“85% of jobs that will exist in 2030 haven’t been invented yet” say the Institute for the Future (IFTF), that compiled a report along with a panel of tech, business and academic experts from around the world.Emerging technologies, such as robotics, artificial intelligence, machine learning, virtual and augmented reality and cloud computing, are predicted to transform how we live and work over the coming decades. At the same time, as technology evolves, some jobs may be at risk of becoming obsolete. A study called The Future of Employment by Oxford University found that roles such as Telemarketer, Loan Officer, Cashier, Paralegal Assistant, Taxi Driver and Fast Food Cook - jobs that are routine or repetitive - are at most risk of being automated. But it’s not all doom and gloom. A recent study looked at data from the world’s largest job site, Indeed, which has over 200 million visitors each month. It analysed which skills are most in-demand to try and establish which jobs will still exist in the future, regardless of how much the world and technology changes.
- Chef – people will always want to go out for dinner and the skills and creativity it takes to work as a chef just can’t be replicated by a robot
- Marketing, communications and design – humans are great at critical thinking and coming up with new ideas, two qualities which are vital for this industry and which cannot be automated
- Healthcare – although some aspects of healthcare could be automated, there are some that just can’t, such as human interaction. The empathy, and the interpersonal and communications skills it takes to be a nurse are unique to humans.
- Education and training – as technology advances and industries change, the workforce will need to constantly learn new skills in order to stay ahead. As we move towards a culture of lifelong learning, teachers will become all the more valuable.
- Human Resources – like the healthcare industry, some aspects of human resources are becoming increasingly taken over by automation – such as candidate screening. However, the soft skills required in this industry, such as emotional intelligence and the ability to read people, just can’t be done by a machine
- Data Scientist – although a lot of data science is about complicated algorithms and code, the real key to data science is all about finding stories and patterns in all that data, which data scientists are skilled at doing.