Artificial Intelligence Driving Workforce To Data-Driven Skill Sets

The structural shift in the labour market can be attributed to the technological displacement of mid-skilled jobs. Data illustrates that employment growth has been greatest at the extreme ends of the spectrum (top and bottom 20 percent) whilst in-between there has been a decline, resulting in a hollowing out of jobs for the middle-tier workforce – becoming known as the'automation paradox'. According to a 2018 report by World Economic Forum, machines and algorithms in the workplace are expected to create 133 million new roles but cause 75 million jobs to be displaced by 2020. The opportunity to be had for businesses leading the charge with AI is reshaping the existing workforce to develop more data-driven skill sets and deploying talent that can engage with automated ways of working. As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration.