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At least five interesting things: Future of humanity edition

Noah Smith returns with a collection of economic and geopolitical observations that cuts through the noise to reveal structural shifts often obscured by daily headlines. The piece's most arresting claim isn't about a single policy win or loss, but rather a counter-intuitive historical pivot: the era of mass extinction may be peaking, while the future of human infrastructure is being built not by governments, but by African startups bypassing the grid entirely. For the busy reader, this offers a rare synthesis of financial risk, climate adaptation, and the quiet mechanics of global power that defies standard political narratives.

The Fragility of AI Hype and the Tariff Paradox

Smith opens by questioning the sustainability of the artificial intelligence boom, moving beyond the typical debate about whether AI is "real" to ask a more dangerous question: are we running out of cash to fund it? He notes that while early investment was fueled by massive corporate profits, the dynamic is shifting. "In the recent past, big tech companies like Google and Meta funded — or at least, could have funded — their AI expansions out of their own profits. But the WSJ has a story about how data center builders are starting to have to borrow instead of just redirecting the cash from their core businesses." This transition from self-funding to debt reliance is a classic warning sign in financial history, suggesting the bubble's foundation is weaker than the hype implies. The risk here isn't just a stock market correction, but a sudden drying up of the liquidity that currently props up the entire sector.

At least five interesting things: Future of humanity edition

Shifting to trade policy, Smith dismantles the simplistic narrative that tariffs are purely inflationary. He argues that while economists correctly predicted tariffs would hurt manufacturing, the inflationary impact has been muted by a different mechanism: demand destruction. "Tariffs can also hurt the real economy, causing shocks in the system and an increase in negative sentiment that reduces aggregate demand. Reducing aggregate demand is disinflationary." This is a crucial distinction often lost in political rhetoric. The administration's tariffs may indeed be raising prices modestly, but they are simultaneously slowing economic activity, which forces companies to cut prices to survive. As Smith puts it, "Basically, this is a case where one harm of tariffs partially cancels out another harm from tariffs. That's not a good thing, and it's not a reason to stop listening to economists."

Critics might argue that this deflationary effect is a temporary blip that will vanish once supply chains fully adjust, leaving only the price hikes. However, the historical data Smith cites from the San Francisco Fed suggests this trade-off is a structural feature of tariff shocks, not a glitch. The policy effectively punishes the economy to keep inflation numbers low, a dangerous gamble that prioritizes a metric over material well-being.

The way they create deflation is by harming the economy so much that people stop spending and prices go down!

Africa's Leapfrog and the End of Extinction

Perhaps the most optimistic section of the piece challenges the Western-centric view of development. Smith highlights a vision where Africa doesn't follow the industrial path of the 20th century but instead pioneers a "solarpunk" future. He cites Skander Garroum's observation that "The grid that never came turned out to be a blessing," allowing for a distributed, modular energy system that bypasses the need for massive, state-run infrastructure projects. This isn't just theory; the scale is staggering. "Over 30 million solar products sold in 2024. 400,000 new solar installations every month across Africa." This rapid, private-sector-led electrification suggests that the future of human infrastructure may look less like the centralized grids of Europe and more like the agile, decentralized networks emerging in the Global South.

Even more surprising is the data on biodiversity. While the narrative of human-induced mass extinction is overwhelming, Smith points to a study indicating that the worst of the Holocene extinction event may be behind us. "The 'Holocene extinction' may already be ending," he writes, citing research that shows extinction rates for plants and land vertebrates have declined since the early 1900s. This decline correlates with the "environmental Kuznets curve," where wealthier societies invest more in conservation and hunt less. "One of the reasons for declining extinction rates 'is many people are working hard to keep species from going extinct. And we have evidence from other studies that investing money in conservation actually works.'"

This argument provides a necessary counterweight to the despair often surrounding climate news. It suggests that human intervention, when properly funded and directed, can reverse the damage. However, a counterpoint worth considering is that this success is largely limited to specific regions and species; the broader crisis of habitat loss in the tropics remains acute, and the decline in extinction rates does not equate to a recovery of biodiversity.

