Sep 3, 2026 · 48m · catalyst

What comes after the data center backlash?

Brian Janous · 25m spoken Shayle Kann · 15m spoken
0:00 / 0:00

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In this episode of Catalyst, host Shayle Kann and energy executive Brian Janous analyze the escalating community, economic, and political backlash against data center development across the United States. They explore practical strategies for rebuilding public trust, navigating grid capacity constraints, and evaluating alternative power architectures to sustain future computing demand.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shayle holds 34.1% of the talking time here. How this is scored →

Shayle as informed peer 6.1 Guest teaching 2.9 Guest disagreement 1.4 Shayle pushing back 2.1
05100:0015:0030:0045:004:09–8:40 · Shayle as informed peer 5/10 From Red Carpets to Pitchforks: The Rapid Escalation Kann sets up the historical backdrop and quickly interjects with industrial comparisons like chemical and power plants. Janous delivers an informative overview of the sudden shift from welcoming data centers to intense public backlash without friction.8:40–11:45 · Shayle as informed peer 5/10 Secrecy, NDAs, and the Challenge of Community Trust Kann probes the culture of NDAs and secrecy in hyperscaler site selection. Janous candidly explains Cloverleaf's policy against government NDAs and details how anti-AI sentiment persists regardless of developer transparency.11:45–19:07 · Shayle as informed peer 6/10 The Missing AI Narrative and Political Weaponization Kann frames the core dilemma: tractable technical concerns versus intractable cultural opposition to AI, questioning if the toothpaste is out of the tube. Janous reflects on the baffling speed of the backlash and the absence of a clear Fukushima-style catalyst.19:07–24:05 · Shayle as informed peer 7/10 The Power Price Paradox: Local Savings vs. Macro Inflation Kann introduces an astute thesis on power economics: micro-level rate mitigation through utility contracts versus macro-level equipment inflation. Janous validates the economic premise and builds upon it with historical context on grid load growth.24:05–26:51 · Shayle as informed peer 6/10 The Flaws of Mandating 'Bring Your Own Capacity' Kann questions political mandates requiring data centers to bring their own capacity behind the meter. Janous explains why behind-the-meter setups exacerbate supply constraints by requiring massive overbuilding, citing a project requiring 2.6 GW to power a 1 GW data center.26:55–31:42 · Shayle as informed peer 6/10 Sponsor Break: Distributed Capacity, Fuel Cells, and Utility Partnerships Following mid-roll ads, Kann and Janous debate the grid economics of behind-the-meter generation and community resistance to on-site gas turbines. Both align on the technical pitfalls of isolating generation from the wider rate base denominator.35:01–42:28 · Shayle as informed peer 7/10 Unconventional Frontiers: Off-Grid, Subsea, and Space Compute Kann explicitly challenges Janous's skepticism of off-grid projects, arguing that eliminating the grid interconnection bottleneck allows developers to build in unpopulated desert areas. Janous counters that permitting and community acceptance hurdles persist anywhere on land.42:28–47:25 · Shayle as informed peer 7/10 Edge Compute, Small-Scale Aggregation, and Marginal Costs Kann and Janous evaluate edge compute models and capacity aggregation, comparing current high compute margins to oil well drilling economics. Both agree execution will be difficult despite intense venture interest.4:09–8:40 · Guest teaching 3/10 From Red Carpets to Pitchforks: The Rapid Escalation Kann sets up the historical backdrop and quickly interjects with industrial comparisons like chemical and power plants. Janous delivers an informative overview of the sudden shift from welcoming data centers to intense public backlash without friction.8:40–11:45 · Guest teaching 2/10 Secrecy, NDAs, and the Challenge of Community Trust Kann probes the culture of NDAs and secrecy in hyperscaler site selection. Janous candidly explains Cloverleaf's policy against government NDAs and details how anti-AI sentiment persists regardless of developer transparency.11:45–19:07 · Guest teaching 3/10 The Missing AI Narrative and Political Weaponization Kann frames the core dilemma: tractable technical concerns versus intractable cultural opposition to AI, questioning if the toothpaste is out of the tube. Janous reflects on the baffling speed of the backlash and the absence of a clear Fukushima-style catalyst.19:07–24:05 · Guest teaching 2/10 The Power Price Paradox: Local Savings vs. Macro Inflation Kann introduces an astute thesis on power economics: micro-level rate mitigation through utility contracts versus macro-level equipment inflation. Janous validates the economic premise and builds upon it with historical context on grid load growth.24:05–26:51 · Guest teaching 4/10 The Flaws of Mandating 'Bring Your Own Capacity' Kann questions political mandates requiring data centers to bring their own capacity behind the meter. Janous explains why behind-the-meter setups exacerbate supply constraints by requiring massive overbuilding, citing a project requiring 2.6 GW to power a 1 GW data center.26:55–31:42 · Guest teaching 2/10 Sponsor Break: Distributed Capacity, Fuel Cells, and Utility Partnerships Following mid-roll ads, Kann and Janous debate the grid economics of behind-the-meter generation and community resistance to on-site gas turbines. Both align on the technical pitfalls of isolating generation from the wider rate base denominator.35:01–42:28 · Guest teaching 4/10 Unconventional Frontiers: Off-Grid, Subsea, and Space Compute Kann explicitly challenges Janous's skepticism of off-grid projects, arguing that eliminating the grid interconnection bottleneck allows developers to build in unpopulated