Mexico
Falling behindLatin AmericaUpper-middle income
Power #29 / 48Per-capita #41
Cognitive Power
29.4
of 100 · #29
CPI
29.4
CC
30.1
CDI
0.264
AIR
25.6
AIX
18.5
CRI
27.1
CM
23.9
CV
2.9%
Primary · absolute lens
Cognitive Power
29.4 · #29/48
Total national capacity — AI capital, compute, models & robotics. Strongest in economic mass, robotics & automation, researchers (total).
Per-capita lens
Cognitive Coefficient
30.1 · #41/48
How deep infrastructure runs per person — rewards intensity, like GDP-per-capita or the HDI.
CC projection to 2040 — Baseline
All 8 scenarios →Monte-Carlo band (P10–P90) around the median path. Dashed = illustrative historical reconstruction.
Median (P50)P10–P90 bandReconstruction
Pillar profile
Insight engine
Mexico ranks #41 of 48 on the Cognitive Coefficient (30.1/100), with a trajectory classified as Falling behind relative to the frontier. Its strongest pillars are ai access, education; the binding constraints are ai adoption, knowledge infrastructure.
Risks
- Low cognitive resilience: heavy reliance on externally-controlled frontier infrastructure.
- Relative position is eroding — growth pace trails the frontier, widening the gap.
Opportunities
- Largest headroom in AI Adoption (16.3/100) — targeted investment compounds fastest here.
- Largest headroom in Knowledge Infrastructure (19.0/100) — targeted investment compounds fastest here.
Recommended actions
- Prioritise the weakest pillar (AI Adoption) to lift the geometric-mean development index (CDI).
- Convert access into utilization: workforce AI-skilling and agentic-workflow adoption.
- Broaden the base (education + data governance) to raise resilience and reduce concentration risk.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.