World Economic Forum: The Future of Jobs Report 2025

ArticleWorld Economic ForumResearch

The World Economic Forum's report analyses the primary drivers reshaping the global labour market up to 2030, drawing on insights from more than 1,000 global employers.

Key points

  1. Key forces driving labour market transformation up to 2030 include technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts, and the green transition.
  2. The survey covers over 1,000 leading global employers representing more than 14 million workers across 22 industry clusters and 55 economies.
  3. It focuses on how macrotrends affect jobs and skills, detailing the workforce transformation strategies planned for 2025 to 2030.
  4. Skills gaps are identified as a major obstacle to business transformation globally.

Why it matters

The report provides leaders with concrete indicators of the workforce trends, required skillsets, and macroeconomic challenges expected to impact organisations through 2030.

Analysis

The findings underscore that workforce planning faces simultaneous pressures from technological disruption, economic volatility, and demographic changes, requiring comprehensive transformation strategies.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

  • Link:Peter H. Diamandis

    Peter H. Diamandis Blog on Exponential Technologies

    The blog index of Peter H. Diamandis collects articles focusing on exponential technologies, entrepreneurship, artificial intelligence, and longevity. Topics range from the impact of ChatGPT on education and employment to the use of AI in medical research.

    AI & LLMs· Resource

  • Article:Peter H. Diamandis

    The Next 5 Years: Peter Diamandis on AI, Robotics, and Exponential Growth

    Peter H. Diamandis compiles projections from prominent industry figures including Elon Musk, Dario Amodei, and Sam Altman for the upcoming 60 months. He argues that collapsing intelligence costs alongside humanoid robotics will radically accelerate science, medicine, transport, and the global economy.

    AI & LLMs· Opinion

  • Article:Brett Hemenway Falk, Gerry Tsoukalas

    The AI Layoff Trap: Why Competition Traps Firms in Excessive Automation

    A theoretical economics paper by Brett Hemenway Falk and Gerry Tsoukalas models why rational firms cut more jobs with AI than is collectively optimal. A demand externality drives the trap: each firm captures all the cost savings from automation but absorbs only a fraction of the resulting demand loss, shifting the rest onto competitors.

    AI & LLMs· Research

  • Link:Lyudmila Borovikova, Inna Botchkina, Elena Putalova, Lev Selector, Vitalii Stinskii, Yana Yakubsfeld

    Artificial Intelligence In Business: Strategies That Work

    The e-book 'Artificial Intelligence In Business: Strategies That Work' is a practical guide for business leaders and decision-makers. Across 97 pages, six authors outline operational strategies, frameworks, and real-world examples from 2025 to deploy AI effectively across organisations.

    AI & LLMs· Resource

  • Article:Peter H. Diamandis

    The Trillion-Sensor Network: Radical Transparency and Its Consequences

    Peter H. Diamandis outlines the emergence of a global sensor ecosystem comprising satellites, drones, autonomous vehicles, humanoid robots, and smartphones. By 2030, roughly 40 billion connected devices will generate real-time data interpreted by AI. This pervasive visibility reshapes human behaviour while introducing critical privacy risks.

    AI & LLMs· Opinion

  • Video

    Video:CURT

    Andrew Ng on AI Fear-Mongering, the Job Market, and the Human Context Advantage

    In an interview with Marina Mogilko, AI pioneer Andrew Ng discusses current public perception around artificial intelligence. He contends that dominant AI firms deliberately foster fear to erect regulatory barriers against open-source models. Rejecting predictions of widespread job collapse, Ng argues that while AI may automate 30 to 40 per cent of routine tasks, it enhances the economic value of the remaining human work. He also warns against cognitive offloading in education and encourages professionals across all departments to build their own tools with AI.

    AI & LLMs· Discussion

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.