Michael Nevski

Topics Michael shaped

AI & technology, Researcher craft & identity, Insights function & business, Consumer behavior & culture, Methods, methodology & rigor

Episodes

• The Gig Economy, Affluent Consumers, and What They Mean for Brands — Ep. 26 · Sep 16, 2025

What Michael said — indexed claims

• AI adoption and AI trust are two separate consumer trends that must be tracked independently: over 50% of U.S. consumers already use generative AI in some form, yet 46% say they do not want their information shared with AI — conflating these produces a distorted picture. — Ep. 26 · 17:45 · cl-michael-nevski-006
• Consumers increasingly trust agentic AI for product and lifestyle advice because they perceive it as more unbiased than a human friend, whose social relationship may soften an honest opinion. — Ep. 26 · 13:00 · cl-michael-nevski-005
• Researchers will adopt synthetic data when it can be demonstrated with 95%+ confidence that synthetic results replicate a real-person study — but before that proof exists, claiming synthetic data works is not credible; researchers want the mechanics, not the promise. — Ep. 26 · 51:00 · cl-michael-nevski-018
• Agentic AI's top benefit for research is real-time insights: once consumer trust and privacy protections are in place, researchers will get a complete 360-degree view of the consumer path to purchase across channels — not a periodic survey, but continuous daily data. — Ep. 26 · 10:17 · cl-michael-nevski-003
• Deterministic data — built directly from actual transactions rather than modeled or look-alike estimates — is the gold standard for behavioral insights, and agentic AI is the bridge that will make it possible to build this across the ecosystem. — Ep. 26 · 34:20 · cl-michael-nevski-015
• Hyper-personalization enabled by consumer opt-in to transactional history tracking is already a live capability at scale — not a future concept — and agentic AI will make it possible to deliver those experiences in real time without manual intervention. — Ep. 26 · 47:00 · cl-michael-nevski-019
• The future identity of insights professionals is as internal strategy consultants who proactively understand business problems, not order-takers who execute a research brief on demand — 'I do internal strategy insights consulting for my company' is how the role should be introduced. — Ep. 26 · 43:30 · cl-michael-nevski-016
• The right insights picture requires a total equation: traditional primary research (quant, qual, social listening), syndicated data, transactional data, and panel data must converge — any single source alone is insufficient, and researchers must be fluent across all of them. — Ep. 26 · 33:15 · cl-michael-nevski-014
• Insights and research professionals are the neck of the organization: they turn the head — the rest of the company — in the right direction, identifying white spaces and pointing where products, services, and corporations need to move. — Ep. 26 · 03:31 · cl-michael-nevski-001
• Consumer concerns have shifted from the short-term survival anxiety of 2020–2021 to long-term achievement anxiety — whether they can buy a house, raise a child, fund an education — driven by geopolitics, inflation residue, and tariff uncertainty. — Ep. 26 · 29:04 · cl-michael-nevski-011
• Retail spending is increasingly supported by a shrinking base of high-income consumers as low- and mid-income consumers pull back — a bifurcation visible in Visa's Spending Momentum Index data. — Ep. 26 · 19:35 · cl-michael-nevski-007
• Syndicated and stream data already answers the 'what' of consumer behavior at massive scale; the distinctive and irreplaceable contribution of market research is the 'why' — and agentic AI will advance the ability to answer the 'why' in real time. — Ep. 26 · 15:55 · cl-michael-nevski-021
• Consumer journeys will split: AI handles simpler transactional and acquisition tasks, while humans retain emotional decision points — the future is a hybrid of technology-mediated convenience and human-presence moments. — Ep. 26 · 14:05 · cl-michael-nevski-004

Connected across the corpus

• Christopher Khoury (American Medical Association) — 4 cross-references
• Steve Olenski (CMO Whisperer Advisory) — 4 cross-references
• Andrew Embry (Eli Lilly and Company) — 1 cross-reference
• Bill Salokar (Gazelle Global) — 1 cross-reference
• Ernest Baskin (Saint Joseph's University) — 1 cross-reference
• Tom Rich (Thomas M. Rich & Associates) — 1 cross-reference

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