id,name,unit,description,createdAt,updatedAt,code,coverage,timespan,datasetId,sourceId,shortUnit,display,columnOrder,originalMetadata,grapherConfigAdmin,shortName,catalogPath,dimensions,schemaVersion,processingLevel,processingLog,titlePublic,titleVariant,attributionShort,attribution,descriptionShort,descriptionFromProducer,descriptionKey,descriptionProcessing,licenses,license,grapherConfigETL,type,sort,dataChecksum,metadataChecksum
946943,Global private investment in AI,constant 2021 US$,,2024-07-02 19:13:37,2024-07-22 08:46:10,,,2013-2023,6605,,$,"{""unit"": ""constant 2021 US$"", ""shortUnit"": ""$"", ""numDecimalPlaces"": 0}",0,,,world,grapher/artificial_intelligence/2024-06-28/ai_private_investment/ai_private_investment#world,,2,major,,,,,,"Includes companies that received more than $1.5 million in investment (not adjusted for inflation). This data is expressed in US dollars, adjusted for inflation.",,"[""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?](https://epochai.org/blog/how-much-does-it-cost-to-train-frontier-ai-models) by EPOCH.""]","- 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.",,,"{""note"": ""This data is expressed in constant 2021 US$. Inflation adjustment is based on the US Consumer Price Index (CPI).""}",int,[],28305173131de20638d8547d013d7f84,d8c732db75b18823fbc73cb87d4cf0d5
946942,Private investment in AI in the European Union and United Kingdom,constant 2021 US$,,2024-07-02 19:13:37,2024-07-22 08:46:10,,,2013-2023,6605,,$,"{""unit"": ""constant 2021 US$"", ""shortUnit"": ""$"", ""numDecimalPlaces"": 0}",0,,,european_union_and_united_kingdom,grapher/artificial_intelligence/2024-06-28/ai_private_investment/ai_private_investment#european_union_and_united_kingdom,,2,major,,,,,,"Includes companies that received more than $1.5 million in investment (not adjusted for inflation). This data is expressed in US dollars, adjusted for inflation.",,"[""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?](https://epochai.org/blog/how-much-does-it-cost-to-train-frontier-ai-models) by EPOCH.""]","- 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.",,,"{""note"": ""This data is expressed in constant 2021 US$. Inflation adjustment is based on the US Consumer Price Index (CPI).""}",int,[],e097cda64a07628ed1435c88ee0eba36,9f5cbddd343b7ae01d14345a10724891
946941,Private investment in AI in the United States,constant 2021 US$,,2024-07-02 19:13:37,2024-07-22 08:46:10,,,2013-2023,6605,,$,"{""unit"": ""constant 2021 US$"", ""shortUnit"": ""$"", ""numDecimalPlaces"": 0}",0,,,united_states,grapher/artificial_intelligence/2024-06-28/ai_private_investment/ai_private_investment#united_states,,2,major,,,,,,"Includes companies that received more than $1.5 million in investment (not adjusted for inflation). This data is expressed in US dollars, adjusted for inflation.",,"[""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?](https://epochai.org/blog/how-much-does-it-cost-to-train-frontier-ai-models) by EPOCH.""]","- 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.",,,"{""note"": ""This data is expressed in constant 2021 US$. Inflation adjustment is based on the US Consumer Price Index (CPI).""}",int,[],04afbd3f7585edd07b48de38a93f5dad,dfcdac5ddbd83c3157e235cdfd9a1432
946940,Private investment in AI in China,constant 2021 US$,,2024-07-02 19:13:37,2024-07-22 08:46:10,,,2013-2023,6605,,$,"{""unit"": ""constant 2021 US$"", ""shortUnit"": ""$"", ""numDecimalPlaces"": 0}",0,,,china,grapher/artificial_intelligence/2024-06-28/ai_private_investment/ai_private_investment#china,,2,major,,,,,,"Includes companies that received more than $1.5 million in investment (not adjusted for inflation). This data is expressed in US dollars, adjusted for inflation.",,"[""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?](https://epochai.org/blog/how-much-does-it-cost-to-train-frontier-ai-models) by EPOCH.""]","- 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.",,,"{""note"": ""This data is expressed in constant 2021 US$. Inflation adjustment is based on the US Consumer Price Index (CPI).""}",int,[],0f423a895b3247ae4e14cc69121b0de1,52a89099d3ecff6d83039457abeb9e20