{"id":1228089,"name":"External funding for privately held AI companies - Field: All","unit":"constant 2021 US 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Kingdom","code":"GBR"},{"id":13,"name":"United States","code":"USA"},{"id":63,"name":"Uruguay","code":"URY"},{"id":62,"name":"Uzbekistan","code":"UZB"},{"id":238,"name":"Venezuela","code":"VEN"},{"id":84,"name":"Vietnam","code":"VNM"},{"id":355,"name":"World","code":"OWID_WRL"},{"id":60,"name":"Zambia","code":"ZMB"},{"id":80,"name":"Zimbabwe","code":"ZWE"}]}},"descriptionShort":"Money put into privately held AI companies by private investors. 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. Data for 2026 is incomplete and includes investments up to April 2026.","descriptionProcessing":"- We adjust the data for inflation so that values can be compared across years.\n- 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.\n- We calculate regional and global totals from the country-level data CSET provides, following our [region definitions](https://ourworldindata.org/world-region-map-definitions). Countries that are not covered by the source are excluded from these totals. We do not show Africa's regional total. The source covers too few African countries to produce a meaningful aggregate.","type":"int","grapherConfigIdETL":"019dddae-fb45-7c3c-8a49-de2e4fc82834","datasetName":"Country Activity Tracker: Artificial Intelligence","updatePeriodDays":180,"datasetVersion":"2026-04-27","nonRedistributable":false,"display":{"unit":"constant 2021 US dollars","shortUnit":"$","numDecimalPlaces":0},"schemaVersion":2,"processingLevel":"major","presentation":{"attributionShort":"CSET","topicTagsLinks":["Artificial Intelligence"]},"descriptionKey":["The data covers external private-market investment in AI companies, including venture capital deals, private equity deals, and mergers and acquisitions.","It excludes internal corporate R&D, capital spending, and government funding. Publicly traded companies, including large technology firms, are also excluded.","Because this is only one type of funding, the data understates total global spending on AI.","A small number of very large deals can drive big year-on-year swings. Broader economic conditions, such as interest rates and investor sentiment, also affect totals in ways that are not specific to AI.","CSET's figure for 2026 is preliminary and is likely to rise as more deals are reported. We show it to provide a more current view, but it may change as CSET updates its estimates.","The \"World\" total only includes countries that are covered by the source, so it understates global activity."],"origins":[{"id":14419,"title":"Country Activity Tracker: Artificial Intelligence","description":"ETO's Country AI Activity Metrics dataset includes national-level metrics for AI-related research, patents, and private-market investment.\n\nThe metrics are derived from a variety of underlying data sources, including ETO's Merged Academic Corpus for research data; The Lens, PATSTAT, and 1790 Analytics for patents; and Crunchbase for company and investment data.\n\nThe dataset focuses on countries, not organizations or individuals, and on AI and its subfields. There are many ways to assess countries' AI activities, and the three types of metrics included here, while meaningful, are not exhaustive. The data also has a lag, making counts incomplete for recent years; the lag is especially significant for patent data.","producer":"Center for Security and Emerging Technology","citationFull":"Emerging Technology Observatory [Country Activity Tracker: Artificial Intelligence](https://cat.eto.tech/?expanded=Summary-metrics)","attributionShort":"CSET","urlMain":"https://cat.eto.tech/","urlDownload":"https://zenodo.org/records/19103157/files/cat.zip?download=1","dateAccessed":"2026-04-27","datePublished":"2026-03-19","license":{"url":"https://eto.tech/tou/","name":"CC BY-NC 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"}}]}