AI adoption seems to be on the rise, but the maturity of the technology means enterprises are still facing many obstacles.
May 29, 2026
As enterprises build and deploy generative AI applications and AI agents, they seem to have set aside concerns about AI technology.
However, beneath the facade of adoption lies a hidden truth about the obstacles businesses face as they try to move from generative AI applications to fully automated systems. Businesses still face significant questions about measuring ROI, how much to invest and how to account for costs when AI goes wrong. There's also figuring out how to bring employees along and how to work through technology basics, such as product lifecycle management.
Skepticism about generative AI has dwindled as applications such as ChatGPT Enterprise and Anthropic Claude Cowork have become commonplace in enterprises. The story becomes complicated when enterprises move from generative AI applications to creating AI agents tasked with different jobs, aiming to move toward true autonomy and achieve agentic AI.
