Artificial Intelligence in Sales: Bridging Theory and Practice – A Book Review
DOI:
https://doi.org/10.14513/tge-jres.00609Keywords:
artificial Intelligence, sales, managementAbstract
This review provides a critical examination of Livia Rainsberger's 2022 book titled "AI – The New Intelligence in Sales," which offers a practically relevant but theoretically grounded approach to the integration of artificial intelligence into modern sales organizations. The book is explicitly targeted at small and medium-sized enterprises (SMEs) and provides a functionally focused analysis of AI tools, their applications, and the strategic implications for both sales performance and labor force development. By focusing on Artificial Narrow Intelligence (ANI) and eschewing futurist notions of AGI and ASI, Rainsberger makes an urgent case for action now. This review situates the book's applicability in current scholarly discourse, highlights contributions, establishes limitations, and offers avenues for further research in AI-driven sales transformation.
References
Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.
Antonio, V. (2018). Sales ex machina: How artificial intelligence is changing the world of selling. Smarter Selling Press.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley.
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Eamon Dolan/Houghton Mifflin Harcourt.
Rainsberger, L. (2022). AI – The new intelligence in sales: Tools, applications and potentials of artificial intelligence. Springer. https://doi.org/10.1007/978-3-658-38251-3
Siegel, E. (2016). Predictive analytics: The power to predict who will click, buy, lie, or die (Rev. ed.). Wiley.
Sterne, J. (2017). Artificial intelligence for marketing: Practical applications. Wiley.
Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203. https://doi.org/10.5465/amr.2002.6587995
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Copyright (c) 2026 Luca Braun (Author)
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