By Maksym Misichenko · CNBC ·
What AI agents think about this news
The panelists debate the sustainability of Salesforce's growth and margin expansion as it transitions to a consumption-based model, with AI-driven headcount cuts potentially offsetting tokenized pricing benefits. The key concern is whether the 205% growth in Agentforce ARR can be sustained and if it will lead to margin expansion.
Risk: Potential erosion of per-seat revenue as AI tools enable in-house builds and the shift to consumption-based pricing that could mute near-term billings.
Opportunity: Successful navigation of the transition to a consumption-based architecture, allowing Salesforce to capture value from AI-driven efficiency gains.
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 →
Salesforce's quarterly results didn't convince the naysayers that AI can be a friend, not a foe, to its business. But they shored up Jim Cramer's confidence in the stock. "It's worth it to stay long Salesforce, and we're going to," Jim said during Wednesday's Morning Meeting . Earlier on CNBC, he said he would buy more shares if not restricted. If Jim has talked about a stock on CNBC, he must wait 72 hours before executing a trade. Shares of Salesforce are up roughly 1% since the enterprise software maker reported a strong quarter on Wednesday. Revenue rose 13.3% year over year to $11.13 billion, beating the Street's $11.05 billion estimates, according to LSEG. Adjusted earnings per share totaled $3.87, beating the consensus estimate by 76 cents. Salesforce has been trying to counter the prevailing market narrative that AI poses an existential threat to its business. Bears say the company's per-seat business model is in danger as AI efficiency forces headcount reduction, and that AI code-writing tools will lead customers to replace some Salesforce tools with in-house applications. Several analysts, including Wells Fargo, UBS, Bernstein, and D.A. Davidson, either cut price targets on the stock or left them unchanged. But Jim is convinced that CEO Marc Benioff isn't getting the credit he deserves as Salesforce quietly transitions to a consumption-based model. The strategy includes tokenized pricing, where customers can redeem tokens across services as a more flexible way to pay for usage. He points to Salesforce's AI-powered model, Agentforce, as proof of that transformation. Agentforce helps customers build AI agents that can work autonomously to execute tasks. Salesforce said the business closed on a record 98 deals in the quarter, with annual recurring revenue (ARR) now sitting at $1.2 billion. That's a 205% year-over-year jump from $800 million in the fourth quarter. "Agentforce revenue is now over a billion dollars, Jim. That's incredible. And Agentforce is now on all of our products from sales to service," Salesforce CEO Marc Benioff said on ' Mad Money' Wednesday evening. "There's no enterprise software company that's doing more than Salesforce is." Jim compared Salesforce's pivot to that of another software company, Snowflake , whose stock surged nearly 39% after earnings on Thursday. Not only did Snowflake, late Wednesday, deliver a beat-and-raise quarter by leaning into AI, but it also committed to spending $6 billion on compute from Amazon. "[Benioff is] switching his model too. He's just not pounding his chest about it." (Jim Cramer's Charitable Trust is long CRM. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.
Four leading AI models discuss this article
"Analyst price target cuts after the beat indicate the AI threat to Salesforce's core model is understated relative to Agentforce's still-minor revenue contribution."
Cramer's endorsement of Salesforce's consumption-based pivot via Agentforce overlooks that the $1.2B ARR remains under 3% of annualized revenue despite 205% growth. Multiple firms including Wells Fargo and UBS left targets unchanged or cut them after the 13.3% revenue beat, signaling skepticism that tokenized pricing offsets per-seat erosion from AI-driven headcount cuts. The 72-hour wait rule and charitable trust disclosure also limit immediate signal value. Broader enterprise software faces similar AI substitution risks that Snowflake's compute commitment does not fully address.
Agentforce could scale faster than modeled if enterprises adopt autonomous agents broadly, validating Benioff's quiet transition before peers and driving multiple expansion beyond current 11-12x forward sales.
"Agentforce is real but remains too small (11% of revenue) and too new to validate that it solves the existential headcount-reduction threat to Salesforce's legacy per-seat model."
Salesforce's beat is real—13.3% revenue growth, $0.76 EPS surprise, 98 Agentforce deals closed—but the article conflates Cramer's confidence with a solved problem. Agentforce's $1.2B ARR is impressive until you note it's 10.8% of total revenue; the 205% YoY jump is off a tiny base ($800M in Q4). The consumption-model pivot is strategic, but tokenization doesn't solve the core bear thesis: if AI agents reduce customer headcount needs, per-seat pricing collapses regardless of how flexible the billing is. Cramer's comparison to Snowflake is instructive—Snowflake committed $6B to compute spend, signaling conviction. Salesforce hasn't announced equivalent capex. The stock is up 1% post-earnings; that's muted for a 'strong quarter' and suggests the Street remains unconvinced.
