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The 7 new Cs of IT leadership for the AI era

The shelf life of IT expertise just got shorter. Here's how CIOs are staying relevant as AI compresses every decision cycle.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

AI is forcing IT leaders to make faster, higher-stakes decisions with less information. This is a framework for how leaders can build the adaptive muscles—coherence, currency, conviction, courage—to lead through compression, not just survive it.

The key facts

12 to know
  1. CIOs cite 'extraordinarily short half-life' of IT professional skillsets (J&J CIO Swanson)

  2. Decision-making cycles compressing across technology, strategy, transformation, and operations

  3. Framework: 7 Cs of AI-era leadership—Coherence, Communication, Currency, Confidence, Conviction, Courage, Change

  4. Fear of incompetence and uncertain playbooks cited as primary adoption barriers, not resistance to change

  5. Proximity to business operations (field observation, workflow study) now critical for AI transformation decisions

  6. Speed-to-conviction identified as competitive advantage; startups reaching decisions faster than enterprises still analyzing

  7. 7 new leadership competencies: Coherence, Communication, Currency, Confidence, Conviction, Courage, Change

  8. Leadership environment characterized by compression: shorter strategy cycles, faster decision cycles, shortened expertise half-life

  9. Emphasis on adaptive quotient (AQ) as differentiator alongside IQ and EQ

  10. Currency defined as continuous learning plus proximity to business/frontline work

  11. Conviction as competitive advantage: 'speed to conviction' shortens decision latency vs. analysis paralysis

  12. Examples from named CIOs: BNY (Leigh-Ann Russell), J&J (Jim Swanson), Liberty Mutual (Monica Caldas), Cox Auto (Marianne Johnson), GSK (Shobie Ramakrishnan), Cardinal Health (Michelle Greene)

Go to the source

CIOcio.com

Publisher excerpt: AI is accelerating the pace of change, shortening the shelf life of expertise, reshaping operating models, and compressing the time IT leaders have to learn, decide, and act. As a result, IT leaders are increasingly forced to make consequential decisions faster, often with less information, greater…
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