AI is shaping the world of work, creating a demand for new jobs and skills. Get the latest real-time trends we see in LinkedIn data around how professionals and companies are adapting to AI at work.
Discover resources that can help you develop regulations, programs, and policies that will drive economic growth, foster AI and other critical skills development, and prepare workers for the changing economy.
"To successfully navigate the ongoing shifts at work, especially those brought on by AI, organizations, leaders and individuals must adopt a mindset that embraces change and prioritizes continuous learning, skill development, and human-centric approaches. Those who are proactive and forward-thinking will be better positioned to meet the demands of the modern economy and labor market, and stay competitive while unlocking the vast potential that change brings.”
Karin Kimbrough
Chief Economist, LinkedIn
Explore the latest research on AI at work.
AI and the Global Economy: Unlocking Growth and Reshaping Work
Generative AI is transforming the global economy, driving innovation, and creating new opportunities—but realizing its full potential requires investing in workforce skills. This report explores how AI is reshaping industries and why investing in skilling is key to long-term growth.
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AI Skills Trends in the UK
This report explores how AI is impacting the UK economy and workforce. The research delves into UK workers' adoption of highly specialized technical skills; and jobs, population segments, and industries that face the most substantial changes as GAI adoption accelerates.
Build the skills needed for the AI economy
LinkedIn and Microsoft have teamed up to provide free courses and credentials to help organizaitonal leaders and individuals learn the most in-demand skills today.
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Gender Parity in the Intelligent Age
Developed in collaboration with World Economic Forum, this paper explores the challenges and opportunities of AI-driven economic transformation through a gender parity lens. It examines workforce dynamics, skilling, and innovation, offering strategic insights into how women and men engage with AI. By highlighting key considerations for industry, policy, and multilateral leaders, the paper sets the stage for further exploration of generative AI as a catalyst for gender parity in the workforce.
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AI Data Partnerships Methodology
In this technical note we outline the methodologies used to define AI Talent on LinkedIn and several LinkedIn metrics developed to understand and monitor AI workforce trends, including: Top AI Skills, Fastest Growing AI Skills, AI Talent Concentration, the Relative AI Talent Hiring Rate, Relative AI Penetration, Female Representation with AI Talent, AI Talent Migration, and Career Transitions into AI jobs.
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The LinkedIn AI Talent Index
In this research note we present a new artificial intelligence (AI) talent metric: the LinkedIn AI Talent Index. This is a measure of overall AI Talent, adjusted to allow for comparisons across countries and industries, and for known differences in platform use to more accurately reflect the status of AI talent in the workforce.
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Generative AI & Gender: Global Employment Trends
This report examines gender differences in employment and worker sentiment after the introduction of Generative AI (GAI). It shows a slow narrowing of pre-existing gender gaps in jobs likely to be augmented by GAI, as well as evidence that men and women showed increased positive sentiment towards GAI, with reduced gender disparities.
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Work Change Report | January 2025
Workplace change is often driven by technological advancements — and AI is starting to drive this next wave of change. Using insights gained from LinkedIn data, this report highlights key shifts across talent, jobs, skills, and companies, revealing how AI is coming to work.
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Harnessing AI: Transforming Southeast Asia's workforce
This report calls for an urgent need to invest in skills-based workforce development approaches to meet the AI opportunity for Southeast Asia's workforce. The research delves into why building a skilled regional workforce is crucial and how we can collectively ensure Southeast Asia remains competitive and inclusive in an AI-driven economy.
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AI in the EU: 2024 Trends and Insights
This report explores how AI is impacting the EU economy and workforce. The research delves into EU workers’ adoption of highly specialized technical skills; and jobs, population segments, and industries that face the most substantial changes as GAI adoption accelerates.
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Work Change Snapshot
Work is changing quickly: From where people work and how they work, to new jobs being created and the skills required for many roles. With our real time data at LinkedIn, we take a closer look at some of these changes. See how companies, jobs, skills, and work are changing.
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Early evidence on the impact of Generative AI on Software Engineer’s Employment Outcomes
New research highlights the positive impact of GitHub Copilot on the labor market for software engineers. Early evidence shows GitHub Copilot increasing hiring, promoting upskilling and higher levels of non-programming skills without decreases in programming skills, and potential lowering barriers to entry.
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Generative AI's Influence on Employment Patterns
We investigate the differential impacts of Generative Artificial Intelligence (GAI) on workers in the US using LinkedIn data, both overall and by their educational attainment levels. We find a gradual shift away from GAI-disrupted occupations over the past six years towards potentially augmented or insulated roles, particularly pronounced among higher-educated workers.
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AI Has Arrived at Work
In collaboration with Microsoft, the annual Work Trend Index takes a deeper look at the state of generative AI and the impact it is having on our work.
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Generative AI Impact on Workforce Methodology
This technical note presents a comprehensive approach to understanding the impact of Generative AI (GAI) technologies on the workforce based on skills. We outline a technical framework and methodology aligned with the latest literature, composed of three stages: GAI-assisted skill classification; embedding-driven skill classification expansion; and skill-based occupation classification.
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Generative AI and Global Gender Work Classification
We examine gender disparities in the potential impact of generative AI across countries. While impact varies, in nearly all countries, women are more likely to work in disrupted occupations than men, while men are more likely than women to be employed in augmented or insulated roles. The extent of these disparities fluctuates considerably among countries.
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Preparing the Workforce for Generative AI
We analyzed LinkedIn data to identify skills that stand to be affected by new AI technologies, and those that will likely complement them. The insights from this analysis can be used by leaders to inform strategic workforce planning and skilling initiatives.
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Future of Work Report: AI at Work | August 2023
New data from LinkedIn shows how AI is shaping the world of work and how professionals and companies are adapting to this emerging technology.
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Future of Work Report: AI at Work | November 2023
Explore our latest findings and insights around professionals’ conversations and sentiments towards AI; how members globally stand to see their jobs change by the rise of generative AI; and how LinkedIn’s AI-assisted products will create more value for members and customers.
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What is the LinkedIn Economic Graph?
Our graph, which informs a number of our reports, is a real-time dataset updated more than 5 million times per minute as one billion members connect, learn new skills, explore jobs, and gain new knowledge and insights.