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The primary subject of this article is AI, specifically focusing on the operational challenges and governance issues surrounding agentic AI in business environments. While it touches on organizational readiness, the core discussion revolves entirely on the adoption trajectory and human-agent relationship dynamics within artificial intelligence systems. TechPulse take: Three major industry surveys reveal a significant gap between executive expectations for widespread agentic AI deployment and the current reality of production-grade implementations, highlighting that workforce readiness and process redesign remain critical bottlenecks. The data indicates that while agent creation is becoming faster and more accessible, scaling orchestrated multi-agent systems requires substantial shifts in accountability and governance rather than just technological upgrades.
Sursă care acoperăZDNet
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3 surveys deliver the same uncomfortable truth about adopting agentic AI

ZDNet6 min de cititArticolul și perspectiva sunt în engleză.

Scaling AI in business is less about technology and more about accountability, governance, and healthy relationships between humans and agents.

Follow ZDNET: Add us as a preferred source on Google. Scaling the AI agents in business is now a focus on accountability and governance. Half of working hours may be reshaped by the use of AI agents. Business accountability for AI agents will require humans "in the lead' versus "in the loop." In 2025, agentic AI was still mostly a promise. Today, it's a stress test for all companies across all industries. The results of three separate research studies -- from Deloitte, KMPG PwC, and Accenture -- all point to the same uncomfortable truth: Companies are moving fast on adoption and much slower on the harder work of actually rebuilding how they operate with humans and agents as part of their labor force.…

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