There is a myth out there that AI and robotics will displace jobs and we will have to live on Government income while figuring out creative ways to fill our days.
Of course, AI will take over parts of industry – and so it should. After all, for repetitive tasks, AI is much more efficient, and cheaper.
Across Asia Pacific, there is an aggressive hiring spree against a backdrop of increased job turnover. Australia, India and Japan are at the top of the hiring tree, increasing hiring activity by several percentage points. India is top at 18.4%, according to the quarterly Radford Global Technology Workforce Trends Report.
Further evidence that AI – with Deep Learning a focus – is actually fuelling this increase in hiring comes from sources such as Dun & Bradstreet. According to their 2019 report, 40% of respondents from Global 2000 organisations are adding jobs as a result of AI adoption.
Only eight percent of another survey said that they were eliminating jobs as a result of implementing AI.
Better still, according to the World Economic Forum’s (WEF) ‘Future of Jobs’ report, 133 million new jobs will be created by AI by 2022. And while the WEF believes that 75 million jobs will be lost as a result, this is half the number that will open up.
Deep learning and machine learning is the fastest growing area of expertise that is sought by companies, as AI itself is slowing slightly. The highest paying job title in the machine learning field – in the US – is US $142,858 (on average for top jobs).
The truth seems to be that, like other industrial revolutions before it, the AI revolution will reshape jobs rather than eliminate them. The trick will be to find jobs that AI cannot do, therefore something that is not repetitive or involves looking stuff up.
Ultimately, training as an engineer who specialises in AI, machine learning and its implementation seems to be the best option.