Transcript
A (0:00)
Foreign.
B (0:05)
Companies are getting a power up. You're listening to Motley Fool Money. It is Monday, October 27th, and I am your host, Tim Byers. With me, our longtime fools, Nick Seiple, who also supports our Canadian services, and Seth Jason has been covering emerging tech as long as I have, maybe longer. Both have forgotten more about power in the energy markets than I will ever know, which is why it's great to have both of you here today. We want to talk about a different element of the AI story. And it's all AI, all the time, and it's exhausting. But we need to talk about how and where we'll get all the power needed to make sure our soon to be robot overlords are serving us well. So, Nick, let's start talking about the AI power problem here. I want to tee you up with this. Apparently we ought to be adding 80. I guess it's gigawatts. I don't know if it's gigawatts or gigawatts. I can't get any of this right. But of new power generation capacity a year to keep pace with AI, as well as cloud computing, crypto, industrial demand, and electrification trends. And this is according to a consulting and technology firm, icf. That sounds big. I mean, is this doable one? And if we do it, how do we do is doable?
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But you know, they say the most dangerous words in investing are this time is different. When it comes to the US Power grid, the era we're entering is different than the one we've been in for the past, call it 20 years. So if you look from 2005 to 2020, energy consumption in the US grew just 0.1%, essentially flat. For the better part of two decades. There were increases in electricity demand that were offset by things like efficiency improvements, structural changes in the economy. You've heard folks talk about the US shifting from a manufacturing economy to a service economy. All that has reduced the load needed on the grid over the past 20 years. Here as we enter the decade of the 2000s, that is changing with the emergence of AI in 2020 data centers as a portion of the overall electricity demand for the US grid were less than 2%. Now, if you look at current estimates out there, expected by the end of the decade to be somewhere between 9 and 12% of overall electricity demand. So we've gone from a regime where we've kind of been treading water maintaining the current grid to now we've had new, new sources of load coming on from AI that we're scrambling to, to meet that demand. That's why you're seeing basically all hands on deck. Whether it's, you know, Google signing deals for hydropower, Microsoft signing deals for renewable, reactivating existing nuclear plants, and what we'll talk about later, increasingly moving towards new small modular reactors, all trying to address the needs that are coming to the grid from AI.
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