
What happened
A Salesforce Pulse survey of 250 U.S. executives found 68% see AI insights go unshared weekly, 66% see colleagues unknowingly solve the same problem, and 59% see work stall in one person's AI tool.
Why it matters
The survey suggests siloed AI use creates duplicated effort and lost time, with employees losing an average of 3.6 hours a week toggling between AI and other apps.
WHO IT HITSExecutives with decision-making authority over AI investments, particularly at large enterprises where 73% report weekly stalls, face pressure to connect AI tools across teams rather than deploying them person by person.
Summaries like this, every morning.
The survey data points to a gap between how AI tools are adopted and how work actually gets done. Most organizations are past the experimentation stage, with 49% deploying AI agents that complete tasks with some autonomy, yet only 15% have embedded those agents across multiple systems and interfaces. That mismatch shows up in the weekly patterns executives report: insights stranded in individual chat histories, colleagues duplicating each other's problem-solving, and work sitting invisible in one person's tool. The cost is not just abstract. Executives estimate 3.6 hours a week lost to switching between AI and other systems, which annualizes to roughly 22 business days per employee. Slack GM Rob Seaman frames the alternative as agents operating in shared spaces where they pick up how a company actually operates, rather than in private chats. The survey suggests executives already lean that way: when asked to design an ideal setup, 72% chose team-wide AI with shared context over individual use.
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