The artificial intelligence (AI) "strategic competition" with China is more intense than ever. To many, the stakes have never been higher -- who leads in AI will lead globally. At first glance, China appears to be well-positioned to take the lead when it comes to AI talent. China is actively integrating AI into every level of its education system, while the United States has yet to embrace AI education as a strategic priority. To maintain its competitive edge, the United States must adopt AI education and workforce policies that are targeted and coordinated.

Founder and CEO at Fusemachines, Adjunct Associate Professor at Columbia University -- on a mission to democratize Artificial Intelligence. Artificial Intelligence (AI) is a complex subject, inspiring awe in some and concern from others. This complexity makes the job of instituting AI training programs in underserved areas, where knowledge of the subject is usually far and few between, a hefty undertaking. In my last two articles, I covered the need to bring AI training to underserved America and outlined the types of training that would be beneficial. In this article, I will share a step-by-step approach for establishing training in underserved markets by breaking down the audience group into education, business and government.