January 2026
Beginner to intermediate
352 pages
8h 35m
English
Content preview from Degrees of Change
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AppendixAdditional Resources
Introduction
- AI for Good Lab – Microsoft Research (n.d.). Microsoft AI Economy Institute. Available at:
https://aka.ms/AIEconomyInstitute[Accessed 30 September 2025]. - Comin, D. and Mestieri, M. (2014). “Technology diffusion: Measurement, causes, and consequences,” Handbook of Economic Growth, Vol. 2, pp. 565–622. Elsevier.
- McKinsey (2023). The state of AI in 2023: Generative AI’s breakout year. Available at:
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year[Accessed 10 January 2025]. - Microsoft Research (n.d.) AI for Good Research Lab – Microsoft Research. Available at:
https://aka.ms/AIForGoodLab[Accessed 3 October 2025].
Chapter 1: A 75-Year Journey and the Diffusion Divide
- Bacon, R. and Kojima, M. (2016). “Energy, economic growth, and poverty reduction: A literature review.” Washington, DC: World Bank. Available at:
https://documents1.worldbank.org/curated/en/312441468197382126/pdf/104866-v1-revised-public-main-report.pdf[Accessed: 1 October 2025]. - Birdsall, N. et al. (1993). The East Asian miracle: Economic growth and public policy. Main report. Washington, DC: World Bank.
- Bresnahan, T.F. and Trajtenberg, M. (1995). “General purpose technologies: ‘Engines of growth’?”, Journal of Econometrics, 65(1), pp. 83–108.
- Brynjolfsson, E., Li, D. and Raymond, L.R. (2025). “Generative AI at Work,” Quarterly Journal of Economics, 140(2), pp. 889–942.
- Calvino, F., Haerle, D. and ...
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