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AI Professionals on the Rise: LinkedIn Statistics Unveil Developments in 'Artificial Intelligence' Workforce Trends on Our Site

LinkedIn's Data for Impact program partners with AI Policy Observatory to share up-to-date LinkedIn data on AI workforce patterns. This data helps policymakers grasp the AI ecosystem in a more detailed manner, enabling them to base their decisions on solid evidence. With over one billion...

LinkedIn's Data for Impact program collaborates with the AI Policy Observatory, unveiling current...
LinkedIn's Data for Impact program collaborates with the AI Policy Observatory, unveiling current LinkedIn data on AI workforce patterns. This joint venture aims to equip policymakers with valuable insights into the AI landscape, enabling them to make data-driven decisions. With over a billion LinkedIn members, this economic graph offers a detailed, global depiction of the economy's workforce trends in the AI sector.

LinkedIn's Data for Impact program, in partnership with the AI Policy Observatory, has merged to provide policymakers with critical insights into the latest AI workforce trends. By analyzing data from its more than one billion global members, LinkedIn offers a real-time, granular glimpse of the global economy.

This data determines the AI workforce by identifying members who have added at least two specific AI Engineering skills—such as model training or large language models—to their profile or hold or have held an AI job like AI engineer. This refined definition captures the wider AI workforce, including those engaged in upskilling and AI application across various sectors.

As per the latest data, 7 out of every 1,000 LinkedIn members globally are classified as AI engineering talent, marking a 130% increase since 2016. The highest concentrations of AI engineering talent are found in Israel, Singapore, and Luxembourg. In addition, AI literacy skills, such as ChatGPT and Microsoft Copilot, saw a 600% increase last year.

The growth of AI talent is not merely confined to the technology sector but is also increasingly prominent in professional services, financial services, and education. While men account for 74% more AI engineering skills than women, some industries are reportedly better positioned to close the gender gap.

Increasing concentrations of AI talent across multiple sectors suggest a growing adoption of AI, with ongoing efforts to upskill and utilize AI across various industries. As the use of AI continues to evolve, the fastest-growing AI skills in 2024 included Custom GPTs, AI Productivity, and AI Agents, reflecting the broader shift in AI's focus towards Generative AI and its function as a productivity tool.

The latest LinkedIn data also highlights skill gaps and offers insights into potential drivers, such as gender imbalance, within STEM fields. By aligning workforce development with industry demands, employers, workers, and policymakers can utilize this data to keep pace with the ever-changing nature of AI-related jobs and skills.

  1. The Data for Impact program, in collaboration with the AI Policy Observatory, uses technology to analyze LinkedIn's data from millions of global members, providing insights into how artificial intelligence is expanding beyond the technology sector into education, professional services, and financial services.
  2. As personal growth and self-development increasingly involve acquiring AI literacy skills, the data shows a 600% increase in AI-related skills like ChatGPT and Microsoft Copilot last year, indicating that AI is becoming more prevalent in various sectors, not just technology.
  3. The growing focus on artificial intelligence is also evident in the fastest-growing AI skills for 2024, such as Custom GPTs, AI Productivity, and AI Agents, which reflect the shift towards Generative AI and its function as a productivity tool, aligning with the broader aim of AI as a driving force for personal and professional growth.

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