Most organizations measure AI adoption by who attended training and how many licenses got activated. That's not adoption — that's logistics.
In this episode of #shifthappens, Dr. Samson Tan, Chief AI Officer at the Institute for Adult Learning (IAL) Singapore, explains why most enterprise AI upskilling fails: leaders confuse attendance with adoption, and access with application. He argues that learning design, not tools or workshops, is the engine that moves AI from abstract concept to daily practice.
Drawing from IAL's work with curriculum designers and adult educators, Samson breaks down how learning design embeds AI into real workflows, why "Tech Thursdays" outperform generic courses, and how leaders can replace fear with confidence through psychological safety, innovation sandboxes, and protected professional judgment. He also reframes what enterprises should measure to know adoption is real: not prompts and logins, but reasoning, iteration, and assisted performance.
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