This month’s "Best of" episode highlights key energy and policy issues facing the U.S. and beyond. It examines how data center demand is destabilizing electricity markets across different regulatory structures, showing that in each, ratepayers absorb the risk despite the market design. Inverter security concerns are addressed by identifying that undocumented components in Chinese-made devices stem from generic boards, not malicious intent, and that software-level oversight is needed. Housing affordability in Idaho became a personal and political issue after failed development projects and real-life struggles with childcare and rent. Charging networks are innovating by repurposing historic infrastructure into accessible, regionally customized stations, with seamless, app-free plug-and-charge experiences across vehicles. Uruguay’s successful renewable transition demonstrates how long-term vision and shared benefits can achieve bipartisan political consensus. A central theme is the conflict between utility business models—focused on capital spending and returns—and innovation that reduces infrastructure costs. AI data centers are being integrated into grid operations through flexible workloads, where AI agents manage downclocking based on user-defined priority tiers to balance grid stability and computing performance. Finally, the controversial use of the Defense Production Act to restart a California oil pipeline raises concerns about executive overreach and sets a dangerous precedent for future clean energy policy, underscoring the need for transparency and checks on emergency powers. The episode concludes by affirming listener feedback as a driver for content evolution and urges ongoing engagement with the show’s new compilation format.
All right, all right, all right. Hello, everyone. This is Volts for September 4, 2026. The best
of August. I'm your host, David Roberts. So last month, we tried something new around
here, a compilation of clips from the month's episodes strung together in a single place
so that listeners could scan and see what they might have missed. I asked at the end
of that one whether you found it worthwhile and useful, and many of you wrote in to say
that you did. So we're going to make it a regular feature. Here's how it will work.
Every month, there's a best of episode. Paid subscribers get early access. And when the
next month comes, they get a new episode. The next one comes out, the previous one opens up to everyone. The July edition is open now. So if you haven't heard it, or you know somebody who's been meaning to check out the show, that's the one to send them. As for August, it was wide ranging, which is how I like it. Data centers twice from opposite ends, including state lawmakers dealing with them and companies trying to improve them. Grid cybersecurity, public EV
charging, the surprising run of bipartisan housing bills out of Idaho, why utilities can't seem to
adopt anything new, what a future administration ought to do with the tools this one is busy
beating us over the head with, and a listener favorite out of Uruguay. As always, I deeply
appreciate all of you who support this work by becoming a paid subscriber. This podcast is 100%
listener supported. I could not do it without you. All right, then, with no further ado. We begin
with Salim Chapman of Climate Cabinet on why a variety of electricity markets are failing on
data centers, and how states could do better. One point that I think is important in the paper,
and that is interesting to me, is that these risks, they're not necessarily
unique to a particular kind of market design. As Volt's listeners know, there are vertically
integrated utilities, some places, there's what are called restructured markets, there's ERCOT,
whatever ERCOT is. One of the points you make in the paper is that people are making
kind of mistakes. There's this kind of the same failure pattern shows up in all kinds of market
designs. Can you walk through that a little bit?
Maybe some examples of like the different places that are that are messing this up?
Sure, yeah. So we, and as part of our paper, we looked at three different markets that operate
within three different states. And so if you start with Georgia, which is the example of a regulated
energy market, right, old school, vertically, old school, vertically integrated, old school,
vertically integrated, I think those of which most people would sort of be most familiar with and
think about when they think about utilities.
And so what we saw in Georgia is that the Public Utility Commission proved a major gas expansion
really built on justification that was derived from developer supply forecasts. And so in that
instance, the process worked exactly as it should. There was nothing sort of bad faith about it,
but it still created a situation where ratepayers had significantly exposure, cost exposure,
if those demand projections were right. And so that's what we saw in Georgia.
So the ratepayers are paying for the gas, the gas plant build out. And if the demand doesn't show up
to absorb all that gas build out, it's the ratepayers who are paying for the stranded assets,
basically. Exactly.
And then PJM, though, PJM is a competitive market, restructured market. Talk through that one a
little bit.
So what we're seeing in a state like PJM is, is that you can have a single hyperscale campus being
bought online. At the cases that we looked at, it was 30% of local peak demand within that particular
region. And that triggered a capacity market event, which ultimately resulted in, as you've, if people
have been following the PJM sort of issue, that you're seeing sort of historical, you know,
historical capacity prices year over year. And so what we are seeing there is, is that similar,
the process worked exactly as it should. But by triggering that capacity market event,
you had states all across the 13 state footprint that PJM covers, having to take on some of the
cost that was associated with bringing a new facility online when they had no say in actual
the decision making around whether or not the facility will be approved.
