Artificial Intelligence (AI) and Marketing Dilemmas
Pawan Kumar (),
Sumesh Singh Dadwal (),
Sanjay Modi (),
Arsalan Mujahid Ghouri () and
Hamid Jahankhani ()
Additional contact information
Pawan Kumar: Lovely Professional University
Sumesh Singh Dadwal: London Southbank University
Sanjay Modi: Lovely Professional University
Arsalan Mujahid Ghouri: London Southbank University
Hamid Jahankhani: Northumbria University
Chapter Chapter 10 in The Dark Side of Marketing, 2025, pp 249-288 from Springer
Abstract:
Abstract Marketers face a dilemma while deciding whether to use artificial intelligence (AI) in marketing or not. The application of artificial intelligence (AI) in marketing brings in complex challenges and opportunities at the same time. On the one hand, AI enables efficiency, data analytics, predictive analytics, automation, hyper-personalisation, dynamic pricing, and effective promotional and distribution practices; however, on the other hand it raises dilemmas of biasedness and fairness, consumer privacy and security, consumer manipulations and market grooming, transparency and autonomy, consumer trust and authenticity, ethical use of AI in influencer marketing, regulation and governance, over-reliance of technology, and automation and job loses, etc. This chapter explores and discusses the application of AI in marketing, a range of decision dilemmas, and guides a way forward for marketing decision-makers.
Keywords: AI and Marketing; Hyper-personalisation; Marketing dilemma; Ethical marketing; Market grooming; Consumer manipulations; Dark patterns; AI bias; Consumer privacy; Influencer marketing (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-94946-3_10
Ordering information: This item can be ordered from
http://www.springer.com/9783031949463
DOI: 10.1007/978-3-031-94946-3_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().