This article explores the profound socio-economic trajectories of Artificial Intelligence (AI) as it reshapes global techno-economic paradigms toward the 2050 and 2100 horizons. Author Dr. Ros Sayumphu outlines a critical tension between “AI Abundance”—marked by a potential USD 15.7 trillion economic boost by 2030, massive productivity gains, climate resilience, and medical breakthroughs—and “Digital Darwinism,” which threatens massive cognitive labor displacement, algorithmic bias, high environmental costs, and a “Next Great Divergence” between tech elites and developing nations. To mitigate the existential risks of societal collapse and ensure human-centric flourishing, the author argues that global stakeholders must proactively shift away from techno-solutionism. This requires a concerted effort to overhaul education toward human-AI augmentation, establish robust international governance like a “Compute Ledger Treaty,” bridge the digital infrastructure divide in the Global South, and transition toward circular, data-driven economies. Ultimately, the paper concludes that AI is a socio-political reflection of human choices, positioning the year 2100 as the definitive test of humanity’s capacity to equitably govern superintelligence for the common good.
Released: 31 August 2026Author: Alda Waddel, PhD Candidate
This paper explores the macroeconomic “AI displacement trap,” arguing that simultaneous global automation destroys the primary engine of economic demand by eliminating human wage income.…
Released: 26 July 2026Author: SAIDNATTAR Ryanna, Ph.D. Candidate in Science and Technology Policy
This examines how small states can navigate digital sovereignty within an AI landscape dominated by major powers like the United States and China. Rather than…
Released: 28 February 2026Author: MAY Thu, PhD in Computer Engineering
This article examines how Buddhist ethical principles can inform the development and governance of artificial intelligence. It argues that while AI is transforming sectors such…
Released: 19 February 2026Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This reflective essay explores how technological change reshapes the meaning of sovereignty, particularly for small nations navigating the AI era. Drawing on a multidisciplinary career…
Released: 11 February 2026Author: LIM Sengkhoun, MD, MHPE, International FAIMER Fellow
Effective use of generative AI (GenAI) requires transitioning from a “single-tool mindset” to a deliberate system that aligns task purposes with specific model capabilities, operational…
Released: 5 February 2026Author: ALDA Waddell, PhD Student
This paper critiques dominant AI ethics frameworks that focus on machines rather than the social and cultural contexts in which they operate. It argues that…