Bringing generative AI into a business or even public sector organization is consuming the minds of leaders around the world, some approaching the topic with a positive outlook and some with caution. Boosting productivity across all teams Hands-on experienceAI learning can be accelerated by applying it practically. When you work with AI, you gain an understanding of the ways in which it can be applied and of the ways in which it cannot yet be applied or might not ever be applied. Hands-on experience with AI leads to a more profound comprehension of the technology and its potential. Staying with the technology, in whatever form it currently takes, is vital to maintaining a necessary foundation.We can develop our expertise in AI by competing in contests, working in interactive learning spaces, and by all sorts of meaningful event organizing that serves to introduce ASU to the kinds of things we’re up to with AI. How is this happening? Work is happening at the level of individual students who are experimenting with the kinds of platforms that integrate AI into productivity tasks such as data visualization or customer support.Direct engagement with AI technologies and nurturing a culture of continuous learning around these technologies enable individuals and organizations to gain a much clearer understanding of the capabilities and limitations of AI. And this is not just preparation for today; it is quite literally preparation for the future.