The conversation explores two central themes: personal philosophy and market dynamics. On one hand, the host emphasizes a lifestyle of "friction-maxing"—choosing analog over digital, like calling instead of texting or visiting stores instead of using online services—highlighting a deeper cultural shift away from instant, traceable communication. This reflects a loss of traditional accountability in digital culture, where actions are rarely recorded or acknowledged. On the other hand, the financial segment reveals a sharp downturn in clean energy and AI-related companies, as investors confront reality after years of overhype. High interest rates, political resistance, supply chain issues, and public opposition to data centers have led to delays in IPOs for key firms like Holtec, SB Energy, and Form Energy. These developments stem from rising capital costs and a market shift toward greater scrutiny on construction timelines and financial viability. Despite this, practical solutions like virtual power plants—leveraging machine learning and distributed energy resources—are emerging as more efficient and flexible grid tools. The broader takeaway is that the market is recalibrating, moving from speculative excitement to disciplined, evidence-based investment. This course correction, driven by both economic and political forces, signals a more grounded approach to energy innovation, where long-term sustainability and real-world performance are now paramount.
I've been seeing this term everywhere, friction-maxing.
Have you guys heard of this?
It's my life.
That's what I do.
To be honest, I only heard of it once you told me.
That's how friction I am, because I don't even know that there are phrases like this.
Stephen?
So go buy groceries at the store instead of using Instacart.
Go borrow books from the library.
Host friends at your house instead of eating out.
Use a physical map.
Are these things that you're already doing anyway?
These are all things that I do regularly.
These are all things that I do.
Even the physical map?
Even physical maps.
And people get really mad at me.
Like, when I call people on the phone, they're like, Jigar, why do you call people?
Why don't you text?
And I was like, because I don't text.
I call.
That's what I do.
But we call.
As a result, there's no evidence of anything that I've ever said.
Pause on the friction-maxing for a second.
I think maybe the younger generation has lost the art of. Pleading the fifth and not having a paper trail.
I don't know what you guys are hiding.
Well, I mean. I am hiding nothing at all because none of it is in emails or text.
Exactly.
All of it is in the ether.
And now that I've said it, it was not recorded and it has moved on.
Which is why I also have people over to my house for dinner.
To yell at them.
And do the other things.
Right, no, sorry.
Yes.
Yes.
If I'm going to be mean and nasty, I'm going to do it to your face.
I'm not going to, like, do it over text.
I'm going to do it over an email.
I have a library down the street.
We're at the library.
I like to go to the store for groceries.
I don't use a physical map.
But I got lots of friction in my life.
But I will never give up the text message.
I hate talking on the phone.
I talk for a living.
But I cannot stand talking on the phone.
And so those transcribed messages are a godsend.
I also spend less than $300 a year on Amazon.
I mean, I just, like, I go to the store and I buy stuff.
And I bring it back in my car.
I'm an Amazon user.
But what I do is, like, overcharge.
Sometimes I compile things in my cart.
Like, oh, I might need that.
And then I, like, make this month-long list in my cart.
And then at the end of the month, I go in and say, like, okay, what do I actually really need?
And then I whittle it down to a few things that I might really need.
And you just described hyperscaler energy shopping in two minutes.
This was supposed to be the year clean energy rode the AI wave onto Wall Street.
Instead, the wave might be breaking sooner than expected.
Companies across the AI industry are seeing sharp stock price drops as investors worry about infrastructure spending.
And it's hitting energy companies.
Holtec, the nuclear company, SB Energy, and Form Energy have all shelved plans to go public.
And Fervo, this year's breakout geothermal listing, is down 70% from its first day of trading.
What is happening?
Three numbers tell the story.
$8.5 trillion.
That's how much revenue AI data center owners need to bring in by 2030 to cover their spending, their debt,
and a reasonable return.
Gartner says they're going to come up nearly $5 trillion short.
Then, 5%.
That's the level the 10-year treasury yield broke in September, the highest in three years.
That makes every dollar of the AI build-out more expensive to borrow, and every pre-revenue energy company harder to value.
And finally, 71%.
That's the share of Americans who oppose data centers in their communities, according to Gallup.
The backlash is stalling projects and forcing investors to rethink how fast the companies serving data centers can grow.
So if the AI boom is getting more expensive and less popular, what happens to the energy companies that bet on it?
That's coming up on Open Circuit from Latitude Media.
Open Circuit is brought to you by Energy Hub, the flexibility platform for the modern grid.
More than 230 utilities trust Energy Hub to build and operate virtual power plants, delivering 3.6 gigawatts of flexible capacity.
As the resources grow, okay, this is really great.
This is amazing.
This is a great resource.
I can use it.
It's really valuable.
But here's what I really need to do to make it as good as or better than my existing conventional capacity.
Paul Hines is the chief scientist at Energy Hub, where his team develops the algorithms that turn millions of DERs into flexible capacity utilities can stake their grid planning on.
My team is working on the algorithms that allow us to meet the utilities' goals for shaping these virtual power plants.
Machine learning keeps raising the ceiling on what VPPs can deliver.
Energy Hub's platform is trained on. But on years of data from millions of devices, optimized for utility needs across every season and every grid condition.
We're working with utilities not to just enable that capacity, but also make it more flexible so that utilities can use it, you know, more times per year for longer events in ways that are valuable to both customer and utility.
Later in the show, Paul explains how Energy Hub's platform helps utilities scale VPPs for their unique needs as grid demands evolve.
Learn more at energyhub.com.
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We are at a pivotal moment.
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Welcome to the show.
I'm Stephen Lacey, the executive editor of Latitude Media.
Caroline Golan is with us.
She's the chief growth and policy officer at NRG.
Hi, Caroline.
Hello, hello.
Glad to be back.
Jigar Shah is the co-managing partner of Multiplier.
Did you have fun in Austin, Jigar, when I saw you at FlexSummit?
Did you do any two-stepping?
I mean, I crushed it.
You and I went to the summer.
It was the same dinner.
That was a very long table.
I, you know, sometimes have a hard time.
I did not think that the structure of that dinner was good.
I found that I was able to speak with the three people next to me and nobody else.
Maybe good for everybody else.
I don't know.
They did that on purpose.
I get it.
All right.
So it's a big week.
Let's get into the public markets, which are seeing shifting headwinds for clean energy
companies looking to IPO.
We had this combination of high interest rates, skepticism over AI revenues, slower-than-expected
development due to local resistance, and worries over the debt load now driving development.
