Artificial Intelligence (A.I.) is already a part of our everyday lives.  From Alexa to autonomous vehicles, we use A.I. everyday. But many experts see these first steps of A.I. integration as “basic” and are waiting for the next generation of A.I. advancement to further enhance our everyday lives.  To that, the global artificial intelligence industry is expected to grow from $59.7 billion in 2021 to $422.4 billion in 2028. 

Industry experts believe A.I. will be supplanted everywhere within our daily lives. This could range from investment management to “smart calendars” to grocery shopping.  As we see the global investment into A.I. skyrocket with a growth rate of 115% year over year (2021 data), we can expect many subsequent A.I. products and services be integrated into our daily lives in the coming years.

The BlueStar® Artificial Intelligence Index (ticker: BAIPR) tracks the performance of the largest and most liquid companies in the global artificial intelligence industry. This is a modified market cap-weighted index, and only includes companies that generate at least 50% of their revenue from products or services required for either machine learning or inference/'Applied Ai', such as productivity software, big data analytics related to machine learning, embedded machine learning semiconductors, sensors and signal processors for machine vision, natural language processing and voice recognition, or proprietary artificial intelligence software or services.

BlueStar® Artificial Intelligence Index


Source: MarketVector IndexesTM. Data as of November 22, 2022.

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About the Author:

Alex Butler is a Business Development Associate at MarketVector Indexes GmbH. At MarketVector IndexesTM, Alex works closely with the business teams and clients to help tailor indexes and index data to meet client needs. Prior to joining MarketVector IndexesTM, Alex led the Americas Business Development team at S&P Global (Formerly IHS Markit, Markit) for ETF and Index Management. Alex is a product expert for ETF and index data. Alex studied at Elon University with a BA in Economics along with a focus on Information Science.


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