World Economic Forum — Entity Profile

World Economic Forum — Entity Profile

Website: weforum.org Type: International Organization / Research Key Output: Future of Jobs Report Market Relevance: Definitive source for global employment transformation projections

Organization Overview

The World Economic Forum is an international organization headquartered in Geneva, Switzerland, that engages political, business, cultural, and other leaders to shape global, regional, and industry agendas. The WEF’s Centre for the New Economy and Society publishes the Future of Jobs Report — the most widely cited source of data on how technology, demographics, and economic forces are reshaping global employment.

Future of Jobs Report 2025

The WEF’s Future of Jobs Report 2025 projects a net gain of 78 million jobs globally by 2030, with 92 million jobs disappearing but 170 million new roles emerging. See our comprehensive analysis for detailed coverage. Key findings include: 77% of companies expect no net workforce size change from AI. 39% of workers’ core skills will change by 2030. The fastest-growing skills combine AI proficiency with human capabilities.

Research Methodology

The Future of Jobs Report surveys over 1,000 companies across 27 industry clusters and 55 economies, representing more than 14 million workers. The survey captures employer perspectives on technology adoption, job creation, job displacement, skills gap priorities, and workforce strategy. This breadth of coverage makes the report the most comprehensive global assessment of employment transformation.

Policy Influence

WEF’s research directly influences national AI strategies, educational reform initiatives, and reskilling program design worldwide. The organization’s emphasis on skills transformation rather than job elimination has shaped the policy discourse toward augmented intelligence approaches that enhance rather than replace human capabilities.

The WEF’s projection that 39% of core skills will change by 2030 drives the urgency of the $5.5 trillion skills gap challenge. Workers who develop the fastest-growing skills — AI and big data, creative thinking, resilience, leadership — position themselves to capture the 56% wage premium that AI-proficient workers command.

The Global AI Economy and WEF’s Role in Shaping It

The artificial intelligence market reached $196 billion in 2023 and is projected to surge to $1.81 trillion by 2030, according to Grand View Research. Within this explosive growth trajectory, the WEF’s research function serves as the single most referenced framework for understanding how this technology wave translates into labor market outcomes. No other institution combines the breadth of employer survey data, the geographic diversity of coverage, and the policy influence that the Forum wields when governments and multinational corporations make decisions about workforce investment.

McKinsey’s research estimates that 40 percent of all working hours across the global economy will be impacted by AI-driven automation and augmentation. The WEF’s contribution to interpreting this figure is critical because the Forum distinguishes between hours that will be fully automated, hours that will be augmented (where AI assists human workers rather than replacing them), and hours that will be fundamentally restructured into new task configurations. This nuanced framework has become the standard lens through which policymakers evaluate workforce transformation proposals.

The WEF’s Future of Jobs Report directly informed the projection that 97 million new AI-related roles will emerge by 2025, even as 85 million existing positions face displacement. These figures, originally published by the Forum, have been cited in over 4,000 policy documents, corporate strategy presentations, and academic papers worldwide. The net positive framing — that more jobs are created than destroyed — has been instrumental in preventing reactionary policy responses that could slow AI adoption and reduce the productivity gains that benefit workers and economies alike.

WEF and the Productivity Revolution

Boston Consulting Group’s research, frequently presented at WEF convenings, demonstrates that AI-augmented workers are 40 percent more productive than their non-augmented counterparts. Goldman Sachs estimates that AI could automate 25 percent of all work tasks globally. The WEF synthesizes these findings into actionable frameworks that help organizations navigate the transition from traditional workflows to human-AI team structures that maximize both productivity and worker satisfaction.

Stanford’s Human-Centered AI Institute (HAI) reports that AI adoption across industries has doubled between 2017 and 2023. The WEF tracks how this adoption rate varies by region, industry, and company size, providing the granularity that enterprise leaders need to benchmark their own AI maturity against global peers. PwC’s estimate that AI could contribute $15.7 trillion to global GDP by 2030 provides the macroeconomic context, while the WEF’s microeconomic data on individual industry clusters provides the operational detail.

The Forum’s annual meetings in Davos serve as a forcing function for corporate AI commitments. Companies that participate in WEF initiatives on responsible AI deployment gain access to peer benchmarking data, regulatory preview insights, and collaborative frameworks for addressing shared challenges like algorithmic bias, workforce displacement, and skills gap remediation. This convening power — bringing together CEOs, labor ministers, education leaders, and technologists — is unique among global institutions and explains why the WEF’s employment projections carry disproportionate weight in boardroom and cabinet-level discussions.

Workforce Transformation Data Infrastructure

The WEF maintains the most comprehensive longitudinal dataset on how employers perceive and plan for technology-driven workforce changes. By surveying the same industry clusters across multiple report cycles, the Forum captures not just point-in-time snapshots but trend trajectories that reveal whether AI adoption is accelerating, plateauing, or shifting between sectors. This longitudinal perspective is especially valuable as the global AI market grows at compound rates that exceed historical technology adoption curves.

The Forum’s emphasis on skills taxonomy — cataloging the specific competencies that are growing, stable, or declining in demand — provides the foundation for national education reform and corporate training investment. When the WEF identifies analytical thinking, creative problem-solving, and AI literacy as the fastest-growing skill categories, training providers, universities, and corporate learning departments respond by adjusting curricula and program offerings. This feedback loop between WEF research and institutional action creates a de facto coordination mechanism for global workforce development that no treaty or regulation could replicate.

The WEF’s regional analysis reveals significant variation in how AI adoption affects labor markets across different economic contexts. Advanced economies with strong social safety nets and mature education systems tend to experience smoother workforce transitions, while emerging markets face greater displacement risk but also greater opportunity for leapfrog development through AI-enabled services. Understanding these regional dynamics is essential for multinational organizations designing global workforce strategies and for investors evaluating geographic exposure to AI-driven economic transformation.

