In this blog post, I touch on topics I will cover in depth in Win the War for AI Talent, currently scheduled for publication on June 27, 2022. Most large enterprises begin their AI transformation by hiring a few data scientists to build prototype models. The AI leaders quickly realize they need to make many other foundational changes to realize the company's AI vision. The big, obvious changes might be building an MLOps infrastructure and creating a new ML governance model. On top of those changes, they also need to handle the million little details and challenges that surface every day.

According to a Brookings Institution report, "Automation and Artificial Intelligence: How machines are affecting people and places," roughly 25 percent of U.S. jobs are at a high risk of automation. Among the most vulnerable jobs are those with routine physical and cognitive tasks such as office administration, production, transportation and food preparation. The jobs that are the least vulnerable to automation are generally classified as abstract and manual occupations -- "those that involve tasks that are … difficult to codify or take place in physical environments that are difficult to control." According to the report, "abstract roles -- typically in management, technology or finance -- tend to require more formal education and skills such as creativity, persuasion, intuition and problem solving." The report predicts what automation does not replace, it will complement -- as will be the case with many technology workers.