Gartner, February 2026: “Why Workforce Readiness — Not Technology — Determines AI Success”

Posted on February 6, 2026

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Hansen, July 2007: “Technology is Step 3 in a 3-step process — after people and process alignment.”

Hansen, 1998: Strand Commonality and the Metaprise framework — developed through research funded by the Canadian Government’s Scientific Research & Experimental Development (SR&ED) program — built on one premise: organizational readiness determines implementation success, not technology capability.

Gartner now says 71% of CIOs report their workforce isn’t ready for AI. They’re finally framing the problem correctly.

But using the right words isn’t the same as understanding what they mean.

Gartner’s webinar focuses on workforce skills and behavior. Phase 0 readiness goes further: decision rights, escalation paths, trust thresholds, and minimum organizational readiness before any technology deployment.

If readiness — not technology — determines success, why does Gartner’s Magic Quadrant still measure “Ability to Execute” (capability) without measuring actual execution outcomes?

The Hansen Fit Score Gartner assessment found a 4.8-point gap between Gartner’s influence on decisions and their influence on outcomes. They’ve never published implementation success rates for the vendors they recommend.

Now they’re telling clients that readiness matters more than technology.

They see the gap in everyone else. Do they see it in their own model?


Hansen Fit Score™ — Measuring what matters: implementation success, not capability theater.


Access the Gartner Consolidated Assessment Report →

As the originator of the agent-based Metaprise framework and Strand Commonality in procurement, I examine how closely Gartner’s use of “readiness” aligns with what these terms actually mean — and what that proximity (or distance) means for the industry.


See also: Dangerous Supply Chain Myths Series (2007–2024) — the 18-year archive documenting why technology-first approaches fail.

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Posted in: Commentary