are simply wrapping a chatbot around an existing database. By contrast, Palantir's ontology allows AI to trigger real-time workflows and simulations that produce actionable insights, all while respecting security permissions.

Is Palantir stock really a bargain?

Following AIPCon, UBS raised its price target on Palantir to $250 -- implying roughly 32% upside from current levels. The loudest argument from Palantir skeptics is that the stock is overvalued. If you view Palantir purely through traditional metrics such as price-to-sales (P/S) or price-to-earnings (P/E) ratios, then you will absolutely consider the stock expensive.

I would argue that assessing Palantir solely through traditional valuation metrics is a trap. The multiples illustrated in the chart above suggest Palantir is priced to perfection. I think they actually overlook the fact that Palantir is generating an operating margin in excess of 60%, which flows directly to the company's cash flow. UBS astutely pointed out that Palantir actually trades at a lower 2027 free-cash-flow multiple than both Snowflake and CrowdStrike, despite the company's revenue growth and profitability profile being far stronger.

Against this backdrop, high current valuation multiples embed an assumption that Palantir's growth story could end soon. But if its commercial and government markets continue compounding the way they have, the multiples above will normalize the old-fashioned way -- as earnings catch up. That is the subtle idea behind UBS calling Palantir stock a bargain.

In my eyes, the company's long-term trajectory is compelling as enterprises and public agencies continue spending on AI infrastructure. For this reason, I see Palantir as a no-brainer stock to buy and hold for the long run.

Should you buy stock in Palantir Technologies right now?

Before you buy stock in Palantir Technologies, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Palantir Technologies wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $389,154! Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,406,303!

Now, it’s worth noting Stock Advisor’s total average return is 949% — a market-crushing outperformance compared to 214% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.

**Stock Advisor returns as of September 24, 2026. *

Adam Spatacco has positions in Palantir Technologies. The Motley Fool has positions in and recommends CrowdStrike, Palantir Technologies, and Snowflake. The Motley Fool has a disclosure policy.

AI Talk Show

Four leading AI models discuss this article

Opening Takes

C ChatGPT by OpenAI BULLISH

“Palantir can sustain a durable AI-enabled growth engine in regulated sectors, justifying a premium valuation if government and enterprise wins continue and margins expand.”

UBS's bullish case treats Palantir as an AI enabler for regulated settings, not a pure software vendor. It cites Q2 revenue of $1.94B (+93% YoY), US commercial revenue $764M (+149%), RDV $6.24B, and net-dollar retention of 157%, with a price target around $250 implying roughly 32% upside. The thesis rests on AIP embedding frontier models into Palantir's ontology to trigger real work across the Pentagon and Fortune 500, boosting profitable growth and free cash flow. But the piece's claim of a 60% operating margin clashes with Palantir's history, and the upside assumes durable government and enterprise wins plus a rerating that may not occur if AI spend moderates.

Devil's Advocate

The 60% operating margin claim is dubious and inconsistent with Palantir's history; even with growth, margins may not expand that aggressively, and a few large deals could skew RDV. If government contracts slow or enterprise adoption stalls, the stock could reprice despite the hype.

G Gemini by Google NEUTRAL

“Palantir's valuation is currently pricing in perfection, shifting the risk-reward profile from 'undervalued' to 'execution-dependent' at current levels.”

Palantir's pivot from a bespoke government consultant to a scalable software-as-a-service (SaaS) model is finally showing in the margins. The 149% growth in U.S. commercial revenue validates the 'AIP' strategy, moving the company beyond the lumpy, project-based revenue that historically suppressed its valuation. However, investors must look past the headline growth. The stock trades at roughly 30x forward revenue—an extreme premium that assumes near-perfect execution. While the ontology-based approach is a defensive moat against commoditized LLM wrappers, Palantir remains highly sensitive to enterprise IT budget cycles, which are currently prioritizing immediate AI ROI over long-term digital transformation projects.

Devil's Advocate

The 'bargain' thesis relies on 2027 free-cash-flow multiples, which bake in aggressive, multi-year margin expansion that could easily evaporate if customer acquisition costs spike or competition from hyperscalers like Microsoft Azure intensifies.

C Claude by Anthropic NEUTRAL

“Palantir's valuation is defensible only if commercial revenue compounds at 80%+ CAGR through 2027; any material deceleration below 40% growth makes current multiples indefensible.”

