AI Marketing Research: Data Gaps, Trust Risks & Personalization

You have the data. The CRM is full. The analytics dashboards are humming. So why aren't your marketing results improving? That's the tension running through this episode. Three recent papers all circle the same uncomfortable question: when does AI actually help, and when does it quietly fail you? In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI marketing research papers covering AI adoption as a performance mediator, consumer psychology risks from AI-generated creative, and the ethics and governance of AI personalization. What you'll learn: - Why having more data doesn't automatically improve marketing performance — and what the missing link is - What an Egyptian B2B study of 148 managers found about AI adoption and marketing outcomes - Why AI-generated ads can trigger an uncanny valley response that quietly erodes brand trust - What "model collapse" means for AI marketing tools trained on synthetic data - How AI personalization has evolved from simple rules to real-time neural networks - What a responsible AI marketing framework looks like before you scale a personalization campaign - Key limitations to watch: sample size, cross-sectional design, literature review sourcing, and journal tier Papers covered: 1. The Mediation Role Played by AI Adoption in the Relationship Between Information Processing Requirements and Marketing Performance Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: Management & Sustainability: An Arab Review, 2026 Link: https://doi.org/10.1108/msar-09-2025-0354 2. The Convergence of Artificial Intelligence, Consumer Psychology, and Marketing Strategy in the Digital Age Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: International Journal of Scientific Research in Engineering and Management, 2026 Link: https://doi.org/10.55041/ijsrem.ncdtaim032 3. The Use of Artificial Intelligence for Personalized Advertising and Marketing Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: International Journal of Advanced Research in Science, Communication and Technology, 2026 Link: https://doi.org/10.48175/ijarsct-32854 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-research-data-gaps-trust-risks-personalization-2026-05-26 Disclaimer: This is a first-pass research briefing, not a final academic review. Summaries are based on available abstracts and metadata. Read the original papers before making business or strategic decisions. Findings should not be treated as established conclusions without further verification. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.