Methodology · Global stakeholders

The AI Investment Lens.

How we evaluate where AI investment in emerging markets can compound — and where constraints will slow it. Two complementary lenses, adapted from the IFC & World Bank Group handbook Accelerating Artificial Intelligence Investment in Emerging Markets (2026).

The framework

Two lenses, read together.

One lens overstates momentum from isolated wins; the other underestimates the teams that route around gaps. Used together, they reveal the feedback loop — early ecosystem wins justify infrastructure bets, and infrastructure unlocks the next wave of AI solutions.

The Ecosystem Lens

Who builds & enables AI

Maps the actors and innovations — the AI-enabling building blocks and the AI-enabled vertical solutions — and where early value can be captured.

Read alone, it overstates traction by mistaking short-term ingenuity for structural readiness.

The Structural Elements Lens

What makes it last

Tests the foundations — data & digitization, energy & construction — that convert pilot wins into durable, scalable capacity.

Read alone, it turns fatalistic — right on constraints, but blind to teams that route around them.

Ecosystem Lens · who builds & enables AI

The AI-enabling building blocks.

The investable layers underneath every AI solution. We map which an opportunity owns — and which it depends on.

Hard infrastructure

The physical backbone: connectivity, AI data centers and cooling, high-performance compute and chips, edge and compute-as-a-service.

Connectivity & cloud accessAI data centers & coolingGPUs / HPC · edge computeCompute-as-a-Service

Soft infrastructure

The human and institutional layer: digital & AI skills, accelerators and incubators, research labs, academic hubs and open AI communities.

AI & data skillsAccelerators / incubatorsResearch labs & academic hubsOpen AI communities

Digital public infrastructure

Shared, population-scale systems for identity, payments, data exchange and registries that AI plugs into — the fastest path to trusted, compliant scale.

Digital identityReal-time paymentsInteroperable data exchangePublic registries

AI building blocks

The modular software: foundational models (LLMs), MLOps and data-preparation tooling — proprietary or open-source / open-weight.

Foundational models / LLMsMLOps platformsData preparationOpen-source & open-weight

AI-enabled · Vertical AI

10 sectors

Specialized AI built for a specific industry — where local advantage compounds, since it's tuned to local data, workflows and regulation.

Education & HealthAgribusinessManufacturing & IndustryInfrastructure & LogisticsTourism & CreativeServices & EnterpriseE-CommerceFintechPrivate CapitalPolicy & Regulation
Structural Elements Lens · what makes it last

The foundations that turn pilots into capacity.

As foundational models and tooling commoditize, the durable edge shifts to these — and to proprietary data, trusted workflows and supply-chain positioning.

Data & digitization

Access to high-quality, local, well-governed data — and the digitization that creates it. As models commoditize, trusted local data becomes the durable moat.

Local, high-quality dataDigitizing analog workflowsData governance & residencyFair value capture

Energy & construction

Reliable, clean power; efficient cooling; green materials and grids — the operational capacity that lets workloads run, iterate and scale locally.

Clean & resilient powerCooling & energy efficiencyGreen construction & gridsLocal compute capacity

Where the durable edge sits

Trusted local & proprietary data Verified performance in compliance-heavy workflows Integration with national payments & identity Reliable operation at low bandwidth Ownership of workflow & distribution
Apply the lens

Score a market in 30 seconds.

Rate a market across both lenses to get an indicative AI-investment readiness profile, the layer to lead with, and the binding constraint to watch.

Rate a market

Two lenses
Hard infrastructureConnectivity, compute, data centers
Talent & soft infrastructureAI skills, accelerators, research
Digital public infrastructureIdentity, payments, data exchange
Data & digitizationLocal, high-quality, governed data
Energy & constructionReliable, clean power & cooling
Market demand & adoptionWilling local + export buyers

AI investability profile

Framework-based
33/100
AI-investment readiness
Early-stage — sequence the basics

Sequence digital public infrastructure and data & digitization first to unlock the next wave of AI value.

Lead with hard infrastructure. Your strongest layer — anchor the thesis here and build adjacent.
Watch market demand & adoption. The binding constraint — sequence investment here so early wins don't stall.
Indicative, framework-based — adapt with on-the-ground evidence. Use it to frame a market, not to price a deal.
Why it matters

Three rationales, one trajectory.

Economic

Competitiveness, productivity, new industries and markets — and human capital for the future of work.

Developmental

Quality, access and affordability of services — health diagnostics, adaptive learning, inclusive credit.

Sovereignty

Strategic autonomy, technological sovereignty, and a seat in shaping global AI governance and standards.

The maturity ladder

Traditional → Generative → Agentic
1Traditional AI

Pattern recognition & decision support in defined domains. High human involvement.

e.g. Fraud detection, crop-yield forecasting

2Generative AI

Creates content and handles open-ended tasks. Moderate human involvement.

e.g. Marketing copy, an AI tutor in a local language

3Agentic AI

Autonomous agents that plan and complete multi-step tasks and adapt to feedback. Low human involvement.

e.g. End-to-end customer service, supply-chain management

Put the lens to work on a real market.

Country Analysis applies this thinking to live data — attractiveness, risk, sectors and active deals — for any market you cover.

Adapted by Inclusive Capital Hub from IFC & World Bank Group, Accelerating Artificial Intelligence Investment in Emerging Markets (2026). This is our independent adaptation for screening purposes and is not an official IFC or World Bank Group product or endorsement.