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Hong Kong is launching a centralized gold clearing system in July. Most people will scroll past that headline.

They probably shouldn't.

For 50 years, one loop has run the global economy. Countries sell oil. They get paid in dollars. Those dollars get loaned back to the US government as Treasury bonds. The US gets cheap borrowing. Everyone stays in the system. Repeat.

That loop is changing.

Swiss customs data shows $4.96 billion in gold shipped from Switzerland to Saudi Arabia in 2024 alone. Switzerland is where the world's gold gets refined — almost all of it. When that much gold moves to Saudi Arabia, oil money is buying gold instead of US bonds.

China built the plumbing for exactly this. It has official currency offices inside every major gold trading city on earth — London, Dubai, Singapore, Hong Kong. Sell goods to China, get paid in yuan, walk next door, buy gold. The Federal Reserve has counted 31 of these offices across 27 countries. They did not end up inside gold hubs by accident.

In 2024, 64 trillion yuan crossed borders in trade. That yuan has to go somewhere. A lot of it is going into gold.

The dollar ran the world by recycling debt. China may be running its system by recycling gold.

And in July, Hong Kong opens the clearing house that makes that system faster, cheaper, and harder to reverse.

For 50 years, that recycling loop kept US borrowing costs low across every sector — energy, real estate, manufacturing, infrastructure. If the countries selling us energy are saving in gold instead of dollars, that changes the cost of capital everywhere. Not just in one industry.

Everywhere.

What if the system that kept borrowing costs low for 50 years is already being replaced — and most of us just haven't updated our assumptions yet?




https://www.bloomberg.com/news/articles/2026-05-20/hong-kong-targets-july-launch-for-new-gold-clearing-system?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc3OTg5Mjk4OSwiZXhwIjoxNzgwNDk3Nzg5LCJhcnRpY2xlSWQiOiJURjdSQzdLR1pBS0cwMCIsImJjb25uZWN0SWQiOiI0NUFGNzhEOUJBRkU0MUZDQUVFRjFFOTc5RTMzQjI3MyJ9.WpEXG8BKjPfefQITZFtMqzXUfdNGN-M2x1hZn5XnRgo

Hong Kong Targets July Launch for New Gold-Clearing System Hong Kong plans to launch a new gold-clearing system by July, advancing the city’s ambitions to become a global hub for bullion trading.

The people I talk to aren't worried about being replaced by AI.

They're worried about what happens to the people below them.

AI is erasing about 16,000 net U.S. jobs per month right now. The math: roughly 25,000 jobs substituted out, about 9,000 new ones created through augmentation. The net loss falls almost entirely on entry-level workers, Gen Z especially, concentrated in the routine white-collar roles that AI handles best.

There's a counter-argument worth taking seriously. Apollo Global's chief economist Torsten Slok calls it the Jevons Effect. When steam engines made coal more efficient, Britain burned more coal, not less. His case: as AI lowers the cost of professional work, demand for that work expands. More clients, more volume, more jobs overall.

Maybe. But ATMs didn't grow the bank teller workforce. Accounting software didn't protect bookkeeping jobs. It just redistributed the gains to a smaller number of senior CPAs.

The pattern holds across industries. AI doesn't flatten hierarchies. It sharpens them. The people with hard-earned judgment keep their seat. The people still building that judgment lose the jobs that used to help them build it.

That's the part no productivity report accounts for.

AI is cutting 16,000 U.S. jobs a month — and Gen Z is taking the brunt, Goldman Sachs says | Fortune New research finds younger, entry-level workers bearing the brunt of AI’s labor market disruption—even as the technology creates jobs elsewhere.

While Texans were asked to take shorter showers, the state's data centers quietly gulped 49 billion gallons of water in 2025. That's not a typo.

A study by the Houston Advanced Research Center — highlighted by the Lincoln Institute of Land Policy — found that Texas data centers consumed ~49 billion gallons of water last year. By 2030, that number could balloon to 399 billion gallons — roughly 7% of the entire state's water supply.

These facilities run 24/7, using evaporative cooling systems that can burn through millions of gallons per day at a single site. Meanwhile, San Antonio residents were watching their drought monitors. Communities across the state were being told to conserve.

The AI boom is real. The infrastructure demands are real. But so are the resource trade-offs — and right now, those costs are landing disproportionately on the public while the conversation stays focused on compute power and stock prices.

Water isn't unlimited. And it's not a tech company's to burn through without scrutiny.

What's your take — should data centers face water use reporting requirements? 👇

https://smartwatermagazine.com/news/smart-water-magazine/texas-data-center-boom-may-slash-billions-gallons-state-water-supplies

Texas data center boom may slash billions of gallons from state water supplies by 2030 A new report from the Houston Advanced Research Center examines how the rapid growth of data centers could affect Texas’s water supply.