5 jobs for 2030 | the future of work

85% of the jobs that today’s learners will be doing in 2030 have not yet been invented.

Like the internet has done over the past few decades, emerging technologies such as AI, machine learning and cloud computing will become a part of our everyday working lives. Through these technological advances, we will see thousands of new and exciting jobs appearing.

In this blog we will be taking a look at some of the more outlandish (however still plausible) jobs that companies have predicted will be around in the not so distant future:

 

AR Journey Builder

Why travel the physical world when you can experience virtually anything through augmented reality? AR journey builders will collaborate with engineering experts and technical artists to create virtual worlds for customers to explore. Customers will be able to experience different time periods, locations and characters, as well as deep dive into their favourite games, film genres or sports teams. The realm of opportunities won’t stop there as accomplished AR journey builders will also be able to compose their own imaginative experiences.

The ideal candidate will preferably have a degree from an accredited film school and significant experience in 3D design development and competitive gaming.

 

Space Nurse

If Richard Branson succeeds in flying tourists to space in 2020 the demand for Space Nurses will reach peak levels by 2030. Our bodies are simply not designed for a zero-gravity environment so frequent space fliers may need to be treated for conditions such as muscle wasting and exposure to space radiation.

To become an aerospace nurse you will, of course, need to be a registered nurse and ideally have experience providing hospital-level care in either a helicopter, plane or spacecraft.

 

Human-machine teaming manager

This job role will be vital in ensuring humans and robots work together in harmony. The human-machine teaming manager will, ‘help combine the strengths of robots/AI software (accuracy, endurance, computation, speed, etc.) with the strengths of humans (cognition, judgment, empathy, versatility, etc.) in a joint environment for common business goals,’ according to multinational IT services provider, Cognizant.

Requirements include considerable experience in human neuroscience, human-robot interaction and machine learning.


Self-driving car mechanic

Many car companies including Volvo, Waymo and Ford are all busy developing autonomous cars. But what will happen when these become a reality? Like your standard human-driven cars these vehicles will inevitably require a trip to the garage.

Self-driving car mechanics will require experience and knowledge in traditional car mechanics as well as an understanding of cutting-edge technology.

 

Drone highway controller

Drones have made an unprecedented impact on a range of sectors over the last decade, and there doesn’t seem to be any signs of this stopping. These unmanned aerial vehicles are used in film production, war combat, high-level security and it won’t be long until they’re delivering our Amazon packages. By 2030 drones will swarm the sky, but without preset flight paths, there is a danger of potential collisions with traditional aircraft as well as other drones. It will be the drone highway controller’s responsibility to monitor automated road and airspace management systems to ensure no errors occur that could endanger life or property.

For this role a degree is not required however a BA/BSc in either computer science, maths or physics is advantageous. No prior experience is required as all highway controllers will undertake a 3-month training course.

 

These 5 job roles are just some of the 21 million brand new jobs companies are confident will be created over the next couple of decades. Which specific jobs will be most in demand is yet to become clear, however, we don’t need a crystal ball to predict that human-machine partnerships will become commonplace in the world of work. As Jordan Howard, Social Good Strategist and Executive, Director of GenYNot, states, ‘if we engage in the hard work of empowering human-machine partnerships to succeed, their impact on society will enrich us all.’

 

 

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