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The Future of Jobs

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      • [ — Divider — ]
      • Central Asia
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      • Eastern Europe
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    • User’s Guide: How to Read the Industry and Country/Region Profiles
  • Shareable Infographics
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  • The Future of Jobs Report
    • Preface
    • Key Findings
    • Preparing the Future Workforce
      • Introduction
      • Strategic Drivers of New Business Models
      • Workforce Trends and Strategies for the Fourth Industrial Revolution
      • The Future of Jobs across Industries
      • The Future of Jobs across Regions
      • A Look to the Recent Past (in Collaboration with LinkedIn)
      • Conclusions
      • References and Further Reading
      • Appendix A: Report Methodology
      • Appendix B: Industry and Regional Classifications
  • Download full publication as PDF
  • Press Releases
  • Blogs and Opinions
  • [ — Divider — ]
  • Contributors
  • System Initiative Partners
  • Survey Partners
  • Acknowledgements
Future of Jobs 2018 Home
  • Report Home
  • Industry and Country/Region Profiles
    • Industry Profiles
      • Automotive, Aerospace, Supply Chain & Transport
      • Aviation, Travel & Tourism
      • Chemistry, Advanced Materials & Biotechnology
      • Consumer
      • Energy Utilities & Technologies
      • Financial Services & Investors
      • Global Health & Healthcare
      • Information & Communication Technologies
      • Infrastructure
      • Mining & Metals
      • Oil & Gas
      • Professional Services
    • Country/Region Profiles
      • Argentina
      • Australia
      • Brazil
      • China
      • France
      • Germany
      • India
      • Indonesia
      • Japan
      • Korea, Rep
      • Mexico
      • Philippines
      • Russian Federation
      • Singapore
      • South Africa
      • Switzerland
      • Thailand
      • United Kingdom
      • United States
      • Vietnam
      • [ — Divider — ]
      • Central Asia
      • East Asia and the Pacific
      • Eastern Europe
      • Latin America and the Caribbean
      • Middle East and North Africa
      • North America
      • South Asia
      • Sub-Saharan Africa
      • Western Europe
    • User’s Guide: How to Read the Industry and Country/Region Profiles
  • Shareable Infographics
  • [ — Divider — ]
  • The Future of Jobs Report
    • Preface
    • Key Findings
    • Preparing the Future Workforce
      • Introduction
      • Strategic Drivers of New Business Models
      • Workforce Trends and Strategies for the Fourth Industrial Revolution
      • The Future of Jobs across Industries
      • The Future of Jobs across Regions
      • A Look to the Recent Past (in Collaboration with LinkedIn)
      • Conclusions
      • References and Further Reading
      • Appendix A: Report Methodology
      • Appendix B: Industry and Regional Classifications
  • Download full publication as PDF
  • Press Releases
  • Blogs and Opinions
  • [ — Divider — ]
  • Contributors
  • System Initiative Partners
  • Survey Partners
  • Acknowledgements

Strategic Drivers of New Business Models

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As the Fourth Industrial Revolution unfolds, companies are seeking to harness new and emerging technologies to reach higher levels of efficiency of production and consumption, expand into new markets, and compete on new products for a global consumer base composed increasingly of digital natives. More and more, employers are therefore also seeking workers with new skills from further afield to retain a competitive edge for their enterprises and expand their workforce productivity. Some workers are experiencing rapidly expanding opportunities in a variety of new and emerging job roles, while others are experiencing a rapidly declining outlook in a range of job roles traditionally considered ‘safe bets’ and gateways to a lifetime career.

