Proof Point
Continuous learning top expected organizational structure change as a result of adopting automation and AI technologies, according to global business leaders surveyed by McKinsey Global Institute
Expected Organizational Structure Change as a Result of Adopting Automation and AI Technologies
May 2018 (percentage)
| Note: | Data from McKinsey Global Institute’s workforce skills executive survey of 3,031 business leaders in Canada, France, Germany, Italy, Spain, United Kingdom and United States last March 2018 |
Proof Point Findings
- Lifelong Learning Programs – 27% of business leaders surveyed by McKinsey Global Institute see the need for workforce to undergo continuous learning and skills development through their working lives to adapt to the changes brought about by the integration of automation and AI technologies in the workplace
- Organizational Restructuring – Some respondents also think that organizational restructuring would have to be made, potentially creating new business units (24%) and creating a more agile, dynamic environment (21%)
- Increased Collaboration – Other respondents also think that adoption of automation and AI technologies in the workplace would give employees more opportunities for cross-functional collaboration (23%) and team-based work (19%)
- Key Growth Drivers – Include increasingly shifting work requirements, heightening demand for up-to-date and highly-specialized skills and rapidly-accelerating artificial intelligence and automation technologies
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Cross-sector
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Date Last Updated |
February 4, 2019
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