AI rollouts fail because of culture
Briefly

AI rollouts fail because of culture
"Companies spent $37 billion in 2025 on AI, but spending does not guarantee success. Many organizations are emerging from major rollouts with little to show for it, as adoption remains low and productivity hasn't increased."
"The most common mistake is automating the old way of doing business instead of redesigning it. Organizations should ask, 'If we were building this from scratch today, what would humans do, what would AI do, and what should we not do at all?'"
"While centralized training is important, organizations need to activate their champion network. The fastest way to accelerate AI adoption is to connect and empower those already experimenting and applying AI in their work."
AI is a priority for organizations, with significant spending reported. However, many companies face low adoption rates and minimal ROI due to treating AI as a simple software installation. Successful AI deployment necessitates a redesign of workflows and a shift in organizational behavior. Companies should focus on high-impact workflows and leverage existing champions within the workforce to accelerate AI adoption, rather than relying solely on centralized training programs.
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