Monthly Archives: July 2024

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Amazon claims to power all its operations with renewable energy. Yes, and I’m the Queen of Sheba.

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Greenpeace protesters at the site of Amazon’s HQ2 in Arlington, Virginia, in 2019 called out the company for failing to make progress towards its commitment to power the cloud with renewable energy. Since then, the company has actually increased its carbon emissions. Photo courtesy of Greenpeace.

When Amazon announced this month that it had achieved 100% renewable energy seven years ahead of schedule, that sounded like really good news for Virginia. Amazon owns more data centers here than anyone else, and data center energy demand is driving Dominion Energy Virginia’s plan to renege on its climate commitments, keep dirty coal plants online and build expensive new gas plants and transmission lines.  

Unfortunately, Amazon’s announcement is so full of asterisks it looks like a starry night. 

Let’s start with the good news. Amazon’s claim that it has purchased enough renewable energy to “match” its energy use is likely true, though its sustainability report doesn’t reveal essential details like how much energy the company uses. Amazon also says it is the largest corporate purchaser of renewable energy in the world, an impressive achievement. 

Some of that renewable energy is in Virginia, so it is reasonable to say it serves the company’s data centers here. A map on Amazon’s website shows the company has invested in 19 solar farms in Virginia, with a capacity that totals around 1,386 MW  – about a quarter of all solar installed in Virginiato date. That’s terrific. If every company operating in Virginia did as much, we’d be rolling in solar, figuratively speaking. 

So what am I complaining about? 

One problem is that the energy appetite of Amazon’s data centers in Virginia far outstrips the output of all of its solar farms here. The other problem is that producing renewable energy in the middle of the day can only very loosely be said to “match” energy used at other times of the day and night. Meeting energy demand on a 24/7 basis is harder, and Amazon isn’t even trying. 

Let’s start with the numbers. Because the sun doesn’t shine all the time, a large solar array produces, on average, 22-25% of what it produces on a cloudless day at noon. (That percentage is known as the facility’s capacity factor.) At a 25% capacity factor, Amazon’s 1,386 MW worth of solar panels produce enough electricity to “match” about 347 MW of demand. 

Amazon keeps its energy demand in Virginia a secret, but we can be pretty sure its 110 data centers here use way more than that. A 2019 Greenpeace report estimated Amazon’s Virginia data center demand at 1,700 MW in operation or under construction, an amount that would call for 6,800 MW of solar. Amazon rejected Greenpeace’s estimate at the time, but it didn’t supply a better one. More recent estimates suggest Amazon’s energy appetite in Virginia is on its way to 2,700 MW, enough to require the output of around 11,000 MW of solar. 

Luckily for us, Virginia is part of PJM, a regional transmission grid that covers all or parts of 13 states plus Washington, D.C. Generation sources located anywhere in the region can serve a Virginia customer, and Amazon’s map shows it has utility solar and wind projects in several PJM states. By my count, these add up to as much as 4,000 MW of additional renewable energy that could be allocated to Virginia data centers, if Amazon had no other operations in those states that it wanted to power. (Which, however, it does.) 

Adding together its solar in Virginia and elsewhere in PJM still leaves Amazon short of what it likely needs. So, if the company is correct that it has secured enough renewable energy to match all of its demand, a lot of those facilities must be in other regions or other countries. Yet the climate benefit of Amazon’s solar farms in (for example) Spain, which gets more than 50% of its electricity from renewable energy, is significantly less than the climate benefit of solar in PJM, where the percentage of wind and solar combined still hangs in the single digits. 

I will – almost – give Amazon a pass on this point. PJM has been so appallingly slow to approve new generation that Amazon could well have as many projects in the “queue” as online. PJM claims it will catch up in the next year and a half, and when that happens, perhaps Amazon won’t feel the need to obfuscate.

Even if Amazon were “matching” all its energy needs with wind and solar in PJM, though, it’s the second problem that troubles me more. Building solar and wind is cheap; Amazon very likely makes a profit on it. Actually ensuring renewable energy provides all the juice for the company’s operations every hour of every day, on the other hand, would require a heck of a lot of expensive energy storage. And Amazon is not doing that.

