Salta, August 2025
In the latest satellite imagery, northern Argentina shines brighter than its capital cities—not because of industrial growth or urban sprawl, but due to the density of sensors, algorithms, and drones scanning the land in real time. Where once footprints, cattle routes, or seasonal rains were tracked, we now find moisture levels, machine telemetry, genetic crop profiles, and hyperlocal weather fluctuations being logged by the second. The countryside is no longer a passive space—it has become a digitized node within the architecture of global power.
The rise of artificial intelligence in South America’s rural sector has been neither neutral nor benign. Marketed under the banners of “technological innovation” and “food security optimization,” it is reconfiguring rural landscapes into controlled, data-driven ecosystems where farmers are increasingly invisible and digital platforms mediate every transaction between soil and market. What presents itself as progress is, in many cases, a rebranded form of extractivism—no longer just of raw materials, but of territorial data, ancestral knowledge, and behavioral patterns.
According to figures from the Inter-American Institute for Cooperation on Agriculture (IICA), over 60% of foreign direct investment in Argentine agriculture from 2022 to 2024 was directed toward precision technologies, smart sensors, and climate prediction software—much of it developed by Latin American subsidiaries of companies based in California, Tel Aviv, or Shenzhen. These tools do more than gather data: they dictate what to plant, when, with what inputs, and for whom, effectively displacing both local knowledge and political agency.
In southern Bolivia, the Argentine Pampas, and the Chilean altiplano, new “tech assistance” agreements—signed with provincial governments and agricultural cooperatives—include clauses mandating real-time sharing of sensitive data with private vendors. Many of these vendors operate under opaque legal frameworks or are registered in tax havens. What used to be land disputes are now battles for algorithmic sovereignty.
Experts consulted by Phoenix24 warn that the dominant model is designing “smart territories” not as inclusive, community-centered innovations, but as automated control zones, seamlessly integrated into global supply chains and protected by private cybersecurity infrastructure. In several Argentine provinces—such as Jujuy and San Luis—flood prediction systems and wildfire detection networks are already managed by public-private consortiums that are not always accountable to local authorities or open to independent audits.
The paradox is that many of these technologies were introduced through international cooperation frameworks or multilateral development programs in the name of “sustainability.” In practice, however, they have deepened new forms of technological dependence. As noted in the latest report by the Brazilian Center for Strategic Studies, the spread of rural AI in Latin America is not regulated by regional governance, but by imported standards, closed-source APIs, and licensing contracts drafted offshore. The countryside is no longer negotiated through ballots—it is adjudicated by data.
Most troubling is not the privatization of agricultural knowledge, but the symbolic erasure of the rural subject. Communities do not appear on dashboards or in predictive simulations. Their knowledge is extracted, translated into code, and then discarded. Often, those who generate the data have no access to it. Thus, an invisible extractive chainemerges—one in which algorithms replace labor and decisions are decentralized without oversight or accountability.
Argentina in 2025—with its cocktail of economic crisis, deregulation, foreign capital influx, and technocratic fascination—has become a laboratory of algorithmic rural governance. But what happens there is not isolated—it is a global pilot project. Companies tied to genetically edited crops, agricultural tokens, and automated climate insurance are already using these territories as testbeds for financial products that will later be exported to Africa and Southeast Asia.
This new extractivism doesn’t require tractors—it needs API access. It doesn’t need fences—it relies on NDAs. And it doesn’t require blood, because it has turned land into data and data into power.
The invisible farmers haven’t disappeared—they’ve been abstracted from the operating system that defines what counts and what doesn’t. And if the future of agriculture is built without them, it will be neither just nor sustainable. It will be merely another polished version of dispossession—this time, in the name of progress.
Luciana Almada, investigative journalist and Southern Cone analyst at Phoenix24, during a field report in high-stakes extractive zones of northwestern Argentina. Her work bridges territorial intelligence, technological sovereignty, and the silent conflicts between AI, rural life, and global power.