Fully Automated Luxury Communism (FALC) is a socio-political and economic concept that envisions a future where advanced technology and automation have reached a level that allows for the abundant production of goods and services, meeting the needs of everyone in society. The term combines elements of automation, luxury, and communism.
Fully Automated Luxury Communism: A Manifesto is a book by Aaron Bastani first published by Verso Books in 2019. It argues that technology can be used to create a post-scarcity economy of widespread prosperity.
Post-scarcity is a theoretical economic situation in which most goods can be produced in great abundance with minimal human labor needed, so that they become available to all very cheaply or even freely.
Post-scarcity does not mean that scarcity has been eliminated for all goods and services but that all people can easily have their basic survival needs met along with some significant proportion of their desires for goods and services. Writers on the topic often emphasize that some commodities will remain scarce in a post-scarcity society
The video “AGI-Proof Jobs: Navigating the Impending Obsolescence of Human Labor in the Age of AGI,” we delves into the inevitable rise of artificial general intelligence (AGI) and its impact on human labor. David Shapiro explores the looming obsolescence of traditional jobs and identifies occupations resistant to automation. He discusses the economic paradigm shift, envisioning a future where AGI surpasses humans in intellect, ethics, creativity, and physical capabilities.
Shapiro highlights that despite AGI’s advancement, certain jobs will persist due to human preferences for authenticity, emotional resonance, and intangible values. He identifies sectors like food and hospitality, healthcare, therapy, art, craftsmanship, journalism, childcare, intense outdoor experiences, and certain governmental roles as areas where human involvement will endure.
The key idea centers on distinguishing between jobs that retain value due to their emotional or human-centric nature and those that should phase out to prioritize safety and rights, given the potential superiority of machines in various tasks. The discussion emphasizes the evolving nature of labor, foreseeing a future where the essence of human presence and authenticity holds value despite the rise of AGI.
In this video we revolves around a discussion led by David Shapiro about the IMF (International Monetary Fund) report on Artificial General Intelligence (AGI) and its potential impact on jobs. Shapiro explains the concept of the “Frontier of Automation,” highlighting how machines’ capabilities in handling complex tasks—both mechanical and cognitive—are rapidly increasing due to advancements in AI. He discusses the inevitability of AI encroaching upon and eventually surpassing human task complexities, leading to the potential obsolescence of various job sectors.
Shapiro outlines two potential scenarios: a bounded distribution of human task complexity and an unbounded distribution. He leans towards the likelihood of human task complexity being bounded, suggesting that even exceptional individuals like Einstein or Tesla are scarce compared to the potential capabilities of machines. He also presents three possible timelines: business as usual, a 20-year baseline where most human tasks are automated within two decades, and a more aggressive timeline of five years for automation to reach its peak.
He delves into the challenges of integrating AI into regulated industries like law and medicine, where human performance standards act as a barrier to AI adoption. Shapiro anticipates that certain jobs, particularly those in forgiving or less regulated sectors, are more susceptible to automation. He emphasizes the exponential growth in automation’s capabilities and its potential impact on productivity versus human wages, projecting a potential spike in productivity but a decline or stagnation in human wages.
Shapiro concludes by suggesting certain job categories, like experience-based roles (tour guides, performing artists), care jobs (nursing, childcare), and some specialized positions, might persist even in an era of advanced automation.
Key Ideas:
- The “Frontier of Automation” concept: Machines’ increasing capability to handle complex tasks, leading to potential job obsolescence.
- Human task complexity likely has limits compared to AI capabilities, making most humans potentially outpaced by machines.
- Three possible timelines: business as usual, a 20-year baseline for extensive automation, and a more aggressive 5-year timeline for significant automation.
- Challenges in integrating AI into regulated industries due to human performance standards.
- Expectation of exponential growth in automation’s impact on productivity versus potential stagnation or decline in human wages.
- Prediction of certain job categories persisting despite advanced automation, such as experience-based, care jobs, and some specialized roles.