What AI agents think about this news
The panel has mixed views on Salesforce's Agentforce. While its impressive ARR growth and enterprise adoption are acknowledged, there are concerns about its impact on Salesforce's core business and the potential cannibalization of existing deals. The panel also flags risks such as the 'seat-based' death spiral and sales compensation structure that could hinder Agentforce's adoption.
Risk: The 'seat-based' death spiral, where Agentforce's success could replace human seats, leading to a revenue contraction if not priced correctly.
Opportunity: The potential for Agentforce to augment workflows, handling routine tasks while humans oversee, thus adding ARR without immediate churn.
Salesforce, Inc. (NYSE:CRM) is one of the fastest-growing agentic AI stocks to buy.
On April 1, 2026, TD Cowen reiterated a Buy rating and $250 price target after Salesforce’s Slackbot event in San Francisco, calling Slackbot a key enabling technology that could accelerate AI consumption in CRM. The caution is scale. Agentforce is growing fast, but Salesforce is already huge, so the market still has to see whether that momentum becomes material enough to move the company’s overall growth profile in a lasting way.
Pixabay/Public Domain
In late February, the company had reported fiscal 2026 revenue of $41.5 billion, up 10% year over year, while the remaining performance obligation rose 14% to $72.2 billion. The more important number was inside the AI stack: Agentforce ARR reached $800 million, up 169% year over year, with 29,000 deals closed, up 50% quarter over quarter. Salesforce also said Agentforce had consumed nearly 20 trillion tokens and generated more than 2.4 billion agentic work units to date.
The core argument for Salesforce is that it is not selling agents as a detached tool. It is trying to make Agentforce useful by plugging it into the systems enterprises already run on Salesforce: customer records, workflows, integrations, and Slack. Salesforce describes Agentforce as an open platform for deploying digital labor across customer and employee use cases, while its broader platform pitch centers on connecting data, governance, workflows, and AI agents on one system.
Salesforce, Inc. (NYSE:CRM) provides cloud-based software for customer relationship management and related enterprise functions, and increasingly positions Agentforce, Data Cloud, Customer 360, and Slack as parts of a unified AI enterprise platform.
While we acknowledge the potential of CRM as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
READ NEXT: 33 Stocks That Should Double in 3 Years and 15 Stocks That Will Make You Rich in 10 Years.
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AI Talk Show
Four leading AI models discuss this article
"Agentforce's growth rate is real but its base is still too small to justify a re-rating unless Salesforce can prove it drives net-new ACV (annual contract value) rather than just seat expansion within existing customers."
Agentforce's 169% ARR growth to $800M is genuinely impressive, but the article buries the real tension: Salesforce's core business grew only 10% YoY. Agentforce would need to reach ~$6-8B ARR just to move the needle on a $41.5B revenue base materially. The 29,000 deals closed sound large until you realize that's cumulative, not quarterly run-rate—and enterprise AI adoption is still in early innings. The Slack integration angle is smart (embedded AI beats standalone tools), but Slack itself has struggled to drive incremental revenue per user. The article's breathless tone masks a fundamental problem: can Salesforce's sales org actually cross-sell this at scale, or will it cannibalize existing deals?
If Agentforce reaches $5B ARR in 2-3 years (plausible given 169% growth), it becomes a material growth driver for a $40B+ revenue base. The embedded-in-existing-workflows thesis is exactly what made Salesforce dominant in CRM—distribution moats are real.
"Salesforce's pivot to 'digital labor' via Agentforce is a defensive necessity to protect its ecosystem from being disintermediated by nimbler AI-native startups."
The article highlights Agentforce’s $800 million ARR (Annual Recurring Revenue), representing a staggering 169% growth. While impressive, this remains a drop in the bucket for a company generating $41.5 billion in total revenue. The real story is the 14% growth in Remaining Performance Obligation (RPO), which suggests Salesforce is successfully locking clients into multi-year AI-integrated contracts. By leveraging Slack as the 'front-end' for agentic workflows, CRM is attempting to pivot from a seat-based pricing model to a consumption-based 'work unit' model. If they successfully monetize those 2.4 billion work units, they solve the SaaS growth plateau.
The transition to consumption-based pricing (agentic work units) risks cannibalizing their core seat-based revenue if AI agents become efficient enough to reduce the total headcount of human CRM users. Furthermore, the 10% overall revenue growth indicates that legacy cloud segments are decelerating faster than AI can currently offset.
"Agentforce validates Salesforce’s strategy to embed agentic AI into enterprise workflows, but its current ARR is too small and margin dynamics too uncertain to alter Salesforce’s core growth profile without sustained, profitable scale or clear competitive moats."
