Why AI adoption is a people problem, not a technology problem
Change management, not AI capability, is why most enterprise rollouts stall — and it's not a new problem.
Why it matters
An analysis of why AI adoption fails in organizations due to poor change management and organizational readiness rather than technology limitations. Relevant to practitioners responsible for AI deployments and organizational change, but lacks concrete deployment data or enterprise case studies.
The key facts
6 to knowChange management cited as primary adoption barrier
Technology capability not the limiting factor
Organizational readiness and people factors emphasized
Article frames AI adoption failure as a people/change-management problem rather than a technology problem
Suggests poor organizational readiness and change management practices are blocking AI deployments
No specific deployment data, metrics, or case studies cited in available content
Go to the source
ITProitpro.com
Publisher excerpt: Poor change management, not weak technology, is why AI adoption fails