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AI & Marketing Research Radar
2026-06-03 · AI and marketing · 80 papers screened · 2 selected
First-pass research briefing, not a final academic review. Always read the original paper before citing.
Paper A
Physical Humanlikeness as A Moderator of The Relationship Between AI Influencer Marketing and Purchase Intention
Rahyono Rahyono, Ayu Nursari, Lestari Wuryanti, Reza Hardian Pratama — 2026 — International Journal of Management Science and Information Technology
peer reviewed journal article · · test this week
https://doi.org/10.35870/ijmsit.v6i1.7072
Key findings
- When an AI influencer looks and talks more like a real person — using empathetic language, personalized replies, and emotional cues — people are more likely to buy the product it promotes.
- Physical human-likeness acts as a booster: the more human an AI influencer appears, the stronger the link between seeing its content and deciding to buy.
- AI influencers that engage customers in realistic, human-style conversations drive more interaction and engagement, which in turn raises purchase intent.
- The study suggests that making an AI feel human matters as much as the underlying technology — it's not just about how smart the AI is, but how relatable it seems.
Marketing implications
- If you're building or hiring a virtual AI influencer, make it sound warm and personal — use empathetic language, respond to comments in a conversational tone, and acknowledge emotions. That style appears to push people closer to buying.
- When briefing an AI-powered chatbot or virtual brand spokesperson, prioritize how human it feels over how technically impressive it is. A friendlier, more relatable AI may outperform a smarter but colder one.
- Test two versions of your AI influencer content: one that's more robotic and informational, one that mimics natural human expression. Check which drives more clicks or saves — this paper suggests the human-like version will win.
Paper B
Innovative and Sustainable Pathways in Hospitality and Tourism Businesses: How AI, Digital Innovation, and Organizational Agility Enhance Marketing Performance
Abrar Alhomaid, Bassam Samir Al-Romeedy — 2026 — GeoJournal of Tourism and Geosites
peer reviewed journal article · open access · use cautiously
https://doi.org/10.30892/gtg.65225-1730
Key findings
- Hotels that used more AI in their marketing reported stronger marketing results — including better customer acquisition, retention, and market share growth — compared to those using less AI.
- AI didn't only help marketing directly. It also made hotels better at two things: (1) coming up with new digital products and services, and (2) adapting quickly when market conditions changed. Both of those improvements then also boosted marketing results.
- When you account for both the direct effect of AI and its indirect effects through innovation and agility, AI explains a meaningful share of marketing performance improvement — meaning the full benefit of AI is larger than it first appears.
- The study found that neither innovation nor agility alone is sufficient — hotels that combined AI with both digital innovation practices AND a fast-adapting organization saw the strongest marketing outcomes.
Marketing implications
- If you're a hotel or tourism marketer thinking about AI tools, don't just plug in a chatbot and call it done — this study suggests the gains are bigger when you also rethink your processes: update how your team launches new digital services and make it easier to change campaigns quickly when conditions shift.
- When pitching AI investment to your hotel's leadership, frame it as three wins in one: it directly improves marketing results, AND it makes your team more innovative, AND it makes you faster to react to market changes.
- If you already have AI tools but aren't seeing big marketing improvements, check whether your team is actually using AI insights to launch new ideas (digital innovation) and whether your approval processes are fast enough to act on those insights quickly (agility) — those two factors amplify AI's impact.
AI & Marketing Research Radar — Big Plans Media — 2026-06-03
