Skill Shift: Automation an the Future of the Workforce
This report examines the impact of automation and artificial intelligence (AI) on workforce skills and how organizations can adapt to these changes.
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| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: | McKinsey & Company |
| Authors: | Amresh Subramaniam, Anna Wiesinger, Eric Hazan, Peter Dahlström, Susan Lund, Jacques Bughin |
| Geographic focus: | Global |
| Page count: | 84 pages |
Methods
The research method involved mapping 25 workforce skills to individual work tasks, quantifying skill shifts using an employment model, and conducting a survey among business leaders to understand the impact of automation and AI on organizations and skills.
(Generated with the help of GPT-4)
Key Insights
Automation and AI are transforming the workforce, necessitating a shift in skills. This report analyzes the changing demand for workforce skills within the context of automation and AI, and proposes ways organizations can adapt. It quantifies the time spent on 25 core workplace skills today and in the future, focusing on five sectors: banking and insurance, energy and mining, healthcare, manufacturing, and retail. Key findings include a surge in demand for technological skills, a rise in social and emotional skills, and a decline in physical and manual skills. The report also discusses organizational changes needed to stay competitive, the role of continuous learning, and the importance of cross-functional and team-based work.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2018 | English publication language | Global geographic scope | artificial intelligence | automation | continuous learning | digital economy | economy | education | employment | employment trends | industry | innovation | labour market | organizational change | resources | retraining | skill shifts | team-based work | technological disruption | technology | workforce skills