The Last Gasps of the Rent Seeking Class
6 hours ago
- #AI
- #Economy
- #Rent-Seeking
- The U.S. economy has built a rent-extraction layer exploiting human limitations over the past fifty years.
- AI, like Google Duplex, threatens traditional rent-seeking models by removing friction and inefficiencies.
- Third-party marketplaces and pricing adjustments are emerging as responses to AI-driven changes in industries like restaurant reservations.
- Historically, businesses like cable companies and insurance have profited from time asymmetries and added friction.
- AI acts as a great equalizer, reducing the advantage businesses gain from wasting consumers' time.
- Human-level AI is becoming accessible to the public, partly due to simple APIs and contributions from the Chinese state.
- The AI supply chain consists of five tiers: electricity, chip manufacturing, chip design/software, models, and applications.
- The model tier is a critical area of concern, with open-source models from China challenging closed-source, rent-seeking models from the U.S.
- Anthropic's call for industry coordination is seen as a last attempt to maintain a rent-seeking moat.
- Chinese models are viewed favorably as they aim to commoditize AI, contrasting with Western efforts to sustain rent-seeking.
- The collapse of the U.S. rent-seeking economy is seen as deserved, with hopes for swift reconstruction.
- Superhuman intelligence may change dynamics, but human-level AI is sufficient for current societal needs.
- The era of frustrating humans is ending, with AI models capable of passing the Turing Test and handling communications seamlessly.