It's all making investors wary, and we're seeing this play out across the market.
So many companies that are serving or in close proximity to AI are seeing big hits in their
stock prices.
And at the same time, we have Anthropic, which has a planned $1.5 trillion IPO that's sucking
up all the attention away from other companies that are planning to go public.
So as a result, there are a bunch of companies in this space that were expected to benefit
from all this activity.
They're delaying IPOs, they're reportedly getting signals from investors that their
appetites have diminished.
And the list is Holtec, Nuclear Company, SB Energy, and Form Energy.
So what is going on here?
Caroline, what's your read on how the narrative in the market has shifted?
Yeah.
I mean, I think it's pretty straightforward, but it's interesting that it's happening right
now.
And I will be interested to see if it changes.
If it shifts after midterms.
I think that the market gave the AI race a really, really long leash.
Maybe a longer leash than it should have, right?
And they were investing and they were valuing based on potential.
And they were really comfortable with companies being fairly well leveraged, you know?
And now the politics have kicked up.
Capital costs have gotten higher.
It turns out it's hard to build power plants, takes longer than you think.
And some of them are burning out and people are breaking things left and right.
And so you have to be able to demonstrate an actual return and you have to be able to
demonstrate more than just, I think, early stage progress to get the wins that I think
people were able to get maybe a year, year and a half ago, you know, based on an LOI,
or based on, you know, some type of potential partnership.
I just think, I think the leash has gotten tighter and I think, I think it should, frankly,
you know.
Unfortunately, I'm not sure that the companies that are driving the demand here are being
as judicious with the way they're placing capital.
So we'll see.
But I am interested how the midterms will change.
I think.
We're waiting to see if the politics will get worse, it'll get better.
And I personally don't think they've changed irrespective of whether there's a blue wave
or not.
But.
Yeah.
Yeah.
Jigar, what's at the other end of that leash tugging?
Is it interest rates?
Is it earnings to spend ratio?
Is it, you know, companies, pre-revenue companies having a harder time in the market?
Like what do you think it is?
Well, it's all of those things.
Right.
I mean, for those of us who have been on this open circuit journey.
I think we have told everybody to short these stocks for like,
over a year, and folks were like, you're an idiot.
Why would you do that?
Are you talking about energy stocks or the data center?
Well, I think it depends, right?
Each one of the names has a different story, right?
But I just think that for a long time,
people were like, oh no, Jigar,
it's going to be so easy to run data centers off-grid.
I mean, there's still dumb people out there
who think that they can run data centers off-grid, right?
And so those people who sold technology
into those projects are still trying to convince people
that you can run data centers off-grid.
I still don't think we've won that argument.
But if those stock prices went up,
and now all of those projects are delayed,
like crazy delayed.
It's like not just six months delayed, it's a year delayed.
And now they're trucking in natural gas to those projects
because the pipelines are delayed.
And now when you think about just how laughable it is,
I feel like I'm literally watching a Charlie Brown show
with a football,
and people are like, oh, that was not predictable at all.
I don't think that anyone thought
that we could see that coming, right?
So now that it's happened, they're like,
what should we do with the stock price?
Well, obviously, if the compute's not online,
well, then you can't make money off of it.
That's how this works, right?
You can lie to yourself as much as you want,
but at some point, if the compute is not generating tokens,
and you're not getting revenue for those tokens,
then there are consequences to that, right?
And so that's what's happening on those sets of stocks.
Then when you think about the Fervos of the world,
look, I'm not going to badmouth Fervo or anybody else.
The whole thing that I wanted Fervo to do
was to raise $2.2 billion.
They succeeded at doing that.
Now they've got four years to prove
whether they can use that $2.2 billion
to make sure that all of their technology works,
and it can be replicated,
to five more projects, and all these other things.
I don't care what their stock price does,
because they've already raised $2.2 billion,
and now they're going to have a chance to succeed.
I can't say the same thing for some of the other names.
If you look at a lot of the other geothermal names,
they didn't go out and go public.
They don't have $2.2 billion.
They have maybe $200 million.
So we'll see when they run out of cash
and whether the markets are open
and are willing to give them more runway
when they run out of cash.
When you go to the Holtec side of things,
Holtec has not yet turned on Palisades.
Although it's supposed to be turning on any day now,
and I'm hopeful, and I'm super excited
for when that occurs.
And then you're going to have to build
a 300-megawatt reactor there.
They've filed for two new Holtec 300s at that site.
And we'll see where that goes,
but I think that there was some trepidation
when the week was that they were going to go public
that folks were going to buy into the story
that the hyperscalers were going to pay 15 cents a kilowatt hour
for all that power.
And so, you know, we'll see where the contracts land.
Yeah, I mean, I think on Fervo,
I don't think the lower valuation
is something to freak out about.
I mean, I think that across the entire industry,
stocks are down, and that's largely because
you have to show more durable checkpoints.
On construction and on meeting your milestones,
and I don't think that's a bad thing.
I look at Fervo, and I'm like,
okay, if you can do what you said you were going to do,
I think that will probably drive more investment
in the company.
But I think there was a race and an excitement.
And I think the other thing that's happening here
is that we had a flood of new entrants
on the nuclear side, right?
And there was a lot of political support still,
as well as on the nuclear side.
And I just think that it was a little bit of the dog
that caught the car, you know, on the big AI build-out.
And so there was a lot of interest,
and we've talked about this before.
And then there was a bit of a course correction
because there's also a bit of sanity going on now, right?
And I think you see this all the time in markets.
I just don't think you see it with such demoniacal,
demonstrative impact of capital that's on the line, right?
Everyone gets spun up about something.
You get smaller companies that get pulled along for the ride.
Oh, you have a deal with one of the five companies
that's 50% of the overall market right now?
Okay, you're good to go.
But now there's just a little more sanity on it,
and there should be.
I mean, I think there's a lot of nuance
in some of the stuff around like SpaceX and Amazon
and everything that's going on there.
But, and anthropologically,
I think there's a lot of nuance in that.
I think there's a lot of nuance in that.
But generally speaking,
I think lower valuation is a result of three things.
Market prices are low across the country.
So there's that.
Hitting your construction timeline is,
people are slipping because of politics
and because of supply chain,
which we all knew,
but no one could guarantee, right?
And so there's that.
And the last one is,
is that like I actually,
we don't talk about this as much,
but, you know, there's some,
there's some, there's some,
there's some general skepticism
that the demand for the chips
that are sitting on barges in ports.
