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  "description": "Most AI maturity models ask whether you've adopted specific technologies. Wrong question. What matters is whether your organization can scan for signals, experiment at speed, govern AI outputs, and prepare its workforce. Technology without these capabilities creates fragility.",
  "path": "/most-ai-maturity-models-miss-point/",
  "publishedAt": "2026-06-26T17:33:00.000Z",
  "site": "https://www.thedigitalspeaker.com",
  "tags": [
    "Dr. Mark van Rijmenam",
    "Intelligence Age Scorecard",
    "WAVE framework",
    "Now What? How to Ride the Tsunami of Change",
    "the WAVE framework",
    "take the Intelligence Age Scorecard"
  ],
  "textContent": "Most AI maturity models ask the wrong question. They measure whether you have adopted specific technologies: machine learning platforms, LLMs, generative AI tools. They score you on implementation. Did you install MLOps? Do you have a data lake? Are people using ChatGPT? But technology adoption predicts nothing about whether your organization will survive the intelligence age. What matters is organizational capability.\n\nAn organization with the most advanced AI platforms and no governance framework is fragile. An organization that scans for signals but cannot move at speed will watch competitors execute. An organization with strong execution and no workforce readiness will see adoption fail. Technology-adoption models miss all of this. They measure the shopping list, not the machinery.\n\nCapability models measure whether your organization can do four things: scan for signals before competitors, move from idea to live production in months not years, govern AI outputs before they affect customers, and enable your workforce to propose and execute across departments. These four capabilities predict survival. An organization strong in all four will navigate disruption. Imbalances predict failure modes.\n\nA strong scanning capability with weak execution creates the paralyzed visionary. You see what is coming. You cannot move fast enough to respond. A strong execution capability with weak governance creates regulatory risk. You ship fast and discover problems through customer harm. A strong workforce readiness with weak scanning means people are mobilized but directionless. Dr. Mark van Rijmenam finds that capability imbalances are more predictive of failure than any single weakness.\n\nThe Intelligence Age Scorecard measures capability, not adoption. It shows you where you are balanced and where the gaps are. Most important, it shows you which gap to fix first. That gap is usually the one constraining your other capabilities. Fix that one first, and the others accelerate.\n\n**Measure organizational capability, not adoption.** Visit https://www.thedigitalspeaker.com/intelligence-age-scorecard/\n\n* * *\n\n_About Dr. Mark van Rijmenam:_ Dr. Mark van Rijmenam is a world-leading strategic futurist and the creator of the Intelligence Age Scorecard, a diagnostic assessment built on the WAVE framework from his book Now What? How to Ride the Tsunami of Change. He helps Fortune 500 companies and governments navigate AI and emerging technologies across five continents.\n\n_This article was created with AI assistance and reflects_ the WAVE framework_methodology. For the full research-backed analysis,_ take the Intelligence Age Scorecard_._",
  "title": "Why Most AI Maturity Models Miss the Point",
  "updatedAt": "2026-06-29T13:27:54.210Z"
}