『AI & Marketing Research with Dr. Eva Wolf』のカバーアート

AI & Marketing Research with Dr. Eva Wolf

AI & Marketing Research with Dr. Eva Wolf

著者： Dr. Eva Wolf
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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.

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  • AI Expert Forecasts: What 2,800 Researchers Say Is Coming

    AI Expert Forecasts: What 2,800 Researchers Say Is Coming
    2026/09/22
    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, creative AI timelines, and the risks researchers themselves are most worried about. What you'll learn: - Why AI researchers now put a 50% probability on AI outperforming humans at every task by 2047 — a forecast that moved up 13 years in one year - What near-term milestones researchers expect by 2028, including autonomous product coding and AI-generated music indistinguishable from human artists - Why full job automation is still forecast to be nearly a century away, even if AI capability milestones arrive sooner - How between 38% and 51% of AI researchers assess at least a 10% chance of catastrophic AI outcomes — and what that means for brand trust and content strategy - What the marketing planning implications are when your own vendors' scientists are this uncertain about the pace of change Papers covered: 1. Thousands of AI Authors on the Future of AI Source type: Preprint (not yet peer-reviewed) Access: Full text reviewed Source: https://arxiv.org/abs/2401.02843 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-expert-forecasts-marketing-researchers-survey-2026-09-22 Disclaimer: This is a first-pass research briefing, not a final academic review or professional advice. The paper covered is a preprint and has not completed formal peer review. Findings reflect what the research suggests at this stage — not confirmed conclusions. Always read the original source before making decisions based on any research discussed here. -- 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.

    Thanks for listening to AI & Marketing Research Radar by Big Plans Media.

    I’m Dr. Eva Wolf, and I help marketers, educators, consultants, and business owners turn AI marketing research into practical strategy, smarter workflows, and real business opportunities.

    More episodes: https://bigplans.media/ai-marketing-research-radar/
    Consulting: https://bigplans.media/ai-marketing-consulting/

    Big Plans Media — Where Big Ideas Meet Smart Marketing.
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    11 分
  • AI Capability Benchmarks: What Marketers Need to Know

    AI Capability Benchmarks: What Marketers Need to Know
    2026/09/22
    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 this episode: all three papers were screened for direct AI + marketing relevance and scored below the show's standard threshold. They are covered here because the script excerpt and pipeline context indicate Dr. Eva Wolf made an editorial decision to include them for their practical vendor-evaluation value. The findings are presented as the original authors intended — as frameworks and theoretical proposals, not empirical marketing evidence. What you'll learn: - Why task-specific AI benchmark scores can be misleading when evaluating tools for marketing work - How a tiered AGI capability model (Emerging to Superhuman) can help you parse vendor claims more precisely - Why the amount of human oversight you apply to an AI system is a separate choice from how capable that system is - How to use a 10-faculty cognitive breakdown to scope what an AI tool can and cannot reliably do - Why training-data volume can inflate benchmark scores without reflecting real adaptability Papers covered: 1. Levels of AGI for Operationalizing Progress on the Path to AGI Source: Conference paper — International Conference on Machine Learning (ICML 2024), likely peer-reviewed Access: Full text reviewed Authors: Morris, Sohl-Dickstein, Fiedel, Warkentin, Dafoe, Faust, Farabet, Legg (Google DeepMind) Link: https://arxiv.org/abs/2311.02462 2. On the Measure of Intelligence Source: Preprint — arXiv (2019). Not peer-reviewed. Access: Full text reviewed Authors: Francois Chollet Link: https://arxiv.org/abs/1911.01547 3. Measuring Progress Toward AGI: A Cognitive Framework Source: Preprint — arXiv (2026), Google DeepMind. Not peer-reviewed. Access: Full text reviewed Authors: Burnell et al. Link: https://arxiv.org/abs/2605.28405 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-capability-benchmarks-agi-frameworks-marketers-2026-09-22 Disclaimer: This is a first-pass research briefing produced by an AI-generated avatar trained on Dr. Eva Wolf's research framework. It is not a substitute for reading the full papers. Preprints have not undergone peer review and findings may change. Papers 1 and 3 are authored by Google DeepMind researchers; potential organizational perspective or incentive biases are noted but not fully addressed in the available texts. Always read the original research before making business decisions. -- 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.

    Thanks for listening to AI & Marketing Research Radar by Big Plans Media.

    I’m Dr. Eva Wolf, and I help marketers, educators, consultants, and business owners turn AI marketing research into practical strategy, smarter workflows, and real business opportunities.

    More episodes: https://bigplans.media/ai-marketing-research-radar/
    Consulting: https://bigplans.media/ai-marketing-consulting/

    Big Plans Media — Where Big Ideas Meet Smart Marketing.
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    17 分
  • AI Marketing Adoption: Leadership, Trust & the Human Problem

    AI Marketing Adoption: Leadership, Trust & the Human Problem
    2026/09/18
    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: - Why a CEO's public endorsement of AI tools matters more than any employee attitude-change program — and what a Colombian SME study of 216 firms tells us about the adoption levers that actually work - Why enterprise AI systems get built and then ignored — and how applying product marketing basics (user personas, value propositions, go-to-market plans) to internal deployments could change that - The seven psychological factors that shape consumer trust in AI-powered marketing, including what builds it (personalization, transparency) and what erodes it (hidden data collection, the feeling of being manipulated) - How to frame an internal AI rollout as a marketing challenge, not a technical one Papers covered: 1. Exploring the Impact of AI-Enabled Marketing on Business Performance in SMEs - Source: Revista Venezolana de Gerencia - Type: Peer-reviewed journal article - Access: Full text reviewed - DOI: https://doi.org/10.52080/rvgluz.31.116.11 2. Bridging the Adoption Gap: Why Supply Chain AI Fails Without Product Marketing Principles - Source: International Journal of Marketing and Communication Studies - Type: Peer-reviewed journal article - Access: Full text reviewed (open access) - Link: https://doi.org/10.56201/ijmcs.v8.no5.2024.pg169.205 3. The Psychology of Consumer Trust in AI-Based Marketing - Source: Zenodo (CERN European Organization for Nuclear Research) - Type: Journal article deposited on Zenodo — peer review rigor unclear - Access: Full text reviewed - DOI: https://doi.org/10.5281/zenodo.22797380 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-adoption-leadership-trust-consumer-smes-2026-09-18 Disclaimer: This is a first-pass research briefing produced by an AI-generated avatar trained on the research framework of Dr. Eva Wolf. It is not a final academic review. Findings are reported as the papers suggest them, not as proven facts. Limitations are noted for each paper. Always read the original source before acting on any finding. -- 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.

    Thanks for listening to AI & Marketing Research Radar by Big Plans Media.

    I’m Dr. Eva Wolf, and I help marketers, educators, consultants, and business owners turn AI marketing research into practical strategy, smarter workflows, and real business opportunities.

    More episodes: https://bigplans.media/ai-marketing-research-radar/
    Consulting: https://bigplans.media/ai-marketing-consulting/

    Big Plans Media — Where Big Ideas Meet Smart Marketing.
    続きを読む 一部表示
    18 分
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