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Data

Share of artificial intelligence jobs among all job postings

See all data and research on:
Artificial Intelligence

What you should know about this indicator

  • Lightcast classifies a job as an AI job if it mentions at least one AI-related skill in the posting text.
  • AI-related skills are grouped into categories like machine learning and neural networks, natural language processing, generative AI, robotics and autonomous systems, computer vision, and AI ethics and governance.
  • This method helps track employer demand for AI skills over time using real-time job posting data.
Share of artificial intelligence jobs among all job postings
A job posting is considered an AI job if it requests one or more AI skills, e.g., "natural language processing", "neural networks", "machine learning", or "robotics".
Source
Lightcast via AI Index Report (2025) – with minor processing by Our World in Data
Last updated
April 8, 2025
Next expected update
April 2026
Date range
2014–2024
Unit
%

Related research and writing

Artificial intelligence has advanced despite having few resources dedicated to its development — now investments have increased substantially

Max Roser

Sources and processing

This data is based on the following sources

Lightcast via AI Index Report – 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 8, 2025
Retrieved from
https://aiindex.stanford.edu/wp-content/uploads/2024/04/HAI_2024_AI-Index-Report.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.
Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik
Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald,
Tobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak. “The AI Index 2025
Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2025

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 8, 2025
Retrieved from
https://aiindex.stanford.edu/wp-content/uploads/2024/04/HAI_2024_AI-Index-Report.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.
Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik
Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald,
Tobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak. “The AI Index 2025
Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2025

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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 Lightcast via AI Index Report. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/share-artificial-intelligence-job-postings.html [online resource] (archived on March 4, 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 (2025) – with minor processing by Our World in Data

Full citation

Lightcast via AI Index Report (2025) – with minor processing by Our World in Data. “Share of artificial intelligence jobs among all job postings” [dataset]. Lightcast via AI Index Report, “AI Index Report” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/share-artificial-intelligence-job-postings.html (archived on March 4, 2026).

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Data URL (CSV format)
https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/share-artificial-intelligence-job-postings.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear