Let’s face it, AI job disruption is underway
A few years ago I had written an article about how technology is literally obliterating jobs and how to skill yourself up for this new economy. In this article I want to provide you with a renewed peek into what I believe is the road to success, should you want to be part of the artificial intelligence economy – which some are equating to the revolution nearly 120 years ago with electricity.
But first, let’s take a look at what digital disruption or the increased pervasiveness of new technology is doing to the job market. Last year, AP (Associated Press) ran a 3-part big story on “Technology and permanent job destruction,” very real and a very chilling narrative of what is happening in the job market right now. We have never witnessed at jobless economic recovery ever!
Most of the jobs will never return, and millions more are likely to vanish as well, say experts who study the labor market. What’s more, these jobs aren’t just being lost to China and other developing countries, and they aren’t just factory work. Increasingly, jobs are disappearing in the service sector, home to two-thirds of all workers.
They’re being obliterated by technology.
The research note is informative, it subtly glorifies great technologies while carrying a chilling undertone that you might be next on the line to lose your job! It scares you (and me) for sure. It, however, doesn’t tell you how you should prepare yourself for it.
I will attempt to put things in perspective by using my experience with digital and emerging technologies from the past 20 odd years and also suggest where you should look. So please stay with me, even if you have never worked in the technology area because this could really change the way you look at this unapproachable hi-tech market.
You can be part of it!
I am very enthusiastic about digital technologies and I write quite frequently on Linkedin about how the internet is changing the way we work and how it will help us all to focus on productivity and creativity by using technologies such as cloud computing, social, mobile and big data analytics.