Disposable Software: The Trend 90% of People are Getting Wrong--The Hidden Costs We Need to Consider

The cost of software has shifted from expensive engineering to near-zero AI generation (2:35). This fundamentally changes the economics that supported Silicon Valley's venture capital model since the 1970s, where capital was exchanged for equity because building software required expensive engineering teams.

The term encompasses two distinct phenomena - throwaway software for personal use cases (vacation apps, dashboards) which democratizes software creation, and disposable features within enterprise products where companies ship constantly and harden only what sticks (5:45). These categories have fundamentally different implications.

Cursor's team used ChatGPT to build a web browser with 3 million lines of Rust code in one week using AI agents (3:50), compared to Google Chrome which took 2+ years and elite engineers for a beta. However, the demo still required human attention to specify, configure, coordinate, and potentially maintain the code.

Cursor's approach eliminates traditional product management rituals - no roadmaps, muddy roles between designers/PMs/engineers, shipping multiple times daily (8:15). This works because expensive software required planning to avoid building the wrong thing, but when software is disposable, you just build, ship, and iterate.