
Hosted by Jeff Wilser
Listed under Technology
★4.5on Apple Podcasts · 4 recent reviews
Every week, Jeff Wilser sits down with the people building, breaking, and reckoning with AI - from the CEO of Upwork to the pioneer who coined "AGI" to an AI social network where bots wrote manifestos and had existential crises.
145 episodes · publishes weekly · latest 2026-08-07 · ~45 min/episode
Rank
#23
Substance
84.5
/ 100
Breakdown
Scored 2026-08
Updated monthly
Across the index
#23 of 1566
Substance
Top 1%
outscores 99% of the index
AI-Curious with Jeff Wilser ranks #23 on The B2B Podcast Index with a substance score of 84.5 out of 100, scored across 2 recent episodes. It scores highest on guest caliber and insight density. Ari Peskoe directs the Electricity Law Initiative at Harvard Law School and has authored peer-reviewed work on utility regulation and data center cost allocation. He is a subject-matter expert with institutional credibility and direct research engagement with the problem, not a generalist or career pundit. His specificity about regulatory mechanisms and state-by-state variation reflects deep domain expertise.
Averaged across 2 recently scored episodes, with cited evidence.
The episode densely packs specific mechanisms (cost socialization, marginal pricing, interstate markets, regulatory structures) and concrete numbers ($63B market, $30B data center share, 5 GW Meta facility, potential $400/year Virginia household costs by 2040). However, it relies heavily on explaining fundamentals (how utilities work, why costs are socialized) rather than novel findings, and some sections drift into clarification rather than new insight.
“the total cost of this market has been $63 billion and data center demand is responsible for about 30 billion of that”
“the average person or the average household in Virginia could, could be paying as much as $400 a year in data center related costs”
The core thesis - that ratepayers subsidize data center infrastructure through cost socialization - is not novel; the intellectual move is to trace it through specific regulatory mechanisms and concrete markets (PJM, Virginia). The historical comparison (1950s when marginal costs were lower, making new factories beneficial) is a useful reframe but not deeply counterintuitive. The paper exists and has been published, so this is reporting rather than discovery.
“when you have one of these really large facilities, many states have specific laws that will allow special rates to be negotiated”
“in the 1950s, 60s when there was this baby boom, massive industrialization, huge growth in this country, the economics of the power industry were totally different where the marginal cost is actually lower than the average cost”
Ari Peskoe directs the Electricity Law Initiative at Harvard Law School and has authored peer-reviewed work on utility regulation and data center cost allocation. He is a subject-matter expert with institutional credibility and direct research engagement with the problem, not a generalist or career pundit. His specificity about regulatory mechanisms and state-by-state variation reflects deep domain expertise.
“Ari Pesko, director of the Electricity Law Initiative at Harvard Law School”
“we explain how different methods, uh, for sharing costs, uh, can lead to everyone paying for data center, uh, infrastructure”
The episode supplies specific numbers (5 GW Meta facility, $63B market, $30B data center share, 4% current grid usage, $400 Virginia projection), named regions (PJM, Virginia, Louisiana, New Orleans, Arizona, California), and concrete regulatory examples (long-term contract requirements, special rate negotiation). However, it lacks granular case studies, individual state breakdowns, or detailed project timelines; much discussion remains at the conceptual level of how mechanisms work rather than how they played out in specific instances.
“the hub of data center development is Virginia, um, and that it's been that way for uh, decades. The legislature there commissioned a study that was released in 2024”
“data centers were using about 4% of U.S. electricity”
Jeff Wilser asks sharp, grounded follow-ups (clarifying the Cleveland analogy, pushing on marginal cost, asking for scale and cost impact) and does not accept vague answers passively. He probes the hyperscaler counterargument directly and challenges Peskoe's framing on water issues. However, he occasionally accepts answers without deeper drilling, doesn't push back on uncertainty, and allows some soft closures without extracting hard predictions or naming specific recent legislative failures.
“Can you give us a sense of the scale of these costs and maybe if you can, how much um, on a, per our energy costs in communities where data centers are being just kind of plopped in, are costs going up by 10%?”
“How? Um, I'm, um, guessing if we had a representative from Hyperscaler here, they might say, wait a second, this is no different than Exxon building a big office building”
2 periods tracked.
2 scored on substance · 65 tracked in total.
I am AI curious and this is a fantastic way to learn from a so-called human. The AI playbook episode is quite informative, and learning about AI as a tool is an important version of the story to hear right now. Love this podcast.
- Kermit_Schiller
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