OpenAI and industry outlets report on enterprises adopting agentic AI to move from question answering to executing multi-step tasks
Research publication Updated 60% confidence first seen
OpenAI’s research describes how enterprises are shifting from using AI for assistance to using agentic systems that can execute multi-step work. The coverage also highlights production challenges such as cost control, data access and governance, and the need for platform-level operationalization and infrastructure to run agents reliably.
Nutanix
OpenAI
Red Hat
ChatGPT
Codex
Fernandes
Nutanix’s Agent Gateway
SiliconANGLE
hybrid, open-source infrastructure
private cloud
public cloud
sandbox runtimes
sovereign and edge environments
Source coverage
From assistance to execution: How enterprises put AI to work
OpenAI
official
Agentic AI infrastructure shifts enterprise focus from model choice to platform control
SiliconANGLE
independent
Scaling AI agents with trustworthy data
MIT Technology Review
independent
Industry experts weigh in as AI moves from proof of concept to production
SiliconANGLE
independent