The detrimental cost of scaling too fast
THE SO WHAT
McKinsey’s data—44% of orgs “scaling AI,” 54% at $1B+ revenue—suggests AI is crossing from pilot theater into real operations, where bad scaling decisions compound quickly. Before you chase that status, map where verification, data quality, and change management will break first; the cost of rework and trust loss is now the main risk, not model accuracy on day one.
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