Yeah, in warehouses.
You're right.
In warehouses at Amazon.
And it's there.
And I think that, that like,
the narrative has always been,
well, they're sitting there
because there isn't enough power.
But I think there is some recognition
that power is part of it,
but also demand is,
is potentially not the hockey stick
that everyone,
everyone's at.
And so this is a course correction.
And I actually, I think sort of,
I'm glad to see it because if it didn't happen,
then I think we do run the risk
of some like massive crash in volatility.
Yeah.
Yeah. And I would add one to that last point,
which is if you look at Anthropix S1,
the bulk of their revenue relies on two customers.
2%, right? And if you look at AI,
no, two main customers.
Yeah. I forgot the percentage of revenue,
but they're heavily dependent on two big customers.
Right.
And then if you look at the bulk of AI revenues
across the industry,
you have a very small number of companies
that represent the bulk of AI spend.
And so it's extremely concentrated
and there's not really the proof yet that this is,
you know, this is durable in terms of revenue
across a wide spectrum of industries, so.
Yeah. And it may get there,
but I just don't think it was going to get there
in three years.
Like that's the thing is that, you know,
everyone's like, ah, the world is going to change.
Caroline, this time was supposed to be different.
Yeah.
What was the last time? I mean, this,
I can't, what was the last time?
Well, the last time was like telecom fiber
and the time before that was something else.
Like I'm just saying that like every news article was like,
we read all that history and this time is different
because this is such a game changing technology
and it's going to put everyone out of a job in four weeks.
Well, it is a game changing technology,
but I just think that it also requires,
and I'm going to say something,
maybe a little controversial, it requires,
it requires a literacy around the technology
and a use case around the technology
that wasn't prebuilt before it disrupted, right?
So there's that coming from the corporate side.
It's like, you actually have to take time to figure out
where this is going to be best used.
And that can slow integration in a way that maybe
I don't think people anticipated.
Yeah. And I would push back on that a little bit, Jigar.
I mean, I think there's a question about how companies can
fill this revenue gap, but there's demand for the computing
inside these data centers.
I mean, it's not like the railroads,
these small companies in the railroad era
that just like built railroads to nowhere.
These are the most highly capitalized companies
in the world that are building data centers
to meet actual demand.
So there's, you know, definitely a different dynamic.
I mean, potato, potato, right?
I mean, all I'm saying is that like on this side of the fence,
you've got people who want to build
only 1000 megawatt data centers, right?
Which are literally building the city of Cincinnati
in every single place, right?
And then on this side, you have people that want to build
five megawatt data centers at substations.
Utilities are saying, here's where we have excess capacity.
We would love for you to fill it because then like
we could reduce costs for everybody.
And the data center companies are saying, we hate you.
We would like to build the city of Cincinnati in every place
and make your life a living hell.
So if, if it was so hard to build a data center,
if it was so hard for them to get compute,
why wouldn't they work with the utility companies and say,
yeah, we'll take those five megawatt sites
and actually put like compute in all those long lines
so that we can actually increase utilization.
And maybe they are.
Nvidia made that big announcement this week
and Crusoe made a big announcement
on their five megawatt unit, et cetera.
But I'm just saying we are in a situation right now
where it is very obvious that on the one hand,
tokens are going up in price to your point,
because we're short compute.
And on the other hand,
there are people saying,
here's some really great solutions.
And the folks who are buying it are saying,
no, we know better than you.
We are so much smarter than you.
And the stock market isn't buying that they actually are.
- I mean, they've also sunk billions of dollars
into what they thought was better, right?
And so they don't have the balance sheet to pivot.
- Without any knowledge whatsoever
by which to say that it's better, right?
Just with their pure masculine energy.
- Masculine.
- So I don't care.
Like they could lose half their stock.
their stock price and I would cheer
because I'm so sick and tired of them.
But you should care.
Because, like, if they do—
Why should I care about the masculine energy?
Because then the whole market comes down.
Well, so let's get—
I'm fine with the feminine energy coming back.
This is why I still love you.
Let it loose.
Let it loose.
But there is, like, nuance.
But there is nuance.
So, like, you look at SpaceX, right?
Still revenues, positive, still lots of deployment in AI.
Market price is down.
Stock price is down.
They reduced their CapEx.
They're the first company to actually reduce CapEx.
They restated and reduced their CapEx, right?
But that shows discipline, does it not?
Or no?
I mean, that shows that they're finally starting to listen to the non-masculine energy.
Like, I just think that at some point you have to look at the data and say, like, for these companies who are the most profitable companies in history to have negative cash flows, at some point you're like, what are you doing, man?
Like, seriously.
Like, Meta just announced that they went into negative cash flows.
Right?
I mean, even Tesla, you know, the only reason they made money, really, this last quarter was because they had a one-time increase in tariff refunds of $700 million.
Yeah, but their revenue has slowed as well.
Yeah.
Their revenue has slowed.
But it's across the board.
Like, it is across the board in the energy space.
Yeah.
Cash flow revenue is down.
Who's most exposed?
I mean, so, obviously, the neoclouds are the ones that are taking the biggest hit.
Like, who else do you think is most exposed here right now?
On which side of the aisle?
On the data center infrastructure side.
I think, I mean, I tend to agree with Jigar on this.
I think the development companies that went all in on the gigafactories are probably most exposed.
Interesting.
And then what about the energy side?
Well, on the energy side, anyone who didn't take a DOE loan, probably.
Why is that?
Why is that?
Well.
It was a joke.
Well, kind of not a joke.
I mean, I think everyone's exposed.
I mean, look at PJM.
Look at ERCOT.
Look at, I mean, market prices are down.
Places that were sure bets are paused.
Right?
I mean, everyone's exposed.
I think the companies, and I think what you're seeing is that everyone is saying, okay, like, how do we affect discipline then?
Right?
We all got a little crazy.
We all went to the party.
We all drank the A.
I Kool-Aid.
But I think a lot of energy companies, and, you know, I talk to a lot of the supplier community, and even sort of like, you know, the smaller IPP space are all recognizing, we'd like to be here for 30, 50 more years, you know?
So how much of our balance sheet are we willing to leverage to do this?
And I think a lot of investors are saying, please don't leverage a lot of your balance sheet to do that.
And I was drinking NA beer, to be clear.
Not Kool-Aid.
I was not drinking Kool-Aid.
