It has only been six weeks since we’ve discussed the future of artificial intelligence.  But since then, OpenAI released a research version of ChatGPT, which is a dialogue-based artificial intelligence model.  
ChatGPT hit the ground running with over 1 million users in the first 5 days and has sparked the interest of the masses.  Despite ChatGPT only being a “research version” of the model used to gather feedback, ChatGPT seems to be the most advanced conversational A.I. model in the market.  By no means is it a perfect application, ChatGPT relies on old information (Data cut-off of 2021) and maintains a relatively high hit rate of producing inaccurate responses.
But aside from its early success, the most critical piece to this launch is exposing the wider public to some of the A.I. use cases of the future like a search engine, and code generator, among many others.  Artificial Intelligence, in the future, can and will replace many of our everyday applications.  Today, there are many other models and applications out on the market that have established integrations into our everyday lives or are developing models for the future.
The BlueStar® Artificial Intelligence Index (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 January 3, 2023.

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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. Before 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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