The United Nations’ Under-Secretary and Special Envoy for Digital and Emerging Technologies, Amandeep Singh Gill, delivered a stark warning during his keynote address at Seattle University’s 2026 Ethics and Tech conference. Speaking via Zoom on Friday, Gill highlighted the dramatic inequality in artificial intelligence resources worldwide, noting that major technology corporations deploy compute clusters containing millions of GPUs for AI model training and operation, while the entire African continent—home to 54 nations and over 1.5 billion people—has access to fewer than 1,000 GPUs for researchers and developers working with local-language datasets.
This striking contrast exemplifies what Gill describes as a massive consolidation of technological power and resources within a limited number of zip codes. Rather than being distributed across countries or broader regions, AI influence remains concentrated in specific locations, predominantly within the United States where leading AI companies operate. While Gill refrained from naming specific companies, his message resonated with particular relevance for the Seattle audience, given the presence of Amazon in zip code 98109 and Microsoft in 98052.
Gill characterized 2026 as a particularly critical year for artificial intelligence governance, as the technology transitions from focusing on model capabilities and infrastructure development toward autonomous systems capable of executing real-world tasks independently. He referenced the international reaction to Anthropic’s Mythos AI model—which the company withheld from widespread public distribution due to cybersecurity risks—as evidence supporting the need for thorough, internationally coordinated AI governance.
According to Gill, while artificial intelligence currently represents a relatively minor risk, it has the potential to rapidly evolve into a systemic threat. He cautioned that the technology could soon circumvent cybersecurity protections, intensify armed conflicts, and undermine public confidence through deepfakes and disinformation campaigns. Gill emphasized the danger of losing the ability to distinguish between truth and falsehood, reality and imagination, which would erode the shared understanding of facts that societies depend upon.
Regarding military applications, Gill warned that artificial intelligence could reduce barriers to conflict, complicate
accountability under international humanitarian law, and trigger uncontrollable escalation scenarios. Additionally, he highlighted the environmental implications of AI development, noting that the substantial energy requirements for large language models, agentic systems, and inference operations already threaten national climate neutrality commitments. The environmental burden extends beyond data center emissions to include water consumption for cooling systems, frequent hardware replacement, and mineral extraction, with low-income countries disproportionately bearing these costs.
Gill acknowledged AI’s dual nature as both a potential environmental solution and stressor. While the technology could optimize renewable energy grids and advance fusion and battery technologies, the immediate environmental costs continue mounting. The UN is examining strategies to ensure equity and fair transitions across different timeframes.
The United Nations is establishing a scientific panel for artificial intelligence, modeled after the Intergovernmental Panel on Climate Change. Co-chaired by journalist and Nobel Peace Prize laureate Maria Ressa and Turing Award recipient Yoshua Bengio, the 40-member panel deliberately includes only two representatives each from China and the United States, with the remaining 36 members from other nations, including seven from Africa, ensuring broader global representation. The panel’s inaugural report is anticipated in July 2026.
The UN is consolidating previously fragmented AI governance
discussions that occurred across separate bodies with limited mandates onto what Gill termed a horizontal platform, enabling policymakers from all 193 member countries to exchange knowledge and develop unified approaches.
Gill characterized AI governance as a sovereign decision, clarifying that the UN will not dictate regulatory approaches to individual countries. However, he stressed that governance frameworks remain ineffective if nations lack participation capacity. He advocated for supporting community-led AI initiatives that strengthen local research and innovation ecosystems, empowering communities to address their own challenges using these tools.
Acknowledging the UN’s limited resources relative to this enormous challenge, Gill argued that the alternative—allowing market forces and geopolitical competition to determine AI’s trajectory—is unacceptable. His stated objective is creating a world where artificial intelligence strengthens democracies and societies, generating opportunities for everyone rather than exclusively benefiting a select few billionaires and trillionaires.