McKinsey's 2026 State of AI survey: enterprise conviction and agentic AI scaling outpace measurable ROI
2026-08-25
Per The Register's coverage of McKinsey's State of AI in 2026 report, based on a survey of 1,719 professionals and business leaders, 37% of respondents attribute at least some EBIT impact to AI use, roughly flat versus 2025, and only 6% qualify as McKinsey-defined 'high performers' (at least 5% of EBIT attributed to AI with 'significant' impact) — also flat year over year. Agentic AI scaling among organizations with over $1 billion in revenue rose to 40% from 27% a year earlier, and nearly a third of respondents said their organization chose to build software functionality in-house with agentic coding tools rather than buy it. Twenty percent said AI-related operating costs have constrained their use of the technology. Eighty percent of individual AI users reported a personal productivity improvement. Thirty-nine percent of respondents now expect AI-driven job cuts at their employer in the coming year, up from 32% in 2025, though The Register noted McKinsey's own prior-year data showed 2025 workforce reductions 'fell well short of what respondents in last year's survey had anticipated.'
Significance 4: A large, repeated cross-industry survey showing enterprise AI investment and agentic-tool adoption both rising while EBIT-level ROI stays flat is a substantive, corroborated (if commercially interested) data point on enterprise adoption outcomes, which the rubric and lane guidance both treat as first-class regardless of whether new technology shipped.
Implications · machine-drafted, not owner judgment
This is a clean instance of what Work That Holds calls the technology illusion: tool deployment (scaling agentic AI, building in-house with coding agents) is outrunning the organizational capability to convert it into measured earnings impact, and the gap between expected and realized headcount reductions echoes the momentum mirage — activity read as progress that outpaces what's actually landing. Because McKinsey sells transformation consulting, its 'road to ROI' framing should be read as a claim per its own commercial interest, not a finding, per The Register's skeptical framing; the flat 6% high-performer rate is the more load-bearing number. For enterprise AI adoption advisory work, the persistent EBIT-attribution gap is the argument for organizational-readiness diagnosis over more tooling.
- Whether McKinsey's 2027 survey shows the 6% high-performer rate move
- Any large enterprise publicly disclosing agentic-AI-driven headcount reductions matching the 39% expectation figure
Sources
- press McKinsey says enterprise AI is finally 'on the road to ROI' retrieved 2026-08-26