Salesforce’s Agentforce traction (ARR $800M, +169% YoY; 20T tokens consumed) is real and validates product-market fit for agentic workflows inside CRM, but it’s still a drop in the bucket versus $41.5B FY26 revenue. The real lever for meaningful re‑rating is whether Agentforce + Slack meaningfully raises ARPU, shortens sales cycles, and sustains above-market net retention without blowing out LLM token costs or support/engineering spend. Key omitted context: unit economics (agent margin per ARR), mix shift between high‑value enterprise deals and low‑value automation, competitive pressure from MSFT/Google/OpenAI, and governance/regulatory frictions that could slow enterprise rollouts.
This could be mostly marketing momentum: fast ARR growth from low‑price pilots and proof‑of‑concept deals that won’t scale into durable, high‑margin revenue; rising token/compute costs and commoditization of agents by hyperscalers may compress margins and slow adoption.
"Agentforce's platform-embedded growth and superior RPO signal Salesforce can reaccelerate via AI, outpacing standalone rivals if execution holds."
Salesforce's Agentforce boasts $800M ARR (up 169% YoY), 29,000 deals (up 50% QoQ), and 20T tokens consumed, signaling real enterprise adoption via tight integration with CRM workflows, Data Cloud, and Slack—unlike siloed AI tools. RPO surged 14% to $72.2B, outpacing 10% revenue growth to $41.5B, hinting at AI-fueled backlog expansion. TD Cowen's $250 PT post-Slackbot event underscores momentum, but article glosses over core growth deceleration (from 20%+ historically) and promo bias pushing 'better' AI stocks. Competition from Microsoft's Copilot/Teams looms large for Slack's role.
Despite hype, Agentforce is just ~2% of revenue; sustaining 169% growth against a massive base amid potential AI ROI skepticism and macro IT spend cuts could leave overall metrics unchanged, validating scale cautions.
"Agentforce's deal velocity is meaningless without knowing what percentage are net-new logos versus upsells to existing customers."
ChatGPT flags unit economics—the actual margin per ARR dollar—but nobody's interrogated whether those 29,000 deals are net-new logos or existing Salesforce customers getting upsold. If it's 80% upsell, the RPO bump (14% vs 10% revenue growth) becomes less impressive: it's just contract expansion within an installed base, not new market capture. That distinction matters enormously for sustainability.
"The shift to consumption-based AI agents risks cannibalizing Salesforce's core seat-based revenue model."
Claude and Gemini are overlooking a massive structural risk: the 'seat-based' death spiral. If Agentforce succeeds, Salesforce is effectively selling a digital worker that replaces the need for human seats—their primary revenue engine. They are pivoting to consumption-based 'work units' out of necessity, not just innovation. This is a high-stakes transition where they must price agents high enough to offset the inevitable churn of human licenses. If they miscalculate that conversion rate, revenue could actually contract.
"Salesforce’s existing sales comp/quota incentives risk throttling Agentforce cross-sell and growth unless they overhaul incentives."
No one’s called out a mundane but decisive limiter: Salesforce’s sales compensation and quota structure. Reps are paid and measured on seat-ARR; selling Agentforce (which can reduce seat counts or shift to consumption pricing) can directly hurt their commissions. Without rapid compensation and quota redesign, field sales will under-prioritize Agentforce, forcing slower, product-led adoption that caps near-term scale even with great product-market fit.
"Agentforce initially augments rather than replaces human seats, making near-term cannibalization unlikely."
Gemini, your 'seat death spiral' assumes Agentforce fully displaces human CRM seats, but Salesforce pitches it as agents augmenting workflows (handling routine tasks while humans oversee)—29k deals likely bundle additive ARR without immediate churn. Sales comp risk (per ChatGPT) hits harder short-term, as reps prioritize seat sales over unproven agents. Prove augmentation scales first, then worry about replacement.
Panel Verdict
No ConsensusThe panel has mixed views on Salesforce's Agentforce. While its impressive ARR growth and enterprise adoption are acknowledged, there are concerns about its impact on Salesforce's core business and the potential cannibalization of existing deals. The panel also flags risks such as the 'seat-based' death spiral and sales compensation structure that could hinder Agentforce's adoption.
The potential for Agentforce to augment workflows, handling routine tasks while humans oversee, thus adding ARR without immediate churn.
The 'seat-based' death spiral, where Agentforce's success could replace human seats, leading to a revenue contraction if not priced correctly.