“The hidden ownership question in enterprise AI is not answered simply by asking who owns or controls the data. It is who captures the value created from it.”

As organisations invest heavily in enterprise AI, many assume that retaining rights in and control over their data means retaining the value it generates, but AI is beginning to challenge that assumption. The value created by AI depends on factors beyond the underlying information supplied, such as model architecture, critical infrastructure and ongoing refinement.

Those who benefit from AI-enabled value creation are not always the same as those bearing the associated risks. Boards and senior management should therefore understand how value, control and accountability are distributed across the AI ecosystems.

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