Thailand
Falling behindAsia-PacificUpper-middle income
Power #31 / 48Per-capita #38
Cognitive Power
29.1
of 100 · #31
CPI
29.1
CC
33.0
CDI
0.320
AIR
22.3
AIX
14.2
CRI
28.5
CM
28.7
CV
3.1%
Primary · absolute lens
Cognitive Power
29.1 · #31/48
Total national capacity — AI capital, compute, models & robotics. Strongest in researchers (total), robotics & automation, economic mass.
Per-capita lens
Cognitive Coefficient
33.0 · #38/48
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
Thailand ranks #38 of 48 on the Cognitive Coefficient (33.0/100), with a trajectory classified as Falling behind relative to the frontier. Its strongest pillars are ai access, digital literacy; the binding constraints are ai adoption, compute.
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 (13.6/100) — targeted investment compounds fastest here.
- Largest headroom in Compute (21.3/100) — 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.
▲
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.