Making AI Work: The Generative Edge in Workplace Productivity

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.