We're diving into the transformative role of generative AI in the workplace and examine if and how it impacts business productivity.

Some of the questions we explore are: Should managers be unleashing the power of generative AI on everything in sight, or should they take a more measured approach? Does ChatGPT merely augment human capabilities or is destined to replace us? Is there still a role for human intuition in the AI era? And, can Sean do mental math?

In our discussion, we draw on the following studies:

• Brynjolfsson, E., Li, D., & Raymond, L.R. (2023). Generative AI at work (Working Paper 31161). National Bureau of Economic Research.


• Damioli, G., Van Roy, V., & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review, 11, 1–25.


• Deranty, J.-P., & Corbin, T. (2022). Artificial Intelligence and work: A critical review of recent research from the social sciences. AI & SOCIETY, 1–17.


• Enholm, I.M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734.


• Fügener, A., Grahl, J., Gupta, A., & Ketter, W. (2022). Cognitive challenges in Human–Artificial Intelligence Collaboration: Investigating the path toward productive delegation. Information Systems Research, 33(2), 678–696.


• Jarrahi, M.H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586.


• Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. SSRN. https://ssrn.com/abstract=4375283


• Ransbotham, S., Khodabandeh, S., Kiron, D., Candelon, F., Chu, M., & LaFountain, B. (2020). Expanding AI’s impact with organizational learning. MIS Sloan Management Review – Research Report.