Like, you know, I just think that this was so obvious in coming, right?
And all of the people who are like, I'm going to take old ship engines and power a data center with it.
I'm going to rip off, you know, like, these engines off of old airplanes sitting in the desert in Phoenix and run data centers off of it.
Good riddance to all of them.
But they're still doing that, aren't they?
Like, I don't know.
I don't think that's totally gone away.
Yeah, they are.
But good riddance to their investors.
Good riddance to everybody who thought that, like, basically destroying the planet to be able to power AI data centers faster by two seconds was a good idea.
Like, I hope they all lose their shirt.
Well, folks, that's it.
No, but I'm just saying, like, look, I mean, there could have been, I get the fact that people were talking too much about climate change, right?
And then the Trump administration came in and said, all of you guys were talking.
We're not talking about climate change too much, right?
But it's not like the IPCC didn't just come out and say that, you know, we're definitely way past 1.5 degrees.
Now we're at 2.8 probably.
We're going to have to look at geoengineering.
And then on this side, the guy's like, oh, let me take the dirtiest possible power plant and figure out how to run a data center off grid in the middle of Utah.
And now they've got to, like, truck in natural gas because the pipeline didn't come in on time.
And, like, I'm sorry.
I'm not crying.
I'm not crying for you.
Earlier, we met Paul Hines, Energy Hub's chief scientist.
His team develops the machine learning that orchestrates 3.6 gigawatts of virtual power plants.
When you see a utility using algorithms that we wrote on the whiteboard running 250 megawatt events, I think that's pretty amazing.
Utilities need capacity they can deploy now, and they're finding it in virtual power plants, which are precise and configurable.
I've got customers that have time of use rates. We need to make sure we respect that. I need to pre-cool during these hours. Maybe there's some hours that have a lot of solar power, so let's make sure that we soak up as much of that solar as we can. But I need to really manage my peak during this other period of time. And so figuring out how do we take all those goals and then come up with schedules for all the resources, whether it's batteries, thermostats, electric vehicles.
Energy Hub maps that evolution through a four-level maturity curve. Level one looks like traditional demand response.
At levels three and four, a VPP is a real-time resource that can meet many different needs on the system.
It's actually better than a power plant because you're able to solve problems in the distribution network, which is where a lot of the cost is right now. You're able to solve problems in an automated way, whereas power plants actually are fairly slow to respond to issues.
It's the future of how the grid operates, and we just need to connect them in the right ways, give them the right algorithms, and make that happen.
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Um, I want to talk about some of the delayed IPOs, but, uh, and so many of these companies
are just looking at the market and saying, this isn't the right time, but there's a whole
range of companies that are, that are benefiting from the development, you know, hundreds of
billions of dollars in development are getting frozen, but there's still a lot of development
happening.
And that's really good for companies like Voltus, which is seeing gigawatt scale demand
now for VPPs.
It's great for the battery suppliers are just in a crazy amount of batteries, the electronics
component suppliers that are developing the electrical architecture. This is still a really
good market for a lot of the midsize companies along this industry. Yeah. I mean, I completely
agree with that. We're being more disciplined. And frankly, so I think that a lot of the companies
that have hesitated to go public, I think there is also nuance there. I mean, some of them are
hesitating to go public because they realize they can't meet the scrutiny that exists today that
didn't exist a year ago. That's not necessarily a bad thing for the market, right? And I think
some of them are not going public because there is a general sort of damned if you do, damned if
you don't, if you're attached to specific hyperscaler load in this moment, right? And so
I think that the former is good. I think the latter could play itself, people are banking
on it playing itself out within the next couple of months. And I'm not sure that that's going to
happen. Yeah, I think when you look at the Voltus type deals, right, this is a no regrets approach,
right? Because if the AI data center load growth doesn't show up, using the grid that we already
have more efficiently doesn't lose money, right?
Like, being able to flex load with the same level of dexterity that we flex supply still
makes the whole grid operate better, right?
And so, like, that's a no-regrets approach.
And so, yes, the ideas that are no-regrets approach is like battery storage or like load
flex and all that stuff.
Yeah, they should keep going, like, regardless of what happens because it just makes everything
run better. Right? But my point is, is that when you look at the filings at NIPSCO in Indiana
this week, and they're now trying to rate base $3,500 a KW, right? To put that in perspective,
To put that in perspective,
that's $400,000 a megawatt year for the capacity.
The PJM at the rate cap is at $140,000 a megawatt year.
So they are overpaying for gas by 3x, right?
And for what purpose?
That's going to get rate-based for 30 years, right?
And if the AI data center load doesn't show up,
then what, Microsoft or somebody else
pays for 80% of their capacity payment
for a turbine that doesn't run?
I mean, what kind of, like, this is the height of insanity
in terms of how people think about what we should do
as we move towards a decarbonized grid.
I don't think the PJM cap or the market
is reflective of what it costs to build new gas, though.
So, I mean. Okay, but then give me a number, right?
Because four years earlier, Nipsco and their IRP
put in $1,100 a KW for that same exact,
same exact gas plant.
Same thing's true for Duke.
Duke's at $3,000 a KW now.
They were at $850 a KW four years ago, right?
At what point do you say,
huh, maybe the old way that we were doing things
is not the right way to do it in the future, right?
I just think that, like,
the reason people are so pissed off, right,
and you look at poll number after poll number
and how governors have to be anti-utility
to even get elected these days,
is because I just think that people
are just sort of, like, vibing it right now.
And I was like, there is math that you can do
around what the easiest way is
to be able to meet this moment.
And for you to do the exact opposite
should get the vitriol that I'm spewing.
So you've laid out some buckets of reasons there, Caroline.
Like, do you want to apply that to any of the companies?
I mean, so SP Energy seems like
the kind of company that's facing. This is a renewable developer
that is now doing integrated data center development,
these mega campuses.
They reportedly got pushback
on the $50 billion valuation they were seeking.
Form Energy felt like the market
was not going to support its price goal.
How would you bucketize
some of these different companies?
Yeah, I mean, so part of. I think some of the other nuance that's going on here
is that similar to the cost of building new natural gas,
the cost of raising capital
and the cost of meeting projections
from a year ago today went up by 25%.
Across the board, right?
So if you were preparing an IPO,
say a year ago,
to go public this year,
what's actually going to bake the cake
is higher than it was.
And it's gone up dramatically.
