AWS has dived headfirst into the agentic AI hype cycle, but old tricks will help it chart new waters
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AWS has dived headfirst into the agentic AI hype cycle, but old tricks will help it chart new waters
"It's the big trend that's taken the tech industry by storm over the last year, and truth be told, I'm at the point where I've covered the topic so much that I'm dealing with a severe case of semantic satiation. AWS announced a new class of agents at its annual re:Invent conference last week. Known as " frontier agents ", these are more powerful, intuitive, and better equipped to deal with extended periods of operation than the first generation of agents."
"As with generative AI, the agentic trend is nowhere near the point of delivering on the bold promises made by major industry providers. An MIT study in August, for example, found enterprises have invested upwards of $35 billion in generative AI projects. Yet despite these huge investments, they still haven't reached the productivity-related promised land predicted by big tech. On the agentic AI front, the situation is roughly the same, with a similar pessimistic outlook on success rates."
AWS announced a new class of "frontier agents" positioned as more powerful, intuitive, and capable of extended operation. Event messaging compared agentic AI's potential impact to the web and cloud. Large enterprise investments in generative AI—an MIT study found upwards of $35 billion—have not produced expected productivity gains. Gartner predicts over 40% of agentic AI projects will be cancelled by 2027, citing escalating costs, unclear business value, and inadequate risk controls. Enterprises and vendors have roughly two years to demonstrate clear returns before enterprise patience and budgets run thin.
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