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Keynote
The Rise of
Artificial Intelligence
Implications for
Jobs and the Economy
Martin Ford
Labor hours in the business sector
1998: 194 billion hours of labor
2013 -- 15 years later:
■ Business output up by 42% or
$3.5 trillion
■ U.S. population up by over 40 million
people
Labor hours in the business sector
2013: 194 billion hours of labor
“no growth at all in the number of hours worked over this 15-year
period, despite the fact that the U.S population gained over 40
million people during that time, and despite the fact that there were
thousands of new businesses established during that time.”
-- U.S. Bureau of Labor Statistics, May, 2014
What makes IT different?
■ Exponential -- at least 27 doublings
■ Delivers machine intelligence -- substitutes
for cognitive labor
■ General purpose technology -- invades
every business and economic sector
Historical examples
■ Mechanization of Agriculture
■ Specialized / Mechanical
■ Manufacturing and service sectors available to
absorb workers
■ Most jobs are routine on some level
■ 1900: farm worker
■ 1950: factory worker
■ 2014: Walmart / Routine White collar
New industries not labor intensive
■ General Motors 1979 (Peak Jobs)
■ 840,000 workers
■ $11 billion in earnings (2012 dollars)
■ Google 2012
■ 38,000 workers (4.5% of GM)
■ $14 billion in earnings (20% > GM)
Old vs New: Occupations & Jobs
Source: Gerald Huff, based on an analysis of BLS data
Productivity vs. Compensation
Source: Economic Policy Institute
Labor’s Share of National Income
Source: Bureau of Labor Statistics, St. Louis Federal Reserve
Global Labor’s Share
Source: Loukas Karabarbounis and Brent Neiman
Job Creation by Decade
Source: Bureau of Labor Statistics, St. Louis Federal Reserve
(Zero)
Jobless Recoveries & Polarization
Source: Bureau of Labor Statistics, St. Louis Federal Reserve
Innovations in Robotics
■ Industrial Perception
■ 3D Machine Vision,
Dexterity
■ Moves up to 1 box every
second
■ Never tires; no injuries
Self-Driving Vehicles
■ Commercial Drivers
■ Shared Resource vs
Owner/Operator
■ Huge impact on
peripheral jobs &
small businesses
White-collar Automation
White-collar Automation
■ Machine Learning / Specialized AI
■ Huge amounts of data being collected
■ eDiscovery, Wall Street Trading
■ Automation + Crowdsourcing
■ WorkFusion platform
■ Incremental automation
Earnings for College Graduates 25-34
Source: Progressive Policy Institute, Census Bureau
Impact on Consumer Demand
■ Machines do not consume
■ Only people and governments provide final
demand for the economy
■ Businesses must be able to sell their
output
■ Global Impact
Corporate Profits vs. Retail Sales
Source: St. Louis Federal Reserve
Business: Embrace the Disruption
■ AI, software automation and robotics will
fundamentally transform business models
■ Businesses that don’t leverage
the technology will likely find it impossible
to compete
Policy: What Should We Do?
■ Near Term: Enhance the Safety Net
■ Longer Term: Decouple Jobs from Income
■ Guaranteed basic income
■ Incorporate incentives, especially for education
www.isg-one.com
imagine your future™
let’s	
  connect…	
  

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The Rise of Artificial Intelligence

  • 1. © 2015 Information Services Group, Inc. All Rights Reserved. Keynote
  • 2. The Rise of Artificial Intelligence Implications for Jobs and the Economy Martin Ford
  • 3. Labor hours in the business sector 1998: 194 billion hours of labor 2013 -- 15 years later: ■ Business output up by 42% or $3.5 trillion ■ U.S. population up by over 40 million people
  • 4. Labor hours in the business sector 2013: 194 billion hours of labor “no growth at all in the number of hours worked over this 15-year period, despite the fact that the U.S population gained over 40 million people during that time, and despite the fact that there were thousands of new businesses established during that time.” -- U.S. Bureau of Labor Statistics, May, 2014
  • 5. What makes IT different? ■ Exponential -- at least 27 doublings ■ Delivers machine intelligence -- substitutes for cognitive labor ■ General purpose technology -- invades every business and economic sector
  • 6. Historical examples ■ Mechanization of Agriculture ■ Specialized / Mechanical ■ Manufacturing and service sectors available to absorb workers ■ Most jobs are routine on some level ■ 1900: farm worker ■ 1950: factory worker ■ 2014: Walmart / Routine White collar
  • 7. New industries not labor intensive ■ General Motors 1979 (Peak Jobs) ■ 840,000 workers ■ $11 billion in earnings (2012 dollars) ■ Google 2012 ■ 38,000 workers (4.5% of GM) ■ $14 billion in earnings (20% > GM)
  • 8. Old vs New: Occupations & Jobs Source: Gerald Huff, based on an analysis of BLS data
  • 9. Productivity vs. Compensation Source: Economic Policy Institute
  • 10. Labor’s Share of National Income Source: Bureau of Labor Statistics, St. Louis Federal Reserve
  • 11. Global Labor’s Share Source: Loukas Karabarbounis and Brent Neiman
  • 12. Job Creation by Decade Source: Bureau of Labor Statistics, St. Louis Federal Reserve (Zero)
  • 13. Jobless Recoveries & Polarization Source: Bureau of Labor Statistics, St. Louis Federal Reserve
  • 14. Innovations in Robotics ■ Industrial Perception ■ 3D Machine Vision, Dexterity ■ Moves up to 1 box every second ■ Never tires; no injuries
  • 15. Self-Driving Vehicles ■ Commercial Drivers ■ Shared Resource vs Owner/Operator ■ Huge impact on peripheral jobs & small businesses
  • 17. White-collar Automation ■ Machine Learning / Specialized AI ■ Huge amounts of data being collected ■ eDiscovery, Wall Street Trading ■ Automation + Crowdsourcing ■ WorkFusion platform ■ Incremental automation
  • 18. Earnings for College Graduates 25-34 Source: Progressive Policy Institute, Census Bureau
  • 19. Impact on Consumer Demand ■ Machines do not consume ■ Only people and governments provide final demand for the economy ■ Businesses must be able to sell their output ■ Global Impact
  • 20. Corporate Profits vs. Retail Sales Source: St. Louis Federal Reserve
  • 21. Business: Embrace the Disruption ■ AI, software automation and robotics will fundamentally transform business models ■ Businesses that don’t leverage the technology will likely find it impossible to compete
  • 22. Policy: What Should We Do? ■ Near Term: Enhance the Safety Net ■ Longer Term: Decouple Jobs from Income ■ Guaranteed basic income ■ Incorporate incentives, especially for education