Readiness
56/100Capacity across five enabling pillarsAmericas · #3 in region
Brazil
AI Readiness Score
Limited coverageiCoverage describes source availability, not statistical certainty.
- Live
- 0/23
- Years
- Not reported
- Fallback
- 100%
SATURDAY, OCT 31, 20262026 EDITION · 17 INDICATORS
VOL. III · 2026 EDITION
The AI Trajectory IndexMenu
Executive summary
Current standing, trajectory, and source coverage.
Readiness and Adoption
Capacity to build AI compared with evidence of AI use today.
Adoption
55/100Growing AdoptionTrajectory
+3/10PositiveReadiness vs Adoption: Radar
Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 11/20 | 10/20 |
| Talent / Demand | 12/20 | 10/20 |
| Governance / Enterprise | 11/20 | 11/20 |
| Investment / Pipeline | 10/20 | 11/20 |
| Economy / Consumer | 12/20 | 13/20 |
Pillar evidence
Scores, supporting evidence, and the exact inputs behind each contribution.
Infrastructure
São Paulo is Latin America's primary data centre hub with major cloud operator presence
- 5G rollout underway but significant coverage gaps exist outside major urban centres
- Regional infrastructure inequality — Northeast and Amazon regions severely underserved
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Fixed broadband subscriptionsFixed broadband subscriptions unavailable; used 6/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 3.3 / 6 pts | Fallback |
| Individuals using the internetIndividuals using the internet unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.7 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.7 / 3 pts | Fallback |
| Access to electricityAccess to electricity unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.7 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 2.8 / 5 pts | Fallback |
Talent
USP and UNICAMP produce strong computer science and AI research graduates
- Large absolute talent pool (largest in Latin America) despite quality variation
- Brain drain to US and European tech companies impacts domestic AI capability
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Gross tertiary enrolmentGross tertiary enrolment unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 3.6 / 6 pts | Fallback |
| Labour productivityLabour productivity unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 3.6 / 6 pts | Fallback |
| ResearchersResearchers unavailable; used 2/20 of the static Talent baseline. | Not available | Not reported | OECD Data Explorer | 1.2 / 2 pts | Fallback |
| Global Innovation IndexGlobal Innovation Index unavailable; used 1/20 of the static Talent baseline. | Not available | Not reported | World Intellectual Property Organization | 0.6 / 1 pts | Fallback |
| Talent quality baselineTalent quality baseline unavailable; used 5/20 of the static Talent baseline. | Not available | Not reported | AI Trajectory Index | 3.0 / 5 pts | Fallback |
Governance
LGPD (General Data Protection Law) provides solid data governance foundation
- AI regulatory framework under development — Senate advancing AI bill
- Regulatory lag relative to pace of AI adoption in fintech and agritech sectors
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Rule of LawRule of Law unavailable; used 5/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.8 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.2 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.7 / 3 pts | Fallback |
| National AI strategyNational AI strategy unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 1.7 / 3 pts | Fallback |
| AI strategy recencyAI strategy recency unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 1.1 / 2 pts | Fallback |
| AI regulation in forceAI regulation in force unavailable; used 1/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 0.6 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 1.1 / 2 pts | Fallback |
Investment
Nubank, iFood, and Mercado Libre creating AI-driven fintech and commerce infrastructure
- Largest VC market in Latin America but constrained by macroeconomic instability
- Government BNDES development bank investing in AI infrastructure projects
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| R&D expenditureR&D expenditure unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | OECD Data Explorer, then World Bank Open Data | 3.0 / 6 pts | Fallback |
| FDI net inflowsFDI net inflows unavailable; used 5/20 of the static Investment baseline. | Not available | Not reported | World Bank Open Data | 2.5 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 1.5 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 3.0 / 6 pts | Fallback |
Economic Readiness
215M population is Latin America's largest AI market with rapid mobile adoption
- Fintech sector (Nubank, Pix instant payments) demonstrates AI-led financial inclusion at scale
- Agritech AI applications in soy, coffee, and livestock monitoring export globally
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| GDP per capita, PPPGDP per capita, PPP unavailable; used 6/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 3.6 / 6 pts | Fallback |
| Private-sector creditPrivate-sector credit unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 3 pts | Fallback |
| Services value addedServices value added unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 3 pts | Fallback |
| Market capacity baselineMarket capacity baseline unavailable; used 5/20 of the static Economic Readiness baseline. | Not available | Not reported | AI Trajectory Index | 3.0 / 5 pts | Fallback |
| Government debt modifierGovernment debt modifier unavailable; no score adjustment was applied. | Not available | Not reported | IMF DataMapper | 0.0 / 0 pts | Fallback |
Outlook and policy gaps
Forward direction, constraints, and a structured country brief.
Projected 2028
61/100+5 points from todayTop accelerator
Fintech and agritech AI leadership in Latin America's largest marketTop risk
Macroeconomic instability (currency volatility, inflation) and regional infrastructure inequalityFive-section brief
Country research brief
Generate a concise review of standing, infrastructure and talent, governance, investment, and economic outlook.
News and supporting tools
Recent signals, comparable economies, and optional analysis controls.
Live AI News Feed
The Guardian · Google News · Updated hourly
Comparable countries
Nearest neighbours across the five readiness pillars.
Analysis toolsWhat-if model, roadmap, AI Q&A, embed, and print controls
AI Development Roadmap
Algorithmic roadmap based on pillar scores · Updated with live data
◉Development Phase
Brazil is in the Development Phase
Scaling infrastructure and talent pipelines. On current trajectory, Brazil enters the Acceleration phase by 2028 (projected score: 61/100).
2028 Timeline
▶
Now
Score 56
2
2025–26
Talent pipeline scaling to 1,000+ AI graduates/yr
3
2026–27
AI regulation framework published
4
2028
Domestic AI investment exceeds 0.5% GDP
Priority Actions — 3 Weakest Pillars
◇Investment & R&D
10/20Near
Introduce R&D tax credits (≥25%) for AI-related expenditure
Mid
Create sovereign AI venture fund targeting deep-tech Series A/B rounds
⬡Digital Infrastructure
11/20Near
Extend rural connectivity and reduce mobile data costs below $2/GB
Mid
Build national data centre capacity and connect to international internet exchanges
⬟Governance & Policy
11/20Near
Publish risk-tiered AI regulation framework aligned with EU AI Act principles
Mid
Create cross-ministry AI coordination body with dedicated budget line
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.