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archive John Loeber (@johnloeber) https://essays.johnloeber.com/p/32-contra-citrini7-repost 2026-02-23
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ai-intelligence-crisis-divergence-feb2026

Contra Citrini7 — John Loeber

Rebuttal to Citrini's "2028 Global Intelligence Crisis." Originally published as X thread, republished on Substack. Argues the bear case underestimates institutional momentum, software demand elasticity, and re-industrialization capacity.

Core Arguments

1. Institutional Momentum

  • "Every time, existing institutions with momentum have proven themselves far more durable than onlookers thought"
  • Real estate broker example: people have called for their end for 20 years, but regulatory capture and market inertia make them resilient
  • The "iron rule": everything is always more complicated and takes much longer than you think, even if you already know about the iron rule
  • Change will be more gradual, giving time to respond and adjust

2. Software Has Infinite Demand for Labor

  • "Virtually all current software is garbage"
  • Current SaaS products "fucking suck" — they're being repriced because AI enables competition, not because software demand is falling
  • Even with a Software Singularity, demand for labor is "practically infinite"
  • Every software product could scale up complexity and features by ~100x before saturating demand
  • Jevons Paradox: efficiency gains increase total demand, not decrease it
  • Software engineering isn't forever-resilient, but saturation will be a slow process

3. Re-Industrialization

  • US has "virtually limitless capacity and need for re-industrialization"
  • Physical infrastructure: batteries, motors, semiconductors, ammonia (China makes 90% of world supply)
  • Employment megaprojects as political path of least resistance
  • Subject to physical-world friction, not AI singularity speed
  • "People will find it gratifying to see the fruits of their labor in the real world"

4. Path to Abundance

  • Industrial megaprojects → independence → large-scale low-cost production → material abundance
  • AI taking margins to zero makes consumer products equivalently cheap
  • Different parts of the economy "take off" at varying speeds — virtually all slower than Citrini suggests
  • Government showed during Covid it's willing to be proactive and aggressive with stimulus
  • "The point is material prosperity for people in the course of their lives... not satisfying the accounting metrics or economic norms of the past"

Key Tension with Citrini

  • Agrees disruption is real, disagrees on speed and severity
  • Loeber's framework: gradual displacement + institutional inertia + policy response = manageable transition
  • Citrini's framework: self-funding feedback loop + no natural brake = unmanageable acceleration
  • The mechanism disagreement is about whether AI displacement has a natural speed limit imposed by real-world friction

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