{"id":1227952,"name":"Global corporate investment in AI","unit":"constant 2021 US$","createdAt":"2026-04-24T10:39:36.000Z","updatedAt":"2026-04-24T10:39:36.000Z","coverage":"","timespan":"2013-2025","datasetId":7803,"shortUnit":"$","columnOrder":0,"shortName":"corporate_investment","catalogPath":"grapher/artificial_intelligence/2026-04-20/ai_index/ai_corporate_investment#corporate_investment","descriptionShort":"Annual corporate-finance transactions involving privately held AI companies, broken down by type. This excludes publicly traded companies (e.g., Big Tech companies) and companies’ internal spending, such as R&D or infrastructure. Expressed in US dollars, adjusted for inflation.","descriptionProcessing":"- Reporting a time series of AI investments in nominal prices would make it difficult to compare observations across time. To make these comparisons possible, one has to take into account that prices change (inflation).\n- It is not obvious how to adjust this time series for inflation, and our team discussed the best solutions at our disposal.\n- It would be straightforward to adjust the time series for price changes if we knew the prices of the specific goods and services purchased through these investments. This would make it possible to calculate a volume measure of AI investments and tell us how much these investments bought. But such a metric is not available. While a comprehensive price index is not available, we know that the cost of some crucial AI technology has fallen rapidly in price.\n- In the absence of a comprehensive price index that captures the price of AI-specific goods and services, one has to rely on one of the available metrics for the price of a bundle of goods and services. Ultimately, we decided to use the US Consumer Price Index (CPI).\n- The US CPI does not provide us with a volume measure of AI goods and services, but it does capture the opportunity costs of these investments. The inflation adjustment of this time series of AI investments, therefore, lets us understand the size of these investments relative to whatever else these sums of money could have purchased.","type":"int","grapherConfigIdETL":"019dbf12-d8aa-7280-bb7d-423502c32f24","datasetName":"AI Index Report","updatePeriodDays":365,"datasetVersion":"2026-04-20","nonRedistributable":false,"display":{"unit":"constant 2021 US$","shortUnit":"$","numDecimalPlaces":0},"schemaVersion":2,"processingLevel":"major","presentation":{"attribution":"Quid via AI Index Report (2026); U.S. Bureau of Labor Statistics (2026)","topicTagsLinks":["Artificial Intelligence"]},"descriptionKey":["This data focuses on transactions involving privately held AI companies,.","It does not include internal corporate R&D, capital expenditure (CapEx), or public-sector funding. Publicly traded companies, including large tech firms, are excluded.","Because this data covers only one form of financing, it underestimates total global spending on AI.","Large single deals can cause spikes in specific years. Broader economic conditions (interest rates, investor sentiment) can also drive changes that are not specific to AI.","This data includes four types of corporate deals:\n  - A merger is a corporate strategy involving two companies joining together to form a new company. An acquisition is a corporate strategy involving one company buying another company.\n  - Private investment is defined as investment in AI companies of more than $1.5 million (in current US dollars).\n  - A public offering is the sale of equity shares or other financial instruments to the public in order to raise capital.\n  - A minority stake is an ownership interest of less than 50% of the total shares of a company."],"dimensions":{"years":{"values":[{"id":2013},{"id":2014},{"id":2015},{"id":2016},{"id":2017},{"id":2018},{"id":2019},{"id":2020},{"id":2021},{"id":2022},{"id":2023},{"id":2024},{"id":2025}]},"entities":{"values":[{"id":304405,"name":"Merger/acquisition","code":null},{"id":304406,"name":"Minority stake","code":null},{"id":304407,"name":"Private investment","code":null},{"id":304408,"name":"Public offering","code":null},{"id":34678,"name":"Total","code":null}]}},"origins":[{"id":14378,"title":"AI Index Report","description":"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.","producer":"AI Index Report","citationFull":"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.","attributionShort":"AI Index Report","urlMain":"https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf","dateAccessed":"2026-04-20","datePublished":"2026-04-13","license":{"url":"https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf","name":"CC BY-ND 4.0"}},{"id":14227,"title":"US consumer prices","description":"The Bureau of Labor Statistics reports the monthly Consumer Price Index (CPI) of individual goods and services for urban consumers at the national, city, and state levels. CPI is presented on an annual basis, which we have derived as the average of the monthly CPIs in a given year.","producer":"U.S. Bureau of Labor Statistics","citationFull":"U.S. Bureau of Labor Statistics","urlMain":"https://www.bls.gov/data/tools.htm","dateAccessed":"2026-03-20","datePublished":"2026","license":{"url":"https://www.bls.gov/opub/copyright-information.htm","name":"Public domain"}}]}