Most organizations approaching AI for content or localization are focused on the wrong question. They're asking how to reduce effort — and missing the more important question of where value goes once effort is no longer the measure. This panel with CSA Research, The Content Wrangler, and RWS examines that shift and what it requires of content architects, localization professionals, and the decision-makers they report to.

Most content teams have someone who ends up responsible for driving change — not because they volunteered, but because the work demanded it. In this conversation with Dawn Stevens on The Content Wrangler, I talk through what it actually takes to step into that role: how to know yourself well enough to contribute, how to ask the questions that surface real resistance, and why the age of effort is over.

A chronological look at DITA's 20-year history — from early XML experiments to DITA 2.0's machine-interpretable knowledge model — told through the lens of one practitioner's career.

A practitioner-driven walkthrough of how design and information architecture must work together — not in sequence, not in silos — to build content experiences that hold up in the real world.