So, and I think if you haven't within that year
shown demonstrative checkpoints in your advancement,
then like you're sort of caught
in between these two bookends
and that means that you're not going to be able to do it.
And that would make me question
whether to go public or not, right?
I just, I think that there are a lot of factors here
that are, and not all of them are working at the same time
on every single company, on every single issue, right?
And so I do think the, you know,
you can be a phenomenal technology
and you can be, still have very successful development
and perhaps need to be a little more successful
and more conservative in the way you think about going public
or what you need to show.
And I'm not sure that that's a bad thing.
Do I think because people are waiting to go public
that that means they're going to go bankrupt?
No, not at all.
I just think that it means they're going to have to show
more due diligence on what they've done
and they just have to be able to show
a little more feasibility in their construction.
And that's okay.
I mean, the reality is that is the scrutiny
we held this market to for decades.
And then we lost it for a little while.
And, you know, I've said this before on the podcast.
Like we, there were times at Google where I was like,
we are kind of making and breaking things just on LOIs.
And I'm not sure that's the right way to invest, you know?
So I think we are, we are returning
to the level of scrutiny that was there.
The other thing, of course,
that's happening across all of this is,
you know, IRA dollars disappeared.
And so if you've been planning this for years, right?
And then you,
you've got all these different, you know,
forces working against you.
And I just think it's a higher level of scrutiny.
I don't think it means this industry is going away.
I don't think it means it's a bad investment.
I don't think it means these technologies won't win out.
I just think they're having to be a little more conservative.
And perhaps them being more conservative
is going to force the, you know, the overall,
what were you drinking?
I was drinking Kool-Aid.
I don't know.
You were drinking-
Non-alcoholic beer later.
N.A. beer.
I had like, I think-
Non-alcoholic beer?
To Carolyn's point-
Oh, I was thinking like PBRs.
I mean, to Carolyn's point,
I think some of these companies
have not hit their milestones, right?
Like, I love Form Energy,
but they do not have a very large project
up and running at scale that's collecting data.
It's just what it is.
And I'm not bad-mouthing them.
I don't, I'm not saying that they're going to-
No, I think they're great.
Fail.
Yeah.
But they need to have one of those up and running.
And the one at GRE is not yet up and running, right?
And so, but I also think that a lot,
a lot of the investors in Vervo stock,
you know, should know
what they're getting themselves into, right?
I mean, it is a new way of making geothermal.
I think it is well-studied,
and DOE and others have put a lot of money into it,
but now they have to get all of their techniques right, right?
And so if you don't want that risk profile,
you shouldn't own the stock, right?
Like, it's not a guarantee.
They haven't had profitable quarters
for the last, you know, five years
before they went public.
Like, they represented themselves
exactly the way they should represent themselves,
which,
I think is fine.
On the nuclear front,
same thing, right?
Like, look,
I love me Xenergy,
but they still haven't built
their first reactor yet, right?
I mean, they've got a partnership with Dow.
They've got a couple of other partnerships with Amazon.
They're trying to get stuff done, right?
And so, you know, like, they're public.
It's going to be a very volatile stock
because they haven't built their first reactor
that's commercial,
that's NRC approved, right?
Kairos obviously has taken a different route
where they've got a partnership with Google,
but they haven't gone public
and they've been trying to raise money
from private sources,
different direction on their part.
And I wouldn't say that,
again, I don't,
I think that the more conservative nature
is not reflective of an overall erosion
and power demand.
I think it's more reflective
of a very excited investment community
that woke up to the realities
of building a nuclear plant.
I think it's more reflective of a very excited investment community.
And frankly, the bar of durability
sort of slipped for a little while.
And we've talked about some of those companies
and Jigar had to apologize to them
for what he said afterwards.
Did I?
I think you did.
But you know, that bar slipped.
Depends on who we're talking about.
That bar slipped.
Now the bar is going back up.
I don't think that that's a bad thing.
Yeah, that all feels right to me.
Jigar, part of what you do with Multiplier
is to help companies think about their exit strategy.
What are you telling companies about
the path forward?
Well, last year I told them
the market is fully open
and if you want to go into the public markets
you have a short window
by which to do it, right?
And that window is closed?
I think that window is on pause for sure.
You never know whether something's closed
or open until you look
through the rearview mirror.
But right now it certainly looks paused.
And I think it depends
on the company
and what the characteristics are.
But I do think
that as Carolyn suggested
we still need more power
on the grid, right?
And so for those folks
like if Voltus is able to meet
this Google contract
in the next 12 months
which I suspect they can
then they'll be given a chance
to quadruple that contract again, right?
Or 10x that contract again
because we are short capacity.
Every one of the hyperscalers
is short 10,000 megawatts of capacity.
Right?
Like, you know, contracts they signed
are not coming through us.
They're going to go on time
and are getting indefinitely delayed.
And so they need capacity
and Voltus is one of the solutions
for that capacity.
But they're doing deals
like one commercial customer at a time.
And so a lot of the hyperscalers
are nervous and are saying
how many of those commercial customers exist?
Can you really get 10,000 megawatts
of flexibility or only 1,000 megawatts?
They got to prove themselves, right?
So they now have the chance
to do that, right?
And so I think that's true
across the board.
Whether it's residential battery suppliers,
whether it's thermostat people
like Everyday Electric now,
or whether it's other folks,
everyone is going to get their chance
to prove themselves.
All of the nuclear companies
that got grant funding from the U.S. military
for five army bases
also will have a chance to prove themselves
and they're going to get paid cash
to build those reactors.
And now they're going to have to deliver
or not deliver.
And, you know, it's in their hands.
I think one of the other aspects here
that I don't have an answer to
and I actually think about,
maybe we can bring it back
on another show,
is that, you know,
in the past two years
you've also seen the movement
and the consolidation
of the nuclear industry
with the private equity platforms, right? And so that has presented a different approach
to the way that some of the deal-making happens, right? And the way that we think about debt,
the way we think about, you know, consolidating these supply issues, right? And I don't know
how much that has changed the way that even smaller companies think about their trajectory.
You know, like if I am, you know, a mid-size development company, is my goal exit? Is my
goal to get onto one of these platforms? You know, it's a very different space than we were in
a handful of years ago. I mean, you know, between KKR and BlackRock and BlackRock,
I mean, now they're consolidating these huge development platforms and they're picking the
different pieces. And I think it's probably the way a lot of it gets done moving forward. And so
now there's another path to it, right? And you can go public and then go there. You could not,
right? And so I think that there is, I mean, you saw this Invenergy, you know, $3 billion stake in
Invenergy from private equity, right? Invenergy is not public. They didn't go public. They did that
instead.
