Dreamforce Attendees Shrug At Frontier Models. Last Year's AI Is Plenty. The Adoption Gap Is The Story, Obviously.

At Salesforce's annual Dreamforce conference in San Francisco, business leaders reportedly said they are still figuring out how to extract value from currently available AI models. One attendee quoted in CNBC coverage said "it's already hard enough to keep up." Meanwhile, Databricks released GPT-6 Astra to all 3,500 of its software developers this week, showing that some companies do want cutting-edge capabilities. The safety debate among headliners at the conference appears disconnected from the practical concerns of attendees on the ground.

This illustrates the deployment lag, a well-known phenomenon in technology adoption where the rate of model improvement vastly outpaces organizational absorption capacity. The mental model here is diffusion of innovation. The frontier moves faster than the install base. What matters for everyday users is not which model is newest but which model they have actually learned to use productively.

Salesforce hosts Dreamforce where attendees expressed satisfaction with older models. Databricks deployed GPT-6 Astra to 3,500 developers. The tension between frontier pursuit and practical adoption is the story CNBC identified.