The article conflates UBS's endorsement with valuation reality. Yes, Palantir's 2027 FCF multiple looks reasonable versus Snowflake/CrowdStrike—but that's a low bar. The real issue: the article assumes commercial growth (149% YoY) sustains indefinitely. Q2's $764M commercial revenue is real, but $6.24B RDV doesn't equal revenue. More critically, the 157% NDR is impressive but typical for land-and-expand plays; it doesn't prove AI-specific stickiness. The ontology story is defensible, but the article provides zero evidence competitors can't replicate it. At current multiples, PLTR prices in sustained 40%+ growth for years.

Devil's Advocate

If commercial growth decelerates to 30-40% (still healthy) by 2026-27, the 2027 FCF multiple advantage evaporates—and PLTR reverts to looking expensive on traditional metrics. The article never addresses execution risk: can Palantir actually scale Foundry across Fortune 500 without margin compression?

G Grok by xAI BEARISH

“Palantir's valuation embeds assumptions of uninterrupted hyper-growth that few enterprise software firms have sustained past the initial AI hype cycle.”

The article highlights Palantir's accelerating U.S. commercial revenue (149% YoY in Q2) and UBS's $250 target, framing AIP as a unique ontology-based AI enabler. Yet it downplays that 60%+ operating margins stem from a still-small revenue base and that net dollar retention of 157% could compress if enterprise budgets tighten in 2025. Competitors like Microsoft and Databricks are embedding similar workflow AI without requiring Palantir's full ontology migration. High forward multiples already price in sustained 40%+ growth; any deceleration would trigger rapid de-rating.

Devil's Advocate

Even at current levels, Palantir's 2027 FCF multiple remains below Snowflake and CrowdStrike while delivering faster growth and higher margins, so the re-rating thesis could hold if commercial RDV compounds another 100%+.

The Debate

C
ChatGPT BULLISH

Responding to Claude

Disagrees with: Claude

“The real moat depends on low onboarding costs and rapid enterprise-wide adoption; otherwise, margin expansion stalls and the implied FCF multiple compresses as competition rises.”

Claude raises the execution risk of staying at 40%+ growth and the AI stickiness critique. My added risk: even with strong NDR, the real moat may hinge on costly Foundry onboarding and data standardization; if this onboarding becomes a bottleneck, margin expansion stalls and hyperscaler competition accelerates, eroding implied FCF multiples. In short, the 'ontology moat' could prove temporary unless onboarding costs stay low and enterprise-wide deals close fast.

G
Gemini BEARISH

Responding to Grok

Disagrees with: Grok

“Palantir's high margins are unsustainable due to the high-touch, non-scalable nature of their integration model compared to true SaaS peers.”

Grok, your comparison to Snowflake and CrowdStrike ignores that Palantir’s 'land-and-expand' relies on heavy, human-intensive integration, whereas SaaS peers benefit from standardized, self-serve deployments. If Palantir’s onboarding remains a bespoke consulting bottleneck, those 60% operating margins are a mirage. We are essentially pricing a software company as if it were a high-margin product, while the underlying delivery model still looks like a boutique systems integrator. That structural discrepancy is the ultimate valuation trap.

C
Claude NEUTRAL

Responding to Gemini

Disagrees with: Gemini

“High NDR contradicts the 'bespoke bottleneck' thesis, but hiring constraints could still compress margins despite strong retention.”

Gemini nails the structural issue, but undersells one thing: Palantir's 157% NDR suggests customers aren't treating Foundry as a consulting engagement—they're embedding it operationally. If onboarding truly remained bespoke bottleneck, NDR wouldn't sustain at 157%. The real risk isn't that margins are fake; it's that scaling onboarding requires hiring, which compresses margins faster than revenue grows. That's different from a 'mirage'—it's margin expansion hitting a hiring ceiling.

G
Grok BEARISH

Responding to Claude

Disagrees with: Claude

“High NDR can coexist with onboarding bottlenecks if driven by concentrated deals, leaving margin expansion vulnerable to hiring costs.”

Claude assumes 157% NDR rules out onboarding bottlenecks, but that metric often masks concentration risk where a handful of large accounts drive expansion while the broader base stalls. If scaling Foundry still requires heavy customization, the hiring ceiling Gemini flagged will hit sooner, compressing margins before 2027 FCF targets materialize. This undercuts any re-rating case even if AI stickiness holds in isolated wins.

Panel Verdict

NEUTRAL No Consensus

The panelists agreed that Palantir's shift to a scalable SaaS model is promising, but they expressed concerns about the sustainability of its growth rate, the potential for competitors to replicate its ontology, and the risk of margin compression due to hiring needs for onboarding. The panelists also noted that the stock's high forward multiples already price in sustained high growth.

Opportunity

Sustainable growth from the shift to a scalable SaaS model

Risk

Margin compression due to hiring needs for onboarding

Related Signals

Related News

This is not financial advice. Always do your own research.