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The part of consulting that AI has genuinely disrupted is the synthesis layer. The production of a credible diagnosis now takes hours where it once took weeks.
What has not compressed is the work of getting an organization to actually change, which the source frames plainly as a contact sport that only humans can play.
Where AI sits in the consulting stack Recommendation generation is fundamentally a data and reasoning problem.
Given sufficient inputs, a model can produce a strategic diagnosis as credible as what a team of analysts would deliver after a full engagement. The deliverable itself is largely solved.
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