The BCG Maturity Matrix 2024: A New Model for Global AI Adoption
Ayesha Ahmed
In classic style, Boston Consulting Group released a new matrix about the readiness levels of world economies towards artificial intelligence. The report was titled The AI Maturity Matrix, and it provides a comprehensive analysis of 73 global economies to evaluate their readiness and exposure to artificial intelligence (AI) disruption. The report outlines the economic advantages for pioneers, proposing that emerging and other lagging nations act swiftly to remain competitive.
AI Archetypes
The findings divided the world economies into 3 broad categories:
- AI Emergents: includes economies which are in the early stages of AI adoption and need strategy to build competitiveness. This includes countries from the Middle East and South America.
- AI Practitioners & Contenders: are split into gradual and exposed subgroups. Gradual practitioners include economies from East Asia, Eastern Europe, Central America, and parts of South America and the Middle East. Steady countries were mainly developed economies like Hong Kong, Switzerland, and Australia. Rising contenders include developing countries like India, Brazil, and Poland, these show promising growth in AI advancement.
- AI Pioneers: the top of the AI chain, only 5 countries (out of 73) achieved this ‘AI Pioneers’ status. These countries generally excel in the integration of AI, and leverage strong R&D ecosystems, advanced infrastructure and host skilled talent pools. Countries like the U.S positioned themselves to influence global AI standards and ethics.
The report notes that over 70% of the assessed nations score below the halfway mark in areas such as skills, research and ecosystem development, pointing to a substantial gap in AI preparedness. Additionally, the global AI expenditure is expected to double, reaching $632 billion by 2028, and this reflects technology’s central role in future economic strategies.
Nations like Luxembourg and Singapore lead due to their reliance on financial and business services, which are susceptible and adaptable to AI-driven transformations. Meanwhile, developing economies like India could potentially benefit from AI applications in ‘agritech’ and industrial optimisation.
Determinants of Maturity
The AI Maturity index is measured by two indices. The AI exposure index which reflects how susceptible an economy’s sectors are to AI disruption – positive (efficiency gains), or negative (job displacement). It provides an aggregate of sector-level data based on GDP contribution and draws on sources from BCG Global Innovation Survey, Quid data analysis, Linkedin job postings, and generative AI insights. The scores were normalised on a 0-100 scale and weighted to provide a comprehensive snapshot of the sectoral exposure.
The report also introduces the ASPIRE framework, a mnemonic that evaluates economies across six dimensions and encompasses 33 indicators. The calculation process of this was through normalisation (using a standardised scale of 1-100, and adjusting for skewed data) and the final readiness score was a weighted sum of all dimensions. While the US leads in investment, Mainland China excels in R&D, and Singapore sets benchmarks in policy and ethical governance. The contents of the framework are as follows:
A – Ambition: presence of national AI strategies and specialised agencies
S – Skills: Availability and quality of AI talent
P – Policy & Regulation: Governance effectiveness and data management
I – Investment: Funding in AI-focused startups and infrastructure
R – Research & Innovation: Patents, academic output, and startup ecosystems
E – Ecosystem: Technological infrastructure and digital accessibility.
Global Implications
The AI Maturity Index concludes with recommendations for each archetype:
- Pioneers are urged to drive global standards and invest heavily in R&D to continue to scale AI.
- Contenders are advised to expand AI applications to achieve parity with pioneers.
- Practitioners should strive to balance exposure and readiness, focusing on niche applications.
- Emergents must concentrate to build foundational infrastructure and strategies to enter the global AI race.
The BCG AI Maturity Matrix 2024 is useful for its strategic guidance and as a diagnostic tool for national leaders in the Artificial Intelligence sphere. Global AI spending is expected to soar, adoption is accelerating across sectors and economies that invest in readiness and innovation are likely to dominate the world of AI tomorrow. With this typology for economies, emphasis on particular areas or niches to invest in can help to grow AI as a powerful yet responsible tool for the future business world.

