Digital Leaders Blog

employment (2)

A recent McKinsey podcast examined how technology has affected employment and incomes in manufacturing and other sectors and whether automation could widen the gap between high- and low-income jobs.

Automation could reduce workers’ wages, further widen the gap between rich and the poor. Smart policies will be required to prevent unemployment and wage friction in the future.

Click the image below to be taken to the podcast page.

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Artificial intelligence and robotics are disrupting every aspect of work and redefining productivity. The old ways of working, assessing capabilities, hiring and compensation, are undergoing a massive change.

A recent Knowledge@Wharton conversation discussed what this means for individuals, organizations and countries. Managerial jobs and tasks that are repetitive in nature will be displaced and the ability to learn new skills will be critical for individuals who want to stay relevant. Companies will need to devise new ways of training and assessing the skills of employees while countries must develop a learning ecosystem.

“Work will be more contractual in nature and deep technical skills, creativity and learnability will be at a premium.”

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