Impact of artificial intelligence on traditional marketing

Reference

Kumar P, Tripti, Kaur S, Sood P. Impact of artificial intelligence on traditional marketing. J Inform Educ Res. 2025;5(1):2812–2816. doi:10.52783/jier.v5i1.2286

Summary

This paper explores how artificial intelligence (AI) is transforming traditional marketing methods, like TV, radio, billboards, and print ads, by enhancing them with data-driven precision, personalization, and automation.

The authors explain that while traditional marketing still holds value, especially for reaching offline or older audiences, AI is making it more efficient, cost-effective, and adaptive. By integrating AI tools into the classic “4Ps” of the marketing mix (Product, Price, Place, Promotion), businesses can:

• Personalize products based on consumer preferences.
• Adjust pricing in real time based on demand and competition.
• Optimize logistics and supply chains for better product placement.
• Create hyper-targeted promotions and even automate content creation.

The paper also compares traditional and AI-powered marketing across several dimensions: cost (AI is cheaper), targeting (AI is more precise), adaptability (AI is real-time), and ROI (AI is easier to measure). Still, traditional marketing offers personal touchpoints and wide reach, making a hybrid approach most effective.

The authors conclude that AI is not replacing traditional marketing. It’s enhancing and evolving it, helping marketers make faster, smarter decisions. They urge scholars and practitioners to move beyond rigid marketing categories and embrace AI as a powerful tool for future-ready strategies.

AI in Marketing’s Take

We’re totally on board with this paper’s message: AI isn’t killing traditional marketing—it’s retooling it for relevance.

At AI in Marketing, we appreciate that the paper moves beyond the tired “old vs. new” debate. Instead, it makes a strong case for integration over replacement. Where it could go further, though, is in digging into the execution gap. Everyone talks about personalization, but how many brands are actually doing it well? Are those real-time pricing models ethical...