Key Takeaways

  • Daniel Gross argues that AI's arrival, dubbed 'day 120 of the singularity,' will act as a 'lower-cost super intelligence,' driving disinflation much like China's entry into the World Trade Organization in 2001.
  • He predicts a steep drop in costs for goods and services where AI can replace or augment human labor, especially in sectors that have seen productivity stagnate.
  • Conversely, industries less impacted by AI, such as four-year university tuition or personalized services, will likely see their relative costs rise due to Baumol's cost disease.
  • Gross speculates AI could ignite a re-industrialization of previously inefficient sectors, as engineering talent shifts from saturated software fields to solve long-standing 'cost-diseased' problems.

The China Shock, But For AI

When China joined the World Trade Organization, it flooded the global economy with cheaper goods and services. The effect was undeniably disinflationary. Daniel Gross, on the Cheeky Pint podcast, believes AI will deliver a similar economic shockwave. He told the hosts, “I think the best reference point I have for the singularity is the last time we connected a lower-cost super intelligence to the global economy. And I would say that that's roughly when China started modernizing and then joined the World Trade Organization.”

Gross frames AI as this new “lower-cost super intelligence.” Just as Chinese manufacturing made everything from electronics to textiles cheaper, AI is poised to drastically reduce the cost of tasks that once required expensive human intellect or labor. This isn't just about software; it's about making intellectual output, design, analysis, and even physical production significantly more affordable. The historical parallel suggests we should prepare for widespread price reductions, particularly in areas where AI can be easily integrated.

Disinflation and the Cost Disease Divide

If AI is a disinflationary force, where will we feel it most? Gross believes it will depress costs for anything AI can help you create or deliver. Think durable goods, code, creative content, customer support, and even many service roles. John Collison, also on the podcast, reinforced this idea: “Shouldn't we expect more of that effect with AI where you just get massive deflation in the things that AI can help you with?”

However, this won't be uniform. Collison immediately followed up by mentioning that other things “you shouldn't necessarily bet on you know um four-year university tuition getting that much cheaper.” This is Baumol's cost disease in action: sectors with low productivity growth (like live music performances, healthcare, or higher education, where human interaction is core) see their costs rise relative to sectors with high productivity gains. As AI makes everything else cheaper, these human-intensive services will feel comparatively more expensive.

The Re-Industrialization Bet

Here's where Gross's speculation gets interesting. For decades, the smartest people often gravitated towards software, leaving many traditional industries with 'cost disease' untouched. These are industries where labor costs have driven prices up because productivity hasn't kept pace. Gross sees AI changing this dynamic. He suggests, “We may re-industrialize certain parts of the economy that have had a lot of cost disease because a lot of those people end up working on things in areas where there's a lot of low hanging fruit and they just haven't been touched because all the talent has been allocated to software.”

Imagine applying advanced AI, robotics, and automation to manufacturing, construction, or even localized food production. What was once inefficient and costly due to human labor could become highly productive and affordable. This implies a significant shift in where capital and talent get deployed, potentially revitalizing industries we thought were mature or in decline.

What to Do With This

For founders in their 20s and 30s, this means two things. First, identify every process in your business where AI can replace or augment labor to drive down costs; act on these immediately to gain a competitive edge. Second, look for sectors historically plagued by high labor costs and low productivity – think niche manufacturing, specialized agriculture, or local service industries – because AI might make these previously 'unsexy' markets ripe for disruption and re-industrialization.