Evidence-led briefings that translate peer-reviewed studies and important preprints on artificial intelligence, generative AI, marketing, advertising, consumer behavior, and business strategy into practical insight. Dr. Eva Wolf explains what the evidence actually says, what deserves a deeper read, and what marketers, consultants, educators, and business leaders can do next.
AI Expert Forecasts: What 2,800 Researchers Say Is Coming
The people who build AI — nearly 2,800 researchers publishing at the field's top venues — just moved their own timeline for AI surpassing human performance at most tasks up by thirteen years. In a single year. This episode asks: should that change how you're planning right now?
In this Research Radar Brief, Dr. Eva Wolf reviews one AI marketing research paper that cleared the full-text bar from a screen of 12 recent papers, covering expert probability forecasts on AI capability milestones, c...
22 Sept 2026
AI Capability Benchmarks: What Marketers Need to Know
Your vendor just told you their AI is approaching AGI-level performance. Your board wants to know if that means anything. And most marketing teams have no framework for answering either question.
In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI capability papers — none of which study marketing directly — that together provide a rigorous vocabulary for evaluating AI tools, cutting through benchmark hype, and deciding how much autonomy to give AI in your workflows.
A note on thi...
18 Sept 2026
AI Marketing Adoption: Leadership, Trust & the Human Problem
Your company bought an AI marketing tool. Leadership signed off. IT set it up. Six months later — nobody is using it. This episode, three research papers point at exactly that problem. And the fix is not what most teams are reaching for.
In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI marketing research papers covering AI adoption in small and medium businesses, enterprise AI deployment failures, and the psychology of consumer trust in AI-powered marketing.
What you'll learn:...
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