• As enterprises race from pilots to autonomous systems, rising costs, fragile governance, and unrealistic expectations are forcing a reckoning. • So what separates agentic AI initiatives that survive from those that quietly shut down? • Credit: Randy Hergenrether / Shutterstock Agentic AI has quickly become one of the most loaded terms in enterprise technology. • Vendors promise systems that can make decisions and act autonomously, moving AI beyond assistance and into execution. • For CIOs under pressure to deliver measurable returns from AI investments, the appeal is obvious. • But behind the momentum, a growing number of enterprises are hitting the pause button.
Article Summaries:
- As enterprises race from pilots to autonomous systems, rising costs, fragile governance, and unrealistic expectations are forcing a reckoning. So what separates agentic AI initiatives that survive from those that quietly shut down? Credit: Randy Hergenrether / Shutterstock Agentic AI has quickly become one of the most loaded terms in enterprise technology. Vendors promise systems that can make decisions and act autonomously, moving AI beyond assistance and into execution. For CIOs under pressure to deliver measurable returns from AI investments, the appeal is obvious. But behind the momentum,
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