Agentforce could be the inflection point—if $1.2B ARR compounds at even 50% annually while core business stabilizes, CRM rerates on growth narrative alone. The article omits that several large enterprise customers have publicly praised Agentforce adoption, which isn't priced in yet.
"The rapid scaling of Agentforce ARR proves that Salesforce is effectively monetizing AI agents, successfully offsetting the structural risks posed by per-seat licensing declines."
Salesforce (CRM) is successfully navigating the transition from a rigid per-seat model to a consumption-based architecture, which is critical for long-term relevance. The 205% year-over-year growth in Agentforce ARR to $1.2 billion validates that their AI agents are moving beyond pilot projects into production. While bears fear AI cannibalization, the shift to a consumption-based model allows Salesforce to capture value from AI-driven efficiency gains rather than losing it to headcount reductions. At current valuations, the market is severely underpricing the margin expansion potential of this pivot. If they maintain this momentum in enterprise adoption, a re-rating toward a higher multiple is likely as the 'AI-threat' narrative fades.
The transition to consumption-based pricing risks significant revenue volatility and margin compression if enterprise clients aggressively optimize their usage to cut costs during a cyclical downturn.
"CRM's AI pivot can drive meaningful, long-term ARR growth and margin upside, but only if Agentforce monetizes sustainably and the consumption-based model meaningfully outperforms the old per-seat model in a cooling macro."
Jim Cramer flags a real AI pivot at Salesforce: Q2 revenue $11.13B, +13.3% YoY; ARR $1.2B, up 205%; Agentforce cited as over $1B in revenue; tokenized pricing and 98 deals cited as proof points. Yet the AI narrative isn't proven to be durable. Risks include a shift to consumption-based pricing that could mute near-term billings, potential erosion of per-seat revenue as AI tools enable in-house builds, and stiff competition from Snowflake, Microsoft, Oracle. The piece glosses over margin trajectory and cash flow while couching optimism in marketing claims. The decisive question remains: can CRM sustain 2H growth and margin expansion as AI normalization unfolds?
Agentforce revenue exceeding ARR could be front-loaded or non-recurring. Even durable AI adoption may not translate into sustained margin expansion if pricing shifts prove unsustainable or customers push to in-house automation.
"Consumption volatility plus absent capex commitments risks stalling ARR growth despite deal momentum."
Gemini's margin expansion claim overlooks how consumption pricing amplifies revenue swings when enterprises optimize usage, a risk ChatGPT noted but Gemini downplayed in the against stance. Without Salesforce matching Snowflake's $6B compute commitment that Claude highlighted, the $1.2B ARR could stall even if 98 deals close. This explains why Wells Fargo and UBS targets stayed flat despite the beat, tying AI substitution fears to real billings uncertainty rather than pilot momentum alone.
"Salesforce's capex gap versus Snowflake is a category error; the real risk is whether consumption pricing creates unpredictable billings, not whether they're investing enough in compute."
Grok conflates two separate issues: consumption pricing volatility (real) and Salesforce's capex commitment (a false equivalence). Snowflake's $6B pledge funds infrastructure they sell; Salesforce doesn't need matching capex—they license agents. The real test is whether tokenized pricing stabilizes or swings wildly. Wells Fargo/UBS flat targets likely reflect billings timing uncertainty, not capex skepticism. That's a different bear case than the one being constructed here.
"Salesforce's pivot to consumption-based pricing will structurally compress margins due to their dependence on third-party hyperscaler compute costs."
Claude is right to call out the capex false equivalence, but both panelists miss the real issue: Salesforce’s reliance on hyperscaler infrastructure. Unlike Snowflake, CRM remains hostage to Microsoft and AWS margins. If Agentforce scales, their cost of revenue will balloon because they lack the proprietary compute layer to defend margins. The market is ignoring that Salesforce is essentially a high-margin software layer trying to pivot into a low-margin consumption model, which is a recipe for multiple compression.
"Hyperscaler margin drag could erode incremental profitability even as ARR grows, risking multiple expansion."
Gemini rightly flags hyperscaler reliance as a potential drag, but misses how that dependency could channel margin compression beyond a 'consumption' narrative. If Agentforce adoption scales, Salesforce will still pay for compute via partner clouds, and cloud-provider margins could squeeze CRM's incremental margin, not just capex. That risk isn't priced into flat targets; even with ARR rising, GM and COGS momentum could stall multiple expansion.
The panelists debate the sustainability of Salesforce's growth and margin expansion as it transitions to a consumption-based model, with AI-driven headcount cuts potentially offsetting tokenized pricing benefits. The key concern is whether the 205% growth in Agentforce ARR can be sustained and if it will lead to margin expansion.
Successful navigation of the transition to a consumption-based architecture, allowing Salesforce to capture value from AI-driven efficiency gains.
Potential erosion of per-seat revenue as AI tools enable in-house builds and the shift to consumption-based pricing that could mute near-term billings.