desert areas. Janous counters that permitting and community acceptance hurdles persist anywhere on land.42:28–47:25 · Guest teaching 3/10 Edge Compute, Small-Scale Aggregation, and Marginal Costs Kann and Janous evaluate edge compute models and capacity aggregation, comparing current high compute margins to oil well drilling economics. Both agree execution will be difficult despite intense venture interest.4:09–8:40 · Guest disagreement 1/10 From Red Carpets to Pitchforks: The Rapid Escalation Kann sets up the historical backdrop and quickly interjects with industrial comparisons like chemical and power plants. Janous delivers an informative overview of the sudden shift from welcoming data centers to intense public backlash without friction.8:40–11:45 · Guest disagreement 1/10 Secrecy, NDAs, and the Challenge of Community Trust Kann probes the culture of NDAs and secrecy in hyperscaler site selection. Janous candidly explains Cloverleaf's policy against government NDAs and details how anti-AI sentiment persists regardless of developer transparency.11:45–19:07 · Guest disagreement 1/10 The Missing AI Narrative and Political Weaponization Kann frames the core dilemma: tractable technical concerns versus intractable cultural opposition to AI, questioning if the toothpaste is out of the tube. Janous reflects on the baffling speed of the backlash and the absence of a clear Fukushima-style catalyst.19:07–24:05 · Guest disagreement 1/10 The Power Price Paradox: Local Savings vs. Macro Inflation Kann introduces an astute thesis on power economics: micro-level rate mitigation through utility contracts versus macro-level equipment inflation. Janous validates the economic premise and builds upon it with historical context on grid load growth.24:05–26:51 · Guest disagreement 2/10 The Flaws of Mandating 'Bring Your Own Capacity' Kann questions political mandates requiring data centers to bring their own capacity behind the meter. Janous explains why behind-the-meter setups exacerbate supply constraints by requiring massive overbuilding, citing a project requiring 2.6 GW to power a 1 GW data center.26:55–31:42 · Guest disagreement 1/10 Sponsor Break: Distributed Capacity, Fuel Cells, and Utility Partnerships Following mid-roll ads, Kann and Janous debate the grid economics of behind-the-meter generation and community resistance to on-site gas turbines. Both align on the technical pitfalls of isolating generation from the wider rate base denominator.35:01–42:28 · Guest disagreement 3/10 Unconventional Frontiers: Off-Grid, Subsea, and Space Compute Kann explicitly challenges Janous's skepticism of off-grid projects, arguing that eliminating the grid interconnection bottleneck allows developers to build in unpopulated desert areas. Janous counters that permitting and community acceptance hurdles persist anywhere on land.42:28–47:25 · Guest disagreement 1/10 Edge Compute, Small-Scale Aggregation, and Marginal Costs Kann and Janous evaluate edge compute models and capacity aggregation, comparing current high compute margins to oil well drilling economics. Both agree execution will be difficult despite intense venture interest.4:09–8:40 · Shayle pushing back 1/10 From Red Carpets to Pitchforks: The Rapid Escalation Kann sets up the historical backdrop and quickly interjects with industrial comparisons like chemical and power plants. Janous delivers an informative overview of the sudden shift from welcoming data centers to intense public backlash without friction.8:40–11:45 · Shayle pushing back 2/10 Secrecy, NDAs, and the Challenge of Community Trust Kann probes the culture of NDAs and secrecy in hyperscaler site selection. Janous candidly explains Cloverleaf's policy against government NDAs and details how anti-AI sentiment persists regardless of developer transparency.11:45–19:07 · Shayle pushing back 3/10 The Missing AI Narrative and Political Weaponization Kann frames the core dilemma: tractable technical concerns versus intractable cultural opposition to AI, questioning if the toothpaste is out of the tube. Janous reflects on the baffling speed of the backlash and the absence of a clear Fukushima-style catalyst.19:07–24:05 · Shayle pushing back 2/10 The Power Price Paradox: Local Savings vs. Macro Inflation Kann introduces an astute thesis on power economics: micro-level rate mitigation through utility contracts versus macro-level equipment inflation. Janous validates the economic premise and builds upon it with historical context on grid load growth.24:05–26:51 · Shayle pushing back 2/10 The Flaws of Mandating 'Bring Your Own Capacity' Kann questions political mandates requiring data centers to bring their own capacity behind the meter. Janous explains why behind-the-meter setups exacerbate supply constraints by requiring massive overbuilding, citing a project requiring 2.6 GW to power a 1 GW data center.26:55–31:42 · Shayle pushing back 2/10 Sponsor Break: Distributed Capacity, Fuel Cells, and Utility Partnerships Following mid-roll ads, Kann and Janous debate the grid economics of behind-the-meter generation and community resistance to on-site gas turbines. Both align on the technical pitfalls of isolating generation from the wider rate base denominator.35:01–42:28 · Shayle pushing back 4/10 Unconventional Frontiers: Off-Grid, Subsea, and Space Compute Kann explicitly challenges Janous's skepticism of off-grid projects, arguing that eliminating the grid interconnection bottleneck allows developers to build in unpopulated desert areas. Janous counters that permitting and community acceptance hurdles persist anywhere on land.42:28–47:25 · Shayle pushing back 1/10 Edge Compute, Small-Scale Aggregation, and Marginal Costs Kann and Janous evaluate edge compute models and capacity aggregation, comparing current high compute margins to oil well drilling economics. Both agree execution will be difficult despite intense venture interest.

