Source: GP Bullhound Insights,  ​Reuters, UBS, Similarweb, Alphabet (Google), MIT, CNBC, Axios, Doman Name Stat, Databricks, and Our World in Data

Sources: GP Bullhound Insights and Twitter 

With more models being launched as open-source, developers from around the world are collaboratively accelerating the advancement of the entire AI field 

While seemingly disruptive at first, each technological revolution ultimately benefits society by propelling humanity forward

AI is quickly moving from a competitive advantage into a competitive necessity

Sources: GP Bullhound Insights, IDC and Our World in Data
Note: ML = Machine Learning; NLP = Natural Language Processing; 1) Volume of data created and replicated worldwide; 2) Parameters = The AI model's configuration variables, i.e., how many "elements of knowledge" it has that it can create its responses from; and 3) Computing power used to train the largest AI models

Sources: GP Bullhound Insights, State of AI 2022, Our World in Data, and company press releases
Note: Non-exhaustive list of AI models; (#) denotes the model’s parameter count; Parameters = the AI model's configuration variables (i.e., how many "elements of knowledge" it has that it can create its responses from)

Sources: GP Bullhound Insights, MIT Economics, Edelson Institute, Visual Capitalist, OECD, and World Bank

When investing in AI, the standout companies are identified by understanding the unique market opportunities and competitive dynamics within their respective parts of the value chain

Source: GP Bullhound Insights
Note: Rationale varies on a per-company basis

Some segments of the AI value chain are better preconditioned for startup success 

Sources: GP Bullhound Insights, Capital IQ, Global X by Mirae Asset, Forbes, Bloomberg, and company press releases (as of 31 May 2023)
Note: 1) The NASDAQ:AIQ ETF invests in 85 public companies operating across development and utilisation of artificial intelligence technology in their products and services

Sources: GP Bullhound Insights, Pitchbook, Marcaria, and company press releases
Note: 1) "AI" companies per Pitchbook’s category "Artificial Intelligence & Machine Learning"

Source: GP Bullhound Insights
Note: Categorisations are illustrative and non-exhaustive

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