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According to EY’s latest U.S. AI Pulse Survey, corporate budgets are pouring into agentic AI projects across industries, but most decision-makers still don’t know what they’re buying. The term is getting tossed around everywhere, slapped onto anything that remotely smells like generative AI, and executives are greenlighting tens of millions with no real grasp of what these systems actually do. That’s creating a disconnect between cash and capability, and it’s not small. One out of every five senior leaders surveyed said their company already dropped over $10 million into AI, and nearly one-third plan to do the same next year. Dan Diasio, EY’s global AI leader, didn’t seem surprised. “Agentic AI has a buzz about it that many in the market want to capitalize on,” Dan said. “We’ve seen an incredible rebranding of anything related to generative AI presented as ‘agentic AI.’” The problem? Most of what companies are calling agentic still works like an assistant. You type something in, it spits something out. It might recommend a next step or automate some admin work, but it’s not doing anything independently. Dan said real agents know when a task needs doing, understand the context, and handle every step without being told. Leaders spend more, adopt less Despite the surge in spending, implementation is crawling. Only 14% of surveyed leaders said their company had fully rolled out agentic AI. Everyone else is stuck in pilot purgatory. Dan said the gap is because companies aren’t ready for the demands. “This includes having organized, high-quality knowledge to guide these systems and a clear understanding of how companies navigate the massive change between the current and future states.” Translation: no foundation, no rollout. Even with returns from earlier AI tools, most firms are hesitant to move forward. Dan said it’s the mix of technical…

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Filed under: News - @ September 24, 2025 3:28 pm