How Enterprises Can Catch Up With the Rapid Pace of AI Advances
AI Business, Tuesday, August 18th, 2026
AI Business argues enterprises need deep process understanding and model flexibility to keep up with AI's pace.
AI Business examines why enterprise adoption has again fallen behind the pace of AI technology development, echoing the gap that opened after ChatGPT's 2022 release.
The current focus on AI cost is forcing enterprises to take a hard look at where they are applying generative AI and whether they are actually capturing value.
The article argues that success depends on a deep understanding of the business processes AI is meant to automate rather than on model selection. It also argues for flexibility in the models and agents an organization uses, so that a shift in the frontier does not strand an implementation.
Reporter Esther Shittu notes enterprises have recently toned down their skepticism as costs and capabilities have clarified.