Why the AI Data Center Boom Is Going Horribly Wrong

[00:00:00] Speaker 1: AI data centers are making everything more expensive, and the data proves it. In 2025, this MacBook Pro cost $1,600. Less than a year later, the same laptop cost $2,000, a $400 increase in just a few months. And it's not just computers. Smart refrigerators, cars, smartphones, video game consoles, televisions, and almost any electronic device you can imagine have become more expensive. And all of these price increases point in the same direction. The massive construction of data centers. The thing is, this isn't just affecting electronic devices. [00:00:37] Speaker 2: Well, if your electric bill has gone up lately, you are not alone. And it may not just be the summer heat that's causing things to rise. Artificial intelligence data centers or physical buildings or facilities that house computer systems are predicted to drive demand to record highs in the coming years. [00:00:54] Speaker 1: The rising cost of essential utilities is also hitting the average American. And the data published in 2026 shows just how serious the problem has become. According to Consumer Reports, between March 2025 and March 2026, electricity costs increased by an average of 10.2% across the United States. [00:01:13] Speaker 3: Residents in those states have seen their electricity bills go up substantially this year. [00:01:17] Speaker 1: And the reason is that these types of data centers consume enormous amounts of energy. A single data center can consume up to 100 megawatts of power. Equivalent to the electricity consumption of 80,000 homes. And what about water bills? They've gone up too, by an average of 5.1% nationwide. [00:01:36] Speaker 4: People in one metro city are wondering if their money is going down the drain. Some water bills are doubling, tripling, or going up even more. [00:01:44] Speaker 1: The thing is, the Fed has already started to take notice. [00:01:48] Speaker 5: The Federal Reserve today raised interest rates for the first time in three years, a sign of concern about rising prices. [00:01:53] Speaker 1: According to data from the Federal Reserve itself, AI-driven demand is now one of the inflation risks it is watching most closely. And this makes the situation even worse. Because when borrowing money becomes more expensive, AI companies won't be the only ones feeling the consequences. Food, housing, pharmaceutical, and transportation companies will feel them too. [00:02:14] Speaker 6: For agricultural-based economies, and that's not just here in Iowa or in the Carolinas where that farmer was. But it is the foundation for much of this country, and they are being walloped. [00:02:30] Speaker 1: This is pushing the problem beyond the technology sector and spreading it across every industry. But if AI promised to be so cheap and efficient, how are its data centers now making everything more expensive? One of the best tools we use when conducting research is Ground News. Ground News is a platform that brings together thousands of news sources in one place, making it easier to see how different outlets cover the same story. It allows you to compare headlines, see how many outlets are covering a story, and understand how different media portray the same events across the political spectrum. For example, one of the stories we relied on was about the roughly $10 trillion AI buildout beginning to show cracks. Using Ground News' bias ratings, we found that 46% of the outlets covering the story leaned right, 36% leaned left, and 18% were centrist, showing a clear concentration of right-leaning coverage. We can also see who owns each media outlet, giving us more context about the sources behind the reporting, and the way a story is framed matters too. Left-leaning outlets described the AI expansion as coming apart or cracking, emphasizing its structural weaknesses and rising financing costs. Right-leaning outlets also described it as a stumble with limits, but focused more on debt financing, power shortages, investor returns, semiconductor demand, and opposition from local residents. Ground News makes it easy to compare these different perspectives in one place, helping us understand the bigger picture instead of relying on a single source. Go to ground.news forward slash econo, or scan the QR code on screen to get unlimited access to the Ground News Vantage plan at 40% off. Although data centers have existed for decades, it wasn't until the AI boom of 2022 that they began expanding on an unprecedented scale. And AI adoption was massive. Every company and individual wanted to be part of what seemed to be the technological revolution of the century. But all this demand began running into a limit. Because no matter how much AI operated in the cloud, it still needed physical infrastructure to process such enormous amounts of information. And tech companies began to realize this was a problem. [00:04:39] Speaker 5: The demand for artificial intelligence has sparked a boom in the construction of data centers all over the country. [00:04:45] Speaker 1: In 2023, a data center construction boom began. From Illinois... [00:04:49] Speaker 7: The data centers keep showing up in the Midwest. Illinois already has a bunch and we're getting more. ...to Texas. [00:04:55] Speaker 2: Texas is on track to become the top data center market in the country. [00:05:00] Speaker 1: Construction of these facilities literally began spreading across the entire country, as companies wanted to win the AI race at any cost. But there was a problem. Although this construction boom began creating many new jobs, these data centers required enormous amounts of energy to operate. And nearby residents began to notice. [00:05:21] Speaker 8: I'm walking around in a ski suit, trying to stay warm in the winter. [00:05:26] Speaker 2: It's just one of the ways Kane has tried to beat her skyrocketing electric bills. [00:05:30] Speaker 1: Due to the extraordinary amounts of energy these data centers began demanding, Americans' electricity bills have continued to rise. And the data makes this clear. Consumer Reports estimated that between 2025 and 