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AI could cause ‘99% unemployment by 2030’, warns computer science professor | Current Affairs | Vision IAS

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AI could cause ‘99% unemployment by 2030’, warns computer science professor

1 min read

Implications of Artificial General Intelligence (AGI) by 2027

Introduction and Predictions

Roman Yampolskiy, a computer science professor and AI safety expert, predicts the advent of AGI by 2027, which could lead to widespread job automation.

Potential Impacts on Employment

  • By 2027: 
    • Automation of tasks performed on computers.
  • By 2030: 
    • Humanoid robots might automate physical labor, leading to unprecedented unemployment levels, potentially reaching 99%.

Survival of Human Roles

Only roles requiring a human touch might survive this shift.

Common Misconceptions

  • Many professionals, including drivers and professors, underestimate AI's ability to replace their roles.

Broader Economic and Psychological Challenges

  • Economic: 
    • AI might produce "free wealth," enabling possibilities like universal basic income.
  • Psychological: 
    • Loss of jobs could lead to a loss of purpose and identity for many, creating existential challenges.

Conclusion

The world post-AGI will require significant adaptation both economically and socially, questioning what gives life meaning beyond work.

  • Tags :
  • Artificial General Intelligence
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