Enterprise Technology Leadership Journal — Spring 2026

The hardest part of AI adoption isn't the technology. It's the organizational, human, and governance challenges that accelerating capability exposes. The Spring 2026 Enterprise Technology Leadership Journal brings together five papers from IT Revolution authors and past Enterprise Technology Leadership Summit presenters who are working these problems in real enterprises. Whether you're navigating workforce disruption, trying to scale AI into safety-critical systems, or watching governance become your biggest delivery constraint, this issue offers practical frameworks and hard-won perspective from practitioners who've been there.

Pages
148
Publication Date
May 18, 2026
Topics
AI · Leadership
Formats
epub · pdf
License
Creative Commons BY-NC-SA

In this issue

  1. 7
  2. 33
  3. The Macro and Micros of Helping Humans Through Rapid AI Advancement

    Melissa M. Reeve (Hyperadaptive Solutions), Christine Hudson (Mnfst AI) & Brian Scott (Adobe)

    72
  4. Signals and Levers: How to CREATE Real Change

    Elisabeth Hendrickson (Curious Duck) & Joel Tosi (Dojo & Co.)

    108
  5. 123

About the author

IT Revolution

Trusted by technology leaders worldwide. Since publishing The Phoenix Project in 2013, and launching DevOps Enterprise Summit in 2014, we’ve been assembling guidance from industry experts and top practitioners.

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