Yeah, who pays? This comes up again and again. And then there's finally ERCOT, which people, you know, I think which people think of intuitively is like sort of the most free market, closest thing to a free market type of system. And they might think, well, in that kind of market, surely, you know, it's the developer who takes the risk if it's, you know, really working like a free market, but it's turns out there's failures there too. Talk about that one real quick.
Yeah, exactly. I mean, what we also know is as we are confronting this new period of technological innovation, we are also operating within a much more volatile climate than what we have historically had. And so in the ERCOT case, we saw hyperscale growth colliding with extreme weather events. And so some of the emergency programs and gas dispatching that had to be put in place to meet that emergency event added billions in surplus charges that really surfaced as price volatility.
But wasn't actually visible as a line item on any individual ratepayers bills that said, you know, this was driven by hyperscale growth.
Right, right. Shows up as price volatility in the market, which is absorbed by everybody who's involved in the market.
Exactly.
And so all these kind of come down to who is taking the risk and who is paying the price.
In all these cases, you take data centers, demand forecasts, these developer demand forecasts, translate them into a bunch of costs, right, to anticipate meeting that need.
And it is the ratepayers ultimately who are paying those costs to prepare.
So in other words, it's the ratepayers who are taking on that risk, it's the ratepayers who are paying.
And then if the developer forecasts don't pan out, the ratepayers are stuck with it.
That's like, that's kind of the core theme through all those market, despite the market structures.
That is the core theme, that ultimately this comes down to who's taking on the risk and who's capturing the value.
Next up, we have Patrick Miller, cybersecurity analyst.
He's a cybersecurity expert on the Chinese inverters that everyone is worried about.
As I think people probably know, most inverters, you know, we're talking about inverter-based resources.
Most inverters come from China right now.
There was this big Reuters investigation in 2025, which said that inspectors found all kinds of little undocumented communication devices.
Inside solar inverters and batteries.
And I guess like two questions.
A, what do you do about what I imagine are now hundreds of thousands, if not millions of those Chinese inverters that are already installed somewhere and running?
Like you can't yank them all out.
There's no practical way to audit them all.
What do you do about those?
And then what do you do about the new ones?
As you said, you can't do anything about them.
As you say, we have no jurisdiction over China.
Like how do we exercise any control over what China puts in those inverters?
Yeah, I'm going to keep this at a non-technical level because it gets really technical really fast.
So in general, you're absolutely right.
There's millions of these things out there and they do have a lot of undocumented communications components in them.
But I want to make sure we're really understanding what that means.
And I want to make sure we're really understanding what that means.
Without any hype whatsoever.
When China manufactures a lot of this equipment, they literally do it on what's called a commodity board.
So you can imagine in your mind like a motherboard, right?
It's a computer component where the chips and the memory and all those things sit.
And they'll buy literally millions of these at once.
And they'll buy them, you know, from a commodity manufacturer that just makes, you know, boards, literally like generic board.
Right.
And on that board, it'll have all the things.
Just in case you need them, whether you use them or not.
They don't buy specific boards with.
these components. So when they, I mean, 99% of the ones I've seen that they've gone out and found
stuff, it's just been the commodity board. Yes, it came with a radio. It came with a modem. It
came with a place for a SIM card. There wasn't a SIM card inserted, but it has all those components
on there in case the buyer of these commodity boards wants to use that functionality.
I see. I see. So not nefarious inclusion of these, right?
Not necessarily. So whenever you see those, you kind of have to take that with a grain of salt
and think, well, if there's millions of these things out there, did they just use commodity
gear and they're just not, you know, this is just part of the board that maybe it's used,
maybe it's not. Now they have found some of these things, phoning home and, you know,
the routing traffic through China. So that's a different discussion. That's at the software level,
you know, where the applications that you're using to manage these devices and that kind of
stuff. So those are, those are different components. And we, there's some supply
chain there that we can impose because it's software, right? We can inspect code
and we can enforce certain rules on how code is developed and what's, you know, certain like
transparency of the code. We need to look at the code before we're willing to allow it,
these kinds of things. And we're not just going to let updates from China happen without
someone taking a look at it before it goes in, those kinds of things. So there are some
gates we can put in place. You say there might be these elements on the boards just because the
boards are sort of generic and created for maybe lots of different purposes. Could those,
could those components of the board that aren't being used be activated later? Do you know what
I mean? Sort of remotely activated. Like that's, I guess, is the worry. Yeah, they're, they're there
and they could be activated, but they'd have to have, I mean, you, you could activate them,
but you'd also have to configure them. Like it's hard to explain, but when you, when,
just because you turn something on, doesn't mean it's ready to be used.
