AI sources and methodology

https://aiindex.stanford.edu/wp-content/uploads/2023/04/HAI_AI-Index-Report_2023.pdf

https://www.forbes.com/advisor/business/software/ai-in-business/

https://www.forbes.com/advisor/business/ai-statistics/

https://www.reuters.com/technology/chatgpt-traffic-slips-again-third-month-row-2023-09-07/

https://www.pewresearch.org/science/2023/02/15/public-awareness-of-artificial-intelligence-in-everyday-activities/

https://blogs.windows.com/windowsexperience/2023/06/21/microsoft-study-small-businesses-intrigued-by-ai-and-the-opportunities-it-brings/

https://www.forbes.com/advisor/business/artificial-intelligence-consumer-sentiment/

https://www.pewresearch.org/science/2023/02/22/60-of-americans-would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-care/

https://www.pewresearch.org/science/wp-content/uploads/sites/16/2023/02/PS_2023.02.22_AI-health_00-02.png

https://www.rask.ai/research/ai-in-education

https://arxiv.org/abs/2304.03784

https://www.edweek.org/technology/ai-literacy-explained/2023/05

https://www.edweek.org/technology/what-educators-know-about-artificial-intelligence-in-3-charts/2023/07

https://doodlelearning.com/us/math/guides/ai-in-education

https://assets.kpmg.com/content/dam/kpmg/au/pdf/2023/trust-in-ai-global-insights-2023.pdf

https://law.stanford.edu/2023/05/25/opportunities-and-risks-of-artificial-intelligence-in-the-public-sector/

https://www.cnas.org/publications/reports/the-american-ai-century-a-blueprint-for-action

https://www.statista.com/statistics/1334826/ai-in-healthcare-market-size-worldwide/

https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-healthcare-market

https://www.statista.com/outlook/dmo/eservices/online-education/worldwide

https://www.gminsights.com/pressrelease/artificial-intelligence-ai-in-education-market

https://www.weforum.org/publications/the-future-of-jobs-report-2023/

https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Accenture-A-New-Era-of-Generative-AI-for-Everyone.pdf

https://www.weforum.org/publications/the-future-of-jobs-report-2023/future-of-jobs-data-explorer/

https://www.nitrd.gov/pubs/FY2023-NITRD-NAIIO-Supplement.pdf

https://comptroller.defense.gov/Portals/45/Documents/defbudget/FY2023/FY2023_Budget_Request_Overview_Book.pdf

Data sources and methodology for ‘Government investment in AI’

https://oecd.ai/en/data?selectedArea=investments-in-ai-and-data&selectedVisualization=vc-investments-in-ai-by-country

https://data.worldbank.org/indicator/NY.GDP.MKTP.CD

https://oecd.ai/en/preqin

Data from 2017-23 was used to forecast the future trends for Government investment in AI, to calculate how much each country would need to spend in order to catch up with the U.S. by 2030, 2040, and 2050. In addition, a calculation was also made for how many years it would take each country to catch up with the U.S. if their level of AI investment remained the same as 2023 going forward.

Data sources for ‘AI in the workplace’ 

https://ai-jobs.net/salaries/

https://www.kaggle.com/datasets/joyshil0599/data-science-jobs-comprehensive-dataset/data

https://www.oecd.org/publications/emerging-trends-in-ai-skill-demand-across-14-oecd-countries-7c691b9a-en.htm

https://oecd.ai/en/data?selectedArea=ai-jobs-and-skills

Data from 2017-23 was used to forecast the future trends in AI workplace statistics between 2024 and 2030.

Methodology for survey data

Our survey was conducted in December 2023 and involved 6,000 U.S. adults. In order to make the survey as representative as possible, a minimum of 100 people were selected from each state, across age ranges and genders.