Enterprise AI readiness trails the hype amid agentic rush
The agent rush is here. Enterprise readiness is not.
Why it matters
As companies move AI from pilots to production, infrastructure gaps, cost control, and skill mismatches are becoming visible bottlenecks. Practitioners need to understand where adoption is actually happening vs. where hype is running ahead of capability.
The key facts
10 to knowEnterprise AI adoption concentrated in LLMs, edge systems, and agents
Gap widening between industry hype and infrastructure modernization readiness
Organizations struggling with cost control in scaled deployments
Transition from limited experimentation to core business operations is stalling
Application selection and infrastructure choices remain misaligned with organizational capability
Enterprise adoption concentrated in LLMs, edge systems, and agents
Organizations struggling with infrastructure modernization
Cost control emerging as constraint on scale
Gap between experimentation and core business operations deployment widening
Agentic rush outpacing organizational readiness
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Enterprise AI readiness is trailing industry rhetoric as organizations struggle to modernize infrastructure, control costs and choose appropriate applications. That gap is becoming more visible as companies attempt to move from limited experimentation into systems embedded in core business…