Like even a phone, you can turn a phone on, but you have to give it a SIM card. That's got an
activation code.
That's got, you know, all these things have to happen before it'll actually work on a cell
network. I mean, you could get a phone out of the box and turn it on and it just doesn't do
anything. So those, those pieces of gear are there. That doesn't mean even if you did enable
it, that it would automatically work. So it does, it, it, it ups the ante in terms of just like
flipping a switch and getting this like rogue network of these things to go do stuff.
Then on to Idaho, where legislators,
Ben Toews and Megan Egbert explain how each of them got radicalized on the subject of housing.
Nothing radicalizes people about housing in America more than
trying to build something. Tell us how you sort of came to be engaged on this issue.
Yeah, certainly. We recognized that there's a serious issue with
affordable housing, especially for the next generation to own their own home. The costs
in our area is around $550,000 on average for a single family dwelling. And so, um, back in 2020,
uh, we purchased, um, a small piece of land. Um, it had a PUD, so it had, uh, 20 units already
set up to be built on it. And, uh, it was going to be small homes, probably average
a thousand square feet. Um, the range would be 700 to 1200 square feet. And it was on small lots.
And I was like, we can sell these. We're open to sell these in the $300,000 range,
open the door for the next generation to be able to get into a house. And, uh, partway through the
process, the city came back to us and we went to renew the PUD and they said, uh, sorry, you can't
do that. Um, there's new green space requirements and your plans don't match those requirements.
And so they shut the whole project down. Uh, and so it was very frustrating.
Uh, I wasn't in the legislature at the time, but I saw it as a real issue back then. And I,
and it just became more and more of an issue. Awesome. And, and Megan, same question to you.
You are a librarian for many years and then became a lawyer, an employment lawyer, and were
appointed to the legislature a few years ago and then ran and won your seat. What brought you to
the housing issue specifically? Yeah, it was actually during the pandemic,
myself, like many other Idahoans were faced with no childcare while we were still trying to work.
Um, which was a very frustrating experience that I know many can relate to. And, uh, I have the,
you know, fortunate ability of having a mother-in-law, father-in-law who live out of state,
who are retired, who were willing to look for a home here to help with childcare during this time.
And I think that that was the first eye-opening experience for me was, you know, they were moving
from Chicago or in theory were willing to move from Chicago to Idaho to be close to family. Um,
and there was just no options. It was not even a possibility to move here during that time.
And then, you know, the second thing that has happened is I have older children. My oldest is
20 years old. She works in the medical field. She works in the
hospital. That's about, you know, a 20 minute drive from our house. And she recently, she's
still living at home, started looking for a studio apartment, you know, in a, in a suburb
of our capital city here, Boise, and cannot find a studio apartment, uh, that costs
less than my mortgage for a four bedroom house. Um, and so I think there's just two examples of
why this, you know, became so important to me. Uh, and then mostly it's just because this is the
most important issue facing Idahoans right now. We know this from multiple surveys and just from
our own conversations with people is that Idahoans are getting priced out of living in Idaho.
Well, let me stick with you for a second, Megan. I want to hear a little bit about this
committee, this interim housing study committee, uh, you were on. This was
modeled on a similar committee they set up in Montana. I'm sort of curious. You have this room,
you have these free market, North Idaho Republicans, you got Boise Democrats,
you got realtors, home builders, a developer and the apartment association, the city of Boise.
It kind of sounds like the setup for a joke. I'm very curious how that went down in the room,
how that felt.
And sort of like what you learned through that experience that you didn't know going in.
Yeah, it was an amazing experience. I will say though, I came to it late. I took somebody's
spot on the committee, um, when they stepped down from the legislature. So I was trying to do double
duty of catching up. Um, I think the beauty of the committee comes in, is exactly though what
you were just explaining of, you know, how different the perspectives were that were on it.
