Job-Less Utopia: Marcoeconomics in the Age of AGI
About this ebook
Artificial general intelligence and advanced robotics will automate virtually all cognitive and physical tasks within a single generation. The question is not whether this will happen, but what we do when it does.
Three dominant responses get it wrong: optimists who trust history to repeat, pessimists who equate job loss with collapse, and skeptics who deny the technology altogether. All three fixate on jobs rather than goods and services.
Job-Less Utopia argues for a fourth position: Post-Labor Prosperity. If machines produce the same or greater output, society's material wealth is undiminished. The real challenge is distribution, not production. Under adequate redistribution, mass unemployment is not a catastrophe: it is a liberation.
The book develops this case along thirteen theses spanning six domains:
* Economics: Near-zero marginal costs, self-replicating capital, and solving the land bottleneck.
* Employment: Why the historical pattern of compensating job creation will break, and why forcing full employment produces socially wasteful bullshit jobs.
* Welfare design: How multiple complementary tax instruments can finance guaranteed income, even cost-neutrally.
* Democracy: Why functioning democracies will self-correct toward redistribution as the displaced majority gains electoral power.
* Meaning: Why the "crisis of meaning" is a transient cultural artifact, neither a natural nor unresolvable human limitation.
* Geopolitics: How AI rentierism, trade asymmetries, and capital flight can be managed through proven policy tools.
Why this book is different: Nearly every individual idea here has appeared before. What is new is the systematic architecture: the first single-volume treatment integrating economics, welfare design, democratic stability, the question of meaning, and international coordination into one mutually reinforcing argument. The book includes a micro-level fiscal-feasibility proof, a Wittgensteinian property-cluster definition of "job," a three-phase UBI transition roadmap with pre-legislated automation triggers, and a new tax category: the bullshit tax. Extensively illustrated with 41 diagrams and 30 tables, and grounded in over 250 scholarly references.
Dr. Marcus Hutter is a polymath whose 35-year R&D career has ranged from medical software development to physics, mathematics, computer science, philosophy, and artificial intelligence. More recently his work has focused on AGI's economic, political, and social implications. He has been Professor at the Australian National University for most of his career.
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About the author
Marcus Hutter is Professor at the Australian National University (ANU) in Canberra, Australia (fulltime till 2019 and honorary since then). He is founder and chair of the ongoing Human Knowledge Compression Contest. He received a master's degree in computer science in 1992 from the University of Technology in Munich, Germany, a PhD in theoretical particle physics in 1996, and completed his Habilitation in 2003. He worked as an active software developer at startup BrainLAB for 4½ years, before (re)commencing his academic career in 2000 at the Artificial Intelligence (AI) institute IDSIA in Lugano, Switzerland, where he stayed for six years. Since 2000, he has mainly worked on fundamental questions in AI, resulting in over 200 peer-reviewed research publications and his first book “Universal Artificial Intelligence” (Springer, EATCS, 2005). He has served (as PC member, chair, organizer) for numerous conferences, and reviewed for all major conferences and journals. He has given numerous invited lectures and his work in AI and statistics was nominated for and received several awards (Lindley, Kurzweil, JAIR, UAI, AGI, Alignment, IJCAI).