Salesforce executives Joe and Robin addressed investor concerns regarding the impact of AI-native startups and agentic interfaces on their business model. They argued that Salesforce's 26 years of proprietary customer data and vertical integration provide a formidable moat against disruption, positioning their platform and Slack as the natural "gravity" for human-agent collaboration. Executives emphasized that AI solutions like Agentforce are additive to seat-based revenue rather than cannibalistic, driving consumption and higher-value interactions. On capital allocation, Salesforce signaled a more aggressive stance on share repurchases, citing a valuation dislocation, while maintaining a balanced approach with dividends and disciplined M&A.

Key Takeaways

• Data as a Moat: Salesforce leverages 26 years of customer data and semantic understanding to defend against AI-native startups, arguing that tools alone cannot replicate deep business context.
• Slack as an Interface: Executives position Slack as the natural interface for agentic workflows, countering the threat of a universal AI UI disintermediating Salesforce.
• Seat Stability: Contrary to fears of seat compression, Salesforce is not seeing year-over-year declines in seats; AI tools are driving consumption and higher-value work rather than replacing users.
• Pricing Agility: Salesforce offers a menu of pricing options—including ELAs, consumption-based per-call pricing, and flex credits—to meet customers at different stages of AI adoption.
• Agentforce Momentum: Early adopters are expanding use cases rapidly, with internal "Customer Zero" initiatives validating efficiency gains and accelerating product confidence.
• New KPI: The "Agentic Work Unit" was introduced to measure valuable outcomes rather than just token consumption, aligning pricing with efficacy and customer success.
• Capital Allocation: Salesforce views its current valuation as dislocated and plans to be more aggressive with share repurchases, backed by a $50 billion authorization, while sustaining dividends and disciplined M&A.

Q&A

Morgan Stanley Analyst: How do you respond to the concern that AI-native startups can move faster and close the feature gap, potentially disrupting Salesforce?

• Joe (Salesforce Executive): Startups lack the deep semantic data and 26 years of customer context that Salesforce possesses; while tools raise the bar for everyone, Salesforce's vertical integration and data gravity provide a trusted foundation that startups cannot easily replicate.

Morgan Stanley Analyst: Is there a risk that a universal AI user interface will abstract users away from Salesforce, turning it into a backend system?

• Joe (Salesforce Executive): Slack is already the natural place where work happens and where AI companies themselves operate; rather than a single interface, there will be a plurality, with Slack serving as the "gravity" for human-agent collaboration.

Morgan Stanley Analyst: Are you concerned about the risk of seat-based pricing compression as AI agents replace digital labor?

• Robin (Salesforce Executive): Salesforce is not seeing seat declines; instead, they see a hybrid model where AI drives consumption and higher-value work, allowing humans to focus on proactive tasks while agents handle routine interactions.

Morgan Stanley Analyst: Why is it important to have such a confusing menu of pricing options for Agentforce, including ELAs, consumption, and credits?