Proof Point
Machine-automated tasks in workplaces expected by World Economic Forum (WEF) to increase from 2018 to 2022, led by information processing and acquisition
Percentage of Work Hours Performed by Machines
2018 – 2022F (percentage)
| Note: | Data from WEF’s 2018 Future of Jobs survey of 313 companies across Argentina, Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Mexico, Philippines, Russian Federation, Singapore, South Africa, Republic of Korea, Switzerland, Thailand, United Kingdom, United States and Vietnam |
Proof Point Findings
- Data Process Automation – Percentage of machine work in information and data processing tasks in companies forecasted by WEF to increase from 47% in 2018 to 62% in 2022, while looking for job-related information expected to rise from 36% to 55% in same years
- Other Highly Automated Tasks – More than 40% of working hours in performing complex and technical activities (46%), evaluating work information (46%), performing manual activities (44%) and administering (44%) can be performed by machines by 2022
- Lower Automation Levels – Communication, interaction and cognition expected to be less affected by automation compared to physical tasks from 2018 to 2022
- Key Growth Drivers – Include exponential advances and drop in cost of core technologies (e.g. computing power, artificial intelligence, and network connectivity, growing demand for business process automation to increase productivity and efficiency, and intensifying competitive environment
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Accelerator |
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Market Disruption |
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Business Model and Practices Business Model |
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Sector |
Cross-sector
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Function |
Cross-Function
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Source |
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Date Last Updated |
March 22, 2019
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