And, you know, I myself, although, uh, am technically a Boise Democrat, I probably find
myself agreeing more with the free market, North Idahoans, uh, on many, many issues. Um, this being
one of them probably. And I was mentioning before we started here, I grew up in North Idaho. Um,
and it was eyeopening for me. I think that we got to travel the state with this one perspective that
we were looking at. Right. So we have industry, we have industry, we have industry, we have industry,
we have industry folks, we have legislators, we have cities, counties, we have representatives
from everywhere. And we got to travel the state and look at this one problem. And I think the most
eyeopening part for me was that it became very clear that this is not a Boise problem. This is
not a Coeur d'Alene problem. This is a statewide problem. And I think anybody who participated
in that committee would have to say the same thing. We get to travel the state, we get to
talk about local control all we want. Local control makes a lot of sense when something is
simply a local problem. This, this is not. And here's Seth Cutler of Iona, the charging network
owned by eight automakers on why one of their sites is technically a bakery.
Final question about the sort of like amenities thing is, are these customized at all regionally
or like?
Based on whether it's in a city or on a highway somewhere, like, I guess how much work is going
into sort of customizing the experience on a location based way?
Yeah, I mean, I think that's actually the fun part. So we, early on, we said, we said,
listen, we know we want to do things differently. We want to buy land, we want to want to build our
own amenities. And in some cases, we went and bought a greenfield piece of land, it was a, you
know, a piece of dirt or grass, right? And we and we built in the architecture.
Houston, our Houston rechargery is just that where we, we built from the ground up an amenity.
And we customize it for that location. What can we fit there want to build no less than eight
charging bays? What can we fit? But what could we could fit was two bathrooms, outdoor seating
vending machines, that's what we could fit. And we and it's a great site. And we know that because
how much people how many people come on a daily basis. But then we went and we found other sites,
hey, this is a we found in our apex North Carolina location, which is just outside Raleigh, the
suburbs of Raleigh, we cut our first ribbon there.
That was 100 year old gas station. We thought that'd be really cool, right? Let's, let's, let's
at the service station of the it was closed down it was yeah it was closed i mean it was a service
station that was opened in the early 1900s shut down the 60s and 70s and became a uh i think they
were selling kitchen granite top right when we took it over so that that was that was so we so
we that was unique we made we made that into an experience that one has a local entrepreneur that
sells baked goods out of that site and the reason for that was because the zoning requirements
meant that you couldn't have a refueling center but you could have a local restaurant or bakery
so that's so it's it's classified as just that and oh so it's technically a bakery with charging
chargers exactly yep 100 right so that so so what we've been very flexible as we work with cities
and towns are very flexible the types of sites that we're buying or leasing to again bring really
great charging to customers and we've done that and you know there's like there's a list of sites
i can give you each one has a story of an old gas station of an old natural gas station
um
from an old car dealership of an old subways uh restaurant that we've taken over and we've
converted it to a ionic rechargery interesting um the chargers themselves you're working with
eight automakers um i'm sure they all have their own apps they all have their own gizmos
how do you make the like the literally the plugging in and charging itself how do you
make that consistent across all of them
all those apps across all those different kinds of vehicles across the the two basic kinds of
hookups what does the charger look like and what does the software look like and what is the
experience like am i scanning a card am i tapping a card am i you know is it is this something where
it recognizes the car when i pull up and i don't have to do anything what is the experience of
charging itself like yeah well i'll start with the one thing you don't do is download an ion app
because there is no ion app oh really there's no separate app there's no app
you know and there's no intention to make a mobile app and the reason for that is because
to your point every oem every automaker has an app today chargepoint has an app presto has an app
i can go on and on so we actually have 14 different apps that you can use at iona
but none of them are iona and on top of that every every charging station has a credit card reader on
it um and we've got you know a plug-in charge and auto charge with you know a significant number of
oems even beyond just our eight right so we have the eight investors
that we've turned on plug and charge for most of them the rest coming very soon but we've also
turned on so that means so just just to just to clarify for listeners that means i can drive up
grab the charger stick it in my car and it recognizes my car and will charge it to my
account without my scanning anything or tapping or doing anything exactly a frictionless experience
for drivers from there to uruguay ramon mendez galine who
i've been wanting to talk to for years ran that country's transition to 98 percent renewables
here he is on how he got every political party to sign on to the same plan
well one of the most sort of fascinating at least from where i'm standing here in the united states
sort of baffling aspects of all this is you came in in a majority government you had a political
party that promised you to basically generate political unity on this to create a plan that
every political party would sign off on basically so that these changes would be enduring and steady
over time and of course i'm sure any country would love to have political unity to make their plans
enduring over time but how in the world did you get everyone from every
side of politics to sign off on these very ambitious plans well this was one of the two or
