From adoption to impact: Three horizons of AI transformation
Executive Take
Leaders should stop measuring AI success by tool adoption rates and start building the structural changes—workflow redesign, governance, capability building—needed to convert individual usage into enterprise-level ROI.
Executive Summary
McKinsey's new global survey finds most organizations remain in early stages of AI adoption, with individual employee use outpacing enterprise-wide value capture. The report outlines "three horizons" describing how companies can progress from ad hoc AI adoption toward organization-wide transformation and measurable impact.
Why It Matters
Technology and AI leaders need a maturity framework to benchmark their organization's AI progress against peers and justify continued investment; HR leaders should note that individual-level adoption without structural change rarely translates to bottom-line impact.
Bizquad Perspective
The "three horizons" framing is useful but likely understates how many organizations will stall permanently at horizon one, since most enterprises lack the change-management muscle to redesign workflows rather than just bolt on tools.