What happened
BCG's 2026 AI Maturity Matrix assesses more than 75 economies on two dimensions — AI exposure and AI readiness — across 33 indicators, adding three new indicators this year on compute, domestic model development, and regulation. Readiness is measured through the ASPIRE framework (Ambition, Skills, Policy and regulation, Investment, Research and innovation, Ecosystem). The report's headline argument, quoted verbatim, is that "readiness is almost entirely determined by the speed with which a nation can act on AI exposure; how fast a country can convert its current exposure into working capability determines how much of its potential it fulfills." Since the first 2024 edition, Japan and South Korea joined the top-tier AI Pioneers and eight economies moved up a readiness tier, while "AI exposure is now concentrated in knowledge work, but a shift toward disruption of the physical economy is already underway." It warns that AI sovereignty (chips, compute/cloud, models, applications) has become a policy priority and that cross-border relocation of highly skilled AI professionals fell 12% in 2025.
Why it matters
A quantified 75+ economy benchmark that identifies which jurisdictions are converting AI ambition into deployed capability — useful for executives and boards assessing market/regulatory risk and talent exposure across operating regions.
Action needed
Re-screen your footprint against the 2026 maturity tiers and the ASPIRE dimensions (especially sovereign-compute and talent-mobility signals) to inform cross-border AI strategy and regulatory planning.