three most important issues that allows us to make this transition because yes what is happening for
the last 20 years in our western democracies is that we're going from one government to another
government and things have changed dramatically and it's even worse because the energy sector is
in a way politicized and
ideologized which means that you put the ideology in that which is a technical and
economical environmental discussion which in fact has no meaning at all so what i did is when the
president asked me to lead a technical and political committee trying to figure out a
long-term solution or long-term transition on a new framework for the energy sector in the country
my proposal was let's try to discuss what the benefits are for our constituencies no matter
if they vote right to left or center or whatever i mean what are the benefits of going to one
direction or the other and the crucial point was let us not begin discussing about what we should
do today not even next year not even during this government let's try to imagine how we can think
the country should be in 30 years from now so we are thinking about 30 years in the future
everything becomes much more simple when we're discussed because
if we're going to have a new government we're going to have to think about how we're going to
manage it and if you're asking about what we should do now or next year the order of first
thoughts are and what am i gaining or losing in this direction should i have more and less power
should i have more and less votes should i have more and less money but if you're discussing about
the future the real future you don't imagine yourself 30 years in the future i mean it's
simple to discuss how you can imagine the country if you're not in this imagination so
it's not that difficult to imagine the country that we would like to have 30 years in the future
concerning the power sector and then we make a kind of reverse engineering so if we have to be in
30 you have to be in this point where should we be in 25 years i'd wait in 20 i went in 15 and then
when we're going back and back it was becoming a little bit more difficult but at the end of the
day if we want to face on this amazing future then we have to take decision now and this was the way
that we built an overall
agreement but once again the most important thing was that we build it according to the benefits
of the new system we bring to our citizens and this was the question speaking in that i'm curious
what role if any climate change played in that discussion was that a big part of the puzzle or
were you focused more on just basic financial and security benefits what was the sort of discussion
like it was
one of the most important point but not the most important one the point at that time and now it's
much much simpler but at that time the point is that for any country but particularly for a country
oil imported country and gas import country the most important was trying to have the basis of
our system based on our own national resources because if you have your own national resources
you don't have to depend on fluctuation of energy commodity prices
or decision of wars or whatever decision that you cannot take but other things for you and you have to pay for the
consequences of that and renewables for us was for sure the best option because renewables you are not
dependent on an energy commodity price you are much less vulnerable to this with geopolitical events all over the
world and are your own national resources so you are much more sovereign and much more independent much more stabilized as
an energy system
also this month quinn nakayama of pg&e on the question i end up asking every utility eventually
which is why would you ever adopt something that saves money
well this brings me to my final question quinn maybe this is where you're going but this is
probably the question that my listeners have been waiting for me to ask this whole this whole hour
which is if the utility spends a capital dollar
on a pole and a wire they spend a large chunk of money and they get a guaranteed rate of return
on it they make money that way whereas if you come in with some digital solution and you say
here's a super cheap software-based solution that can help you avoid the need for that pole and that
wire look you can save money a normal business would be like oh good i get to save money but a
utility business if they save that money makes less money you know this is something we come back to again and again and again on this pod the utility wants to spend money that's how they make money and almost everything we're talking about under the heading of innovation is one way or another something that avoids the need to spend a bunch of capex on big infrastructure i.e. something that
is going to reduce
an investor-owned utilities
profits and i just don't know it just seems to me like the very basic business model we're talking
about here the very basic regulatory structure of these utilities is working against innovation
almost intrinsically how do you get around that i guess is my question like how do you work around
that very basic business model that we're talking about here the very basic regulatory structure of these utilities is working against innovation almost intrinsically how do you get around that i guess is my question like how do you work around that very
a very basic mismatch of incentives.
a couple of things here. One is that used to be the case. And I would say that if you take a look
at a lot of the utilities that had zero to 2% flat growth in their utility sector, and they weren't
building a lot of infrastructure and all of them would be like, yeah, let's do more capital. We
need to figure out how to get a rate of return. That may have been the case in a lot of utilities
in the past. Now, all these utilities, including ourselves are like, we need to get rid of some of
this capital because we can't spend it all without really ballooning rates. Like if there are ways
that we can defer capital spend, if there are ways that we can have alternative ways.
It may be in California, Quinn, but look out at the country. Like I see utility executives just
like drunk on this. They're like, heck yeah. Like you want us to build a lot? We're going to build
all we can build. We're super excited to spend CapEx. We're super to spend more and more like,
and I'm not.
