💥 My chat (+transcript) with economist Eli Dourado on creating a fantastic future

Eli Dourado is on a mission to end the Great Stagnation, that half-century period of economic and technological disappointment that began in the 1970s (what I refer to in my 2023 book, The Conservative Futurist, as the Great Downshift). If we want to turn the page on this chapter of slow progress and deserved skepticism, we’re going to have to accept some creative destruction.

Dourado believes that the courage to embrace major change is key to meeting our potential. Today on Faster, Please! — The Podcast, I talk with Dourado about the future of the US job market and energy production in a world of AI.

Dourado is chief economist at the Abundance Institute, and author of his own Substack newsletter.

In This Episode

* The dawn of a productivity boom? (1:26)

* Growing pains of job market disruption (7:26)

* The politics of productivity growth (15:20)

* The future of clean energy (23:35)

* The road to a breakthrough (30:25)

* Reforming NEPA (35:19)

* The state of pro-abundance (37:08)

Below is a lightly edited transcript of our conversation

The dawn of a productivity boom? (1:26)

Pethokoukis:  Eli, welcome to the podcast.

Dourado: Thanks for having me on, Jim.

I would like to think that what we are experiencing here in the 2020s is the beginnings of an extended productivity boom. We have some good economic data over the past year and a half. I know this is something that you care about, as I do . . . What's your best guess?

I think the seeds of a boom are there. There's plenty of low-hanging fruit, but I'd say the last few quarters have not been that great for TFP growth, which is what I followed most closely. So we actually peaked in TFP in the US in Q4, 2021.

Now what is that, what is TFP?

Total factor productivity. So that's like if you look at inputs and how they translate into outputs.

Capital, labor . . .

Capital and labor, adjusting for quality, ideally. We've gotten less output for the amount of inputs in the last quarter than we did at the end of 2021. So slight negative growth over the last three years or so, but I think that you're right that there is room for optimism. Self-driving cars are coming. AI has immense potential.

My worry with AI is other sociopolitical limits in the economy will hold us back, and you kind of see the news breaking today as we're recording this, is there's a strike at the ports on east coast, and what's at issue there is are we allowed to automate those jobs? Are the owners of the ports allowed to automate those jobs? And if the answer ends up being “no,” then you can say goodbye to productivity gains there. And so I really think the technology is there to do a lot more to kick off a productivity boom, but it's the sociopolitical factors that are slowing us down.

And I definitely want to talk about those sociopolitical factors, and the port strike is hopefully not a harbinger. But before I leave this topic, I suppose the super bullish case for productivity is that AI will be so transformative, and so transformative throughout the economy, both automating some things, helping us do other things more efficiently, and creating brand new high-productivity things for us to do that we will have maybe an extended 1990s, maybe more, I might hope?

What is your bullish case, and does that bullish case require what they call artificial general intelligence, or human-level, or human-level plus intelligence? Is that key? Because obviously some people are talking about that.

Can we have an important productivity boom from AI without actually reaching that kind of science-fictional technology?

I don't actually think that you need one-to-one replacement for humans, but you do need to get humans out of the loop in many, many more places. So if you think about the Baumol effect, the idea here is if there are parts of the economy that are unevenly growing in productivity, then that means that the parts of the economy where there is slow productivity growth, perhaps because you have human labor still being the bottleneck, those parts are going to end up being massive shares of the economy. They're going to be the healthcares, the educations, the parts of the economy where we have lots of inflation and increased costs. So the real boom here, to me, is can you replace as many humans as possible? Over the short run, you want to destroy jobs so that you can create a booming economy in which the jobs are still available, but living standards are much higher.

If you think about these big chunks of GDP like health, housing, energy, transportation, that's what you need to revolutionize, and so I can think of lots of ways in health that we could use AI to increase productivity. And I also have very little doubt that even current levels of AI could massively increase productivity in health. I think the big question is whether we will be allowed to do it.

So you don't need AGI that is as good as a human in every single thing that a human might do to limit the number of humans that are involved in