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Data centers require electricity.
And as we have talked about before, total electricity consumption by US data centers is forecasted to reach somewhere between 6.7 - 12% of total consumption by 2028 (figure from the US Department of Energy). Last year, Goldman Sachs also estimated that data center power demand would grow 160% by 2030.
I kind of wonder if these numbers might be understated — given our current AI bubble — but whatever the case may be, we're going to need a lot more electricity going forward. There's no such thing as a wealthy, low-energy nation.
Given all of this, I'm struggling to understand why the US would move to cancel what would have been the largest solar project in North America. Esmeralda 7, which was to be located on 62,300 acres of federal land to the north-west of Las Vegas, was expected to be a 6.2 gigawatt project — enough to power nearly 2 million homes.
Instead, the Department of the Interior seems to be determined to accelerate fossil fuel projects, and help China maintain its clear dominance in renewables. I guess that makes sense in some world if you think renewal energy projects are a "scam."
Cover photo by American Public Power Association on Unsplash
At the risk of sounding obvious, pricing is fundamental to the functioning of markets. It determines profitability, it allocates resources, and it influences customer behavior, among other things. Take the example of electricity pricing.
In Ontario, we use something called time-of-use (TOU) pricing. What that means is that electricity rates vary according to the time of the day and the time of the year. In the summer, the expensive peak usage period is the afternoon (because of air conditioning) and in the winter it's the morning and early evening (because of heating and lighting when people are generally not at work).
What this pricing strategy does is incentivize customers to change their consumption behaviours. Instead of doing laundry during a peak period, maybe you set a timer and have it run during a low-peak period. In other words, it helps to flatten the demand curve. This is valuable for utility providers because peak periods are more expensive to supply and they also create the risk of brownouts and blackouts. So you worry about peak demand.
With this in mind, let's now switch and talk about highway congestion. The parallels are almost identical, and yet, most highways are free to use, which means we do absolutely nothing to manage peak demand. Instead, we encourage the equivalent of brownouts where demand greatly exceeds supply, traffic crawls, and roads become practically unusable. Why is that? Why should highways be viewed any differently?
In the case of highways, there are even alternatives such as transit (thought not always, of course). But if you need electricity from a monopolistic utility provider, you're paying whatever rates they charge. As you might expect, the answer is not technical or economic. We know with 100% certainty that pricing congestion will reduce it. The reason we don't do it is political. Free roads are preferred to functioning roads.
Cover photo by Hooman R. on
One traditional metric for measuring the performance of a company is revenue per employee. And in a knowledge-based economy, this makes a lot of sense. Human capital is often the biggest expense. But as we enter the age of AI, this is now being called into question.
Data centers require electricity.
And as we have talked about before, total electricity consumption by US data centers is forecasted to reach somewhere between 6.7 - 12% of total consumption by 2028 (figure from the US Department of Energy). Last year, Goldman Sachs also estimated that data center power demand would grow 160% by 2030.
I kind of wonder if these numbers might be understated — given our current AI bubble — but whatever the case may be, we're going to need a lot more electricity going forward. There's no such thing as a wealthy, low-energy nation.
Given all of this, I'm struggling to understand why the US would move to cancel what would have been the largest solar project in North America. Esmeralda 7, which was to be located on 62,300 acres of federal land to the north-west of Las Vegas, was expected to be a 6.2 gigawatt project — enough to power nearly 2 million homes.
Instead, the Department of the Interior seems to be determined to accelerate fossil fuel projects, and help China maintain its clear dominance in renewables. I guess that makes sense in some world if you think renewal energy projects are a "scam."
Cover photo by American Public Power Association on Unsplash
At the risk of sounding obvious, pricing is fundamental to the functioning of markets. It determines profitability, it allocates resources, and it influences customer behavior, among other things. Take the example of electricity pricing.
In Ontario, we use something called time-of-use (TOU) pricing. What that means is that electricity rates vary according to the time of the day and the time of the year. In the summer, the expensive peak usage period is the afternoon (because of air conditioning) and in the winter it's the morning and early evening (because of heating and lighting when people are generally not at work).
What this pricing strategy does is incentivize customers to change their consumption behaviours. Instead of doing laundry during a peak period, maybe you set a timer and have it run during a low-peak period. In other words, it helps to flatten the demand curve. This is valuable for utility providers because peak periods are more expensive to supply and they also create the risk of brownouts and blackouts. So you worry about peak demand.
With this in mind, let's now switch and talk about highway congestion. The parallels are almost identical, and yet, most highways are free to use, which means we do absolutely nothing to manage peak demand. Instead, we encourage the equivalent of brownouts where demand greatly exceeds supply, traffic crawls, and roads become practically unusable. Why is that? Why should highways be viewed any differently?
In the case of highways, there are even alternatives such as transit (thought not always, of course). But if you need electricity from a monopolistic utility provider, you're paying whatever rates they charge. As you might expect, the answer is not technical or economic. We know with 100% certainty that pricing congestion will reduce it. The reason we don't do it is political. Free roads are preferred to functioning roads.
Cover photo by Hooman R. on
One traditional metric for measuring the performance of a company is revenue per employee. And in a knowledge-based economy, this makes a lot of sense. Human capital is often the biggest expense. But as we enter the age of AI, this is now being called into question.
Sara Menker has, for example, proposed a new metric: revenue per MWh. (See above comparing Meta, Alphabet, and Microsoft.) This is meant to reflect the fact that, as AI infrastructure scales, it is likely that operating costs in the future will be dominated by electricity consumption, rather than employee count.
Naturally, this should make you wonder about a few things, namely: How will we manage the inequality that might (or will) arise from the decoupling of revenues from employees? And how are we going to sustainability supply this rapidly growing need for more and more electricity?
Albert Wenger argues that the comparable metric for nations will be GDP per GWh. This means that, to win, you're going to want cheap electricity. And as I understand it, the cheapest sources are wind, solar, and hydropower. This bodes well for Canada given that we dominate in the latter.
Cover photo by Thomas Reaubourg on Unsplash
Sara Menker has, for example, proposed a new metric: revenue per MWh. (See above comparing Meta, Alphabet, and Microsoft.) This is meant to reflect the fact that, as AI infrastructure scales, it is likely that operating costs in the future will be dominated by electricity consumption, rather than employee count.
Naturally, this should make you wonder about a few things, namely: How will we manage the inequality that might (or will) arise from the decoupling of revenues from employees? And how are we going to sustainability supply this rapidly growing need for more and more electricity?
Albert Wenger argues that the comparable metric for nations will be GDP per GWh. This means that, to win, you're going to want cheap electricity. And as I understand it, the cheapest sources are wind, solar, and hydropower. This bodes well for Canada given that we dominate in the latter.
Cover photo by Thomas Reaubourg on Unsplash
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