I'm not sure that the political blowback has fully reached them yet or like changed their
mindset yet. I would say there was a swing where all of these data centers happened very quickly
that caused all this infrastructure to build, that be built out, that then caused this lag on
the generation side. And, you know, more broadly, it was just, it just happened a lot faster than a
lot of folks could react to. But if you think that this whole politics on raising rates and the
blowout that's happening, it's just, it's just a lot faster than a lot of folks could react to.
I think that's just not true. And I think the reason why is that, listen, you know,
utilities actually don't want legislation coming into their area. I don't think that they actually,
utilities writ large, because you have everybody commenting into areas that
maybe people are not as well informed into. And the utility space is very complicated. It's an
engineering nightmare. It's, you got to think about protection. You got to think about a whole
bunch of other type of things. And so I would say that most utilities out there, most utility
executives are very concerned about customer affordability. They just need to figure out
how exactly do they incorporate all of this AI data center related large growth that's happening
super fast without coming across as being obstructionist toward that growth. And at the
same time, figuring out how to do this with less capital.
I feel like, you know, that's pendulum is vastly swinging the other direction. Now we have way too
much capital as we're in wildfire, by the way, it's not just a California problem. I don't know
if you've seen, but there's wildfires happening everywhere. So like hardening infrastructure for
capital, everybody's going to be coming out of their ears with capital. Now it's going to be
about how do you do, how do you meet these objectives that you have on these really big
ambitions that the state has on low growth, the state might have,
on wildfire related risk or whatever other catastrophes that they're having with a
changed climate that's already out there. And then trying to do all of that with less money,
because the rate blowback is just going to be too big. I think that in order for us to do this
effectively though, I think we need to figure out how to take some of these O&M related expenses,
operation and management, operation and management related expenses,
and figure out how to peanut butter them a little bit more across a broader range of time.
And I think that's going to be a big issue. I think that's going to be a big issue. Which smells like capital, but what I'm just trying to say is that when you have an operations and
maintenance related expense, it hits the rate payer the next year, right? A capital project
that's $300 million that's spread over 40 years hits the rate payer much less over a long period
of time. That's why I think even in a utility such as California, we don't want a lot of O&M expenses
on our books just because next year that's going to hit your rates. And a capital project can spend
a lot more money, but hit the rate payers very fractionally as rate making occurs in all of our
areas. So that's just something to consider. It doesn't really necessarily have to do with a rate
of return. After that, Varun Sivaram of Emerald AI on making data centers flex down for the grid.
I have some questions about just the computing front. So one of the things your framework has
is these tiers of computing workloads. There are jobs that can't be touched, that have to run all
the time. There are jobs that can tolerate 10% throughput loss, 25%, 50%. There's these tiers. So one of my questions is
who decides what's in what tier? Is that something that the owners of the compute tell you? Or is that
something that conductor analyzes the compute and makes its own judgments about what is and isn't
movable and controllable? Where do the tiers come from?
That's a great question, Dave. It's the heart of what we're doing, which is serving both sides at
the same time, the energy grids needs and the AI customers needs. Look, at the end of the day, AI customers are doing the
most economically important work in America, right? Generating valuable tokens of artificial
intelligence. And you don't want to mess with that in a way that's going to degrade their expected
quality of service. And so, yes, today for our commercial scale deployments, we receive tags from
the customers, the users of AI compute, tagging which of their jobs has which flexibility parameter.
And it's more than just, you know, this can be flexed and this cannot be. Some jobs, a benchmarking run, for
example, can downclock the clock frequency of the GPU because it'll mess with the benchmarking run. Some jobs, a fine
tuning run, they can be deferred. They could also be downclocked. But some particular workloads like a serving
inference job really can't be downclocked or paused because the user expects an answer within a latency bound and
perhaps that needs to be geo shifted. So within different priority tiers, you know, low, medium, higher on a scale of
zero to 100, as well as across different characteristics, preemptibility, throttle ability, the ability to
be paused and checkpointed or the ability to be moved within residency requirements. It's a complicated set of constraints. And we
feed this in through what we call the normalizer to turn it into actions that we can take. And then our AI agents take the
actions.
Well, I'm sort of, I mean, one of the things I wonder is if somebody gets that wrong, who's responsible? Like who's holding the
bag at the end of the day? Like if you could downclock the power, a job slows down. And for some reason that someone didn't anticipate
that breaks a job or doesn't get the result at once, or there's an unanticipated result. Is that just on the compute load for
mislabeling its job? Or who's responsible if something goes wrong with the jobs?
