If you are a developer/engineer the transition will be easier if you build start building new skills in these areas now. I would highly recommend reading Software 2.0 by Andrej Karpathy which details some fundamental shifts in how the software will be written. Ability to write code is somewhat of a superpower in the era of AI. For starters, I would focus on learning Python and quickly move into data science. Fortunately today there are many free resources out there to learn and study from.

Recently, I sat down with Stephen Wu, a shareholder at Silicon Valley Law Group, and Peter Gillespie, a partner at Laner Muchin, to talk about one of the newest ways AI is being deployed: as a way to intelligently forecast risk and measure the development performance of software organizations. This new method of using AI can give software companies a new level of understanding of their software delivery pipeline's performance. But should you use an AI system to judge the performance of people? We discussed the ethics behind this new use of technology and what it holds for the future of performance management and software development. Here's what your team needs to understand about using AI for HR related decisions on software teams.

AI has caught the imagination of millions of people across the planet. Thus, there is a lot of hype. There is also a lot of hope, and along with it come some expectations, that will at least, for the foreseeable future, be termed unreasonable. This in turn leads some people to think that unless they have a huge factory, spinning out thousands of products on an unending cycle, AI may be the equivalent of a nuclear weapon charged to engage in pest control. This is only a myth.

Think about your typical day. Your phone alarm wakes you up (maybe after hitting snooze a couple of times), you check the weather as your coffee is brewing, and you get traffic alerts about your commute to work. How many times do you think artificial intelligence (AI) is a part of your day? It's definitely more often than you think. During a conversation with President Barack Obama, technologist Joi Ito, director of the MIT Media Lab, predicted that 2016 would be the "year artificial intelligence becomes more than just a computer science problem." In 2016, AI's fast progress led to acquisition deals topping $1 billion, and the White House released its first report on artificial intelligence and the economy.