Is Salesforce The Most Undervalued AI Stock Right Now?

The article argues Salesforce is positioned for an enterprise AI opportunity using Agentforce, Data Cloud, and Slack, supported by recurring revenue and cash generation. It flags the key uncertainty: whether AI agents become a meaningful new spending category. Overall, the piece is more forward-looking and positioning-focused than data-driven, with no specific financial metrics or confirmed catalysts.

Analysis

CRM is less a clean AI beneficiary than a monetization test case for enterprise software. The key question is not whether agents work technically, but whether buyers create a separate budget line for them; if not, AI mostly functions as a retention feature that defends core spend rather than expands it. That makes the stock highly sensitive to proof points around paid attach, net revenue retention, and whether AI usage lifts ACV faster than it adds infra and sales costs.

Competitive pressure is the real second-order risk. Horizontal copilots and suite-level bundling from larger platforms can force CRM to subsidize AI inside existing contracts, which would preserve logos but cap margin expansion and multiple upside. In that scenario, the more durable winner is not necessarily CRM but the underlying compute stack: if enterprise agents move from demos to production workloads, NVDA and cloud infra get the cleaner, recurring demand stream.

The near-term catalyst path is earnings commentary over the next 1-2 quarters, not product launches. The thesis is falsified if management cannot show measurable incremental bookings or if AI features remain bundled with no change in deal size. Over 6-18 months, the contrarian view is that AI may compress differentiation across software faster than it creates new spend, leaving CRM with strong fundamentals but limited re-rating potential.

Key Decisions for Investors

• Do not chase CRM here; wait 1-2 quarters for evidence of paid AI attach and ACV uplift before adding risk.
• Relative-value idea: long NVDA / short CRM for 3-6 months to express the view that enterprise AI monetization accrues first to compute, not app-layer vendors.
• For AI software exposure, prefer a basket tilt toward bundled platforms over standalone AI narratives until CRM shows incremental ARR from agents; reassess if next earnings show clear attach-rate inflection.
• Set a watch trigger on CRM: if bookings or cRPO improve while margins hold, the market may start capitalizing AI as a new spend category; absent that, keep the position neutral.