AIF Insights No. 27 (2026) | Artificial Intelligence Has a Consumer Problem: The AI Consumer Crisis: De-Agrarianization, Labor Displacement, and the Demand Trap in Cambodia
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. Using Cambodia as a primary case study, the author shows that rapid de-agrarianization—caused by fragmented land, aging farmers, and changing social aspirations—permanently removes agriculture as a traditional fallback sector, leaving displaced workers without a reservation wage floor. This creates an inescapable macroeconomic collapse loop where lost wages trigger collapsed consumption, shrinking profits, evaporating tax bases, and ultimate state failure. To prevent this structural decline, the paper advocates for regionally and globally coordinated technology governance—such as an ASEAN Consumer Demand Protection Protocol—alongside national AI wealth funds and the preemptive redistribution of AI productivity gains to secure universal household dividends.
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…
Released: 17 January 2026Author: TANN Thangvansounary, LLB | HOUT Sreypich, LLB | SOM Hunchhengleang, LLB
This article examines the growing use of artificial intelligence in Cambodia and the urgent need to address ethical and privacy concerns that come with it.…