Recent analysis questions whether the widespread adoption of artificial intelligence in business matches reported figures. Data suggests that implementation may be less comprehensive than industry narratives indicate, highlighting a need for cautious optimism.
According to new data from Ramp, Anthropic now serves more business customers than OpenAI. The figures highlight an evolving competitive dynamic in enterprise adoption of large AI models.
A significant proportion of enterprise AI projects fail to reach production, with organisational issues rather than technical limitations as the main culprit, says NTT DATA consultant Alex Potapov. Poor data readiness, lack of clear project ownership, and integration difficulties are the leading reasons for abandonment, eclipsing concerns about model performance. Potapov highlights that measurable business outcomes, stakeholder buy-in, and realistic proof-of-concept design are essential for successful deployment.
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