US Senator Warren flags Nvidia-Slurm merger as symptom of unchecked AI consolidation, threatening innovation and democratic oversight

Indigenous epistemologies frame computational power as a shared inheritance, not a privatized commodity, contrasting with the Western corporate enclosure of AI infrastructure. Slurm’s acquisition by Nvidia would be viewed as a form of digital enclosure, akin to historical land grabs, where knowledge systems are commodified for profit. Traditional governance models, such as the Māori *kaitiakitanga* (guardianship), would demand participatory oversight over such mergers to prevent harm to collective well-being.

The merger echoes historical patterns of corporate consolidation, such as Standard Oil’s monopoly or AT&T’s near-total control of telecommunications, which ultimately required antitrust intervention. Each wave of tech monopolization (railroads, oil, telecoms, now AI) has followed a similar arc: unchecked growth, regulatory capture, and eventual public backlash. The Slurm-Nvidia deal represents the latest iteration of this cycle, where computational infrastructure—like railroads in the 19th century—becomes a choke point for entire economies.

In India, the state’s push for open-source AI (e.g., *Bhashini* for Indic languages) reflects a cultural preference for decentralized, multilingual access to technology, contrasting with Silicon Valley’s proprietary models. African digital sovereignty movements, such as the African Union’s *Digital Transformation Strategy*, prioritize local control over data and infrastructure to avoid neocolonial dependencies. These approaches highlight how non-Western frameworks could inform more equitable AI governance, yet remain marginalized in mainstream debates.

Research shows that AI model consolidation reduces diversity in computational approaches, increasing systemic risks like bias amplification and single points of failure. Studies on network effects in tech markets (e.g., *The Economics of Platforms*) demonstrate how dominant firms leverage acquisitions to suppress competition, harming innovation. The Slurm-Nvidia deal could exacerbate these effects, as Slurm’s specialized workloads (e.g., high-performance computing) become gatekept by a single actor, limiting scientific collaboration.

Artists and spiritual traditions have long critiqued the commodification of creativity, from the Surrealists’ rejection of capitalist art markets to Buddhist teachings on non-attachment to material outcomes. The Nvidia-Slurm merger could be seen as a literalization of this commodification, where even the tools of imagination (AI models) are enclosed for profit. Creative commons movements, such as *Copyleft*, offer spiritual and artistic alternatives to proprietary control, emphasizing collective ownership of cultural production.

Scenario modeling suggests that unchecked consolidation could lead to a bifurcated AI ecosystem: one dominated by a handful of corporations (e.g., Nvidia, Microsoft, Google) and another of open-source alternatives with limited resources. This could deepen global inequalities, as Global South nations lack access to proprietary models while facing algorithmic discrimination from Western-trained systems. Regulatory sandboxes and public AI labs (e.g., EU’s *AI Factories*) are potential countermeasures to prevent dystopian outcomes.

Marginalized communities, including Black and Indigenous activists, have long warned about the harms of unregulated AI, from predictive policing to facial recognition bias, yet their expertise is sidelined in tech policy debates. The Slurm-Nvidia merger risks exacerbating these harms by concentrating power in entities with poor track records on equity, such as Nvidia’s role in military AI contracts. Grassroots organizations like *Data for Black Lives* and *Indigenous AI Ethics* advocate for participatory design and data sovereignty, but their voices are excluded from high-level merger discussions.