America Remains Ahead of China Even When You Factor in Size and Cutting-Edge Tech
US Mega AI Centers~ 580 vs China~100 -150
In a recent commentary, I exposed a key fact in the U.S. vs. China AI race: the United States already operates more data centers than China. U.S. – 5,426 facilities compared to China’s – 449 , a 12:1 ratio. But raw total numbers do not tell the full story. In Part 2, I’ll break it down – using the size of data centers, advanced technology, and hardware – to show that the Trump narrative is wrong: America does not desperately need a massive new wave of data center construction to stay ahead of China.
At first glance the argument that China has focused on gigantic, cutting-edge AI supercomputing campuses, while many U.S. facilities are smaller or older sounds plausible. But the data doesn’t support the argument. When we break down data centers by scale, the United States still dominates across every category, with over 50% of global hyperscale capacity (typically 100 MW+ for frontier-model training) and a broader, more resilient network. Let’s look at the real numbers:
Mega-scale AI data centers over 100 megawatts:
The U.S. runs about 580 huge powerhouses over 100 megawatts that train the smartest AI models. These facilities have a whopping 53.7 gigawatts of total power, grabbing 51-54% of the world’s share. That’s roughly four times more sites than China’s 100-150 facilities and twice the raw power at 31.9 gigawatts (just 16-26% globally) This spread-out U.S. network makes AI training much more reliable, because if one center goes down or loses power, the work instantly shifts to others and nothing crashes.[1] [2]
Medium-Scale Data Centers 10-100 megawatts:
For general AI and cloud work the U.S. leads with over 1,000 facilities as part of its massive hyperscale network, packing more than 20 gigawatts. That is about five times the number of sites and way more power than China’s 200-300 setups with around 7 gigawatts.
This means American AI companies have many backup data centers ready to take over instantly if one gets overloaded or goes offline, so their services almost never slow down or crash. China has far fewer of these backup options, so when one of their big centers has a problem, a lot of AI work can get delayed or stuck. [3] [4]
Small and edge data centers under 10 megawatts:
For fast, local AI (like the smart features in your phone, maps, or voice assistants), the U.S. has more than 3,500 small “neighborhood” data centers spread across the country, delivering at least 5 gigawatts of power in total.
China has only about 100–200 of these small local centers with very little power between them, because almost all of its 449 data centers are huge centralized facilities far from most users. [5]
But what about China’s Advanced Technology and Hardware?
China just shocked everyone with DeepSeek an AI that’s almost as smart as ChatGPT or Claude, but they built it using way less computer power and spending only a few million dollars instead of billions. That’s impressive, and it shows they’re getting really clever at squeezing more performance out of weaker chips.
They’re also trying to switch to “light-based” computers (called photonics) inside data centers because light uses much less electricity and moves data way faster than regular wires.
Here’s the good news for us: American companies are already doing the exact same things – and on a bigger scale. U.S. startups like Ayar Labs and Lightmatter are shipping light-based chips in 2025 that cut power use in half and make AI run faster. Big players like NVIDIA, Google, and AWS are already putting these light-based parts into their newest AI supercomputers.[6]
So yes, China pulled off a clever trick with DeepSeek and is pushing light-based tech hard. But the U.S. isn’t behind . We’re already building and installing the same (and often better) stuff, and we have way more giant data centers to run it all in.
Regardless of our lead, that Trump says we don’t have, we must oppose building new mega AI data centers no matter how “advanced” or “efficient” they become (whether powered by companies like DeepSeek or a hardware switch to photonic chips) because of their Orwellian capacity to monitor, track and commodify our every move. These facilities, whether massive hyperscale complexes or smaller operations using the latest technology, represent an unprecedented threat to privacy and freedom.
Donald Trump promised to drain the swamp. Instead, he’s flooded it with technocrat takeover by selling America to Musk, Thiel and their billionaire cronies for an AI arms race we don’t need and can’t afford.