Public Sentiment for Policies Limiting Reach and Impact of Workforce Automation

Public Sentiment for Policies Limiting Reach and Impact of Workforce Automation

Proof Point

Majority of Americans surveyed by Pew Research Center favor policies limiting impact of workforce automation

Public Sentiment for Policies Limiting Reach and Impact of Workforce Automation

2017 (percentage of respondents)

Note: Data based on Pew Research Center’s survey of 4,135 U.S. adults conducted May 1-15, 2017. Respondents who did not give answer not shown.

Proof Point Findings

  • Machines in Dangerous Jobs – 85% of surveyed American adults favor policies limiting machines to doing jobs considered dangerous or unhealthy for humans
  • Offer Guaranteed Basic Income – Six in ten (61%) support policies offering guaranteed income for basic needs to workers potentially displaced by technology
  • Pay People Performing Tasks – More than half (58%) of Americans think positively of public policy supporting payment for humans to do jobs even if machines can execute them more efficiently at lower costs
  • Key Drivers – Include exponentially advancing computing power, growing industry adoption of robotics, cognitive computing and AI applications, increasing industry demand for automation, expanding use of technology in business activities, and accelerating returns on augmented workforce

Accelerator

Market Disruption

Sector

Government (excluding military), Information Technology

Source

Date Last Updated

February 16, 2018

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