Successful advancements of technology often raise the question about the future of work and how the next generation and existing workforce will be trained to compete with such fast-growing machines. But most experts believe that such technologies will expand the scope for technical jobs and also make them much more accessible for people without years of training. It is also believed that data science is going to follow a similar path of easing out work for untrained professionals. For example, if at present you want to be a machine learning engineer, a decent amount of python or other programming language knowledge along with skills to construct neural networks manually would be sufficient. Although some programming packages do come with the feature which makes it easier to make machine learning models, it's still crucial to understand a variety of underline computer science which usually takes quite a bit of training.

One of the big questions about the future of work is how we will train people to take on some of the fastest growing technical jobs in the economy. After all, occupations such as Data Science are incredibly complex and can require years of formal statistical and programming training, which is a big change from the kinds of occupations likely to be automated (such as trucking or retail sales). But I think that technology not only will expand technical jobs but also make them much more accessible for people without training. As an example, being a taxi driver used to be an incredibly knowledge intensive task with the driver test in London famously requiring drivers to know extraordinary detail about the city's layout. But, thanks to GPS apps, all drivers have to know is how to take directions from a voiceover and follow algorithmically routed directions. I think data science is going to follow a similar path.