Use The Bots
McKinsey believes jobs commanding total wages of $15 Trillion have significant automatable components. While low-skill, predictable, physical jobs are the obvious targets for robots, knowledge workers who act in routine ways must not be complacent. Clearly, it seems easier to build a report analyst software than a sugarcane-harvesting robot (although the latter has been done by significantly standardizing the field layouts and crop heights). The refuge McKinsey offer: find jobs with larger components of Customer Interface, Expertise, and Management.
However...
Interfacing is required less and less by younger customers. Expertise is being achieved by automata in multiple fields, for example, law and medicine. Management by SPARSE anecdata (case studies => gut feel) could really be an inhibitor to improvement. As Kasparov observes (via, Vivek Wadhwa)
“It used to be that young players might acquire the style of their early coaches. … What happens when the early influential coach is a computer? The machine doesn’t care about style or patterns or hundreds of years of established theory... It is entirely free of prejudice and doctrine. … The heavy use of computers for practice and analysis has contributed to the development of a generation of players who are almost as free of dogma as the machines with which they train.â€
What's a bright, ambitious, young professional to do when starting out a career - clearly, one answer is to learn AI. The other is to use the new capabilities AI brings to the table and progress with those.