
Hosted by Andreas Welsch
“What’s the BUZZ?” is a live format where leaders in the field of artificial intelligence, generative AI, agentic AI, and automation share their insights and experiences on how they have successfully turned technology hype into business outcomes.
112 episodes · publishes fortnightly · latest 2026-06-27 · ~30 min/episode
Rank
#793
Substance
74.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#793 of 6183
Substance
Top 13%
outscores 87% of the index
What’s the BUZZ? - AI in Business ranks #793 on The B2B Podcast Index with a substance score of 74.0 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and insight density. Reid Blackman is a legitimate voice on AI ethics with six+ years advising Fortune 500 companies and three of the Big Four consulting firms. His philosophy PhD and ethics background provide credibility. However, he's primarily a consulting/thought-leader figure rather than a practitioner who has built or scaled AI systems operationally, which limits his standing as a do-er.
Averaged across 5 recently scored episodes, with cited evidence.
The episode delivers meaningful substance on AI ethics governance, particularly the critique of policy-driven approaches and the concept of cascading failures in agentic AI. However, it relies heavily on framework explanation rather than novel operational insights. The 'nightmare' framing is useful but somewhat repetitive, and practical implementation details remain sparse.
“the standard approach to responsible AI is very top down and very policy driven”
“if one of them gets the wrong answer goes sideways, ethically, or otherwise, in some way, it's going to echo throughout the system until you get really big bad stuff”
The 'nightmare' framing for ethics discussions is a deliberate and somewhat fresh repackaging, but the core insights - cascading failures, emergent risks, human-in-loop breakdown, policy slowness - are not particularly novel to informed operators in AI risk. The critique of enterprise ethics committees is useful but not groundbreaking.
“the standard approach to responsible AI is very top down and very policy driven”
“autonomy pours gasoline on the other ethical reputational fires”
Reid Blackman is a legitimate voice on AI ethics with six+ years advising Fortune 500 companies and three of the Big Four consulting firms. His philosophy PhD and ethics background provide credibility. However, he's primarily a consulting/thought-leader figure rather than a practitioner who has built or scaled AI systems operationally, which limits his standing as a do-er.
“I've been advising organizations mostly in the Fortune 500 on how to avoid what I would call now the ethical nightmares of AI”
“I've advised three of the four big four, so I know exactly what they're doing”
The episode lacks concrete examples, company names, real incidents, or measurable metrics. The 'broken bone identifier' is a generic proxy example. No specific data on enterprise governance timelines, actual failure costs, or real cases are presented. The discussion remains largely theoretical despite claims of Fortune 500 advisory work.
“say a broken bone identifier for radiologists, right”
“it takes forever, at least a year. A year is the fastest”
The host asks straightforward questions but rarely pushes back or probe deeply. When Reid makes sweeping claims (e.g., 'the standard approach is broken'), the host accepts and moves forward rather than challenging with counter-examples or asking for specifics. The 'sports car game' opener is light engagement rather than substance-building. Some follow-ups are adequate but lack sharpness.
“So what's the answer then?”
“But companies have been standing up ethics committees...What are you seeing? What's really changed”
First period on the Index - history builds from here.
10 scored on substance · 60 tracked in total.
Beyond AI Hype: Building Governance-First Systems (Joseph X Ng)
2026-06-27 · 24 min
Navigating AI's Ethical Nightmare Challenges (Reid Blackman)
2026-06-13 · 26 min
From Task Automation to Talent Evolution: Multi-Agent Systems in HR (Kris Saling)
2026-05-30 · 26 min
How MLOps and LLMOps Drive Consistent Results (Kristen Kehrer)
2026-05-16 · 27 min
Accelerating Document Processing with AI (Ariana Smetana)
2026-05-02 · 26 min
Evolving Executive Leadership with Agentic AI (Elise Neel)
2026-04-18 · 26 min
How to Set Up Your AI Governance and Risk Program (Walter Haydock)
2026-04-03 · 27 min
Designing for Agentic AI Attention and Focus (Steven Puri)
2026-03-21 · 31 min
Becoming AI Orchrestrators in the Workplace (Sadie St Lawrence)
2026-03-07 · 30 min
From Pilots to Programs: Making AI Stick (Ivo Strohhammer)
2026-02-21 · 27 min
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