2026, residential electricity prices in the United States increased by an average of 10.2%. Those living near these data centers have been among the hardest hit. An analysis by Bloomberg found that electricity prices at some grid locations near large concentrations of data centers had increased by as much as 267% over five years. And the construction of this infrastructure shows no signs of slowing down. In places like Illinois, California, and Virginia, data center concentrations have become some of the highest in the world. Coincidentally, these states have also experienced some of the largest increases in energy costs in the entire country. [00:06:26] Speaker 3: Illinois, Virginia, Ohio, Texas, and California have the highest concentration of data centers in the U.S. Residents in those states have seen their electricity bills go up substantially this year. [00:06:36] Speaker 1: But there's the problem. Data centers need more than just energy to operate. They also require large quantities of electronic components, such as CPUs, GPUs, and power supplies. But above all, they need one component that has captured everyone's attention in recent months. RAM memory chips. The AI boom is pushing the world's digital memory to its limits. [00:07:00] Speaker 8: Artificial intelligence data centers and cloud computing is shrinking the supply of memory chips. [00:07:06] Speaker 1: Although the common narrative is that these data centers are taking all the RAM available on the market, the reality is not that simple. To understand why, we need to know that there are three different types of memory. NAND, DRAM, and HBM. NAND memory is used primarily in storage devices such as SSDs and USB drives to store information over the long term. DRAM temporarily stores information and is used by our electronic devices, including computers, smartphones, and video game consoles. HBM is like DRAM on steroids, allowing enormous amounts of data to be transferred in milliseconds. It is the type of memory used in data centers. The thing is, producing HBM memory is far more profitable for memory manufacturers. As a result, they have shifted production away from NAND and DRAM, creating a shortage in the market. And when demand exceeds supply, prices begin to rise. And we're seeing it every day. [00:08:06] Speaker 9: The prices of laptops, phones, and even fridges are skyrocketing in what's being called Ramageddon. [00:08:12] Speaker 1: Apple, Samsung, Lenovo, HP, Sony, and virtually every other electronics brand you can imagine have raised the prices of their products, all citing the memory shortage as the reason. And, as expected, companies aren't willing to absorb these additional costs indefinitely, so they're beginning to pass them on to consumers. [00:08:32] Speaker 10: With memory prices up 4x in three quarters, the company is not planning to fully absorb the surge in memory and storage costs and will pass at least some of that on to consumers. [00:08:42] Speaker 1: And the first effects are already visible. In June 2026, Apple raised prices across its product lineup. Even the iPhone, its flagship product, saw a $100 price increase for the base models of the iPhone 18 Pro and Pro Max, with prices rising by as much as $500 for the 2TB versions compared with the previous models. [00:09:04] Speaker 7: Mac price increases, iPad, Apple TV, HomePod, HomePod Mini, Vision Pro. We're talking about very significant changes here to the starting prices. [00:09:15] Speaker 1: But Apple isn't the only one. In August, Amazon raised the prices of some of its devices by as much as 60%. One of the most notable examples was the Echo Dot. Even video game consoles have been affected. Xbox announced that it would raise console prices by as much as $150 and warned that memory prices would continue to rise through the end of 2027. [00:09:38] Speaker 11: Xbox announced it would raise the price of its 512GB Series S gaming console from $400 to $500 and the 1TB version from $450 to $600. [00:09:51] Speaker 1: In other words, part of the cost of expanding artificial intelligence is ultimately being passed on to consumers. And the inflation caused by these price increases hasn't gone unnoticed. The Federal Reserve has already turned its attention to the issue. [00:10:06] Speaker 12: The Federal Reserve raising interest rates for the first time in three years. A quarter-point interest rate hike from the Federal Reserve that's just in here now. [00:10:16] Speaker 1: New York Fed President John Williams said that AI-driven demand is now one of the inflation risks he is watching most closely. And that if it continues to push demand ahead of supply, the central bank may have to respond by raising interest rates again. The problem is that higher interest rates don't just affect large companies investing billions of dollars in AI. They also affect every small business owner in the country. From farmers who take out loans to finance their operations. [00:10:44] Speaker 7: I hope that those people who support the data centers can eat computer chips because where are they going to get their food from? [00:10:49] Speaker 1: To small business owners who need financing to keep their businesses running. [00:10:54] Speaker 5: The latest rate hike could actually hit Main Street as well as Wall Street because for Chicago area small businesses, higher borrowing costs could actually make loans and credit lines more expensive, potentially slowing hiring and expansion and investment. [00:11:10] Speaker 1: All of this makes the cost of living more expensive for Americans. According to the U.S. Department of Agriculture, food prices are expected to increase by 2.9% in 2026 alone. And it's not just food. Mortgages, medications, and hundreds of essential products that families rely on are also being affected by rising prices. Combined with widespread increases in the cost of essential utilities such as water and electricity, these price hikes are making the cost of living increasingly expensive. And if this continues, Americans may eventually begin to wonder whether this entire AI technological revolution is worth the price of an increasingly expensive life.