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Adji Bousso Dieng: AI Monopolies Threaten Africa's Digital Future
On October 17, 2026, Adji Bousso Dieng, an assistant professor at Princeton University, published an op-ed in Al Jazeera, arguing that the prevailing apocalyptic discourse surrounding Artificial Intelligence (AI) is being strategically leveraged by tech giants to protect their monopolies and stifle competition, rather than addressing immediate, tangible issues.
Dieng's analysis, reported by SenePlus, critiques the dominant narrative around AI, which she believes is overly focused on future, catastrophic scenarios like superintelligence bans, rather than current, pressing concerns such as job displacement, the energy consumption of data centers, automated disinformation, algorithmic discrimination, and military targeting. She specifically calls out high-profile figures and institutions, including Senator Bernie Sanders, the Vatican, and Hillary Clinton, for contributing to this fear. Dieng contends that this public panic is then exploited to concentrate power within a few large tech companies, effectively creating what she terms a "modern regime of digital colonization." Her core argument is that framing advanced AI as a "weapon of mass destruction" serves to justify restricting its development to a select few "trusted" actors, thereby undermining open-source alternatives and competition under the guise of "security."
This perspective is highly significant for legal practitioners, particularly those involved in competition law, intellectual property, data governance, and regulatory policy in the technology sector. Dieng's argument highlights a potential anti-competitive strategy disguised as a public safety concern, which could influence how governments and regulatory bodies approach AI legislation. If her analysis holds, future regulations might inadvertently entrench the market dominance of existing tech giants, limiting innovation and access for smaller players and developing economies. It also raises profound questions about the ethical implications of framing technological advancements in a way that primarily benefits specific commercial interests.
While the excerpt does not detail specific legal frameworks, Dieng's critique implicitly touches upon several areas. Competition law (antitrust) in jurisdictions like Senegal, which often draws from French legal traditions and ECOWAS frameworks, would be highly relevant, as it aims to prevent monopolies and promote fair competition. Discussions around data protection and algorithmic accountability, which are emerging globally, are also pertinent, given Dieng's mention of "algorithmic discrimination" as a current problem. The "security" narrative she challenges could also intersect with national security legislation or export controls on advanced technologies. The mention of "open source" models further brings intellectual property and licensing considerations into play, particularly regarding access and adaptation of technology.
Attorneys advising tech companies, startups, or regulatory bodies should closely monitor the evolving discourse around AI regulation, particularly arguments that link AI safety to market concentration. They should be prepared to analyze proposed legislation for potential anti-competitive effects or unintended consequences that could favor incumbents. Practitioners in competition law should scrutinize any industry-led initiatives or lobbying efforts that advocate for restrictive AI development frameworks, assessing whether these genuinely serve public safety or primarily protect market share. Furthermore, understanding the global debate, as articulated by Dieng, is crucial for advising clients on ethical AI development, open-source strategies, and navigating the complex interplay between innovation, regulation, and market dynamics.