I think that there's, there are more paths towards profitability. And I think that there
should be more scrutiny on going public considering how much the market is determined by a handful of
companies right now.
Well, I mean, you know, Charles Schwab has that ad campaign that they have now that's called
Filthy Comfortable.
I don't know.
Have you seen this?
I don't watch television.
And, you know, that's what that represents, right?
But what is it? Tell us the ad.
Well, like, there's a bunch of people who are like, you know, I'm very filthy comfortable,
right? And it's basically like, if you try to go public or you try to have these big exits, then,
you know, you're trying to become filthy rich. If you go to private equity,
like, no one becomes rich. That's not how private equity works, right? They become rich.
They become rich, right. That's right.
You work for them. You get a decent salary and decent bonuses and a bunch of promises that they
never keep on the back end. And, you know, there's a bunch of people who are like, well, I'm not
And, you know, and that's what it is, right? But you get unlimited capital by which to do
your core business, right? And that's fun. And it's useful because you get to do a lot
of great stuff, right? But you never become filthy rich. You get filthy comfortable.
Yeah, but on the flip side, if your stock is dropping and your investors are pissed,
similar handcuffs, you know?
Yeah.
Oh, I'm not suggesting otherwise, but I'm simply saying that that's what a lot of people
are deciding between what to do with their platform. Because, you know, like a lot of the
private equity guys also, like to them, these are all ones and zeros on a page. It's not clear
that they actually really even care about these businesses that are underlying there, right?
When you look at like what's happened to the renewable natural gas space and a lot of the
consolidation there, right? And so, you know, I think that one of the big challenges that we have
is on the one hand, we're talking about technologies and areas that are not necessarily
that follow the law of capitalism, right? They save customers money. The customers want to sign
contracts. They deliver solutions, et cetera. And then on the other hand, we're talking about
technologies that are on that bridge to bankability. They have not yet proven themselves
and they are in need of a lot of capital to be able to get to the other side and be able to
prove that it works and then they can get their costs down and they can be mass manufactured and
all of those things, right? And the question that we're asking ourselves,
is now that the IRA is effectively dead and, you know, the loan programs office is not really
leaning into more difficult names, like what is the right pathway for these folks to succeed?
Vervo has taken the public offering pathway, right? Others tried to copy them. We're talking
about private equity, but I'm not sure that private equity is going to give a lot of money
to companies that lose money systematically and, you know, need another five years to prove whether
they're going to be successful.
No. And so you said something that we haven't really brought in, which I think is interesting
that we haven't brought in, which is that, you know, all of these companies started, and we'll
put the IRA money on the side for a second. So whether you're, you know, clean tech or not,
but all of these companies started with a general belief in open markets and innovation,
the opportunity in this country,
to succeed in sort of a capitalist system. And within the past year and a half, we've become
more populous as a country than we've probably been in a hundred years. And so that, when I call
my friends in this space and I say, what's the biggest challenge? Politics.
Yep.
It doesn't matter if you're Constellation or if you're Vervo or if you're Tesla. I mean,
it's politics.
And I do think if that hadn't emerged, I question whether the discipline in the market and the
conservatism would have transpired. So in many ways, and you know, we can see the silver lining
here, is that like democracy is working in some way in course correcting. And so I just think that
we, those of us who work in the business of power,
even though we've always known on the, on the renewable side or the clean energy side,
that it's all about regulatory and policy alignment. I think generally the power industry
underestimated the strength of the populist pushback. I don't think the clean tech space
ever thought that building a power plant would mean that you are synonymous with the evil overlords
of AI, right? And I think that's a big part of the power industry. And I think that that emergence is probably a far more weighted variable in this
than, than we're giving it a credit for. I agree with that assessment entirely.
Let's, let's hit one more angle to this, which is the IPPs. So NRG, Vistra, Talon,
Constellation are all down on the year. I think there's a combination of things happening here.
It's been great. It's cut-side joint. It's cut-side joint.
Power prices in Texas, making it hard to build new power that, you know, these companies are
also seen as AI derivative companies. Like what is the market telling us about IPPs right now,
Caroline? I mean, market prices are soft. Yeah. You know, the most, most of the investor bases
in the IPP space, I think are, are generally split. There, there, there's some investors,
and this is broadly, this isn't, I'm not just speaking for NRG. I think there's,
there are investors who, who want the IPPs to go after, you know, the golden ticket. But I think a
lot of investors are like, no, we don't want you to. We want you to just stay steady eddies. So you
can, I mean, the IPP space, for what it's worth, has been sort of a plug and play investment
community for decades, right? And you ride the weather. Prices are up, you make money. Prices
are down, you don't make money. Now there's this new layer of like signing a bilateral and,
and getting durable cash that way. Okay. How much of your balance sheet are you willing to
leverage? Consto's deal with Google was a direct signal that, you know, which is a great deal. I'm
very supportive of it. But like, it was a direct signal that those uprates were not going to clear
the market. They weren't going to clear the market. And so they needed an offtake to do it.
But that, and, but that's true for all of these technologies.
Right, right. Exactly. Exactly. But if you are an industry that is 90% merchant and market,
that's what your stock is going to be down. I mean, prices are low in Texas. The, the cap in PJM,
is lower than it would need to be for a lot of the IPPs to develop anything new.
We have to separate some of this stuff, right? Like I think, um, if you're talking about
new assets, right? The IPPs, broadly speaking, were started by, let's say, AES back in the 80s,
and they were using PERPA to, you know, to bring on technologies. Yes. Like if you're
building new natural gas right now, new nuclear uprates,
like none of those things pencil without a long-term offtake agreement from a hyperscaler
that's guaranteeing you a return on investment at a price that pencils, right? So I think that
makes total sense. That's the story, right? I don't think there's anything particularly interesting.
It's not, it's not the whole story, right? So then if you look at Texas, I'd say that,
I mean, you tell me, but I don't think that the vast majority of batteries were deployed by the
traditional IPPs. No.
I think there were a lot of new companies that had a new business model with new metrics around,
Well, I think the business model was, I think the business model was there was a six-year window
to capitalize on. And if you look at returns in ERCOT for storage, it's decreasing, right? Because
essentially it's going to run out of its ability to chase the margin between, from peak, right?
