Extreme Automation in 2019 and Beyond
Industry specialists are being replaced by automation experts at rapid speed--at least, that’s the picture studies are painting. While people have been fearful for years now that automation will one day replace the entire workforce, it’s only recently that this reality has begun to take shape.
Although not everyone is at risk of being made redundant by a “robot” counterpart, it seems that extreme automation really is a risk that we should be taking a closer look at.
Our robot servants
One study claims that IoT (Internet of Things) developments like personal assistance already pose a risk to 50% of the United States’ current jobs. That’s a dangerous number and, upon closer inspection, it looks like things only get spookier.
Developments that are powered by Artificial Intelligence, Machine Learning, and all the other tech that has achieved the official buzz word status are becoming more and more ingrained into people’s daily routines, and (more importantly) the routines of businesses.
Alexa is one of the primary culprits, quickly becoming a mainstay in millions of homes around the world. This extreme wave of automation is moving the market away from specialists who perform a specific task to experts who can automate it instead.
But, what does that mean for the job market? When it comes to things like data collection and analysis, automation can be a business’ best friend. At the end of the day, professionals agree that changes are upon us but, just as we have before, the markets should adapt.
Shift from practical to technical know-how
Circumstance monitoring, data logging, logistics, and countless other standard business tasks are expected to be standard automation tasks in the coming years. It shows in our daily conversations with our customers and partners: more people plan on how to make our service automated along with their own processes.
For businesses, that means money saved while boosting efficiency. For workers, that means a shift from practical know-how to technical know-how may be essential for survival in Industry 4.0 and beyond.