Topic Guide
What Is Technological change?
Technological change is a subject covered in depth across 1 podcast episode in our database. Below you'll find key concepts, expert insights, and the top episodes to listen to — all distilled from hours of conversation by leading experts.
Key Concepts in Technological change
Consumptive capacity
This concept refers to the total amount of goods and services that humans are able or willing to consume. Friedberg discusses it in terms of a 'lower limit' (the human desire to consume more each year) and introduces the novel idea of an 'upper limit' that AI's extreme productivity might force us to confront, where production capability outstrips this capacity.
Knowledge work as a transitory phenomenon
Friedberg proposes that certain business models (like SaaS) and even entire categories of labor, specifically 'knowledge work,' might not be permanent fixtures of human history. He suggests they could be temporary phases that arose after the foundation of the internet or computing tools and may diminish or transform significantly with the advent of AI.
What Experts Say About Technological change
- 1.AI's unprecedented productivity gains could lead to a situation where the ability to produce goods and services exceeds humanity's capacity to consume them.
- 2.David Friedberg argues that while new tools historically made more things available at lower costs, AI's profound shift in leverage may break this traditional economic model.
- 3.The human drive to consume more each year, traditionally a baseline, now faces the possibility of an "upper limit" on consumptive capacity due to AI.
- 4.Friedberg posits that knowledge work, akin to SaaS businesses, may prove to be a "transitory phenomenon" existing solely between the advent of computing tools and the era of AI.
- 5.If knowledge workers achieve 100x productivity in higher-level creative roles due to AI, a critical question emerges regarding the existence of sufficient consumer demand for this massive output.
- 6.Traditional economic, productivity, and social models are vulnerable to breaking down if AI-driven production ultimately outstrips the world's consumptive capacity.