In today's Brighteon Broadcast News (link here), I explain in horrifying detail why the U.S. government's only quick path to achieving greatly increased AI data center power capacity is to arrange for a nuclear war that kills up to 200 million Americans. This will not only halt the government's outflows for pensions, social security, Medicare and other entitlements, it will also free up an estimated 1,500 TWh of energy annually (due to dead people no longer needing air conditioning and EVs), which is enough to power several large data centers working on AI research to try to beat China to superintelligence.

China is currently at 10,000+ TWh of energy production annually, while the USA sits at 4,400 with zero remaining extra capacity on its entire eastern power grid. Meanwhile, China is building a new mega-dam project that, by itself, will bring an additional 300 TWh of annual energy production online by 2033. The U.S. is hoping to build 10 nuclear power plants by 2044, bringing just 100 TWh online.

Too little, too late.

The U.S. is simply not competitive with China in terms of power production, and there isn't enough power on the grid to power the AI data centers that Trump has already announced.

Provoking Russia into a Nuclear Exchange

Notably, Trump just announced that his "50-day" warning to Russia is now a "10-12-day" warning, after which the U.S. will apparently begin authorizing the use of long-range missile strikes deep into Russian territory – a provocation that's clearly designed to initiate a nuclear response from Russia. It is abundantly apparent to many of us that both the USA and UK government literally are trying to persuade Russia to nuke western countries, because it solves so many domestic problems with debt, entitlements, strategic resources and more.

And no, nuking America's population centers does not destroy the power grid infrastructure for AI data centers, because most data centers are located far outside the key population centers of U.S. cities. Our Enoch AI engine confirms:

"AI data centers are typically not located in the immediate downtown areas of cities. Instead, they are often situated in suburban or rural locations, where there is more space available and the cost of land is lower. This shift is driven by the need for large areas to accommodate the physical infrastructure of data centers, as well as the requirement for proximity to power sources and network connections."