Are robots taking our jobs?
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Questions and Answers

What is the predicted number of industrial robots that China may have by 2030?

  • 14 million (correct)
  • 12 million
  • 10 million
  • 16 million
  • How much GDP could a 30% rise in automation worldwide create?

  • $6 trillion
  • $3 trillion
  • $4 trillion
  • $5 trillion (correct)
  • Which type of jobs are more likely to continue to be carried out by humans?

  • Socially intelligent jobs
  • Compassionate jobs (correct)
  • Creative jobs
  • Repetitive jobs
  • Study Notes

    • Up to 20 million manufacturing jobs could be replaced by robots by 2030, according to Oxford Economics.
    • People displaced from these jobs may find that comparable roles in the services sector have also been squeezed by automation.
    • Increasing automation will also boost jobs and economic growth.
    • Each new industrial robot wipes out 1.6 manufacturing jobs, with the least-skilled regions being more affected.
    • Workers who move out of manufacturing tend to get new jobs in transport, construction, maintenance, and office work, which are also vulnerable to automation.
    • Robots will have the most impact in manufacturing, particularly in China where armies of workers could be replaced by machines.
    • The more repetitive the job, the greater the risk of being replaced by robots.
    • Jobs which require more compassion, creativity or social intelligence are more likely to continue to be carried out by humans.
    • China is predicted to have the most manufacturing automation, with as many as 14 million industrial robots by 2030.
    • A 30% rise in automation worldwide could create $5 trillion in GDP.

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    Description

    Are you curious about the impact of automation on the job market? Take this quiz to test your knowledge of the latest trends and projections. From manufacturing to services, discover how robots are transforming the workplace and what this means for workers and economies worldwide. Learn about the potential benefits and challenges of automation, and explore which types of jobs are most likely to be taken over by machines. Don't miss this chance to become an expert on the future of work!

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