But while it conveys change to the jobs market, its implications for higher education and society are paramount. If careers are changing, then it stands to reason that higher education needs to change along with it. Higher education finds itself at the very front of one of the most significant workplace shifts this century, and how it interprets and responds to that change to ensure everybody benefits will have a considerable impact not only on the global flow of students but the whole of society. As tomorrowland approaches, international educators should realise how key the classroom will be. Welcome to the machine Self-driving cars are a typical example of the way artificial intelligence is starting to replace humans in the workforce, says UK-based futurist Calum Chace. Replacing professional drivers not only makes economic sense – a driver can account for up to a half of a vehicle's operational costs – but self-driving cars have proven themselves to be significantly safer than humans.

As we further consider how to train future lawyers for the Algorithmic Society and develop the quality of thinking, listening, relating, collaborating, and learning that will define smartness in this new age, law schools must reach beyond their storied walls. In law, we must got beyond talking about algorithmic implications to actually help shape algorithmic performance. We need lawyers and programmers to work together to create a sound "machine learning corpus." There's potential for an entirely new subfield to emerge if given the right support. With many law school attached to major research universities, it's a great place to start this cross-pollination and interdisciplinary work.