Technology at Work v2.0: The Future Is Not What It Used to Be
TECHNOLOGY AT WORK v2.0 The Future Is Not What It Used to Be
This report examines the macroeconomic and structural impacts of accelerating technological change and automation on employment, productivity, inflation, and global trade. Produced in partnership with the Oxford Martin School at the University of Oxford, it explores which countries, industries, and cities are most susceptible to automation while identifying potential policy responses. The study emphasizes the need for workforce reskilling, educational adaptation, and active labor market policies to manage the transition.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, business leaders, institutional investors, and researchers seeking a comprehensive analysis of the socioeconomic and policy implications of automation and artificial intelligence.
What the document contains
The document addresses the macroeconomic and microeconomic impacts of automation and advanced technologies on employment, global value chains, productivity, inflation, and regional economic development. It also evaluates sector-specific disruptions and explores potential policy frameworks regarding labor markets, education, taxation, and robot governance.
The text does not provide binding legal regulations, specific legislative drafts, or mandatory code compliance frameworks for AI developers.
- Accelerating technological change and automation pose significant risks to routine and lower-skilled jobs across both developed and developing economies.
- Geographic disparities in automation exposure are pronounced, affecting specific cities and emerging market growth models differently.
- Despite fears of widespread technological unemployment, historical precedents suggest that new technology also creates new job categories, predominantly requiring higher skills.
- Productivity growth has remained subdued despite technological advances, pointing to measurement challenges, organizational lag effects, and rising productivity polarization across firms.
- Effective policy responses will require major investments in education, active labor market policies, tax reform, and infrastructure development to support workers during structural transitions.
· Macro Implications: How Susceptible are Countries Worldwide? · Does Automation Change the Trend of Offshoring to Low Cost Regions? · How Does Susceptibility Vary Within Countries? Cities at Risk · What New Jobs do We See Ahead? New Jobs in a New Economy · Demography vs Automation: Will We Run Out of Workers or Out of Jobs? · Impact of Automation on Productivity · Impact of Automation on Inflation · Industry Implications: Sector Analysis · What are the Barriers to Automation? · Policy Responses and Recommendations
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
Ethics, privacy and liability issues are at the forefront of this debate
Will Robot Laws Slow the Pace of Change? Privacy, Ethics and Liability Issues
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
real median wages have fallen behind growth in productivity and inequality has increased
Executive Summary
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
The effects of robots on privacy could be divided into three main categories: (1) direct surveillance; (2) increased access; and (3) social meaning.
So Are We Living in 1984? Privacy Issues and Robotics
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
n/a
screening score · 2026-10-23