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Gold is repricing trust.
Below is the updated debt-to-gold ratio.
For 100+ years it climbed almost in one direction as fiat replaced discipline.
As @LynAldenContact has shown, gold couldn’t keep up with the telegraph — money had to move faster than metal.
As @saifedean explains, WWI accelerated the break from sound money and ushered in the debt-laden fiat century.
The ratio just turned — but not because debt fell.
America's closest allies cut their net purchases of US Treasuries by more than 60% in the first eight months of 2026.
How much longer can the US count on the borrowing advantage that comes with issuing the world's reserve currency?
I revisited my conversation with @LynAldenContact and examined five indicators of the dollar's resilience and the pressures building against it.
My full analysis, including the latest data on foreign Treasury holdings, reserve diversification, gold purchases, and US debt costs:
exploringprosperity.com/p/al…
Students are making six-figure college decisions with remarkably little individual guidance.
Meanwhile, AI is making the careers they're preparing for less predictable.
Could AI itself help students navigate those choices?
My latest essay explores that possibility, and an entrepreneur who's trying to make it happen.
🤖 Made with AI
My essay on Jon Carson, his company, and why he built an AI that won't write a student's college essay:
open.substack.com/pub/robert…
Bob Dewey retweeted
I've built a website I always wished existed: a collection of all the books written about Bitcoin.
I've found 110 of them. If I've missed any, let me know in the replies.
btcbooks.org
1,010 studies of AI’s impact on jobs in just nine months.
That’s what former BLS Commissioner Erica Groshen told me in our recent interview. The results? “Different results all over the place.”
I’ve been collecting research and real-world evidence on how AI is changing productivity and employment.
Today I’m launching AI at Work | The Evidence, a series every two weeks examining what the research shows, where findings conflict, and what we still don’t know.
The first installment is below. 👇
What does the accumulated evidence suggest?
AI's productivity gains on specific tasks are well documented. Its effects on employment are much less certain.
Hiring may slow before layoffs rise. Some firms may expand as AI lowers costs, even as opportunities shrink elsewhere.
The emerging picture is not simply jobs gained versus jobs lost. It's a changing mix of opportunities, with potentially very different outcomes across workers and industries.
The open question:
What changes is AI already producing that our official labor statistics aren't measuring?
As Erica Groshen explained, our statistical systems aren't keeping pace with changes in how people work.
That's why I'll be looking across academic research, company data and real-world evidence for economically meaningful changes that conventional statistics may miss.
The goal: understand what's actually happening, not wait for it to show up in the official numbers.
Bob Dewey retweeted
I love Math because it’s logical but English tutors get paid big bucks for a reason 😉🤣
Bob Dewey retweeted
We believe the bottom is in, selling pressure has diminished, the debasement case has strengthened, and the crowd has left
AI may make investment analysis abundant while making good investment judgment more valuable.
For decades, exceptional investors gained an advantage by gathering information, analyzing companies, and identifying patterns better than competitors.
AI is rapidly reducing the cost of those activities.
But deciding what an uncertain future is worth requires judgment, not just information processing.
My hypothesis: AI will erode some traditional sources of investment alpha while increasing the relative value of the judgment that remains difficult to automate.













