Enterprise AI agent rollouts slow outside the lab

"Earlier this month, Gartner forecast that investment from software vendors and cloud providers would propel a trillion-dollar increase in AI spending this year as investment hits $2.52 trillion. Enterprise users, however, are in the "trough of disillusionment" as reactions to enterprise project pitches go from "that was a great idea" to "where's my revenue?" the research firm said."

""I've seen fewer examples of real successful production agents than I would have imagined [in terms of] anything outside of engineering," he said. "It is still quite hard to do, and only the biggest companies in the world understand this is the future they're investing in. I don't think they're going to stop. They realize they need to have this next-generation platform.""

AI agent rollouts are slowing as many organizations reassess how to move pilots into production. Gartner forecasts a roughly $1 trillion increase in AI spending this year to $2.52 trillion, while enterprise users are in the "trough of disillusionment" seeking clear revenue from AI projects. Redis is expanding beyond caching with machine learning features, JSON support, and managed services designed to help transition agent projects into production. Industry experience shows relatively few successful production agents outside engineering and that only the largest companies are currently investing in next-generation agent platforms. Redis launched LangCache to cache semantically similar LLM responses and reduce latency and cost.

Read at Theregister