speaking balance: gold is Shayle, purple is the guest (3 minute bins)

0:00 · Shayle 80.9% · guest 19.1%0:00 · Shayle 80.9% · guest 19.1%3:00 · Shayle 18.2% · guest 81.8%3:00 · Shayle 18.2% · guest 81.8%6:00 · Shayle 12% · guest 88%6:00 · Shayle 12% · guest 88%9:00 · Shayle 24.2% · guest 75.8%9:00 · Shayle 24.2% · guest 75.8%12:00 · Shayle 39.4% · guest 60.6%12:00 · Shayle 39.4% · guest 60.6%15:00 · Shayle 34.4% · guest 65.6%15:00 · Shayle 34.4% · guest 65.6%18:00 · Shayle 56.8% · guest 43.2%18:00 · Shayle 56.8% · guest 43.2%21:00 · Shayle 26% · guest 74%21:00 · Shayle 26% · guest 74%24:00 · Shayle 6% · guest 94%24:00 · Shayle 6% · guest 94%27:00 · Shayle 26.4% · guest 73.6%27:00 · Shayle 26.4% · guest 73.6%30:00 · Shayle 50.7% · guest 49.3%30:00 · Shayle 50.7% · guest 49.3%33:00 · Shayle 38.2% · guest 61.8%33:00 · Shayle 38.2% · guest 61.8%36:00 · Shayle 31.6% · guest 68.4%36:00 · Shayle 31.6% · guest 68.4%39:00 · Shayle 29.5% · guest 70.5%39:00 · Shayle 29.5% · guest 70.5%42:00 · Shayle 16% · guest 84%42:00 · Shayle 16% · guest 84%45:00 · Shayle 49% · guest 51%45:00 · Shayle 49% · guest 51%48:00 · Shayle 97.8% · guest 2.2%48:00 · Shayle 97.8% · guest 2.2%
Sharpest disagreement ▶ 38:48 Janous dismisses the idea that going off-grid bypasses community opposition

Janous directly rejects Kann's premise that off-grid siting in remote areas solves the development bottleneck, asserting permitting and community friction remain unavoidable.

