TD Cowen reiterates Salesforce stock rating on AI agent progress By Investing.com

TD Cowen reiterated a Buy on Salesforce with a $250 price target, implying ~35% upside from the current $186.67 share price after a 29% YTD decline, citing Slackbot/Agentic AI Orchestration and 30+ new capabilities as a monetization catalyst. Other bullish signals include JMP noting Agentforce at $800M (+169% YoY), Stifel and Mizuho maintaining buy/outperform stances (Mizuho PT $265), BNP Paribas Exane raising its PT to $230 and increasing its FY27 buyback estimate to ~ $25B; however, a hedge fund manager disclosed short positions citing skepticism around AI talk versus performance.

Analysis

Salesforce’s recent product push is less about an immediate revenue uplift and more about shifting the company toward a consumption-first economics model; that transformation will rewire who captures margin across the stack. If customers shift work tasks from humans to continuous agent-driven processes, that expands recurring inference and orchestration spend (infra, third-party models, integration services) rather than one‑time license fees, creating a multi-year TAM expansion but also opening margin leakage to partners and cloud infra suppliers.

Second-order winners include hardware and systems vendors that sell GPU-heavy appliances (incremental unit demand with multi-year replacement cycles) and consultancies that monetize integration and change management; conversely, point SaaS vendors that rely on seat-based pricing may see churn as workflows consolidate onto platforms that sell orchestration and consumption. The buyback narrative provides optional near-term support to EPS/lift per share but doesn’t insulate the company from rising inference costs or adoption lags that show up in margins months later.

Key catalysts to watch are (1) cadence of reported consumption revenue growth vs. bookings, (2) incremental gross margin compression from infrastructure or partner take-rates, and (3) concrete customer case studies showing measurable productivity gains that shorten payback periods. Narrative-driven shorts make sentiment sensitive: expect outsized intra-quarter moves around product usage metrics and any signals of slower enterprise IT spend, so manage timing around earnings and usage disclosures.

Key Decisions for Investors

• Long CRM (6–12 months): establish a core long position sized 2–4% portfolio weight to capture platform optionality; hedge tail downside with a 6–9 month put (cost-limited) sized 25–35% of position. Rationale: asymmetric upside if consumption monetizes; controlled loss if adoption stalls.
• Pair trade — Long CRM / Short APP (6–12 months): buy CRM equity and short APP to hedge cyclicality risk tied to ad/consumer spend. Size net exposure so market beta is neutral; target 2:1 upside on gross notional if CRM re-rates while APP reverts to cyclical mean.
• Long SMCI (3–9 months) tactical buy: allocate a small, conviction-weighted position to play elevated GPU/hardware replacement demand from enterprise AI projects, set 15–25% trailing stop. Rationale: direct benefactor of increased on-prem and cloud-hybrid infra spend.
• Options income hedge around events (near-term): sell a limited amount of near-term calls against long CRM equity (covered calls) or buy short-dated puts to protect ahead of earnings/usage prints. Trade sizing should cap downside to the known premium paid and assume event-driven volatility spikes.