--- type: archive source: "John Loeber (@johnloeber)" url: https://essays.johnloeber.com/p/32-contra-citrini7-repost date: 2026-02-23 tags: [rio, ai-macro, labor-displacement, rebuttal, scenario-analysis] linked_set: 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 ## Connections to Knowledge Base - Jevons Paradox argument maps to [[internet finance generates 50 to 100 basis points of additional annual GDP growth]] — expanded access creates new demand - Re-industrialization thesis is orthogonal to internet finance — physical economy absorbing displaced digital workers - Institutional momentum argument challenges the speed assumptions in [[what matters in industry transitions is the slope not the trigger]]