And that's a natural occurrence with
technology like storage, unless you start pairing it and start integrating it and blending it in
different ways, right? But no, that's absolutely right. And so prices are down and prices are
soft. The other thing though, in ERCOT and PJM is that it's interesting. I was actually talking
about this with a friend the other day, which is that there's like PJM is looking at ERCOT and
going, man, that's the way we should have done it. There's no capacity market there. The capacity
market is what's killing us. And then ERCOT's looking at PJM and, you know, would never admit
this, but there's a number of entities within ERCOT are going like, without a capacity signal,
we're going to erode plants. Like power plants are going to go offline, right? If prices continue
to drop, that's just economics, right? And so there's this interesting interplay between the
two. Neither of them I think have it right. And I think the truth is, and Jigar, you've said it a
lot, it is time to have a very different view of what market structures need to look like moving
forward. And I don't think there is a perfect market out there. And I think that I will say
it now, but I think there will be legislation in Texas next year that asks this, like, is the
market today, you know, what we need going forward? And I'm hopeful that there are people with
interesting views. All right. So let's speculate to end here. What are your wildcards going forward?
So.
I think we can see data center resistance as a wildcard. I don't think anybody two years ago
saw just how powerful the resistance would become. Right now, a lot of people are sitting
here freaking out about the cybersecurity threats of agents. Banks now have agents swimming around
in their systems making transactions. They don't know which ones are malicious. You have people
who don't know much about hacking now able to use open weight models to send teams of hackers out.
You know, I don't know.
I don't know how this is going to affect markets, but you can see a world in which AI companies like
take a hit if there's this massive cyber event that wreaks havoc on like the financial system.
So this has like downstream consequences. I'm kind of curious about what's in the back of
your mind. What are the crazy things that could happen that actually might not be that crazy at
all?
Jigger buys a tweet vest. That's the crazy thing about it.
Yes.
A buckaroo jacket.
A buckaroo jacket.
A buckaroo jacket.
You go.
But I'm staying away from the cowboy boots.
You go.
Like if you think of all the wild scenarios.
You're not a cowboy boots.
That people are worried about right now. Do any of them feel like they are material enough?
Here's the truth on some of this. Like this, this whole like agent thing or I actually,
and I will leave my personal opinions out of this. I actually think what you will see happen
if something like that happens is the narrative that the only thing that can tackle AI terrorism
is AI.
Ah, so it makes the, the AI labs more powerful.
Yes.
And concentrated. Yeah.
Yes.
Yeah. I buy that.
So I don't know.
I don't know that that does anything to, I mean, it does more for political unrest.
I think the wild card is going to be the narrative around China being months behind us goes away and they're no longer months.
They are ahead of us.
Yeah.
Yeah. And, and then, and the question becomes, well, do you need to host all this infrastructure to benefit from the integration into the economy?
And, and I think that is not the wild card.
I think that is the card.
That plays out within the next year, year and a half.
Yeah.
Yeah.
And at some point the systems are so powerful, like being months behind, does it really even matter?
Like that they're going to be a so capable.
Right.
Or there's just so much differentiation and optionality in which type of framework or large language model you choose.
Yeah.
Yeah.
All right, Jigar, what's your wild scenario?
I mean, I think I go back to Carolyn's point on politics, right?
I mean, part of the reason why the markets are so uneasy is because.
Because they don't understand who the sheriff is in town, right?
So whether it's on the AI side or whether it's on all of these CFTC oil trades that, you know, didn't get prosecuted.
I mean, today people no longer believe that Brent, right?
The oil price at Brent actually represents the cost of oil, right?
Just think about what that means when you have an actual metric that you're basing billions.
Billions of dollars of contracts against.
And you're like, I don't even know what that number means anymore, right?
And so when you think about like all of these things, it leads you to this populist approach, which I don't think people have fathomed what the pathway is to AOC becoming president.
Well, it's not even AOC.
I mean, like if you have.
Yeah, yeah, I think that's reasonable.
Vance and Warren and AOC sort of all.
If you're all saying the same thing, like what does that mean, right?
And I, I, but I don't know.
I do think a lot of the moratorium concerns are really more about a pause because I think governors are getting wise to the fact like, oh, this is a negotiation.
This is more than just maybe tax.
This is more like, what do I, what do I want out of this?
I mean, this is certainly what Jennifer Granholm has been saying.
But I would suggest to you, it's a little bit different than that.
I hear you.
But I think this is more about, you know, do we need large data centers?
Yeah, that's my thing on the like, is it worth it?
Is the infrastructure worth it?
Right.
Yeah.
I mean, the companies are saying, yes, they do.
Right.
But the companies are lying through their teeth.
These models have so many parameters.
Right.
But these models are so much bigger.
There's so many parameters.
They're not.
Yes, they are.
They're not.
Oh, my God.
EPOC AI has.
Yes, they are.
EPOC AI has debunked it and said basically that, that because all of the data is now
behind anti-fetching approaches, they're never going to get to the weighted models that they
need to use four gigawatts of compute.
The current models that they're training right now still are less than one gigawatt.
We're going to have to pause on that one and hold.
I will, because I don't necessarily agree with that, but I think the question,
is still, can you become a leader in the next version of the global economy, integrating
AI, without hosting all the damn data centers?
And I think a year ago, we told everyone, you can't.
And I just don't know if that's true.
Well, you're, but you said something differently earlier, Carolyn, which I think is worth talking
about, which is that.
We're still talking.
Still talking?
All right.
That ultimately, this is about integration of the tool.
Right.
Right?
It's really like what Red Hat did to Linux, right?
Linux was powerful, but no one knew how to use it.
And Red Hat figured out how to make it usable for people, right?
And so, like, I mean, yes, the models matter, but what matters more is this, like, layer
where people can help train people around how to really unlock productivity.
And to me, that layer of value creation doesn't require 1,000 megawatt data centers.
And the reason it matters to me is, just to be clear, is not about whether I win this
argument.
It's about, if you're a populist, right, and you have a building that needs a million dollars
worth of upgrades, putting a 500 kilowatt data center in the basement of that building
and getting them to pay for the million dollars of upgrades is pretty easy.
It's a pretty easy trade.
And I think you're going to see that all day long.
Okay, so what you're really arguing is that it's all going to happen.
It's just going to happen in a more edge infrastructure.
Because that's where the trade comes, right?
Because that's where the negotiation can be.
That's where you can actually get something out.
And the communities aren't getting anything out of the bigger ones.
