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Share of artificial intelligence jobs among all job postings

What you should know about this indicator

  • A job posting is counted as an AI job if it lists at least one AI-related skill identified by Lightcast. The list of skills is updated each year to reflect new developments.
  • The definition is broad, covering technical roles as well as areas such as AI ethics and governance.
  • The data is based on online job postings and does not include roles that are not advertised online.
Share of artificial intelligence jobs among all job postings
Share of job postings that require at least one AI-related skill, such as machine learning, , or natural language processing.
Source
Lightcast via AI Index Report (2026) – with minor processing by Our World in Data
Last updated
April 20, 2026
Next expected update
April 2027
Date range
2014–2025
Unit
%

Sources and processing

This data is based on the following sources

AI Index Report

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.

Retrieved on
April 20, 2026
Retrieved from
https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. “The AI Index 2026 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.

Retrieved on
April 20, 2026
Retrieved from
https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. “The AI Index 2026 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.

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At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

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  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Share of artificial intelligence jobs among all job postings”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska, and Max Roser (2023) - “Artificial Intelligence”. Data adapted from AI Index Report. Retrieved from https://archive.ourworldindata.org/20260424-104218/grapher/share-artificial-intelligence-job-postings.html [online resource] (archived on April 24, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Lightcast via AI Index Report (2026) – with minor processing by Our World in Data

Full citation

Lightcast via AI Index Report (2026) – with minor processing by Our World in Data. “Share of artificial intelligence jobs among all job postings” [dataset]. AI Index Report, “AI Index Report” [original data]. Retrieved April 24, 2026 from https://archive.ourworldindata.org/20260424-104218/grapher/share-artificial-intelligence-job-postings.html (archived on April 24, 2026).

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