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Leaders and companies everywhere recognize the transformative potential that AI holds for their business — but very few of them have a systematic plan for how to experiment with and adopt AI at scale. In this article, John Winsor offers one, based on the successful work that he and Jin Paik have done in recent years helping companies experiment with and adopt digital-talent platforms at scale. Winsor lays out a simple five-step plan — assess, learn, experiment, build, scale — that can help companies get serious about adopting AI.
AI is no longer a future promise — it’s here, embedded in everything from customer service to coding and marketing. Employees across industries are already using tools like ChatGPT, Claude, and GitHub Copilot to gain productivity advantages, with some sectors reporting up to a 25% increase in output. Yet despite these individual successes, most companies are still struggling to translate AI’s benefits into meaningful organizational change.
