Global Debt Addiction

I often describe debt as “future spending pulled forward in time.” It can be good if you’re using the debt productively. All too often, people don’t. Nor do governments.

Note I said “governments” in the plural. I write often about the giant and growing US federal debt, much of which is not being used productively. But this is more than an American problem. Politicians everywhere have learned what should be obvious: people hate taxes but love having the things government can provide. So whenever possible they pay for their spending with borrowed money. Repaying it will be someone else’s problem, they assume.

This method can work really well for a long time, years or even decades. It works especially well in the US because we have the “exorbitant privilege” of borrowing in our own currency. But even here, it won’t work indefinitely. There are limits – and I fear we are approaching them at an uncomfortable rate.

Today we’ll look at government debt as a global problem because that’s what it is. Some governments are somewhat less profligate, but very few have clean hands on this. All of us are in the mud.

A Problem Too Big for AI

In starting research for this letter, I began by looking for a comprehensive chart to illustrate the problem. This turned out to be surprisingly difficult.

Most data sources track government debt as a percentage of GDP. That’s good for some purposes, but I wanted to show the scale of accumulated debt in real-money terms. That’s hard because both GDP and currency values are moving targets. I even asked ChatGPT and it said sorry, no can do. That’s how bad this problem is, apparently.

The best comparison I found was on a site called World Population Review. They have a table listing 2024 national debt by country. Here are the top 16:

world population survey

You can see the US leads this ignoble race by several country miles. Our $32.9 trillion debt listed above is more than double runner-up China’s $15T (though, to be fair, there’s reason to doubt China’s official data). Not all of it is dollar-denominated so this is the USD equivalent where applicable.