Readiness
51/100Capacity across five enabling pillarsAmericas · #4 in region
Mexico
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
51/100Growing AdoptionTrajectory
+4/10PositiveReadiness 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 | 9/20 |
| Talent / Demand | 12/20 | 10/20 |
| Governance / Enterprise | 10/20 | 10/20 |
| Investment / Pipeline | 10/20 | 10/20 |
| Economy / Consumer | 8/20 | 12/20 |
Pillar evidence
Scores, supporting evidence, and the exact inputs behind each contribution.
Infrastructure
Mexico City and Guadalajara are growing data centre hubs; AT&T and Telmex rolling out 5G in major cities
- Significant infrastructure inequality — tier-1 cities have good connectivity while rural areas remain underserved
- Nearshore position to US driving investment in cross-border connectivity and data infrastructure
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
UNAM and IPN produce large volumes of engineering and CS graduates, the largest pipeline in Latin America
- Growing nearshore tech sector employing 700,000+ IT professionals serving US companies
- Brain drain to the US is significant but returning diaspora and remote work is building reverse flow
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
Mexico's Federal Law on Personal Data Protection provides a data governance foundation
- National AI strategy in development; INAI data protection authority active but under-resourced
- Political instability and regulatory unpredictability create uncertainty for long-term AI investment
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 | 2.5 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.0 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.5 / 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 | 1.5 / 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 | 1.0 / 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 | 0.5 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 1.0 / 2 pts | Fallback |
Investment
Rappi, Kavak, and Clip demonstrate Mexican founders can build billion-dollar AI-driven companies
- Major US tech companies (IBM, Intel, Oracle) operating significant engineering centres in Guadalajara
- Nearshore tech investment growing rapidly as US companies seek cost-effective AI development
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 and Latin America's second largest economy provides meaningful domestic AI market scale
- Manufacturing sector (near-shoring boom) rapidly adopting AI for supply chain and quality control
- Fintech sector growing fast — Mercado Pago, Clip deploying AI in payments and credit
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 | 2.4 / 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 | 1.2 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.2 / 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 | 1.2 / 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 | 2.0 / 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
57/100+6 points from todayTop accelerator
Nearshoring boom attracting US manufacturers and tech investment at unprecedented paceTop risk
Political instability, regulatory unpredictability, and security concerns deterring international AI investmentFive-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
Mexico is in the Development Phase
Scaling infrastructure and talent pipelines. Projected score by 2028: 57/100.
2028 Timeline
▶
Now
Score 51
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
⬠Economic Readiness
8/20Near
Streamline business registration to under 3 days; digitise government services
Mid
Negotiate AI services trade agreements; join WTO plurilateral digital trade talks
⬟Governance & Policy
10/20Near
Publish risk-tiered AI regulation framework aligned with EU AI Act principles
Mid
Create cross-ministry AI coordination body with dedicated budget line
◇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
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.