Yeah, great question, Dave. And I'll use this to mention, you know, this is high stakes, high reward in kind of three different
dimensions. Number one, it's massively high reward, because if we make this all work, we can fit 100 gigawatts, as you mentioned from the
data centers onto the grid that we didn't think we could fit. And we'll walk through the benefits of that. So massive reward. High stakes,
though, is on both sides. If you don't do this right, the grid could face reliability issues. On the other side, if you don't do this
right, the AI customers might face failed expectations, again, for the most economically valuable work in America. And the third
dimension, of course, is a security dimension. AI data centers becoming energy technologies and this fusion of AI data centers
and AI and the energy system, where we sit at the interface, is a potential security threat, right? These are two massive multi-trillion dollar
networks that are critical infrastructure for America's economy. It's the backbone of our future economy. And so we've got to make sure that we're doing all of this in a very safe way that protects the reliability of the grid, is resilient to intruders or threats from abroad and domestically, and protects the integrity of the AI workloads. Your specific question, Dave, is who pays if there's a screw up?
And the answer to that specific question lies in the contracting, right? There will be, depending on the context, the grid, if they're offering you a faster connection, they may say, you know what, if you don't curtail your power when we ask you to, there may be a financial penalty or there may even be a technical penalty. I'll flip your breaker.
And finally, Trump used the Defense Production Act, a 1941 war powers law, to force a ruptured California oil pipeline.
Back online for one of his donors, Todd Tucker of the Roosevelt Institute discusses whether the next administration should hand that tool back.
Run us through the Sable case, just so we can have the context for what we're talking about here. Just briefly talk about the role of the DPA in that case.
Yeah. So as you established in your introduction, this is a case that has been kicking around.
You know, California courts for years now and a company, Sable. Sable is a Texas company that was involved in the offshore oil industry in California. And they had been tied up in litigation in California, you know, for about the last decade, trying to get approval to restart production out there. When Trump comes back into office, they start floating the idea of using this sort of FDR era tool.
You know, Defense Production Act, which had its roots in the second War Powers Act of 1941.
Roosevelt administration that gives government all this power to not only prioritize governmental
contracts, but actually to reorient the structure of contracts, even in private markets. And so
that's what Trump did here. He basically said any companies that can help Sable produce oil
in California need to prioritize contracts for Sable in order to get that going as quickly as
possible. And, you know, this is something that the DPA is a tool that the Pentagon uses a lot
for defense and national security purposes. But this is one of the more ambitious uses, again,
sort of really going back to, you know, the mid-20th century in doing it for a non-national
security purpose, really just more to benefit an individual fossil producer. It will have some
impact on oil prices, which is ostensibly sort of a nexus here that merits DPA
use.
But not very much. I mean, it really is more of a handout to one of the president's campaign
contributors. And so, you know, what the argument that we make in several Roosevelt pieces is that
this precedent has now been set to use the DPA for clean as well. If it can be used for fossil
for these purposes, then it can be used in an even smarter fashion for clean purposes. And,
you know, I think that, for instance, some of the hiccups in the offshore wind industry sort of
around 2020, I think that's going to be a big hit. And I think that's going to be a big hit.
I think that's going to be a big hit. But if that gets affirmed, if a judge says, yes, the DPA can override state law, that the Trump administration is just kind of going to go on a bender, overriding all kinds of California state laws and other state laws in other states, doing whatever it wants on the basis of the DPA.
And so I guess I would just sort of ask flatly, do you want the Ninth Circuit to uphold this judgment and affirm that the DPA can override?
State policy, like if you had your druthers, is this an affirmative good or are you just talking about making the best out of something bad that's happened? Like, would you actually want the DPA to be used this way and to be affirmed as capable of being used this way?
It's a totally fair question, and I am of two minds of it.
You know, I think on the one hand, in the very near term, it is obviously troubling the way.
That the Trump administration is using not only the DPA, but earlier the International Economic Emergency Powers Act to impose tariffs.
You know, he's using a lot of the best of the New Deal legacy to hammer home things that are sort of narrow and short-sighted and to benefit his campaign donors.
You know, as someone who's worked a long time at the Roosevelt Institute, it gives me no joy at all that it's Trump rather than Biden that is using these authorities to the maximum.
Yeah.
On the other hand, in part because of all of these problems and weaknesses in our democracy and the fact that, you know, a single senator from a single state can block all sorts of policy from going forward and that, you know, filibuster rules make it really hard to do anything other than tax credits, right?
We have all these kind of fundamental problems in our system, and tools like the DPA or the International Emergency Economic Powers Act give the executive branch a way to move forward.
