I Missed It Again

Today is June 3rd, 2026.

As of yesterday, I have been sober for 14 years now.

Longer than at any point in my life.

They say you are not a true alcoholic if you can’t remember your last drink.

God is good.

I also remembered that as of early March of this year, I have been blogging for 20 years.

That is a geolgic age in blogging. Literally millions of Blogs have come and gone in that time.

And THAT, is thanks to you guys for chipping in and helping me pay the outrageous hosting fees. Because of you I don’t have to worry about posts getting deleted by freaking GOOGLE because God Forbid, we might say something they don’t like or an occasional nipple might peek out from the page.

Dirty Bastards anyway.

Don’t ever think that I will ever forget your extreme generousity.

So take a bow yourselves and Thank You again from the bottom of my heart.

AI will be the downfall of us.

Vox Popoli, https://www.voxday.net./

The AI Layoff Trap

Neither this paper nor the underlying idea are particularly new, but since non-economists are now starting to discuss it, I should probably take a look at it:

Two economists just published a mathematical proof that AI will destroy the economy.

Not might. Not could. Will — if nothing changes.

The paper is called “The AI Layoff Trap.” Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.The conclusion is one sentence.

“At the limit, firms automate their way to boundless productivity and zero demand.”

An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.

Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.

The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.

No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block’s workforce and said publicly: “Within the next year, the majority of companies will reach the same conclusion.” Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.

I don’t have an opinion yet, since I haven’t read the paper, but I expect that I will find two things:

  1. Overrating the productivity of AI. I’m already using older AI models because they work better than the newer ones.
  2. An erroneous demand model.

But that may not be the case. Regardless, I will read it, Red Team it, and share my conclusions when they are ready.

Posted on by VD

Been There, Done That

I’ve also seen 5 foot long pipe wrenches broken in half by using a bulldozer blade to push on them.

Some things just don’t want to turn.

That’s when you get the Blue Wrench out.

As the saying goes, it can’t be seized if it’s a liquid.