Methodology

This Staff Discussion Note examines how AI and IT skills are reshaping labor markets, creating new roles while demanding supply-side adjustments to bridge skill gaps.

This report explores the potential impact of generative AI on the global economy and labor markets, highlighting risks of displacement and opportunities for augmentation.

An empirical investigation into AI adoption across US industries, finding significant shifts in employment patterns and skill requirements.

Analyzes how workers transition between jobs in response to AI exposure, emphasizing the need for flexible labor markets and retraining.

Discusses the widening gap in AI adoption between advanced and emerging economies and its implications for global labor productivity.

Assesses the exposure of the Philippine workforce to AI, identifying sectors like BPO as high-risk for displacement but high-potential for augmentation.

Analyzes Malta's economic exposure to AI, focusing on the high concentration of financial and tech services and the resulting labor market shifts.

Investigates the slow diffusion of AI in Europe compared to the US and its impact on regional labor productivity and job creation.

Explores how AI could exacerbate wealth and wage inequality by favoring high-skilled workers and capital owners over low-skilled labor.

Evaluates Qatar's readiness for AI and the potential for the technology to diversify the economy and transform the local workforce.

A foundational study quantifying AI exposure across dozens of countries, distinguishing between automation and augmentation potential.

A country-specific study on Singapore, highlighting its high exposure to AI but strong institutional readiness to manage the transition.

This influential report provides a comprehensive look at how macrotrends and technological adoption will shape the workforce over the next five years. It identifies AI as a major driver of both job creation and destruction.

The 2025 edition provides updated projections on the labor market, incorporating the rapid advancements in generative AI seen since 2023. It emphasizes the urgent need for systemic shifts in education and training to meet new skill demands.

A deep dive into how LLMs like ChatGPT affect different job categories. The report provides a granular analysis of tasks within occupations to determine the potential for automation and augmentation.

This strategic foresight report maps out four possible scenarios for the global labor market by 2030, depending on the pace of AI innovation and the effectiveness of workforce reskilling initiatives.

This report examines how AI and other emerging technologies affect the largest sectors of the global workforce, such as manufacturing and retail. It identifies key risks for workers in these sectors and opportunities for technology-led job growth.

Focusing on the supply side of the labor market, this report details the specific AI and data skills that will be most in demand. it provides a guide for businesses to build these capabilities internally.

This white paper argues that the primary value of generative AI lies in augmenting human work. It provides a framework for organizations to implement AI in ways that enhance productivity while maintaining high levels of job engagement.

This report shifts the focus from AI's potential to its actual industrial application. It discusses how the 'scaling' of AI across sectors is changing workforce structures and management paradigms.

Looking at the long-term future, this report explores how humans can develop cognitive advantages that complement AI. It advocates for a 'brain economy' approach to education and workforce development.

This guidebook highlights how AI can be used by public employment agencies to improve job matching. It provides examples of AI-driven tools that help displaced workers find new opportunities more quickly.

As the prospect of AGI becomes more discussed, this report examines the potential for profound workforce disruption. It calls for international collaboration on AGI safety and labor market resilience.

Examines the shifting task composition of jobs due to AI integration, highlighting the rising importance of socio-emotional and technical skills.

Focuses on the adoption of generative AI in small and medium enterprises and its impact on workforce efficiency and digital divides.

A comprehensive annual report assessing the current state of labor markets and the transformative role of AI in job quality and quantity.

Identifies the demographic and occupational groups most vulnerable to AI-driven task automation, emphasizing risks for clerical and technical roles.

Uses job posting data to estimate how AI is altering the demand for non-AI technical skills and soft skills in the broader labor market.

Analyzes the link between AI exposure and wage growth, finding that while AI can boost productivity, it may also widen the gap between top and bottom earners.

Details how government employment agencies are using AI to improve job matching and support displaced workers through personalized training.

Discusses the ethical implications of AI deployment in firms, including algorithmic bias, worker surveillance, and the impact on job autonomy.

Presents findings from large-scale surveys on how AI is perceived by the workforce, noting a mix of productivity optimism and job security fears.