Without energy storage, solar delivers electricity only while the sun is shining. The rest of the time, Amazon’s data centers run on whatever resource mix the local utility uses. In both Virginia and PJM’s territory, fossil fuels make up the great majority of the mix. Building more Amazon data centers in Virginia increases the burning of fossil fuels, causing more pollution and raising costs that are borne by the rest of us. 

The self-styled climate hero turns out to be a climate parasite, harming people to make itself look good.

Combining renewable energy with storage to achieve true carbon neutrality isn’t prohibitively expensive. Other leading tech companies seem to be making that extra effort, with Google notable for its commitment to meeting its energy demand with renewable energy and storage on a 24/7 basis.

Amazon’s failure to rise to this challenge explains why, in spite of its massive investments in wind and solar, the company’s carbon footprint actually rose by 34% since the launch of its Climate Pledge in 2019, when it set a target of net zero carbon emissions by 2040. 

That explains why, a year ago, the Science Based Targets initiative, a U.N.-backed organization that monitors corporate net-zero plans, removed Amazon from a list of companies taking action on climate goals. According to press reports, Amazon failed “to implement its commitment to set a credible target for reducing carbon emissions.”  

Among those least impressed with the company’s efforts are its own workers. Last year, Amazon Employees for Climate Justice accused the company of failing in its climate commitments, and the group released its own report this month alleging multiple climate failures, including using “creative accounting” to inflate its achievements.

If Virginia is serious about meeting the climate challenge, we can’t blindly accept rosy claims from corporations whose central goal is not sustainability, but growth. Data centers whose energy demand isn’t met on a 24/7 basis from zero-carbon sources located on the same grid are not part of the climate solution, they are part of the problem. And currently, Amazon’s data centers are making the problem worse.

This article was first published in the Virginia Mercury on July 24, 2024.

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AI could usher in a golden age of technological breakthroughs – if it doesn’t kill us first

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Data center between housing community and a bike path
A data center in Ashburn, Virginia. Photo by Hugh Kenny, Piedmont Environmental Council.

Somehow, we were not prepared for this. Artificial intelligence was in development for decades, during which time we fantasized about all the wonderful things it was going to do for us. And then the bots launched almost fully formed like Athena springing from the forehead of Zeus with her sword in hand, and only then did we have our epiphany: Oh man, this is not going to go well.

What happened to the AI utopia? We were expecting self-driving cars that would let us drink too much on nights out while eliminating highway fatalities. We anticipated the seamless integration of all our devices and appliances, maybe even without cords! We imagined an unlocking of efficiencies at home and at work; medical breakthroughs; scientific innovation on steroids. We’d have three-day workweeks and go hiking on the weekends while the robots cooked and cleaned. 

Maybe these things are still there in our future, along with world peace, but so far what we’ve got is a new way for kids to cheat on homework, a lot of derivative art, pernicious deepfakes and raging arguments over intellectual property theft. Oh, and an unprecedented increase in the demand for electricity that threatens to overwhelm the grid and make it impossible for us to stop burning fossil fuels before global warming destabilizes societies worldwide. 

The wonder is why we thought this would go well. Shouldn’t we have known ourselves better?

In my view, the biggest problem with AI is that either humans are in charge, or the robots are. If it’s the robots, there is a good chance they will decide to kill us all, and we won’t see it coming. So we need to root for the humans, who could use the powerful new tools of AI to address hunger and climate change but so far mostly use it for financial fraud, child pornography and adding to the absurd percentage of the internet devoted to cat memes. 

And instead of helping to lower CO2 emissions, right now the effect of AI is to increase the burning of fossil fuels. U.S. electricity consumption had flatlined after the mid-2000s, but AI is pushing it up again, and sharply. Data centers, where AI “lives,” could consume as much as 9% of U.S. electricity generation by 2030, double that of today. 

We have a close-up view of this in Virginia, the data center capital of the world. In 2022, when I first tried to quantify Virginia’s data center problem, industry sources put the state’s data center demand at 1,688 megawatts (MW) — equivalent to about 1.6 million homes. With the advent of AI and its enormous appetite for power, the industry added 4,000 MW of new data centers in 2023. By the end of last year, data centers commanded fully 24%of the total electricity generated by Dominion Energy Virginia, the state’s largest utility. Over the next 15 years, Virginia’s data center demand is expected to quadruple.  

