Latin America needs to develop its own robotic infrastructure—interoperable, context-sensitive, and strategically oriented—if it aims to participate with greater autonomy in the emerging global industrial economy. Robotics should no longer be understood merely as the acquisition of industrial arms, drones, or isolated automated systems. Rather, it should be conceived as a complex technological infrastructure that brings together physical robots, software-based automation, artificial intelligence, sensors, connectivity, data systems, cybersecurity, human talent, laboratories, standards, and local productive capabilities.
This discussion is increasingly urgent. Around the world, the deployment of robotics is advancing at very different speeds across regions, deepening existing gaps in productivity, innovation, and industrial competitiveness. According to the International Federation of Robotics, China accounted for 54% of global industrial robot installations in 2024, with nearly 295,000 industrial robots installed that year, consolidating its position as the world’s largest robotics market. This trend confirms that robotics is no longer a peripheral technological asset. It has become a critical infrastructure for competing in the contemporary industrial economy.
1. Robotics as Strategic Infrastructure
For decades, robotics was mainly associated with advanced manufacturing and industrial automation. Today, however, that interpretation is too narrow. Robotics has become a cross-cutting infrastructure with applications in production, logistics, healthcare, agriculture, mining, energy, education, construction inspection, urban management, and services.
To speak of robotic infrastructure is to recognize several interconnected layers. The first is a physical layer, composed of industrial robots, collaborative robots, drones, autonomous vehicles, mobile robots, sensors, actuators, laboratories, charging stations, and operational environments. The second is a digital layer, which includes robotic software, control platforms, digital twins, simulation systems, artificial intelligence, industrial Internet of Things architectures, APIs, cloud computing, and edge computing. The third is a data layer, focused on data capture, storage, analytics, traceability, model training, predictive monitoring, and data governance. Finally, there is an organizational layer that involves human talent, standards, regulations, cybersecurity, maintenance models, technological ethics, and business adoption strategies.
From this perspective, a robotics policy for Latin America cannot be reduced to the purchase of equipment. It must instead build an architecture of capabilities capable of connecting industry, universities, the public sector, entrepreneurship, applied research, and talent development.
2. The Geoeconomic Challenge: China Scales, the United States Innovates, and Latin America Adopts Slowly
The international landscape reveals a profound gap. China has transformed robotics into a large-scale industrial policy. Its leadership cannot be explained solely by the size of its economy, but by the coordinated articulation of manufacturing capacity, financing mechanisms, local suppliers, technological development, productive automation, and industrial strategy. According to the International Federation of Robotics, China was not only the world’s largest market for industrial robots in 2024; it also surpassed two million industrial robots in operation, the largest operational stock globally.
The United States, for its part, maintains significant strengths in research, artificial intelligence, software, startups, university laboratories, and advanced robotics. Nevertheless, even in the United States, there is growing recognition of the need for a more coordinated national strategy. In 2025, the Association for Advancing Automation proposed a vision for a national robotics strategy aimed at strengthening interinstitutional coordination, technological leadership, economic security, and robotic innovation.
Latin America occupies a different position. The region has made progress in industrial automation, drones, educational robotics, healthcare applications, logistics, mining, precision agriculture, and process automation. However, it still lacks a sufficiently articulated regional robotic infrastructure. The Inter-American Development Bank has emphasized that robotics is transforming sectors such as manufacturing, logistics, agriculture, and services, while also highlighting the growing relevance of collaborative robots, drones, and humanoid systems in contemporary productive environments.
In other words, Latin America’s gap is not only a robotics gap. It is also a gap in productivity, investment, talent, connectivity, industrial sophistication, data governance, technological financing, and public policy.
3. Technological Autonomy: Beyond Dependence on Imported Platforms
Technological autonomy should not be understood as technological isolation. Rather, it refers to the capacity to decide, adapt, integrate, maintain, audit, and develop technologies according to the specific needs of each territory. In the field of robotics, dependence may arise at multiple levels: imported hardware, proprietary software, data hosted outside the region, external maintenance services, artificial intelligence models not trained on local data, and standards defined by foreign industrial ecosystems.
Latin America can and should import technology. However, it cannot limit itself to being a passive consumer of external platforms. The region needs to strengthen its capacity to design solutions, adapt robots to local environments, integrate sensors, develop software, create laboratories, train specialized talent, generate its own data, and build value chains associated with robotics.
This autonomy is particularly important in strategic sectors such as agroindustry, healthcare, energy transition, road infrastructure, ports, biodiversity, water management, responsible mining, manufacturing, occupational safety, and smart cities. As ECLAC has noted, Latin American and Caribbean countries face structural challenges that limit the effective adoption of digital technologies. This makes it necessary to strengthen the enabling conditions for an inclusive and sustainable digital transformation.
4. Global Competitiveness: Without Robotics, There Will Be No Productive Leap
Latin America has historically faced low productivity levels compared to more industrialized economies. Robotics could become a key lever for closing part of that gap, but only if it is embedded within a broader strategy for productive transformation.
Robotic infrastructure can contribute to automating repetitive, dangerous, or low-precision tasks; improving quality and traceability; reducing waste; increasing productivity; optimizing logistics; strengthening precision agriculture; improving occupational safety; and creating new export capabilities. However, these benefits do not emerge automatically. They require investment, training, digital infrastructure, connectivity, data systems, and organizational capabilities.
