AI

“One of the areas that's challenging is the explainability of it. When you're training these models, you're trying to get them to do what they do, and then they go make decisions. It's really hard to kind of backtrace, like, why did you make decision X versus w…”

“The promise is there and we'll absolutely get there. But there's just some significant challenges technology-wise to make sure that, you know, no, you're not going to throw out your Newton-Raphson power flow model tomorrow because we've got this cool AI. Like,…”

“The answer to AI data consumption growth or energy consumption growth is probably AI, finding other applications for it, and we see these from some of the providers.”

“The primary reason why, you know, we're not on a path Towards, you know, full automation, and there's, you know, been a spade of use cases launched is just modeling grid physics accurately is incredibly difficult, right, for an algorithm. So, you know, solutio…”

“I can't say that there is an enormous new market emerging because of AI. As a result, I think AI is kind of riding the wave within the sector.”

“I'm actually Someone who's in the camp of taking the under on how impactful AI will be at least in the next, let's say, five years.”

“I think we see it, ah, in a number of ways, but not in its own category, largely. So we see our existing companies leveraging it to make their businesses more efficient. We see new companies who, it's a fundamental of their product, and then, you know, we obvi…”

“I'd be surprised if we and EIP and others like us don't have in two or three years at least a couple of companies who have, you know, an AI co-pilot or something where AI is the core offering of what they're doing.”

“One of the biggest bottlenecks for everything that's going on with AI is actually the interfaces, the memory interfaces, the data interfaces from chip to chip, all those things. And those have not seen as much innovation, actually.”

“Until there's applications where there's real money flowing in the other direction, we may see a little bit of a correction as well.”

“I think it is undeniably gumming up the works right now, if you are trying to accelerate electrification of other stuff as quickly as you possibly can, particularly industrial stuff.”

“So now what you see is AI coming along and that's like a completely new application and it's a massive application. So now that's just stacking on top of this other transition of, as things move from enterprise Into the cloud. And now your stack on top of that…”

“The reality is the real benefit is engineering the products that we have to drive efficiency. And I see. I see that happening relatively slowly.”

“I think we're moving into a world where it's not It's not demand driven, it's supply driven. You know, and we talk about power, but I think it's more than just power. It's trades to build data centers, right?”

“Of course, the world abounds with ways to use AI to do things more efficiently, but to really move the needle on like gigatons of emissions, I think is trickier.”

“AI hasn't really done this yet. Even today's best AI models seem to be really good at kind of doing the textbook stuff, you know, like high school, college, but then when you think about being more creative and, you know, trying to shift the paradigm, it's bee…”

“Power is the main constraint right now.”

“Today, the biggest consumer of cooling is data centers. So as we talk about AI and all the AI applications, all that doesn't exist without a significant amount of cooling to keep those servers warm and keep those data centers operating.”

“And so not to mention the fact that the ability to acquire and collect those electrons then in some ways creates a moat against other folks that would want to try to do the same thing. So the more electrons That you can get a hold of, especially in the AI worl…”

“But I think where we're really going is with technology, artificial intelligence connected devices to really be able to, for humans to say, this is a What's gonna make me comfortable in my house is at this time of day to set the thermostat here or there and gi…”

“And certainly, so we're seeing that more and more, I think, as awareness of data centers and AIs growing, and there, people are starting to hear that that requires a lot of electricity. They become more interested in utilities.”

“Hydro-Quebec, for instance, as a whole, A menagerie of robots for inspecting power lines, for inspecting so the actual line, but also for inspecting vegetation around power lines and preventing fires. All that again, you know, very boring kind of maintenance t…”

“Again, with a very basic AI tool, we were able to replicate that risk analysis And do a better job than the human graders did.”

“So utilities show some resistance. Often one of the difficulties we have is that our customers want to be fast followers. And in order to be fast followers, you need to follow someone. So someone has to go first. That's definitely an issue in this sector in pa…”

“AI for material science, great for discovering new materials. The manufacturing scale-up is usually the hard part. So great, I've got this new MOF. I've got to make a lot of it very cheaply. The AI doesn't really help me very much with that. Like, in theory, m…”

“And that has evolved a lot, obviously, over the last 15 years, where now the capabilities of anticipating when electricity prices are going to be going up or down, having unique insight into, in terms of, like, the thermal model of your home, having unique ins…”

“Back in the 2000, there was not really any demand growth. Now we're seeing phenomenal demand growth, which was strong to begin with, but just, I mean, really taken off with artificial intelligence driving it. And, you know, those trillion dollar balance sheet …”

“And it is it has emerged as a choke point for the suite of technologies that, you know, is, is the most important area of innovation in the world right now, which is AI.”

“That, you know, with this increasing demand, it's gonna create a ton of opportunity for businesses that solve the grid optimization problem that create software, and again, AI. So this data center and AI growth can actually contribute to improving delivery on …”

“Quantum is much more science-based in some sense. It doesn't require a huge corpus of information to reach its conclusions. It's based more on the physics and the science of what it means to how a material interacts. So without data, AI is basically just Kind …”

“You've got people saying now that, well, AI is going to take all the jobs. Therefore, AI needs to create a fund to pay people who will no longer have a job. That is absurd.”

“I think it is the complete opposite. I think the potential is even higher.”

“So I do think the, you know, the tech companies have, you A real issue around how AI has been presented, you know, and that is causing a lot of this backlash as well.”

“And in fact, the only jobs that have been lost really because of AI to date are like software engineers.”