Citing the need to supply data centers with power, Dominion did an about-face on its plan to achieve net zero carbon emissions by 2050. It now proposes to keep coal plants running past their previous retirement dates, and to build new gas-powered generation. 

The problem is not confined to Virginia. Across the country, utilities are struggling to meet AI’s increased energy demand, and looking to fossil fuels to fill the gap. 

And while tech companies talk a good game about meeting their power demand sustainably, the evidence says otherwise. Tech companies conspicuously did not push back on Dominion Energy’s plan, and their own efforts fall woefully short. Even Google, which has taken its carbon-cutting obligations more seriously than most companies, just reported a 13% rise in its greenhouse gas emissions in 2023, thanks to its investments in AI and data centers.   

Apparently, Google and its competitors in the race to dominate AI think meeting climate goals is like getting a loan from a bank; you emit more today, grow your business and use the profits to clear the debt by emitting a lot less tomorrow. 

But Mother Earth is not a bank. She is a loan shark, and she has started breaking fingers.

If we can’t rely on the inventors of AI to restrain their energy appetites, we have to turn to our politicians (sigh). Our leaders have to make and enforce limits on the growth of AI commensurate with the world’s ability to provide the resources without baking the planet. Admittedly, mustering that kind of willpower is hard to do in a country that has elevated corporations to personhood and defines the First Amendment to include both spreading lies and spending money to influence elections. 

And that gets us to the second-biggest concern I have about AI, but the one that might upend society soonest: the unleashing of deepfakes in this fall’s elections, and the threat that the reins of government will go not to those most dedicated to tackling hard problems, but to those who prove themselves the biggest scoundrels.

The American Bar Association (ABA) defines deepfakes as “hoax images, sounds and videos that convincingly depict people saying or doing things that they did not actually say or do.” Noting that they have already been used in election campaigns in the U.S. and abroad, the ABA is promoting model state legislation to criminalize the creation of malicious deepfakes. Meanwhile, tech companies including Google and Meta have adopted advertising policies to require disclosures of altered content. 

Both approaches are good as far as they go; websites should police content, and states should act swiftly to outlaw the deepfakes (though the ABA lists very few that have done so yet). But in a high-stakes situation like an election, punishing violators after the fact – if you can catch them at all – is very much a case of closing the barn door after the horses are out. Once voters have been exposed to “evidence” of a candidate’s unfitness for office, especially when media coverage has primed them to believe the lies, the damage is done. 

Many voters, especially younger ones, are savvy enough to be wary of campaign-related materials generally, and of unattributed images that float around the internet in particular. But older people who came of age in the pre-internet-memes era are vulnerable to believing what they see and hear, and a lot of us won’t put ourselves to the trouble of questioning what feels true. A deepfake only has to fool some of the people some of the time to alter the results of an election. 

But maybe I’m being needlessly alarmist about the dangers of AI, even if I have a lot of company. So I did the obvious thing: I asked a bot if AI would save humanity or kill us all. 

ChatGPT responded with a list of pros and cons of AI, including the familiar benefits and concerns that have spawned a thousand op-eds. You can try this at home, so I won’t reiterate them here. But I will note the curious fact that the bot didn’t mention either carbon emissions or election-altering deepfakes.

Maybe that’s an oversight, or maybe it means my fears are unwarranted. But maybe it shows something even scarier than AI itself: It’s AI pretending it isn’t trying to take over.  

We urgently need action from U.S. and corporate leaders. Stiff new taxes on data center energy use would lead to greater efficiencies and nudge companies to price data storage and AI use appropriately. New laws should put the onus on internet platforms to stop deepfakes before they can spread. Tech companies should prioritize what is good for human beings over what is good for corporate profit. If they can’t ensure AI is used only for good, they should pull the plug until they can.

If all this doesn’t happen, and soon – well, let’s just hope the robots are kind.

This article first appeared in the Virginia Mercury on July 11, 2024.

If you’d like to hear a deeper discussion about the climate challenge posed by data centers and AI, I’ll be addressing this topic tonight at a meeting of the IEEE Society on Social Implications of Technology (SSIT) Chapter of Northern Virginia/Washington/Baltimore in Oakton, Virginia, which you can also attend remotely. The presentation will be recorded.. https://events.vtools.ieee.org/m/424609