Dreamforce 2026: AI Has Left the Pilot. Now Comes the Hard Part.
For the past few years, enterprise AI strategy has revolved around a simple question: What can AI do?
It can summarize customer histories, generate campaigns, prepare sellers for meetings, resolve service requests, and execute increasingly complex sequences of tasks. The more interesting question emerging from Dreamforce is what happens when those capabilities stop living inside isolated pilots and begin operating across the enterprise.
Rather than center Dreamforce on a single breakthrough model or another generation of copilots, Salesforce outlined pieces of a much broader agentic architecture: AIforce as a new interface layer, specialized reasoning through Koa, increasingly autonomous agents, and an enterprise framework intended to govern agents and models across ecosystems.
Taken together, these announcements point to a larger shift:
Enterprise AI is moving from a feature inside software to a layer connecting people, data, decisions, and actions across the business.
The challenge isn’t simply adopting more AI. It’s deciding...
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