Hardest push from Shayle ▶ 37:48 Kann challenges Janous's intuition favoring sea and space over off-grid

Kann openly pushes back against Janous's willingness to entertain space and subsea compute while writing off terrestrial off-grid deployments.

Biggest teaching moment ▶ 25:45 Janous details the massive overbuild penalty of behind-the-meter power

Janous educates Kann on the practical engineering penalty of behind-the-meter projects, citing a real example where GE Vernova required 2.6 GW of capacity for 1 GW of load.

Shayle holds their own ▶ 19:06 Kann breaks down the micro versus macro power pricing dynamic

Kann demonstrates deep market mastery by distinguishing localized utility rate benefits from systemic macro inflation driven by supply chain constraints.

the scores for every segment, with the reasoning behind each
ChapterTopicShayle as informed peerGuest teachingGuest disagreementShayle pushing backWhy
From Red Carpets to Pitchforks: The Rapid Escalation 5311 Kann sets up the historical backdrop and quickly interjects with industrial comparisons like chemical and power plants. Janous delivers an informative overview of the sudden shift from welcoming data centers to intense public backlash without friction.
Secrecy, NDAs, and the Challenge of Community Trust 5212 Kann probes the culture of NDAs and secrecy in hyperscaler site selection. Janous candidly explains Cloverleaf's policy against government NDAs and details how anti-AI sentiment persists regardless of developer transparency.
The Missing AI Narrative and Political Weaponization 6313 Kann frames the core dilemma: tractable technical concerns versus intractable cultural opposition to AI, questioning if the toothpaste is out of the tube. Janous reflects on the baffling speed of the backlash and the absence of a clear Fukushima-style catalyst.
The Power Price Paradox: Local Savings vs. Macro Inflation 7212 Kann introduces an astute thesis on power economics: micro-level rate mitigation through utility contracts versus macro-level equipment inflation. Janous validates the economic premise and builds upon it with historical context on grid load growth.
The Flaws of Mandating 'Bring Your Own Capacity' 6422 Kann questions political mandates requiring data centers to bring their own capacity behind the meter. Janous explains why behind-the-meter setups exacerbate supply constraints by requiring massive overbuilding, citing a project requiring 2.6 GW to power a 1 GW data center.
Sponsor Break: Distributed Capacity, Fuel Cells, and Utility Partnerships 6212 Following mid-roll ads, Kann and Janous debate the grid economics of behind-the-meter generation and community resistance to on-site gas turbines. Both align on the technical pitfalls of isolating generation from the wider rate base denominator.
Unconventional Frontiers: Off-Grid, Subsea, and Space Compute 7434 Kann explicitly challenges Janous's skepticism of off-grid projects, arguing that eliminating the grid interconnection bottleneck allows developers to build in unpopulated desert areas. Janous counters that permitting and community acceptance hurdles persist anywhere on land.
Edge Compute, Small-Scale Aggregation, and Marginal Costs 7311 Kann and Janous evaluate edge compute models and capacity aggregation, comparing current high compute margins to oil well drilling economics. Both agree execution will be difficult despite intense venture interest.

