how long can we maintain the wall separating the department of biology from the departments of law and political science? - Yuval Noah Harari

Humans have this remarkable ability to know and not to know at the same time. Or more correctly, they can know something when they really think about it, but most of the time they don’t think about it, so they don’t know it. If you really focus, you realise that money is fiction. But usually you don’t focus. If you are asked about it, you know that football is a human invention. But in the heat of the match, nobody asks you about it. If you devote the time and energy, you can discover that nations are elaborate yarns. But in the midst of a war you don’t have the time and energy. If you demand the ultimate truth, you realise that the story of Adam and Eve is a myth. But how often do you demand the ultimate truth?

If you were an eighteen-year-old youth in a small village 5,000 years ago you’d probably think you were good-looking because there were only fifty other men in your village and most of them were either old, scarred and wrinkled, or still little kids. But if you are a teenager today you are a lot more likely to feel inadequate. Even if the other guys at school are an ugly lot, you don’t measure yourself against them but against the movie stars, athletes and supermodels you see all day on television, Facebook and giant billboards.

Of course, by 2033 many new professions are likely to appear, for example, virtual-world designers. But such professions will probably require much more creativity and flexibility than current run-of-the-mill jobs, and it is unclear whether forty-year-old cashiers or insurance agents will be able to reinvent themselves as virtual-world designers (try to imagine a virtual world created by an insurance agent!). And even if they do so, the pace of progress is such that within another decade they might have to reinvent themselves yet again. After all, algorithms might well outperform humans in designing virtual worlds too. The crucial problem isn’t creating new jobs. The crucial problem is creating new jobs that humans perform better than algorithms.