Institutional Drift and the Electric Tech Stack

The piece concludes with a sharp critique of American institutional coherence, particularly regarding immigration and industrial policy. Smith questions who is actually driving the ship in Washington, noting that recent immigration raids appear to be driven by arbitrary quotas rather than strategic policy. "The answer to 'Who is making immigration policy?' is 'no one'." He describes a scenario where low-level agents are unleashed to meet numerical targets, creating diplomatic incidents and threatening supply chains without any central direction. This lack of strategic oversight extends to the competition with China. Smith argues the U.S. is losing the race for the "Electric Tech Stack" because it framed electric vehicles as an environmental issue rather than a power play. "While we debated environmental incentives, China was building the foundations of a new industrial order." The result is a stark disparity: China commands 60 percent of global battery electric vehicle sales, while America barely reaches 16 percent.

Smith also revisits the debate over Social Security, referencing a paper on Japan's sovereign wealth fund strategy. He suggests that the U.S. might have erred in rejecting the idea of investing the trust fund in higher-yielding assets, though he acknowledges the significant risks involved. "As Chien et al. note, doing this comes with substantial risks — adverse macroeconomic events can end up making government debt even worse, or make bondholders lose money." The core tension remains: the U.S. government is hesitant to take the risks necessary to secure its long-term fiscal health, while competitors are aggressively building the infrastructure of the future.

Bottom Line

Noah Smith's strongest contribution here is the reframing of global trends away from political personality and toward structural reality: the AI bubble is a liquidity problem, tariffs are a double-edged sword of inflation and stagnation, and the future of energy is being built in Africa, not Washington. The piece's greatest vulnerability is its reliance on optimistic data regarding extinction rates, which may obscure the severity of ongoing habitat loss in critical ecosystems. The reader should watch for whether the U.S. can pivot its industrial strategy before the gap in the electric tech stack becomes unbridgeable.

The grid that never came turned out to be a blessing.

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At least five interesting things: Future of humanity edition

by Noah Smith · Noahpinion · Read full article

Hi, folks! I’m back from my travels in Europe, and just getting back into the swing of blogging. I have a bunch of posts lined up, but if there’s anything you really want me to write about, just drop it in the comments!

Here’s an episode of Econ 102, where Erik and I go through a variety of topics:

Onward to the list of interesting things!

1. Liquidity and the AI “bubble”.

The American economy’s future — and possibly, the future of American politics — hinges on the question of whether AI will have a big crash. In a previous post, I wrote that the question likely hinges not on traditional “bubble” processes like speculation or extrapolative expectations, but merely on whether or not people are overestimating the speed with which AI can generate real returns.

But I might be wrong about that. There might also be more traditional “bubble” processes at work — herd behavior, or speculation, or psychological FOMO, etc. — that might be driving some real AI investment. If so, one warning sign we’d want to watch out for is a drying up of investor liquidity.

In lots of economic models of financial bubbles — the extrapolative expectations model, the information overshoot model, etc. — the bubble stops when people simply run out of more cash to throw into the frenzy. So I get worried when I see stories about AI investors running out of cash:

In the recent past, big tech companies like Google and Meta funded — or at least, could have funded — their AI expansions out of their own profits. But the WSJ has a story about how data center builders are starting to have to borrow instead of just redirecting the cash from their core businesses.

That’s ominous, because that process can’t go on forever.

2. Tariffs and inflation.

Economists were right about the fact that Trump’s tariffs would hurt U.S. manufacturing by making it harder to purchase intermediate goods. Trump should have listened to the economists about this.

But were economists wrong about the inflationary effects of tariffs? JD Vance seems to think so:

Now first of all, it’s pretty foolish to make sweeping claims about the economics profession based on a missed forecast. The economics profession, in general, isn’t in the business of macroeconomic forecasting (because none of its forecasting methods are very effective). And even if it was, forecasting ...