Diego Rodríguez Paez
Director of Logistics and Industry Practice
AMI
The productivity gap in Latin American logistics is no longer an operational challenge—it is a strategic liability.
While Southeast Asian peers have used structural tech adoption to leapfrog into global competitiveness, Latin America has stagnated. Since 2000, regional productivity growth has limped along at a negligible 0.2–0.5% annually. For a C-Suite executive, this isn’t just a statistic; it represents billions in “hidden taxes” paid to inefficiency, volatility, and fragmented infrastructure.
Without AI scaling in LatAm logistics, where’s the strong return on investment (ROI) that executives expect?
Structural Barriers: Why Your CTO Can’t Fix a “Market” Problem
The failure to scale AI in Latin America is rarely a failure of code. It is a failure of contextual intelligence.
This causes two key problems:
- The Fragmented Reality: A route optimization model built for the mountainous corridors of Colombia is functionally useless against the fiscal complexity and unionized labor landscape of Brazil.
- The Commercial Void: Most AI initiatives are treated as “cost-saving” tools for operations. Consequently, commercial teams continue to sell standardized services, failing to monetize the increased reliability or speed that AI provides.
We are creating internal efficiencies and giving them away to the customer for free.
If your AI doesn’t give you pricing power, it isn’t a strategic asset; it’s an overhead cost.
3 Tough Questions to Ask about Scaling AI at Your Company
The bridge from “Pilot” to “Profit” requires a layer of market intelligence that most firms currently lack.
For Latin American logistics firms, scaling AI across their operations requires answering 3 tough questions that a dashboard cannot provide:
1
Segment Readiness. Which specific industry verticals are prepared to pay a premium for AI-enabled transparency?
2
Competitive Displacement. Where are local “agile” players using niche analytics to erode our market share in high-margin corridors?
3
The Economic Moat. Where does AI create a defensible competitive advantage, and where is it merely a “table stake” for staying in the game?
Only market intelligence can show you where to best deploy artificial intelligence so it makes you the most money.
It’s Not about More Data Scientists.
It’s about more studies—market studies.
When designed strategically, market intelligence studies can identify the “High-Yield” intersections of technology and regional demand.
In Latin American logistics, the winning companies won’t be the ones with the best AI—it will be the ones that know exactly where to use it.
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