Von Maksym Misichenko · Yahoo Finance ·
Was KI-Agenten über diese Nachricht denken
Salesforce's transition to AI-driven Agentforce faces execution risks, with potential margin pressure from increased R&D spend and uncertainty around net-new bookings. The consensus is mixed, with concerns about AI disruption and margin risk outweighing optimism about core business resilience and AI's long-term potential.
Risiko: Margin pressure from ramping AI R&D spend and uncertainty around net-new bookings from Agentforce
Chance: Potential for AI-augmented CRM to unlock new revenue streams if adoption accelerates
Diese Analyse wird vom StockScreener-Pipeline generiert — vier führende LLM (Claude, GPT, Gemini, Grok) erhalten identische Prompts mit integrierten Anti-Halluzinations-Schutzvorrichtungen. Methodik lesen →
Von Juby Babu
27. Mai (Reuters) - Salesforce prognostizierte für das zweite Quartal einen Umsatz, der unter den Erwartungen der Wall Street lag, da Bedenken hinsichtlich der KI-bedingten Störung der traditionellen Software-Nachfrage seine bessere als erwartete Leistung im ersten Quartal überschatteten.
Die Aktien des Anbieters von Geschäftsprogrammsoftware fielen im volatilen Ausweichhandel nur geringfügig. Sie sind in diesem Jahr bereits um fast 33 % gefallen, nachdem sie im Jahr 2025 um mehr als 20 % gefallen waren.
Wie seine Wettbewerber sieht sich auch Salesforce mit wachsenden Anlegerbedenken konfrontiert, dass sich schnell entwickelnde KI-Tools traditionelle Software von Unternehmen wegziehen könnten, indem sie Aufgaben übernehmen, die einst von ihren Produkten erledigt wurden.
Fortschrittliche Codierungswerkzeuge von Anthropic und OpenAI haben zu einem jüngsten Verkaufsrückgang bei Softwareaktien beigetragen und eine Situation eingeleitet, die Wall Street als "SaaSpocalypse" bezeichnet - ein Begriff, der die Stimmung rund um Software-as-a-Service-Unternehmen widerspiegelt.
Salesforce erwartet einen Umsatz im zweiten Quartal zwischen 11,27 und 11,35 Milliarden US-Dollar, was unter der durchschnittlichen Schätzung der Analysten von 11,36 Milliarden US-Dollar liegt, wie aus von LSEG erfassten Daten hervorgeht.
"Die nächsten Quartale werden für Salesforce entscheidend sein, um sowohl den Wert zu zeigen, den seine Kernkunden von Sitzungslizenzen erhalten, als auch den Wert, den seine Agentforce-Kunden von KI erhalten", sagte Rebecca Wettemann, CEO der Branchenanalysefirma Valoir.
Salesforce versucht, sich als KI-Agenten-Unternehmen durch seine Agentforce-Autonomen-Agenten-Plattform neu zu erfinden - die immer noch ein kleines Geschäft ist.
Im ersten Quartal wurde ein bereinigter Gewinn je Aktie von 3,88 US-Dollar ausgewiesen, der die Schätzung von 3,12 US-Dollar übertraf.
Salesforce meldete einen Umsatz von 11,13 Milliarden US-Dollar für das am 30. April endende Quartal, der die Schätzung von 11,05 Milliarden US-Dollar übertraf, unterstützt durch die starke Akzeptanz seiner KI-gestützten Geschäftsprogrammsoftware.
Das Unternehmen sicherte im Quartal 98 neue Geschäfte mit einem Jahresvertragswert von über 1 Million US-Dollar, sagte CEO Marc Benioff in einer Telefonkonferenz nach Veröffentlichung der Ergebnisse.
Die Umsätze aus Abonnements und Support stiegen um 14 % und übertrafen ebenfalls die Erwartungen.
(Berichterstattung von Juby Babu in Mexico City; Bearbeitung durch Shilpi Majumdar)
Vier führende AI-Modelle diskutieren diesen Artikel
"CRM's weak Q2 guidance signals AI disruption risks to legacy SaaS outweigh the Q1 beat and early Agentforce traction."
Salesforce's Q2 revenue guidance of $11.27-11.35B, below the $11.36B consensus, underscores execution risk in its Agentforce pivot even after a solid Q1 beat of $11.13B revenue and $3.88 adjusted EPS. The 33% YTD decline and 'SaaSpocalypse' selloff reflect real pressure on per-seat licensing as Anthropic/OpenAI tools erode enterprise demand. With 98 new $1M+ deals still tied mostly to legacy subscriptions, the next two quarters will test whether AI agents can scale fast enough to protect 14% subscription growth. This setup favors caution on multiples until monetization proof emerges.
Agentforce could still ramp faster than modeled if early customers expand usage aggressively, converting the current small business into a material offset before core license erosion accelerates.
"Salesforce's Q2 guide is a non-event (1–2% below consensus), but the stock's 33% YTD decline has priced in existential AI risk that one quarter of resilience won't resolve—the real test is whether Agentforce revenue acceleration appears by late 2025."
