Amodei & Benioff at Dreamforce: Claude Meets Salesforce
The Anthropic and Salesforce CEOs discuss their partnership, Claude in Slack, and the trajectory toward AI writing most enterprise code.
Why the Anthropic-Salesforce Partnership Matters
This Dreamforce 2025 conversation captures two influential CEOs at the intersection of enterprise software and frontier AI. Marc Benioff, who built Salesforce into the enterprise cloud leader, sits down with Dario Amodei, whose Anthropic has become the fastest-growing AI company in history.
The partnership context is key: Salesforce has integrated Claude into Slack, and Benioff is clearly excited about the results. "It's been exciting to use your model inside Slack with our new Slackbot," he says at the start.
Amodei's framing of model development is striking: "You don't write every line of code. You're growing these models. You set a high level recipe." This organic metaphor for AI development - cultivation rather than construction - reflects how different frontier AI development is from traditional software engineering.
The safety discussion is substantive, not performative. Amodei emphasizes that "safety and responsibility are going to be very important to make sure that the models behave predictably as we deploy them." For enterprise customers, predictable behavior isn't just an ethical concern - it's a business requirement.
The enterprise focus aligns with Anthropic's broader strategy. "Having a business model that serves the enterprise helps," Amodei notes, reinforcing why Anthropic has bet on B2B rather than competing directly with ChatGPT for consumers.
4 Insights From the Dreamforce AI Discussion
- Claude is now integrated into Slack through the Anthropic-Salesforce partnership, bringing frontier AI into daily enterprise workflows
- Amodei frames AI development as "growing models" with high-level recipes, not writing every line of code - a cultivation metaphor
- Safety and predictability are positioned as enterprise requirements, not just ethical considerations
- The trajectory points toward AI involvement in the vast majority of enterprise code production
