Automation And AI Could Wipe Out Almost Half Of All Jobs
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In 20 Years Automation And AI Could Wipe Out Almost Half Of All Jobs

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Automation could cause nearly half of all jobs to be dramatically altered or wiped out completely in the next 20 years, according to the Organization for Economic Co-operation and Development (OECD). The rapid pace of workplace change will force governments to act decisively or face heightened social and economic tensions with young, low-skilled and gig-economy workers the most vulnerable. Some high-skilled workers may also benefit as technology will increase productivity and open new areas of opportunity.

Impact Of Automation & AI On Jobs

Bloomberg reported that 14% of jobs mean almost half of all current jobs could be wiped out within 20 years. This follows the latest OECD report – and whilst their take may be on the high end – there is no doubt that the structure and composition of the global labor force will face significant change over the coming years. We often hear about expected job losses stemming from greater automation with the most-used example being truck drivers losing out to autonomous vehicles.

But the impact will likely go much beyond this and will likely disproportionately affect the least-skilled workers (who likely have the least education) in the economy first. We need more institutions and support for vocational courses that allow individuals to re-train.

Not only is this needed from a societal perspective, but we also need to train individuals to work with new technologies – otherwise the advancements these can bring won’t be fully realized.

Beyond this, we need these programmes to allow individuals to realize their full potential. What your background is in life shouldn’t affect your aspirations – and to this end, the change that automation will bring could be the impetus we need to reduce the opportunity disparity existent in the world today. Which aims to contribute to a positive future of work transition, transforming learning and social protection systems as well as reducing inequalities between people and across regions.

Digital transformation, globalization, and demographic changes have already been reshaping the world of work. Looking ahead, 14% of existing jobs could disappear as a result of automation, another 32% set to change radically. A major overhaul of adult learning programmes to increase their coverage and promote quality is needed to harness the benefits of the changing world of work.

Percentage  of jobs which are at high risk of automation (OECD 2019 Employment Outlook)

Slovakia: 33.6

 Slovenia: 25.7

Greece: 23.4

Chile: 21.6

Poland: 19.8

 Germany: 18.4

France: 16.4

Turkey: 16.4

Japan: 15.1

UK: 11.7

Netherlands: 11.4

Korea: 10.4

US: 10.2

Sweden: 8

Finland: 7.2

Norway: 5.7

A key issue for local government is how we are going to support staff to gain the skills they will need to transition to different roles as automation, robotics and AI take over routine and systemic functions. Another key challenge for regional local government is to support full-time workers. The casualization of the workforce affects regional growth and prosperity. You can’t get a bank loan or pay a mortgage as a casual worker.

Anything that is dictated by digital transformation won’t mean a reduction in staffing requirements in the present terms, it will mean a requirement of up skill and new talent being brought into these areas to implement changes. Proficiency building into effectiveness and streamline processes. So employers have a skill gap but unsure how what they can use to bridge these and future proof themselves. Great message!!

Types of Automation Tools

  • ANN – Artificial Neural Network
  • DCS – Distributed Control System
  • HMI – Human Machine Interface
  • SCADA – Supervisory Control and Data Acquisition
  • PLC – Programmable Logic Controller
  • Instrumentation
  • Motion control
  • Robotics

Civil Engineering Technical Questions and Answers-eBOOK

Recent And Emerging Applications In Automation

  • Automated power production
  • Automated retail
  • Automated mining
  • Automated video surveillance
  • Automated highway systems
  • Automated waste management
  • Business process automation
  • Home automation
  • Laboratory automation
  • Logistics automation
  • Industrial automation
  • Industrial Robotics
  • Programmable Logic Controllers
  • Agent-assisted automation

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References

https://www.oecd.org/employment/outlook/

https://www.linkedin.com/

https://en.wikipedia.org/wiki/Automation

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