Even as technological advancements pose challenges to existing business models and practices, over the coming years, these same dynamics of technological change are set to become the primary drivers of opportunities for new growth. For example, based on one recent estimate, even a somewhat moderately paced rollout of new automation technologies over the next 10 to 20 years would lead to an investment surge of up to US$8 trillion in the United States alone.4

According to the global employers surveyed for this report, four specific technological advances—ubiquitous high-speed mobile internet; artificial intelligence; widespread adoption of big data analytics; and cloud technology—are set to dominate the 2018–2022 period as drivers positively affecting business growth (Table 2). They are flanked by a range of socio-economic trends driving business opportunities in tandem with the spread of new technologies, such as national economic growth trajectories; expansion of education and the middle classes, in particular in developing economies; and the move towards a greener global economy through advances in new energy technologies. By contrast, technological and social trends expected to negatively impact business growth include increasing protectionism; cyber threats; shifts in government policies; the effects of climate change; and increasingly ageing societies.

Table 2: Trends set to impact business growth positively/negatively up to 2022, top ten

Trends set to positively impact business growth up to 2022Trends set to negatively impact business growth up to 2022
Increasing adoption of new technologyIncreasing protectionism
Increasing availability of big dataIncrease of cyber threats
Advances in mobile internetShifts in government policy
Advances in artificial intelligenceEffects of climate change
Advances in cloud technologyIncreasingly ageing societies
Shifts in national economic growthShifts in legislation on talent migration
Expansion of affluence in developing economiesShifts in national economic growth
Expansion of educationShifts of mindset among the new generation
Advances in new energy supplies and technologiesShifts in global macroeconomic growth
Expansion of the middle classesAdvances in artificial intelligence


Source: Future of Jobs Survey 2018, World Economic Forum.

By 2022, according to the stated investment intentions of companies surveyed for this report, 85% of respondents are likely or very likely to have expanded their adoption of user and entity big data analytics (Figure 2). Similarly, large proportions of companies are likely or very likely to have expanded their adoption of technologies such as the internet of things and app- and web-enabled markets, and to make extensive use of cloud computing. Machine learning and augmented and virtual reality are poised to likewise receive considerable business investment. While estimated use cases for humanoid robots, a fixture of the current media discourse on the future of jobs, appear to remain somewhat more limited over the 2018–2022 period under consideration in this report,5 collectively, a broader range of recent robotics technologies at or near commercialization—including stationary robots, non-humanoid land robots and fully automated aerial drones, in addition to machine learning algorithms and artificial intelligence—are attracting significant business interest in adoption.6

Figure 2: Technologies by proportion of companies likely to adopt them by 2022 (projected)

Source: Future of Jobs Survey 2018, World Economic Forum.

There are complex feedback loops between new technology, jobs and skills. New technologies can drive business growth, job creation and demand for specialist skills but they can also displace entire roles when certain tasks become obsolete or automated. Skills gaps—both among workers and among the leadership of organizations—can speed up the trends towards automation in some cases but can also pose barriers to the adoption of new technologies and therefore impede business growth.

Opportunities for new and emerging technologies to drive inclusive economic and business growth over the 2018–2022 period are manifold, yet concrete and viable mechanisms for preparing the global labour market—thereby enabling employers to better leverage these opportunities across industries and regions—remain elusive. A mindset of agile learning on the part of both company leaders and workers will be needed, starting with an ability to reimagine the routines and limits of today’s jobs as part of a comprehensive workforce strategy for the Fourth Industrial Revolution.

4
4 Bain & Company, Labor 2030: The Collision of Demographics, Automation and Inequality, 2018.
5
5 According to an estimate by Bain & Company, based primarily on the rapidly declining cost of robotic dexterity for service applications, humanoid robots are likely to reach commercialization in the early 2020s, specifically creating ‘a strong business case for the automation of many tasks in restaurant kitchens and bars’; see: Bain & Company, Labor 2030: The Collision of Demographics, Automation and Inequality.
6
6 For example, ‘cobots’—robotic helper units installed alongside human workers to enhance their productivity and often costing less than one-quarter the price of traditional robots—are set to have a large commercial and workforce impact over the coming years, being well-placed for deployment in many parts of the service sector as yet largely untouched by workplace automation; see: Bain & Company, Labor 2030: The Collision of Demographics, Automation and Inequality.
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