Even when Congress is being obstinate.
So, you know, I think what we argue for in this volume is that if these tools are going to be on the table, we need to get rid of this asymmetry where, you know, right-wing anti-climate governments use their powers to the hilt.
But when progressive governments are in power, they sort of hold themselves back in the name of these outdated norms.
So, you know, I think what we argue for in this volume is that if these tools are going to be on the table, we need to get rid of these abnormal policies that are going to make them look like they're going to be on the table.
So, if something caught your ear, go listen to the whole thing.
And keep telling me whether this is working.
The notes after the July episode are the reason this one exists.
If there's a conversation where you'd have clipped something else, say which one.
And if there's something else we could do to make all this content useful to you, let us know.
Back to full-length episodes next week.
Thanks, as always, for making this possible.
See you next time.
Podcast Summary
Key Points:
Electricity market failures in data centers—across regulated, competitive, and free-market systems—show a common pattern where ratepayers ultimately bear the risk and cost of inaccurate demand forecasts.
Chinese solar inverters contain undocumented communication components due to generic commodity boards; while not inherently malicious, remote activation risks exist and require software-level scrutiny and supply chain transparency.
Idaho lawmakers were radicalized by firsthand experience with housing affordability, including project shutdowns due to zoning changes and the inability to find affordable rentals for young families.
Charging networks like IonA customize amenities regionally, repurposing historic sites such as gas stations into multifunctional recharging hubs, while enabling frictionless plug-and-charge across eight automakers’ vehicles.
Uruguay achieved bipartisan renewable energy adoption by focusing on long-term future vision and citizen benefits, not short-term political gain, leading to political unity across party lines.
Utility business models, rooted in capital-intensive infrastructure and guaranteed returns, inherently resist innovation that reduces capital expenditures and profits.
AI data centers can flex down for grid stability, with workloads categorized by flexibility tiers—determined by compute owners and managed via AI agents—balancing grid reliability and AI performance.
The Defense Production Act’s use to force a California oil pipeline restart was politically motivated and risks setting precedent for executive overreach, especially in clean energy policy.
Summary:
S. and beyond. It examines how data center demand is destabilizing electricity markets across different regulatory structures, showing that in each, ratepayers absorb the risk despite the market design.
Inverter security concerns are addressed by identifying that undocumented components in Chinese-made devices stem from generic boards, not malicious intent, and that software-level oversight is needed. Housing affordability in Idaho became a personal and political issue after failed development projects and real-life struggles with childcare and rent. Charging networks are innovating by repurposing historic infrastructure into accessible, regionally customized stations, with seamless, app-free plug-and-charge experiences across vehicles.
Uruguay’s successful renewable transition demonstrates how long-term vision and shared benefits can achieve bipartisan political consensus. A central theme is the conflict between utility business models—focused on capital spending and returns—and innovation that reduces infrastructure costs. AI data centers are being integrated into grid operations through flexible workloads, where AI agents manage downclocking based on user-defined priority tiers to balance grid stability and computing performance.
Finally, the controversial use of the Defense Production Act to restart a California oil pipeline raises concerns about executive overreach and sets a dangerous precedent for future clean energy policy, underscoring the need for transparency and checks on emergency powers. The episode concludes by affirming listener feedback as a driver for content evolution and urges ongoing engagement with the show’s new compilation format.
FAQs
Data center demand forecasts are leading to over-investment in energy infrastructure, and the costs are ultimately borne by ratepayers, regardless of market structure—whether in regulated, competitive, or free-market systems.
Many Chinese inverters contain undetected communication components on generic boards, but these are not necessarily malicious. Activation requires configuration, and the real risk comes from software-level remote control, which can be mitigated through code transparency and pre-approval checks.
Ben Toews was frustrated when a housing project was shut down due to new green space requirements, while Megan Egbert saw firsthand how rising home costs made it impossible for people, including her family, to find affordable housing during the pandemic.
Yes, networks like IonA customize charging sites based on location—transforming old gas stations or service stations into unique amenities like bakeries or outdoor seating with charging stations.
AI workloads are categorized by flexibility—some can be paused or downclocked—allowing data centers to reduce power usage during low demand, helping stabilize the grid without sacrificing AI performance.
Utilities rely on capital expenditures to generate profits. New digital solutions that reduce infrastructure costs may lower profits, creating a fundamental conflict with their business model and regulatory structure.
Chat with AI
Loading...
Pro features
Go deeper with this episode
Unlock creator-grade tools that turn any transcript into show notes and subtitle files.