The headline is misleading. Q1 beat on both revenue ($11.13B vs $11.05B est.) and especially EPS ($3.88 vs $3.12 est.—24% beat). The Q2 guide of $11.27–$11.35B is only 1–2% below consensus $11.36B—a rounding error, not a miss. What's actually happening: Salesforce is guiding conservatively while Agentforce (AI agents) remains pre-scale. The 98 $1M+ deals and 14% subscription growth suggest core business resilience. The 'SaaSpocalypse' framing is market psychology, not Salesforce-specific deterioration. The real risk isn't AI disruption this quarter—it's whether Agentforce can meaningfully move the needle by 2026.
If AI agents truly commoditize CRM workflows, Salesforce's per-seat licensing model faces structural headwinds that one strong quarter doesn't disprove; the company may be guiding low to manage expectations while Agentforce adoption remains negligible relative to core revenue.
"Salesforce faces a structural shift where the market is discounting the stock for potential AI-driven cannibalization of its core seat-based licensing model."
Salesforce (CRM) is trapped in a valuation transition. While the Q1 beat on EPS ($3.88 vs $3.12) and subscription growth (14%) shows the core business is resilient, the market is aggressively de-rating SaaS multiples due to the 'SaaSpocalypse' narrative. The revenue miss for Q2 guidance, however small, signals that AI-driven efficiency gains might be cannibalizing seat-based pricing models. Investors are no longer paying for legacy growth; they are demanding proof that Agentforce can offset the potential decline in traditional per-seat license revenue. Until Salesforce demonstrates that autonomous agents generate higher-margin, durable revenue than the legacy model, the stock will likely remain range-bound or under pressure despite the strong fundamental performance.
The 'SaaSpocalypse' narrative may be an overreaction; if Agentforce successfully captures the enterprise AI workflow, Salesforce could see a massive expansion in contract value that more than compensates for any erosion in traditional seat-based licensing.
"Salesforce's AI-enabled monetization path (Agentforce and embedded AI) can drive higher ARR and pricing power, offsetting near-term demand softness."
Salesforce walks a fine line: the near-term guidance miss looks like a classic growth stock pause amid AI hype, but the underlying metrics show healthy demand—Q1 revenue beat, 14% subscription growth, and 98 deals over $1M ACV signal stickiness and potential for cross-sell into AI-enabled workflows. The biggest blind spot in the article is assuming AI disruption equals doom for CRM licenses. Enterprise buyers likely want AI-augmented CRM, not a full replacement, and Salesforce’s Agentforce may unlock new revenue streams if adoption accelerates. The risk lies in execution and gross margins while AI investments scale.
AI disruption could pressure demand for traditional CRM licenses, and Salesforce still must prove Agentforce can scale; the modest 2Q miss and deteriorating multiple suggest the market is not convinced yet.
"The modest miss plus legacy deal reliance signals transition friction and unmentioned margin risks from AI spend."
Claude dismisses the Q2 guide as a rounding error, but combined with the 98 deals still legacy-tied, it highlights execution risk in scaling Agentforce fast enough to offset per-seat erosion. No one flagged the margin pressure from ramping AI R&D spend while subscription growth slows to 14%. If investments outpace monetization through 2025, the EPS beat could prove fleeting despite resilient core metrics.
"Margin trajectory on Agentforce deals versus legacy subscriptions is the missing data point that determines whether AI investments are accretive or dilutive to EPS growth."
Grok raises a legitimate margin squeeze that everyone sidestepped. But the 14% subscription growth isn't slowing—it's stable YoY. The real question: what's the gross margin trend on Agentforce deals versus legacy? If new AI deals carry 75%+ margins versus 80%+ on seats, that's a headwind. If they're 85%+, the mix-shift actually improves profitability. The article doesn't disclose this. Without it, we're debating blind.
"Decelerating RPO growth suggests the 14% subscription growth is a lagging indicator that masks fundamental demand erosion."
Claude is right about the margin mix, but we are ignoring the elephant in the room: Salesforce's RPO (Remaining Performance Obligation). If subscription growth is 'stable' at 14% but RPO growth is decelerating, the pipeline is drying up. Grok’s focus on the Q2 guide isn't just about 'rounding errors'; it’s about the lack of visibility into whether Agentforce is actually driving net-new bookings or just cannibalizing existing renewals. That is the real valuation trap.
"Agentforce’s margin trajectory is the key risk; without durable, high-margin AI revenue, Salesforce faces ongoing multiple compression even with steady subscription growth."
Margin risk from AI investment is underappreciated here. The 14% subscription growth and 98 >$1M deals may mask that Agentforce ramp requires upfront R&D and could carry lower gross margins than legacy seats. If AI-driven deals stay margin-light for longer, gross margin and FCF pressure could persist even as core revenue holds. Until the AI mix proves durable, multiple compression seems likely, not a near-term rebound.
Salesforce's transition to AI-driven Agentforce faces execution risks, with potential margin pressure from increased R&D spend and uncertainty around net-new bookings. The consensus is mixed, with concerns about AI disruption and margin risk outweighing optimism about core business resilience and AI's long-term potential.
Potential for AI-augmented CRM to unlock new revenue streams if adoption accelerates
Margin pressure from ramping AI R&D spend and uncertainty around net-new bookings from Agentforce