
Hosted by The Risk and Insurance Management Society, Inc.
The official podcast of RIMS, the Risk and Insurance Management Society. Tune in for weekly discussions about risk management hot topics, interviews with leaders in the profession, and updates on RIMS events and education.
100 episodes · publishes weekly · latest 2026-06-30 · ~38 min/episode
Rank
#4413
Substance
53.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#4413 of 6186
Substance
Top 71%
outscores 29% of the index
RIMScast ranks #4413 on The B2B Podcast Index with a substance score of 53.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and insight density. The episode cites multiple concrete figures - ISACA poll of 3,400 professionals, Tropical Storm Arthur's $4 - 6B damage, 56% AI wage premium (PwC), Gartner's 50%-reversal forecast, AI governance market trajectory - though sourcing is sometimes vague ('a recent study,' 'one CEO said') and much of the data is aggregated from secondary reporting rather than primary research.
Averaged across 1 recently scored episode, with cited evidence.
There are pockets of genuine insight - the petrochemical input angle on building material costs and the burnout-from-automating-easy-tasks point are genuinely non-obvious - but they're surrounded by extensive filler: magazine format discussion, banter about print nostalgia, the A-Team, makeup analogies, and promotional segments that consume a substantial fraction of the runtime.
“materials that require what people call it petrochemical inputs, include things like plywood and structural lumber. So boarding your windows is going to be more expensive than ever”
“when you automate the parts that are easy, that means that a hundred percent of your job is now the parts that are hard or that are difficult or that are stressful. And that is a guaranteed ticket to burnout”
The petrochemical-cost-of-disaster-prep angle is a genuinely fresh frame, and the layoff boomerang/burnout-from-automation points show some independent thinking, but the bulk of the episode recycles standard AI caution narratives ('shadow AI is bad,' 'culture matters,' 'prepare for hurricanes') that any risk professional has heard many times.
“50% of AI layoffs are going to be reversed by 2027”
“the hurricane classification system is solely based on wind speed, but wind is one of the least... it does not do as much damage as water”
Both guests are RIMS's own editorial staff - a VP of Content and a Managing Editor - who cover risk management journalism rather than having practiced it at scale; this is essentially an in-house magazine promotional interview, not a practitioner episode, and the insights reflect secondary reporting rather than direct operational experience.
“Morgan o', Rourke, RIMS Vice President of Content and Publications and Hillary Tuttle, the managing editor of RIMS Risk Management magazine”
“they're joining us today to discuss some of the Highlights of the Q2 edition of Rims Risk Management magazine”
The episode cites multiple concrete figures - ISACA poll of 3,400 professionals, Tropical Storm Arthur's $4 - 6B damage, 56% AI wage premium (PwC), Gartner's 50%-reversal forecast, AI governance market trajectory - though sourcing is sometimes vague ('a recent study,' 'one CEO said') and much of the data is aggregated from secondary reporting rather than primary research.
“In NI SOCA poll Of more than 3,400 IT professionals, 90% of respondents said that employees are using AI in their organization... only 45% of respondents saying AI risks are an immediate priority”
“Tropical storm Arthur come through last week and it never reached hurricane strength, but it still managed to do 4 to 6 billion dollars in damage”
The host occasionally draws out useful specifics ('what's an unsanctioned use? Give us an example') and has some prepared data to scaffold the conversation, but there is no meaningful pushback, no challenging of claims, and extended stretches are consumed by jokes, impression bits, makeup analogies, and conference promotions rather than substantive follow-up.
“What's an unsanctioned use? Give us an example”
“I promised Charlie I would ask the question as Jiminy Glick because he loves Jiminy Glick”
First period on the Index - history builds from here.
1 scored on substance · 60 tracked in total.
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