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How Transformative AI Will Reshape Work and Business by 2045

September 25, 2025•Jakob Nielsen•Original Link•2 minutes
Artificial Intelligence
Future Of Work
Economic Transformation

Transformative AI is set to revolutionize the economy, dramatically increasing productivity and potentially eliminating most human jobs by 2045 according to new research.

New research from Stanford professor Erik Brynjolfsson and the National Bureau of Economic Research (NBOR) suggests that Transformative AI (TAI) will fundamentally reshape the economy by 2030-2033, potentially eliminating most human jobs by 2045.

A painting of a variety of tools

Key Findings:

  • 5x Productivity Growth: TAI is defined as increasing productivity at least 5x faster than pre-AI rates
  • Genii Shift: AI will push human workers to only tackle the most novel, challenging problems
  • 7.2 Million Vulnerable Workers: Administrative and clerical roles face highest displacement risk
  • Coasean Singularity: AI agents will dramatically reduce transaction costs, enabling 10-person firms to outperform today's 10,000-employee corporations

Economic Impacts:

  1. Workforce Displacement: Routine cognitive workers will be completely replaced by AI, with only "ultra-specialists" remaining employed
  2. Company Structures: Firms will shrink dramatically as AI handles most functions - a 10-person company in 2045 may match today's 10,000-employee firms
  3. GDP Measurement Challenges: Traditional metrics will struggle to capture AI's value as many services become free

Timeline:

  • 2028-2033: TAI begins transforming economy
  • 2030: Superintelligent AI emerges
  • 2045: AI likely outperforms humans in all economically valuable work

A cartoon of an elephant and mouse on a seesaw

Career Advice:

  • Under 35: Consider founding an AI startup to capitalize on this transition
  • 35-60: At high risk - need to pivot skills now to remain employable
  • 60+: Likely to retire before major impacts, but should stay with current employer

The research suggests we must redesign economic systems to provide meaning as traditional work disappears. As Brynjolfsson notes, "The challenge is no longer about maximizing efficiency, but about designing robust systems that manage the inevitable paradoxes."

For more details, watch the explainer video on Transformative AI

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September 28, 2025•Eddie Wu The current CEO of Alibaba Group, one of Alibaba's 19 co-founders.

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

Expertise

Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
Publications
120+
Credentials
3
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