Why Salesforce Plunged Over 40% in the First Half of 2026

Salesforce shares fell 40.9% in 1H 2026 despite beating earnings and raising the low end of FY2027 guidance, as investors feared disruption from increasingly capable agentic AI tools. Salesforce is countering with Agentforce (running at a $3.4B annualized run rate) plus “tuck-in” acquisitions including a $3.6B buy of Fin and other AI/data and metering upgrades. Management also approved a massive $25B accelerated share repurchase (part of a $50B authorization), reducing shares outstanding ~10% in days but increasing leverage, leaving the stock at <12x forward adjusted EPS estimates.

Analysis

AI is changing software from a seat-license model to a pricing-power test: whoever owns the workflow plus the billing layer can keep more of the economics. That is why CRM’s defense matters less as a model developer and more as a distribution and monetization platform; the acquisitions point toward capturing usage and outcome-based spend before that margin pool migrates to AI-native vendors. The buyback helps near-term EPS optics, but it also raises the penalty if the sector keeps re-rating lower or if growth has to be defended with leverage.

The next 1-3 quarters are about proof, not narrative. The market will focus on whether Agentforce becomes material ARR, whether retention stays resilient as seat counts come under pressure, and whether the new pricing rails can offset lower per-user monetization. If those metrics don’t inflect, CRM can stay “cheap” on earnings while still being expensive on duration, because the denominator risk remains unresolved.

Contrarian take: consensus is assuming AI destroys all legacy software evenly, but enterprises usually pay for labor replacement when it is measurable. CRM has enough workflow depth, customer data, and cross-sell surface to capture some of that savings, so the stock may be over-penalized relative to smaller SaaS names with weaker moats. ZM is only a secondary beneficiary through data surface value; the strategic link is real, but the P&L impact looks modest.

Key Decisions for Investors

• Long CRM / short IGV for 1-3 months as a relative-value hedge: own the incumbent with the best chance to monetize AI, hedge sector beta; target 10-15% relative upside if AI disruption fears persist, stop if CRM breaks post-selloff support on a guidance miss.
• Tactical long CRM only on confirmation that next quarter’s RPO/NRR and Agentforce monetization hold up; upside is a multiple re-stabilization, but abandon the trade if billings growth decelerates or debt metrics tighten after the buyback.
• Fade weaker seat-based SaaS rallies in the sector rather than shorting CRM outright; if AI pricing shifts to outcome-based models, the first losers are vendors without billing/data depth, not necessarily CRM.
• Watch ZM as a secondary AI-data beneficiary, but do not size it as a direct winner unless management can show incremental monetization from meeting-data workflows; otherwise it is a strategic signal, not an earnings driver.