The Leverage Paradox in AI
16 days ago
- #Technology
- #AI
- #Productivity
- New technologies reduce effort for tasks but increase effort to stay competitive, especially with AI.
- John Maynard Keynes predicted a 15-hour workweek by the 21st century due to automation, but the opposite happened.
- The 'leverage paradox' explains how AI makes tasks easier but competition harder, requiring more work to stay ahead.
- AI has turned manual tasks into automated ones, but the competitive bar has risen, making it harder to stand out.
- The internet is flooded with 'AI slop'—low-quality, generic content produced quickly with AI tools.
- To succeed, one must go beyond AI's first draft, adding personal touches and effort to create unique, high-quality work.
- The 'Purple Cow' concept by Seth Godin is crucial—standing out requires being different, not just better.
- AI tools should be used for acceleration, not substitution, to maintain authenticity and quality.
- The real winners will be those who treat AI as a tool, refining and personalizing its outputs to create something original.
- The future may belong to ultra-niche markets, where indie hackers leverage AI to build scalable, unique solutions.