For example, international researchers have noted agriculture has been a slow adopter of AI. By contrast, colleagues and I have found AI is being rapidly implemented in media and communications, already affecting jobs from advertising to the entertainment industries. Here we are seeing storyboard illustrators, copywriters and virtual effects artists (among others) increasingly being replaced by AI. So, students need to look carefully at the specific data about their chosen industry (or industries) to understand the current situation and predicted trends. To do this, you can look at academic research about AI's impacts on industries around the world, as well as industry news portals and free industry newsletters. Students can also obviously build their knowledge and skills about AI while they are studying. Specifically, students should look to move from "AI literacy" to "AI fluency." This means understanding not just how AI works in an industry, but also how it can be used innovatively in different contexts. If these elements are not already offered by your course, you can look at online guides and specific courses offered by universities.
