Hosted by The Wharton School
In a world of rapid change, staying competitive requires thoughtful transformation. Where AI Works tackles the big questions shaping AI’s role in business today, cutting through the hype to deliver actionable insights for leaders.
27 episodes · publishes fortnightly · latest 2026-05-21 · ~23 min/episode
Rank
#3834
Substance
57.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#3834 of 6183
Substance
Top 62%
outscores 38% of the index
Where AI Works ranks #3834 on The B2B Podcast Index with a substance score of 57.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and insight density. The underlying season guests are legitimate senior practitioners - Walmart's CPO, an eBay VP of Product, and an Expedia SVP of Product - who have deployed AI at genuine scale. However, this recap episode reduces them to two-to-three-sentence quote fragments, so their real depth never surfaces here.
Averaged across 1 recently scored episode, with cited evidence.
As a 12-minute recap of four separate episodes, the format structurally caps insight density - every observation is compressed to a few sentences. There are a handful of worthwhile points (AI slop degrading productivity, the skills-not-jobs reframe) but they're surrounded by generic future-of-work commentary and the natural repetition of a highlight reel.
“you end up in a situation where there is a lot of AI slop being thrown at you. Your productivity actually decreases significantly”
“23% would cite if they could increase the availability of talent, skilled talent, new skilled talent, and training, that that would be the most beneficial in accelerating their AI journey”
The dominant takes - soft skills matter, humans must stay in the loop, trust-plus-skepticism, liberal arts is underrated - have circulated widely in AI/future-of-work discourse for years. The 'AI slop' framing is modestly fresh but nothing here is contrarian or first-principles.
“So I think for many years, we may have said liberal arts, that's not as important. I'd actually say, well, actually, liberal arts probably super important”
“The question for today is still, how can we use AI to help us, not how can we use it to replace ourselves?”
The underlying season guests are legitimate senior practitioners - Walmart's CPO, an eBay VP of Product, and an Expedia SVP of Product - who have deployed AI at genuine scale. However, this recap episode reduces them to two-to-three-sentence quote fragments, so their real depth never surfaces here.
“I feel like now managers can actually manage people”
“Every single person on my team has access to basically any model that they want to use and almost any tool that they want to use in some way, shape, or form”
There is one concrete data point - the Wharton-Accenture pulse survey of 7,000 C-suite leaders across 20 countries and 20 industries - and company names (Walmart, eBay, Expedia) provide some grounding. Beyond that, the recap offers no dollar figures, timelines, or specific outcome metrics; nearly all claims remain at the level of assertion.
“we have what we call a pulse of change survey where we talk to 7,000 C-suite leaders, 20 countries, 20 industries... 23% would cite if they could increase the availability of talent”
“Every single person on my team has access to basically any model that they want to use”
This is a solo host monologue stitching together clip summaries - there is no live conversation, no questions asked, no follow-ups, and no possibility of productive disagreement. The format entirely eliminates conversational craft as an evaluable dimension.
“I'm Matthew Bidwell, back in the hosting chair one last time for a recap and review of our fifth season”
“Our guests shared a lot of valuable advice and insights over the course of this season. What's my main takeaway for business leaders?”
2026-05-21
First period on the Index - history builds from here.
1 scored on substance · 27 tracked in total.
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