This Software Company Is Betting $25 Billion That Its Stock Is Severely Undervalued Right Now

Salesforce authorized a $50B buyback and issued $25B of debt (executed ~80%) as management bets on a near-term AI-driven revenue reacceleration. Agentforce sales rose 169% YoY to $800M last quarter and AI-linked ARR totaled $2.9B; management now targets revenue of $63B by fiscal 2030 (from $41.5B in fiscal 2026), implying ~11% annualized revenue growth and adjusted operating margin near 40% (from 34.1%), driving ~15.5% average operating income growth over four years. Shares trade at ~14x earnings expectations and an EV just over 10x next-year EBITDA, supporting management’s aggressive buyback activity.

Analysis

The market is pricing Salesforce more like a cyclical software growth story than a franchise with an embedded data-and-agent stack, compressing multiples and creating convexity if AI adoption accelerates. The combination of share count reduction and higher-margin, tokenized revenue implies EPS is levered to relatively small improvements in token pricing or usage intensity, so the path of customer token adoption (not just license wins) will dominate returns.

Execution sensitivity is asymmetric: upward surprises (faster upsells, higher token consumption, cross-sell of data services) scale operating leverage quickly because a large portion of costs are semi-fixed, whereas downside is concentrated in elongated enterprise procurement cycles, token-price competition from hyperscalers or nimble startups, and higher interest costs from recent debt-funded buybacks. Monitor leading indicators — net new ARR composition, token consumption per seat, Informatica attach rates, and free float change — which will predictably lead the stock by 1–3 quarters.

A practical second-order beneficiary is the data-integration layer vendor set that participates in packaged AI offerings; vendors that are embedded into enterprise AI workflows will see disproportionate renewals and price resiliency. Conversely, pure-play incumbents that rely on seat-based pricing without token or value-based meters are exposed to both displacement and multiple compression if customers shift economics toward consumption-based billing.

Key Decisions for Investors

• Core bullish (CRM equity + tail protection): Establish a 2–4% portfolio long in CRM shares now and buy a 12-month 20% OTM protective put to limit downside from macro or AI-narrative shocks. Risk/reward: limited near-term downside via the put; asymmetric upside if token adoption and buybacks compress float further — target 40–70% upside over 12–24 months if adoption trends accelerate, with protected loss capped at put strike premium.
• Event-levered options (CRM call spread): Buy a 15–18 month CRM call spread (buy ATM call, sell 25–30% OTM call) sized to 0.5–1% portfolio to target H2-FY27 reacceleration. Risk/reward: capped max loss = premium paid; potential 3:1+ upside if guidance beats are confirmed and margin expansion continues.
• Data-layer participation (INFA): Allocate 0.5–1% to INFA equity or a 9–12 month call to play outsized attach rates and upsell of integration/ETL services into agentic workflows. Risk/reward: INFA should outgrow peers if it remains the preferred data fabric in packaged AI offerings; downside if enterprises select alternative vendors or internalize ETL.
• Narrative hedge (NVDA put spread): Buy a small NVDA 9–12 month put spread (size 0.5% portfolio) as insurance against a broad AI-tarriff/regulatory or compute-disruption shock that would depress sentiment across AI beneficiaries, including CRM. Risk/reward: modest cost to protect portfolio convulsions in the AI trade; payoff correlates to severity of AI narrative reversal rather than CRM-specific execution.