---
description: Acemoglu's framework of critical junctures -- turning points where institutional paths diverge -- maps directly onto the AI governance gap, creating the kind of destabilization that enables new institutional forms
type: claim
domain: ai-alignment
created: 2026-02-17
source: "Web research compilation, February 2026"
confidence: likely
---

Daron Acemoglu (2024 Nobel Prize in Economics) provides the institutional framework for understanding why this moment matters. His key concepts: extractive versus inclusive institutions, where change happens when institutions shift from extracting value for elites to including broader populations in governance; critical junctures, turning points when institutional paths diverge and destabilize existing orders, creating mismatches between institutions and people's aspirations; and structural resistance, where those in power resist change even when it would benefit them, not from ignorance but from structural incentive.

AI development is creating precisely this kind of critical juncture. The mismatch between AI capabilities and governance structures is the kind of destabilization Acemoglu identifies as a window for institutional transformation. Current AI governance institutions are extractive -- a handful of companies and governments control development while the population affected encompasses all of humanity. The gap between what AI can do and what institutions can govern is widening at an accelerating rate.

Critical junctures are windows, not guarantees. They can close. Acemoglu also documents backsliding risk -- even established democracies can experience institutional regression when elites exploit societal divisions. Any movement seeking to build new governance institutions during this juncture must be anti-fragile to backsliding. The institutional question is not just "how do we build better governance?" but "how do we build governance that resists recapture by concentrated interests once the juncture closes?"


### Additional Evidence (confirm)
*Source: [[2026-03-18-cfr-how-2026-decides-ai-future-governance]] | Added: 2026-03-18*

CFR fellow Michael Horowitz explicitly states that 'large-scale binding international agreements on AI governance are unlikely in 2026,' confirming that the governance window remains open not because of progress but because of coordination failure. Kat Duffy frames 2026 as the year when 'truly operationalizing AI governance will be the sticky wicket'—implementation, not design, is the bottleneck.

---

Relevant Notes:
- [[technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap]] -- the specific dynamic creating this critical juncture
- [[adaptive governance outperforms rigid alignment blueprints because superintelligence development has too many unknowns for fixed plans]] -- the governance approach suited to critical juncture uncertainty
- [[safe AI development requires building alignment mechanisms before scaling capability]] -- the urgency dimension of the juncture

Topics:
- [[_map]]