A deep dive into the Canadian labor market's response to AI, noting strong demand for hybrid roles that combine AI literacy with domain expertise.

Analyzes the macroeconomic effects of AI, warning that productivity gains may not be equally distributed without proactive labor policies.

This foundational ILO study analyzes how generative AI affects occupations globally, suggesting that the technology is more likely to augment tasks than fully automate jobs. It provides a detailed breakdown of exposure by gender and income level.

This working paper explores the ethical and practical challenges of integrating AI into HR processes like hiring and performance management. It warns against over-reliance on algorithmic data and calls for human oversight to protect worker rights.

This brief provides a high-level overview of how AI is transforming work, highlighting both the potential for massive productivity gains and the risk of labor market polarization. It emphasizes social dialogue as a key tool for managing these changes.

By examining real-world examples, this report shows how unions and employers are negotiating the use of AI in the workplace. It provides practical insights into how collective bargaining can address algorithmic transparency and fairness.

This regional report details the specific impacts of AI on Arab economies, where digital transformation is rapid but uneven. It suggests policies to bridge the digital divide and prepare the youth-heavy workforce for AI-driven jobs.

Focusing on Latin America, this report argues that the region's ability to benefit from AI is hindered by infrastructure gaps. It warns that without intervention, AI could exacerbate existing social and economic inequalities.

Commissioned for the G20, this paper provides an update on AI adoption trends across the world's largest economies. It focuses on the macroeconomic implications of AI-driven labor productivity and the resulting shifts in job demand.

This guide examines how platform work is being reshaped by AI-driven algorithmic management. It discusses the challenges for worker classification, social protection, and the maintenance of decent work standards in the gig economy.

A review of national policy responses to digital transformation, this report analyzes how 75 countries are integrating AI into their labor market strategies. It highlights the need for adaptive policies that support both innovation and worker security.

This research brief explores whether digital infrastructure acts as a buffer or a bottleneck for AI's labor market impact. It finds that high-connectivity countries are better positioned to leverage AI for job augmentation.

The Joint Research Centre presents a new task-based methodology for predicting which occupations are most vulnerable to AI. This tool is designed to help European policymakers design targeted training and support programs.

This JRC report investigates the spread of algorithmic management in the EU. It explores how these technologies impact worker wellbeing, trust, and the traditional employer-employee relationship.

A strategic document from the Commission outlining how to maintain high job quality amidst technological change. It specifically addresses the role of AI in the workplace and the need for new labor regulations.

The annual ESDE report for 2023 provides an in-depth analysis of how the digital transition, spearheaded by AI, is affecting European labor markets. It emphasizes the importance of investment in human capital.

This economic discussion paper analyzes the productivity-enhancing potential of AI. It explores the conditions necessary for AI to drive a virtuous cycle of growth and high-quality job creation in the EU.

Focusing on the healthcare sector, this report identifies the major AI applications that are transforming medical work. It discusses the shifting task profiles for doctors and nurses and the need for new digital competencies.

A technical document showing how AI is used to harmonize different labor market classification systems. This improvement in data allows for better tracking of skills demand and more effective workforce planning.

Based on a large-scale analysis of job postings, this report tracks the rapid growth in demand for AI-related skills across the OECD. It provides early evidence of how AI is reshaping job requirements in real-time.

Refines the measurement of how different occupations are exposed to generative AI, estimating potential for both task automation and augmentation.

A policy brief highlighting the potential of AI to enhance job quality if governed well, while warning of the risks of widening the digital divide.

The ILO's flagship report for 2025, including a significant section on how AI is reshaping global employment trends and labor participation.

Examines the use of AI in recruitment and management, arguing for human-in-the-loop systems to protect worker rights and dignity.

Explores how AI can improve workplace safety through real-time monitoring while raising concerns about automated management pressure.

Reports on AI adoption across Europe, finding that 70% of businesses are increasing investment, with major implications for workforce restructuring.

A roadmap for Australian businesses and policymakers to manage the transition to an AI-augmented economy, focusing on vocational training.

Focuses on the productivity benefits of AI in professional services, arguing for a human-centric approach to automation.

