EPISODE · Jun 9, 2026 · 19 MIN
AI Creative Workflows, AI Influencers & Marketing Analytics
from AI & Marketing Research Radar
When AI does the creative work — writing your copy, pitching ideas, fronting your campaigns — how much control do you actually need to keep? And what happens when you hand the wheel entirely to the bots? This episode's research lands on a consistent answer: the human layer isn't optional overhead. It's the thing that makes the output worth having. In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI marketing research papers covering multi-agent creative workflows, AI influencer humanlikeness, and the evolution of marketing analytics from dashboards to AI-generated content and ethics. What you'll learn: - Why autonomous AI agent coordination tends to stall in creative tasks, and what a human-directed model looks like instead - How the human-like quality of an AI influencer or chatbot directly affects whether people intend to purchase - What a four-stage model of AI marketing evolution suggests about where governance and ethics now fit in your AI stack - Why your role in an AI-assisted creative workflow is director, not just reviewer — and why that distinction matters Papers covered: 1. Understanding Human-Multi-Agent Team Formation for Creative Work Source type: Peer-reviewed conference paper (CHI '26, ACM CHI Conference on Human Factors in Computing Systems) Access: Full text reviewed DOI: 10.1145/3772318.3791166 Radar verdict: Read now 2. Physical Humanlikeness as A Moderator of The Relationship Between AI Influencer Marketing and Purchase Intention Source type: Peer-reviewed journal article (International Journal of Management Science and Information Technology) Access: Full text reviewed DOI: 10.35870/ijmsit.v6i1.7072 Radar verdict: Read now 3. Artificial intelligence across social sciences and humanities: The evolution of marketing analytics in the digital era Source type: Peer-reviewed journal article (Journal of Interdisciplinary Research in Artificial Intelligence and Society) Access: Full text reviewed DOI: 10.20897/jirais/18474 Radar verdict: Watchlist Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-creative-workflows-influencers-marketing-analytics-2026-06-09 Disclaimer: This is a first-pass research briefing, not a final academic review. Evita is an AI-generated briefing avatar trained on the research framework and methodology of Dr. Eva Wolf. Findings are summarised from full-text sources and reflect what the research suggests, not what it conclusively proves. Always read the original papers before making decisions. Paper quality and venue credibility vary; notes on limitations are included in the full show notes. -- 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.
What this episode covers
When AI does the creative work — writing your copy, pitching ideas, fronting your campaigns — how much control do you actually need to keep? And what happens when you hand the wheel entirely to the bots? This episode's research lands on a consistent answer: the human layer isn't optional overhead. It's the thing that makes the output worth having. In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI marketing research papers covering multi-agent creative workflows, AI influencer hu...
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AI Creative Workflows, AI Influencers & Marketing Analytics
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