Robots could take over 800 million jobs worldwide by 2030

Job opportunities over the next 10-15 years are looking great — if you're a robot.

Automation and robots could take over up to 20 percent of the entire global workforce by 2030, Bloomberg News reported, and that would be equal to 800 million jobs worldwide. The figure comes from a report by a research division of McKinsey & Company and covers more than 800 occupations in 46 nations.

Is my job at risk?

For some companies, robots are seen as the answer to increasing pressures to cut costs.

Cashier and toll booth operators are likely to be among the first jobs to be taken over by robots. This trend is already evident with the use of self-checkouts and toll tags. Fast-food jobs are also on the line, as touch screens eliminate the need for order takers.

Even some jobs that have traditionally required a human element appear to be at risk. For example, robot caregivers and automated trucks are both already on the horizon. Elderly people in particular could face the prospect of having a robot caregiver. Japan is already using robots "rather than relaxing its immigration laws to allow more human caregivers into the country," Fortune magazine reported.  And automated trucks could also replace up to 1.7 million truckers.

Even jobs on Wall Street are not immune. Computers are able to analyze complex financial statements in minutes.

Whose jobs will be secure?

So, what jobs are safe? It appears nurses and physicians won't be replaced by robots anytime soon. These jobs require expertise and a human touch robots can't quite match.

And anyone who's a whiz at coding will be first in line for jobs to help build and maintain this new robot army of workers, according to Autodesk CEO Andrew Anagnost.

This is viewed by some as the reason behind the current push to teach coding in schools. About 40 percent of schools in the U.S. are offering coding classes, an increase of about 25 percent over the past few years, a 2016 Gallup report found.

However, Bloomberg reports that some computers can be coded to teach themselves.