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Where Does Your Organization Stand on AI? A Benchmark of AI Maturity and Learning

AI Adoption amongst Incumbents and non-AI-Native organizations varies between those just getting started, to named ownership of internal tools. However, in a rapidly changing business environment, most organizations we studied are still trying to understand how best to govern, scale, and demonstrate the ROI on their investment in AI.
Join us for a 60-minute session built on original Degreed benchmark research into how organizations are deploying AI, how they operate it, and how they are learning their way into it. You will see where organizations actually fall on the AI maturity matrix, what the leaders do differently when it comes to upskilling and tooling, and the specific next move that gets you to the next level, wherever you are today.
What we will cover:
-Where organizations fall across AI deployment scope, operating model, and published ROI, and why naming AI leadership or deploying tools is no longer the differentiator
-How AI leaders learn differently, including why mature organizations treat AI as many distinct skill areas instead of one monolithic topic, and why they invest in every proficiency level
-The six building blocks of a just-in-time, skills-based organization, from learning triggers and skills graphs to personalized pathways, experience layer, content engine, and impact measurement, and how they feed an ROI data flywheel
-The practical “diagonal move” that takes you from your current stage to the next, such as starting with a single business unit instead of giving everyone AI at once


