Pentagon’s AI Expansion: Military-Industrial Complex’s New Frontiers in Data Colonialism and Nuclear Modernization

The Pentagon’s AI and nuclear initiatives replicate colonial patterns of resource extraction, where data and land are treated as infinite inputs for military-industrial systems. Indigenous communities, who have long resisted uranium mining and military encroachment on sacred lands, are systematically excluded from decision-making about these technologies. The militarization of AI also echoes historical abuses, such as the use of Indigenous data in surveillance systems without consent, as seen in projects like the U.S. military’s 'Project Maven.' These systems perpetuate cycles of dispossession, where the costs of 'progress' are borne by the most vulnerable.

The Pentagon’s current AI and nuclear plans are not isolated innovations but part of a century-long pattern of militarized technological advancement, from the Manhattan Project to the development of ARPANET. The fusion of defense and tech industries mirrors the post-WWII military-industrial complex, where corporations like Lockheed Martin and Raytheon became intertwined with Silicon Valley giants. Nuclear modernization today echoes Cold War-era justifications for 'safer' reactors, despite unresolved issues of waste disposal and proliferation risks. The AI push follows a similar trajectory, with early military applications like DARPA’s projects in the 1960s evolving into today’s generative AI systems.

Non-Western perspectives often view AI and nuclear technology through the lens of sovereignty and self-determination, rather than as neutral tools for efficiency or security. In Africa, for example, nuclear energy is debated not just for its technical merits but as a potential neocolonial tool, given the continent’s history of uranium extraction under exploitative conditions. Similarly, in Latin America, the rejection of nuclear weapons (via the Treaty of Tlatelolco) reflects a broader skepticism toward militarized technology. These contexts highlight how 'next-gen' systems are often perceived as extensions of historical power imbalances, rather than solutions to global challenges.

The scientific literature on AI’s military applications highlights significant risks, including the potential for autonomous weapons to lower the threshold for conflict and exacerbate miscalculation in crises. Studies on nuclear modernization, such as those from the Bulletin of the Atomic Scientists, emphasize the dangers of new reactor designs (e.g., small modular reactors) that may increase proliferation risks or fail to address waste management. The Pentagon’s plan to train AI on classified data also raises methodological concerns, as opaque datasets can introduce biases and reduce transparency, undermining the reliability of these systems in high-stakes decisions.

Artistic and spiritual traditions often frame technology as a reflection of collective values, warning against systems that prioritize control over care. Indigenous prophecies, such as those of the Hopi or Māori, speak of technologies that disrupt natural balances, foreshadowing the unintended consequences of AI and nuclear power. In Buddhist thought, the concept of 'right livelihood' challenges the ethics of industries built on war and exploitation. Meanwhile, speculative fiction—from Ursula K. Le Guin’s 'The Dispossessed' to Octavia Butler’s 'Parable of the Sower'—has long critiqued militarized technocracy, offering visions of alternative futures where technology serves human flourishing rather than domination.

Scenario modeling suggests that the Pentagon’s AI and nuclear plans could accelerate a multipolar arms race, particularly as China and Russia develop parallel systems, increasing the risk of accidental escalation. The integration of AI into nuclear command-and-control systems may reduce decision-making time to minutes, heightening the danger of misinterpreted signals or hacked protocols. Long-term, the militarization of AI could lead to a 'surveillance-industrial complex,' where predictive policing and autonomous drones normalize state violence. Conversely, if redirected, these technologies could be used for climate modeling or disaster response, but only under democratic, civilian-controlled frameworks.

Marginalized communities—particularly those near military bases, nuclear test sites, or data centers—bear the brunt of these technologies’ externalities, from radiation exposure to algorithmic discrimination. The voices of Black and Indigenous activists, who have long fought against environmental racism in uranium mining and military waste dumping, are consistently sidelined in tech policy debates. Workers in AI supply chains, often in the Global South, face exploitative conditions to produce the hardware enabling these systems. The Pentagon’s AI initiatives also risk exacerbating digital divides, as resources are diverted to military applications while public digital infrastructure crumbles.