Statements from this episode (16)

Assertion Partly supported
Janous: Data centers spurred massive civic investment and job gains in Quincy
“There was a fantastic story just in the last week about Quincy Washington building a fifteen million dollar aquatic center and they have a hundred and fifty million dollar state of the art school and their unemployment rate has gone from like 29% to six percen…”
Brian Janous Sep 3, 2026 ▶ 5:45
Assertion Not checkable as stated
Janous: Data centers use little water compared to agriculture and golf courses
“And if you look at the actual facts, like, data centers do not use that much water relative to, you know, fill in the blank, almonds, avocados, golf courses, you know, so.”
Brian Janous Sep 3, 2026 ▶ 6:59
Opinion
Janous: Tech companies' presentation of AI is driving data center backlash
“So I do think the, you know, the tech companies have, you A real issue around how AI has been presented, you know, and that is causing a lot of this backlash as well.”
Brian Janous Sep 3, 2026 ▶ 8:27
Disclosure
Janous: Cloverleaf refuses to sign NDAs with government officials
“I mean, for us and for Cloverleaf, we don't sign NDAs with government officials. Like, we don't think that's good practice.”
Brian Janous Sep 3, 2026 ▶ 9:21
Insight
Janous: Data center industry fails by fighting emotional backlash with facts
“I think the industry has tried to attack this with facts. And really miss the emotional resonance of, like, people just aren't happy about this stuff right now.”
Brian Janous Sep 3, 2026 ▶ 11:23
Opinion
Kann: Google has the best community playbook among data center developers
“Google maybe is the best at this, have a playbook where you address all of those things as close to upfront as you can, and you offer a lot in exchange to the community.”
Shayle Kann Sep 3, 2026 ▶ 12:02
Assertion Contradicted
Kann: Software engineering is the only job category truly displaced by AI to date
“And in fact, the only jobs that have been lost really because of AI to date are like software engineers.”
Shayle Kann Sep 3, 2026 ▶ 17:03
Opinion
Kann: Data centers entering a community tend to lower local electricity rates
“The objective truth, particularly today, is that a data center coming into a community tends to lower rates because nowadays, you You know, the deal that the utility is striking with the data center is basically guaranteed to do that, sort of the whole point.”
Shayle Kann Sep 3, 2026 ▶ 19:15
Assertion Supported
Janous: Electricity prices did not rise for 100 years during grid expansion
“Electricity prices did not go up for a hundred years as we massively expanded the grid.”
Brian Janous Sep 3, 2026 ▶ 21:01
Assertion Not checkable as stated
Janous: GE Vernova builds 2.6 GW capacity for one-gigawatt data center
“In fact, I was talking to Someone from GE Vernova yesterday, and he was talking about for this gigawatt data center, they're having to build 2.6 gigawatts of capacity across generation and batteries and everything else.”
Brian Janous Sep 3, 2026 ▶ 25:47
Opinion
Janous: On-site power plants make data center community backlash worse
“Do they really want a data center plus a power plant next door? That also seems like not the right solution. Like, I think that's, Worse than a data center connected to the grid.”
Brian Janous Sep 3, 2026 ▶ 26:18
Insight
Janous: Taking data centers off-grid prevents broader electricity rates from decreasing
“It's fine micro, but I would even say, I mean, if you believe that a larger denominator is actually good for lowering electricity rates over time, it's actually negative in that you're taking that denominator off the grid.”
Brian Janous Sep 3, 2026 ▶ 29:34
Prediction Not checkable as stated
Kann: Political backlash against data centers will worsen over the next two years
“I would bet on this being the case for the next couple of years that it gets worse before it gets better. Partially because of the political timing that you described, it's just there currently where we stand today, there is no political advantage to being the…”
Shayle Kann Sep 3, 2026 ▶ 31:07
Prediction Open · timeframe Dec 2030
Janous: Terrestrial data centers will remain the vast majority through 2030
“I just look at the pie of total data centers by 20 30 and pick your date in the future. I'm a big believer of terrestrial data centers are still going to be, like, the vast majority of the way we build data centers. Like, I just don't, I'm not sure how much it…”
Brian Janous Sep 3, 2026 ▶ 37:16
Prediction Not checkable as stated
Janous: US data center constraints will persist through 2030 and beyond
“All the stuff we thought we were going to build in this country, or thought we could build, a lot of that's not going to get built, because of all the things we've just been talking about. Like, I think that, and this problem is going to persist for the forese…”
Brian Janous Sep 3, 2026 ▶ 40:30
Prediction Not checkable as stated
Janous: Vast majority of computation will remain in 100MW+ data centers
“I still believe that the vast majority of the computation is going to be done in large data centers. Large being defined as hundred megawatts or more in my world.”
Brian Janous Sep 3, 2026 ▶ 44:52
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