Thsi week we look at an article from datapro.news titled "🤔 AI Adoption Failures: What you can do to succeed?" by Samuel Williams, dated October 22, 2025, which discusses the paradox of enterprise AI adoption. It highlights that despite record investment and widespread deployment, nearly eight in ten enterprises are failing to realise significant financial value from their AI initiatives. The investigation attributes this failure not to technological limitations, but to three critical friction points: Leadership Misalignment (treating AI as a technical rather than a business transformation challenge), Organisational Conflicts (internal resistance and sabotage), and increasing Compliance and Regulatory Complexity, particularly around "Sovereign AI demands." The author advises data management professionals to shift from deploying horizontal tools to domain-specific Vertical AI Agents and to prioritise governance, architectural foresight, and rigorous value measurement to bridge the gap between deployment and tangible business outcomes.

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