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This Remains One of the Most Underrated AI Stocks

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This Remains One of the Most Underrated AI Stocks

Salesforce reported fiscal Q3 (ended Oct. 31, 2025) revenue of $10.3 billion, up 9% year-over-year, with non-GAAP operating margin expanding to 35.5% (from 33.1%) and free cash flow rising 22% to $2.2 billion; management returned $4.2 billion to shareholders and raised full-year revenue guidance to $41.45–41.55 billion (9%–10% growth). AI offerings (Agentforce and Data 360) generated nearly $1.4 billion in ARR, up 114% YoY (Agentforce >$500M ARR), boosting RPOs (current RPO +11% to $29.4B; total RPO +12% to $59.5B) and underscoring AI as an accelerant atop an otherwise diversified SaaS business; valuation metrics (P/S <6, P/E ~32) are cited as materially cheaper than pure-play peers such as Palantir.

Analysis

Market structure: Salesforce (CRM) wins as AI monetization increases ARPU—Agentforce + Data 360 hit ~$1.4B ARR (+114% YoY) and current RPO +11%, signaling sticky contracted demand that supports pricing power for add‑ons. Direct beneficiaries: CRM, cloud infra providers (AWS/AMZN, MSFT, GCP/GOOGL), and systems integrators; losers: narrow pure‑play analytics/defense names (e.g., PLTR) where valuation already prices perfection. Cross‑asset: stronger FCF and buybacks compress credit spreads (supporting IG corporates), likely lowering equity risk premium for CRM while boosting NVDA sensitivity through GPU demand; USD strength remains a revenue headwind risk for multinational SaaS. Risk assessment: Tail risks include rapid regulatory curbs on enterprise AI (data/privacy/antitrust), major model failures leading to legal exposure, or a commercial pause in AI spending that would materially slow RPO growth. Short term (days–weeks) expect volatility around guidance and RPO updates; medium (3–12 months) depends on continued AI ARR doubling cadence; long term (1–3 years) CRM can add several percentage points to revenue growth if AI ARR scales to $5–10B. Hidden dependency: CRM’s AI delivery relies on third‑party cloud/GPU capacity and partner go‑to‑market execution. Trade implications: Establish a modest constructive stance: size CRM exposure 1–3% of portfolio via equity or 12–18 month LEAP calls (Jan 2027 ATM) to capture structural AI upside while limiting capital. Pair trade: long CRM vs short PLTR (dollar‑neutral) for 3–9 months — CRM P/S <6 vs PLTR >100 implies asymmetric risk/reward. For income/volatility management sell 30–60 day 5–10% OTM covered calls on existing CRM on rallies; overweight AI infra (NVDA) tactically for GPU demand. Contrarian angles: Consensus underweights CRM’s AI monetization runway — if AI ARR repeats +100% one more year CRM could add ~$2–3B ARR by 2027, materially improving revenue growth and justifying multiple expansion. Conversely the market may be too complacent about regulatory risk and concentration on cloud partners; a slowdown in access to GPUs or new privacy rules would compress margins and re‑rate peers. Historical parallel: Microsoft’s Copilot cycle — enterprise suites monetized AI as high‑margin add‑ons, but also attracted regulatory attention and required slower rollout to manage risk.