Artificial Intelligence, Deforestation and Climate Vulnerability in Pakistan

Iram Naseer Ahmad’s essay, “AI-Driven Resolves to Fight Deforestation: A Global Perspective to Pakistan’s Environmental Cataclysm,” is included in the edited volume Environmental Changes, Global Challenges and Livelihoods. A Multidisciplinary Approach, edited by Maria Elena Paniconi, Mariangela Masullo, Amanda Salvioni and Cristiana Turini, and published by Quodlibet in 2026.

The essay addresses Pakistan’s environmental crisis through a clear conceptual lens: deforestation is not merely a sectoral or technical issue, but a point of convergence between climate vulnerability, social fragility, environmental degradation and global inequality. Pakistan emerges as a particularly significant case for understanding the unequal geography of the climate crisis. Although the country has contributed only marginally to global emissions, it is exposed to some of the most dramatic effects of climate change: floods, droughts, rising temperatures, soil erosion, food insecurity, biodiversity loss and forced displacement.

Ahmad does not treat the environmental crisis as a purely natural phenomenon. Rather, she presents it as the outcome of historically layered processes. Industrial development, urban growth, infrastructural expansion, pressure on water resources and weak environmental regulation have all contributed to making Pakistan’s territory increasingly fragile. In this perspective, deforestation becomes the visible symptom of a deeper transformation: the weakening of the relationship between society, land, agriculture and ecological systems.

The most original aspect of the essay lies in its attempt to place artificial intelligence within this crisis. AI is not presented as a miraculous solution, but as a possible tool for coordination, prediction and adaptation. Ahmad explores how data-driven technologies, satellite images, sensors, climate models and monitoring systems can help address environmental processes whose scale and speed now exceed the capacity of traditional policy responses.

Artificial intelligence can make complex ecological dynamics more readable. It can help detect illegal deforestation, anticipate environmental risks, optimize irrigation, identify areas suitable for reforestation, improve agricultural management and support more resilient forms of land use. In this sense, AI becomes a cognitive infrastructure: a way of observing, interpreting and responding to environmental change.

The essay also pays attention to agroforestry, tree-based farming systems, organic fertilizers, drip irrigation, rainwater harvesting and urban reforestation. In all these fields, artificial intelligence is interpreted as a tool capable of connecting local knowledge, environmental data and agricultural practices. The goal is not to replace the experience of farmers or local communities, but to strengthen it in a context marked by water scarcity, climate instability and soil degradation.

From a Global History perspective, the essay is especially valuable because it shows how environmental technologies circulate within unequal relations of power. Pakistan is not simply described as a country that must import solutions from the Global North. Instead, it appears as a laboratory where global climate crisis, postcolonial fragilities, agricultural transformations, urbanization and digital infrastructures intersect.

This raises a crucial political question: who produces environmental data? Who controls technological infrastructures? Who decides which territories should be protected, reforested or transformed? And how can technological innovation avoid reproducing new forms of dependency?

The conceptual core of Ahmad’s essay can be summarized as follows: Pakistan’s environmental crisis is a crisis of ecological governability. Deforestation, water insecurity and agricultural decline are not isolated phenomena, but parts of a broader systemic transformation. Artificial intelligence may help societies observe and respond to this transformation more effectively, but its success depends on public policy, international cooperation, local knowledge and social responsibility.

The value of the essay lies in its ability to place technology within a broader reflection on sustainability. Artificial intelligence is not only a technical innovation; it is part of a new environmental grammar based on data, prevention, adaptation and cooperation. The Pakistani case shows that climate change does not affect all societies in the same way. It acts through unequal geographies, fragile economies and territories already marked by historical vulnerability.

For this reason, every technological response must also be political, social and ethical. Fighting deforestation is not simply a matter of planting trees. It requires a wider rethinking of the relationship between development, environment and knowledge. Technology can help build resilience, but only if it is embedded in a vision that recognizes the connections between ecological crisis, global inequality and collective responsibility.