Yeah, we just talked about the delta between transmission and distribution.
There are so many buildings right now that are office buildings that are,
50% empty.
They have 3,000 amps of unused service, right?
So you can put a data center there.
And what the mayors want in return is that they meet their energy efficiency standards
and the water efficiency standards.
And they get upgraded, right?
Because a lot of these buildings are in disrepair.
I just think that there's a level of political efficiency here that people are not seeing
because they're just so obsessed with, you know, the energy efficiency standards.
They're just so obsessed with, you know, the energy efficiency standards.
with going bigger and bigger and bigger.
I totally agree.
And I think this is where China has a leg up.
They actually have a strategy to make AI useful throughout the economy, throughout
provinces, so that local leaders figure out how to adopt it inside government, make it
useful for people.
So does the Middle East, frankly.
Yeah.
And I absolutely think that that is a huge advantage for China and for the Middle East.
But I think you can, I think you still need a lot of these centralized data centers for
the kind of training that we're talking about.
Like, I don't know how many.
I don't know the exact translation between the trillions and trillions and trillions of
parameters and the amount of gigawatts you need.
That, to me, is still a very open question.
But, like, these models are getting absolutely enormous.
And, like, there is going to be a need for these large megacampuses.
We just can't deny that.
Which we have 36 of them already, to be clear.
Yeah.
So are you suggesting we need another 36 of these large campuses?
No.
I mean, I don't really know.
Right?
I don't know.
You should know because it's destroying the stock market.
Well, if Stephen knew, he would not be hosting this podcast.
Yeah, exactly.
I'd be an operations officer at OpenAI or something
No, but there are a lot of operations officers in OpenAI
and they don't get listened to either
because I've talked to many of them
and they agree that inference can be small
The reason I bring this up, Stephen, is not to be pedantic about it
but just because the fact that this is whatever it is
like a trillion dollars of infrastructure per year
and no one has the answers to this most basic question
means that people are investing capital
without understanding very basic things that they should know
I just really think that investment and developers
underestimated how hard it is to build large centralized power plants
And everything goes from there
Everything just goes from there
And whether they pivot, and maybe they should
or whether they just lose a ton of money
beating their head against the wall
We'll see
But I think at the end of the day
it was just
people thought that if they had a contract for turbines
then the turbines would get built
That is such a good place to close it
and I think that is what is driving this market correction
People are figuring out just how difficult this stuff is
So, well said
A fun conversation
Caroline Golan, so good to see you
Always a treat
Thank you, Stephen
Vigor, great to see you
Your sweater just made my day
Made me feel cozy New England
Thank you
Well, you know, it is a fantastic fall
Good to see you both
Such a joy seeing you
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Podcast Summary
Key Points:
Friction-maxing involves deliberately choosing analog, hands-on activities over digital convenience, such as calling instead of texting or shopping in person, creating a lifestyle rooted in tangible experience.
The younger generation increasingly lacks traditional forms of accountability or "paper trails," reflected in a culture of instant digital communication with little traceability or follow-up.
The clean energy and AI sectors are facing a market downturn due to rising interest rates, local resistance, supply chain delays, and skepticism over revenue models and infrastructure feasibility.
Key companies like Holtec, SB Energy, and Form Energy have delayed or shelved IPOs as investors demand more demonstrable progress, construction milestones, and financial feasibility.
Market skepticism is driven by overvaluation in the past, high capital costs, political resistance, and growing public opposition to data centers and new energy projects.
Energy flexibility solutions like virtual power plants (VPPs), powered by machine learning and distributed energy resources, are gaining traction as a more cost-effective and responsive alternative to traditional power plants.
A shift in investor discipline is emerging, with greater scrutiny on proof of milestones, long-term viability, and financial sustainability, especially among pre-revenue or early-stage clean energy firms.
The broader trend reflects a market recalibration after years of hype, emphasizing practicality, resilience, and long-term value over speculative growth.
Summary:
The conversation explores two central themes: personal philosophy and market dynamics. On one hand, the host emphasizes a lifestyle of "friction-maxing"—choosing analog over digital, like calling instead of texting or visiting stores instead of using online services—highlighting a deeper cultural shift away from instant, traceable communication. This reflects a loss of traditional accountability in digital culture, where actions are rarely recorded or acknowledged.
On the other hand, the financial segment reveals a sharp downturn in clean energy and AI-related companies, as investors confront reality after years of overhype. High interest rates, political resistance, supply chain issues, and public opposition to data centers have led to delays in IPOs for key firms like Holtec, SB Energy, and Form Energy. These developments stem from rising capital costs and a market shift toward greater scrutiny on construction timelines and financial viability.
Despite this, practical solutions like virtual power plants—leveraging machine learning and distributed energy resources—are emerging as more efficient and flexible grid tools. The broader takeaway is that the market is recalibrating, moving from speculative excitement to disciplined, evidence-based investment. This course correction, driven by both economic and political forces, signals a more grounded approach to energy innovation, where long-term sustainability and real-world performance are now paramount.
FAQs
Friction-maxing involves intentionally reducing reliance on digital tools and streamlined processes by choosing physical, hands-on activities—like calling someone instead of texting, visiting the library instead of using online books, or going to the store for groceries. It’s about adding deliberate 'friction' to slow down automation and increase personal engagement.
Some people prefer phone calls because they value face-to-face interaction, find texting impersonal, or believe in the authenticity of direct, real-time conversations. These individuals often see such resistance as a form of 'friction-maxing' to stay grounded in tangible, human experiences.
High interest rates, increased construction costs, and public skepticism over AI demand have led to delays or cancellations of IPOs for clean energy companies like Holtec, SB Energy, and Form Energy. These companies face tougher scrutiny due to higher capital costs and slower-than-expected project timelines.
Three main factors include rising 10-year Treasury yields (making borrowing more expensive), a 71% public opposition to data centers, and a projected $5 trillion shortfall in AI data center revenue by 2030. These issues have made investor confidence wane and delayed development plans.
VPPs use smart devices like thermostats and EVs to provide flexible, real-time grid capacity. They offer faster, more responsive support than traditional power plants and are especially valuable in balancing supply and demand during peak times or solar/wind fluctuations.
These companies lack large-scale, operational projects demonstrating success. For instance, Form Energy has not yet launched a commercial geothermal project at scale, and Holtec's reactor at Palisades is delayed. Investors now demand tangible milestones before supporting IPOs or further investment.
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