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CRM

Salesforce, Inc.

NYSE · Technology · Software - Application · US

$259.23
−1.97%
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Research · Sep 3, 2026

[CRM] Salesforce Thesis 2026: Agentforce Monetization Tests AI Platform Bet

Salesforce FY2025 (Jan 2026) revenue ~$39.5B (+8.5%) with adj. operating margin expanding to 33.5% (from 17.7% FY2021) — margin expansion thesis delivered. Agentforce (autonomous AI agent platform launched Sept 2024 at Dreamforce) reached ~5,000 customer deployments and ~$200-300M cumulative committed revenue in first full year. Data Cloud ~$1.5B (+~100% YoY). cRPO +11% indicates booking acceleration ahead of recognized revenue. FY2026 thesis: Agentforce monetization scales toward $1.5-2.5B annual recurring revenue by FY2027 (validating AI platform bet); Data Cloud reaches $3-4B by FY2027; core CRM (Sales+Service Clouds) sustains 5-7% organic growth; key competitive risk: Microsoft Copilot for Customer Service bundled with M365/Dynamics, ServiceNow AI agents, Google Vertex AI displacing Agentforce add-ons.

Research · Apr 23, 2026

Oracle, IBM Spur Legacy Tech Rally With 20% AI Cloud Revenue Share

Legacy enterprise tech like Oracle and IBM scale AI cloud to 15-22% of revenue, beating estimates by 18%, yet trade at 2-3x lower multiples than pure-plays. Cisco's 52-week high underscores the theme amid spiking coverage. Long ORCL/IBM/CRM relative to index targets 10-15% over 6 months, breaks on sub-15% AI growth in Q1 FY2027.

Research · Apr 10, 2026

Gold Hits $3,400: GLD, NEM, GOLD — Which Miners Have the Most Upside Left?

A UK study warns AI threatens high-paid jobs and tax revenue, spotlighting productivity opportunities for enterprise AI leaders. Microsoft, Salesforce, Adobe, Intuit, IBM, and Alphabet are automating professional roles with agents like Copilot and Firefly, backed by strong growth and margins. Ranked by conviction, MSFT and ADBE top the list amid accelerating adoption.

Research · Mar 12, 2026

AI Agents vs. Human Contact Centers: Mapping the Winners and Losers Across a $500B Market

AI agents are restructuring the $500B contact center market, creating clear winners (cloud platform vendors like NICE, Five9, and Salesforce) and losers (BPO operators like Concentrix and TTEC whose human-labor model is under structural assault). NICE leads on profitability and AI product maturity at an undemanding valuation; TTEC and Concentrix face secular headcount displacement with limited credible AI pivots.

Research · Mar 11, 2026

Can Contact Center BPOs Pivot to AI Services Before Volume Erosion Becomes Structural?

AI agents are automating the routine interactions that have supported BPO headcount models for decades, with Salesforce AgentForce and NICE Enlighten now deployed at enterprise scale. Among legacy BPOs, Concentrix and TTEC show acute financial distress from volume erosion and leverage, while TaskUs offers the most credible pivot into AI services — trading at just 7x forward earnings despite 19% revenue growth. NICE remains the highest-conviction CCaaS infrastructure play as contact centers modernize.

Research · Mar 11, 2026

Who Wins the $500B Contact Center AI Disruption — NICE, Salesforce, or the New Entrants?

The $500B contact center market is undergoing structural disruption as AI agents replace human representatives at scale, creating a clear opportunity for cloud CCaaS and infrastructure providers. NICE and Salesforce lead the field with defensible AI platforms and strong profitability, while Five9 faces a binary outcome and Twilio offers durable infrastructure exposure across the broader AI agent ecosystem.

Research · Mar 11, 2026

At What AI Agent Attach Rate Does CCaaS Revenue Mix Shift Structurally — and Who Gets There First?

The structural inflection in CCaaS occurs when AI agent autonomous-handle-rates cross 20-25%, shifting revenue mix from seat-based to consumption-weighted AI pricing. Salesforce has the highest probability of getting there first via Agentforce's installed-base scale, while NICE offers the best risk-adjusted valuation for investors positioning ahead of the 2027 inflection. Five9 and Verint are higher-variance bets on the pace of enterprise AI adoption.