Global investment in generative AI
What you should know about this indicator
- The source is not clear about the extent to which investment figures cover infrastructure, computational power, and support services required to develop, deploy, and operationalize AI applications
- For more information on how the costs to train frontier AI models are distributed refer to the article How Much Does It Cost to Train Frontier AI Models? by EPOCH.
Sources and processing
This data is based on the following sources
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All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.
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.
Notes on our processing step for this indicator
- Reporting a time series of AI investments in nominal prices (i.e., without adjusting for inflation) means it makes little sense to compare observations across time; it is therefore not very useful. To make comparisons across time possible, one has to take into account that prices change (e.g., there is inflation).
- It is not obvious how to adjust this time series for inflation, and we debated it at some length within our team.
- It would be straightforward to adjust the time series for price changes if we knew the prices of the specific goods and services that these investments purchased. This would make it possible to calculate a volume measure of AI investments, and it would 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 for some crucial AI technology has fallen rapidly in price.
- 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. In the end we decided to use the US Consumer Price Index (CPI).
- 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.
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Citations
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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: Global investment in generative AI”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska and Max Roser (2023) - “Artificial Intelligence”. Data adapted from Quid via AI Index, U.S. Bureau of Labor Statistics. Retrieved from https://ourworldindata.org/grapher/global-investment-in-generative-ai [online resource]
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:
Quid via AI Index (2024); U.S. Bureau of Labor Statistics (2024) – with major processing by Our World in Data
Full citation
Quid via AI Index (2024); U.S. Bureau of Labor Statistics (2024) – with major processing by Our World in Data. “Global investment in generative AI” [dataset]. Quid via AI Index, “AI Index Report”; U.S. Bureau of Labor Statistics, “US consumer prices” [original data]. Retrieved October 15, 2024 from https://ourworldindata.org/grapher/global-investment-in-generative-ai