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Giants Like Google, Microsoft, Amazon, and Alibaba Bring AI to the Field and Form Alliances with Agribusiness, but the Advancement of Private Platforms May Widen the Gap Between Large Groups and Small Farmers, Who Face Rising Costs and Increasing Dependence
Technology giants like Google, Microsoft, Amazon, and Alibaba have been creating AI platforms and tools to operate throughout the food production chain. From seed selection to pesticide use, the promise is efficiency and accuracy.
But this advancement has environmental and political costs. Besides requiring a lot of energy and water, it may consolidate a model of agriculture increasingly dependent on expensive digital infrastructure and private services.
This is the warning from the study Head in the Cloud, released by IPES-Food, an independent international panel formed by researchers and experts in food systems. The document points out that new partnerships between Big Tech and large agribusiness corporations may further concentrate control of the food system.
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A farm in the Mexican desert has become so green that today it has rivers flowing year-round and even rain in the dry season, all thanks to a technique that transforms dead sand into fertile soil with manure, mountain microorganisms, and what farmers call the secret soil formula.
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Stable fly infestation frightens producers in Costa Rica, disrupts cattle routine, reduces milk, and puts vinasse at the center of rural controversy.
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China banned free grazing of goats and sheep in parts of the most eroded plateau on the planet and, along with terraces and thousands of dams, managed to green slopes that were dumping 1.6 billion tons of soil per year into the Yellow River, in one of the largest environmental recoveries in history.
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China suspended beef purchases from three Brazilian meatpacking plants of JBS, Prima Foods, and Frialto after finding a banned synthetic hormone in tests conducted on the meat, two days after reauthorizing three other plants that had been embargoed since last year.
Precision Agriculture: Useful Tool, Questionable Path
Sensors, satellites, drones, and massive data analysis drive what is known as precision agriculture. In theory, it helps produce more with less, adjusting irrigation, fertilizers, and pesticides to the specific conditions of each area.
The report does not reject technology or AI in the field. On the contrary, it recognizes that they can increase efficiency and reinforce resilience in the face of climate change.
The central point is different: who designs these solutions, what business model supports them, and what happens to farmers’ autonomy when decisions are mediated by algorithms and algorithms.
Digital Dependence and the Gap with the Global South
Advocates for digitalization say it will be crucial in a scenario of climate crisis, population growth in the Global South, and cuts in international cooperation investments. Nonetheless, IPES-Food states that innovation alone does not correct structural inequalities related to hunger.
According to the study, many systems become stuck on platforms controlled by large companies that store and process vast amounts of agricultural data. The consequence can be a technological “lock-in”: after investing in connected machines, software, and services, switching suppliers becomes difficult and expensive.
This trend may also widen the gap between countries in the North and the Global South, as well as deepen differences between large and small producers. Adoption often requires capital and access to digital infrastructure—something uneven around the world.
Data, Monocultures, and Bottom-Up Alternatives
One criticism of the report is that digitalization, within the industrial agriculture model of monocultures, may reinforce standardization. This tends to reduce diversity and elevate vulnerabilities, such as outbreaks of pests and diseases.
Nettie Wiebe, a farmer and member of IPES-Food, asserts that the narrative of the “robot-operated farm” ignores the knowledge accumulated in daily work. For her, when producers lose control over data and decisions, they also lose command over their own production.
The study also reminds us that alliances between technology and agribusiness have been around for years. It cites the purchase of Climate Corporation by Monsanto in 2013 (now part of Bayer) and highlights initiatives like Alibaba’s Chinese platform ET Agriculture Brain, focused on livestock management with real-time data. The report estimates that these agreements have driven billion-dollar investments, projected at US$ 11.67 billion in 2024.
At the same time, the text points out counterweights: farmers, local communities, and Indigenous peoples develop decentralized and diversity-focused solutions. In the Peruvian Andes, for example, initiatives preserve over a thousand local potato varieties, reinforcing food security and community autonomy.
In China, farmer seed networks bring rural communities and institutions together to protect traditional varieties. In Europe, countries like France and Belgium invest in training for maintenance and self-management, seeking to reduce dependence on expensive machines and services.
For panel experts, public policies should recognize and support farmer-led seed systems, seen as effective responses to the climate crisis and loss of biodiversity. The report observes that large organizations and governments have funded large-scale digital agriculture while local alternatives remain underfunded.
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