For this reason, robotics should not be treated as a collection of isolated devices. It should be understood as an advanced dimension of productive digital transformation. Its value depends not only on the machines themselves, but also on the ecosystems that make their adoption, adaptation, and scaling possible.
5. Robotic Infrastructure Must Include Both Physical and Logical Robots
A common misconception is to associate robotics exclusively with physical machines. Contemporary robotic infrastructure also includes logical robots: software systems capable of automating digital processes.
Physical robots act upon the material world. They assemble, transport, inspect, clean, assist, measure, and manipulate objects. Logical robots, by contrast, act upon information. They validate data, integrate systems, process requests, generate alerts, automate procedures, extract information, execute rules, and support decision-making.
For Latin America, this distinction is especially important. Many sectors can begin their robotic transformation through process automation, robotic process automation, artificial intelligence agents, integration bots, and operational analytics systems. Over time, this digital layer can be integrated with physical robots in hospitals, ports, factories, laboratories, logistics centers, and smart territories.
This broader understanding of robotics allows the region to move progressively from digital automation toward more complex forms of cyber-physical integration.
6. Priority Sectors for Latin America
A Latin American agenda for robotic infrastructure should prioritize sectors where the region faces critical needs and also possesses significant potential advantages.
In agroindustry and food security, robotics can support crop monitoring, smart irrigation, assisted harvesting, soil analysis, agricultural drones, and food traceability.
In healthcare and hospital services, robotics can contribute through internal transport robots, pharmacy automation, assisted surgery, logistics management, administrative automation, remote monitoring, and traceability processes.
In physical infrastructure, drones, mobile robots, and sensor networks can support the inspection of bridges, roads, tunnels, power grids, aqueducts, dams, and buildings.
In manufacturing and logistics, collaborative robotics can increase productivity in industrial SMEs, distribution centers, ports, free trade zones, and export-oriented value chains.
In mining, energy, and ecological transition, robots can support remote inspection, operations in hazardous environments, predictive maintenance, and environmental monitoring.
In education and research, universities, technical institutes, and schools should become nodes for training, experimentation, applied research, and technology transfer.
These sectors show that robotic infrastructure should not be understood only as a matter of industrial modernization. It should also be seen as a development policy linked to territorial transformation, productivity, sustainability, and technological sovereignty.
7. Toward a Regional Agenda
Latin America needs to move from isolated projects to a systemic strategy. A regional policy for robotic infrastructure should include at least eight strategic lines of action: national and regional laboratories for applied robotics; large-scale training of technical, technological, and professional talent; testing centers for SMEs; industrial data policies; innovative public procurement; university-business-government collaboration; cybersecurity and digital sovereignty; and Latin American cooperation.
Such an agenda is consistent with the need to advance toward an inclusive, sustainable, and productive digital transformation. It also recognizes robotics as a cross-cutting technology with the potential to transform multiple sectors simultaneously.
The challenge is not simply to adopt more robots. The real challenge is to build the institutional, technological, educational, and productive conditions that allow robotics to become a platform for development.
8. The Risks of Inaction
If Latin America does not develop its own robotic infrastructure, it will face several risks: deeper technological dependence, loss of industrial competitiveness, lagging participation in automated global value chains, difficulty attracting advanced investment, persistent low productivity, limited creation of technology-intensive jobs, vulnerability to external providers, and reduced capacity to scale local solutions for territorial challenges.
The greatest risk is not simply that robots may replace certain human tasks. The greater risk is that Latin America may be excluded from value chains in which robotics, artificial intelligence, data, and automation have already become basic conditions for global competition.
While China advances through massive industrial deployment and the United States seeks to consolidate its leadership through a national robotics strategy, Latin America must formulate its own roadmap—one that responds to its structural gaps, existing capabilities, and strategic sectors.
Conclusion
Robotic infrastructure must become a strategic priority for Latin America. Not as a technological fashion, but as a condition for building autonomy, productivity, and global competitiveness.
China is advancing through industrial scale. The United States continues to strengthen its frontier capabilities in innovation, artificial intelligence, and software. Latin America still has the opportunity to build its own path, grounded in its productive, social, and territorial needs.
That path should not be limited to importing robots. It must include talent development, applied laboratories, support for SMEs, software development, data generation, protection of critical infrastructure, university-industry collaboration, and long-term public policy.
The central question is no longer whether Latin America should adopt robotics. The real question is whether it will do so as a dependent consumer or as a region capable of building its own technological capabilities.
A Latin American robotic infrastructure is, ultimately, an infrastructure for autonomy. And without technological autonomy, global competitiveness will become increasingly difficult to sustain.
References
Association for Advancing Automation. (2025). A3 releases vision for a U.S. National Robotics Strategy. A3.
Banco Interamericano de Desarrollo. (2025). The robotics revolution: Technology, trends, and impact in 2024. BID.
Comisión Económica para América Latina y el Caribe. (2022). A digital path for sustainable development in Latin America and the Caribbean. CEPAL.
International Federation of Robotics. (2025). World Robotics 2025: Industrial robots. IFR.
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