March 23, 2017
The digital revolution is polarising the labour market and increasing wage inequality 0
The increasing ability of machines to perform cognitive, physical, and social tasks has polarised labour markets by “hollowing out” demand for middle-skill jobs, claims a new report published by IZA World of Labor based on research from economist Michael Gibbs of Chicago Booth School of Business. It suggests that analytical, problem solving, and social and communication skills are likely to be most valued in employees in the future. The new report finds that the advance of technology has opposing effects on jobs. It facilitates automation, creating fewer and less motivating middle-skill jobs. Conversely, it complements social and innovation tasks, creating more interesting low- and high-skill jobs. This causes labour market polarisation, “hollowing out” demand for middle-skill jobs, and increasing wage inequality.














Very few organisations are ready to manage a workforce where the latest technologies and people work side by side. Just 13 percent of UK companies are ready to respond to digital disruption and create “the organisation of the future”; despite 88 per cent believing this has become a priority. This is according to the 2017 Deloitte Global Human Capital Trends survey, which tracks the top trends shaping the agenda for HR and business leaders. However, while UK companies believe they are ill-prepared for the change brought by digital disruption, this has not stopped many of them from embracing disruptive technologies. 42 per cent report that they have adopted robotics, cognitive and artificial intelligence (AI) technologies within all or parts of their workforce. Another 42 per cent are running pilots in certain areas of their organisation. But only 16 per cent say they are ready to manage a workforce with people, robots and AI working side by side.








Employees would like more freedom and flexibility at work with over half believing that the structure and culture of their workplaces are holding them back from doing their job more effectively (55 percent and 53 percent respectively). That’s according to new research from ILM, which has launched a new 