Highlights the disparate impacts of AI on different skill levels, with high-skilled roles facing the most significant changes in tasks.

Suggests a framework for national AI strategies that prioritize labor market resilience and ethical technology deployment.

Uses high-frequency job posting data to show that occupations more exposed to AI are seeing a relative decline in job openings.

Finds that while AI exposure is lower in developing nations, the lack of digital infrastructure makes workers there more vulnerable to displacement.

Reviews global digital trends with a focus on AI adoption readiness, labor market shifts, and policy recommendations for developing countries.

Estimates that by 2030, up to 30% of hours currently worked across the US economy could be automated, with gen AI accelerating the timeline.

Argues that Europe must accelerate AI adoption to maintain competitiveness, requiring massive investment in worker retraining and digital infrastructure.

The latest global survey on AI adoption, revealing how organizations are moving from experimental gen AI to integrated AI agents in the workforce.

Tracks 15 tech trends, with generative AI and robotics as the most impactful for labor markets and industrial productivity.

A global survey of 10,000+ workers revealing that while AI use is rising, a 'silicon ceiling' persists for frontline employees without access to tools.

Analyzes why some companies are capturing significant value from AI while others struggle, focusing on the human capital factor.

The UN's flagship report on AI governance provides recommendations for managing the technology's impact on global society, including the future of work. It calls for international standards to ensure AI benefits all of humanity.

UNCTAD's report examines the potential for frontier technologies like AI to support a green transition while warning of a 'technological divide'. It highlights the risk of job displacement in sectors traditional to developing economies.

This UNESCO report assesses how the 2021 Recommendation on the Ethics of AI is being implemented worldwide, with specific focus on labor and education. It stresses the importance of ethical AI that enhances human capabilities rather than replacing them.

Analyzes a billion job ads to show that AI-exposed sectors are seeing 5x higher productivity growth and significant shifts in required skills.

The definitive annual report on the state of AI, featuring a dedicated chapter on the economic and labor market impacts of AI adoption.

Summarizes the latest research on how AI tools like Copilot are impacting individual productivity, team collaboration, and job satisfaction.

OpenAI's perspective on the evolution of work, emphasizing the potential for AI to create new categories of labor and the importance of safety and equity.

Examines recent unemployment data in AI-exposed sectors, finding no massive job loss yet but significant churn in task requirements.

Critically examines the feasibility of large-scale retraining programs, arguing that policy must go beyond education to social safety nets.

A strategic report on using AI to drive national growth, focusing on workforce upskilling and industry-specific AI applications.

A regional analysis of AI's labor market impact, identifying metropolitan areas and job categories most likely to see disruption.

A joint report on SME AI adoption across G7 nations, focusing on workforce challenges and policy support frameworks.

A state-level analysis of AI's impact on high-tech and healthcare sectors in Massachusetts, predicting significant role evolution.

A global study on public trust in AI and its impact on workforce willingness to adopt new technologies in the workplace.

A field experiment showing that AI significantly improves performance for low-ability workers but can lead to errors if over-relied upon.

Identifies critical skill shortages in the UK financial sector as it adopts AI, proposing a collective industry response for training.

Discusses how AI can be leveraged for sustainable development while addressing the risk of deepening global labor inequalities.

Reviews workforce transformation across the Temasek investment portfolio, highlighting AI-driven skill shifts in logistics and finance.

A regional report using LinkedIn data to track the growth of AI skills and the changing demand for workers in ASEAN economies.

Examines social investment strategies to ensure inclusive AI adoption and support for workers at risk of displacement in APAC.

Focuses on the public sector workforce in Asia, discussing how AI can improve government services while requiring new digital competencies.

Draws parallels between previous technological shifts and the current AI era, suggesting policy reforms for worker mobility and benefits.

Warns that AI could create a 'digital underclass' if access to AI education and tools is not democratized across socio-economic groups.

Examines the role of connectivity in the AI-driven workplace, emphasizing the infrastructure needed for remote AI-augmented work.

Focuses on the financial and professional services sector, detailing 168 technical AI skills that will define the future workforce.