WEF’s Data Infrastructure and Longitudinal Tracking

The WEF’s research infrastructure extends beyond the biennial Future of Jobs Report to include continuous data collection through the Forum’s network of member organizations, annual meeting discussions, and specialized working groups on topics including responsible AI governance, digital skills development, and inclusive technology adoption. This continuous engagement produces insights between report cycles that the Forum shares through white papers, briefings, and advisory services.

The longitudinal dimension of WEF’s research is particularly valuable for trend identification. By surveying the same industry clusters across multiple cycles, the Forum identifies shifts in employer sentiment, technology adoption trajectories, and skills demand evolution that cross-sectional surveys cannot capture. The finding that employer investment in AI training has grown from 22 percent of organizations in 2020 to 55 percent in 2025 reveals a trajectory that informs both the pace of workforce transformation and the remaining gap between current investment and the level needed to close the $5.5 trillion skills deficit.

The Forum’s convening power — bringing together CEOs, heads of state, academic leaders, and technology executives — creates a unique feedback loop where research findings directly influence the strategic decisions that shape the phenomena being studied. When the WEF presents data showing that 39 percent of core skills will change by 2030, the executives hearing this data adjust their workforce strategies, which in turn influences the actual rate of skills change. This reflexive dynamic makes the WEF not just an observer of workforce transformation but an active participant whose research outputs shape the market outcomes that subsequent research measures.

The Forum’s partnerships with national governments on AI workforce strategy create implementation pathways for its research findings. The WEF’s Reskilling Revolution initiative, which aims to provide better education, skills, and economic opportunity to one billion people by 2030, translates the Forum’s quantitative projections into programmatic commitments backed by government, corporate, and institutional funding. This translation from research to action distinguishes the WEF from purely analytical research organizations and provides a mechanism for the Forum’s findings to generate measurable workforce outcomes at scale.

For workforce AI analysis, human-AI teams, future of work, comparisons, dashboards, entity profiles, and guides, see our intelligence coverage.

The WEF’s Institutional Architecture for Workforce Transformation

The World Economic Forum’s influence on the future of work extends far beyond its research publications. The Forum operates a network of institutional platforms — the Centre for the Fourth Industrial Revolution, the Reskilling Revolution initiative, the Global Alliance for Social Entrepreneurship, and the Partnership for New Work Standards — that translate research findings into coordinated action across government, corporate, and educational stakeholders. This institutional architecture enables the WEF to influence workforce transformation through multiple channels simultaneously: research shapes public discourse, convenings build stakeholder alignment, policy recommendations inform government action, and corporate initiatives drive enterprise implementation.

The Reskilling Revolution initiative, launched in 2020 with the goal of providing better education, skills, and jobs to one billion people by 2030, exemplifies the WEF’s operational approach. The initiative coordinates reskilling programs across 45 countries, connecting government workforce agencies with corporate training providers, educational institutions, and technology platforms to create integrated reskilling ecosystems that individual stakeholders could not build independently. Participating organizations report that the WEF’s convening role resolves coordination failures that historically prevented effective public-private reskilling partnerships, particularly in emerging economies where institutional fragmentation limits the scale and coherence of workforce development programs.

The Forum’s annual Future of Jobs Report has established the quantitative framework that enterprise leaders, policymakers, and researchers use to discuss AI-driven workforce transformation. The report’s methodology — surveying over 1,000 companies representing more than 14.1 million workers across 27 industry clusters and 55 economies — provides the most comprehensive and geographically diverse employment forecast available, making it the reference standard against which all other workforce transformation projections are evaluated. The report’s influence extends to enterprise strategic planning processes, where WEF projections are routinely incorporated into workforce planning models, training budget justifications, and organizational design decisions that shape how companies prepare for the AI-driven employment transitions the report documents.

The WEF’s multi-stakeholder governance model — bringing together government leaders, corporate executives, academic researchers, and civil society representatives — provides a legitimacy foundation that purely private-sector or purely government-led workforce transformation initiatives cannot achieve. This perceived neutrality enables the WEF to convene conversations about contentious workforce issues — including AI displacement, wage polarization, and algorithmic management — that stakeholders with narrower constituencies cannot facilitate effectively, making the Forum an indispensable institutional actor in the global workforce transformation landscape.

The WEF’s Centre for the Fourth Industrial Revolution operates technology governance projects in 15 countries, developing policy frameworks for AI deployment in employment, education, and social protection that translate the Forum’s research insights into implementable government policy. These country-level projects create feedback loops where implementation experience informs subsequent research, producing increasingly practical and context-sensitive recommendations that reflect the diversity of institutional, economic, and cultural conditions across the global economy. The Centre’s work on algorithmic management governance — developing frameworks for the ethical use of AI in hiring, performance evaluation, and workforce scheduling — has influenced regulatory development in the EU, Japan, and Canada, demonstrating the WEF’s capacity to shape the regulatory environment that governs AI’s workforce impact across major economic regions.

The WEF’s data partnerships with national statistical agencies, international organizations including the ILO and OECD, and private sector data providers create a research infrastructure that no single institution could replicate independently. These partnerships provide access to employment microdata, skills assessment results, and labor market flow statistics across 55 economies at a granularity that enables the WEF’s uniquely detailed and geographically comprehensive analysis of workforce transformation dynamics. The Forum’s commitment to making its research publicly available — the Future of Jobs Report, Reskilling Revolution progress data, and technology governance frameworks are all freely accessible — maximizes the influence of its findings on the global policy discourse and ensures that organizations of all sizes, not just Forum members, can access the intelligence needed to navigate the AI-driven workforce transformation effectively.

Updated March 2026. Contact info@smarthumain.com for entity intelligence.