Moore’s Law impact on society
This meta model inverses Moore's Law towards human-centered AI-based tech solutions.
Moore's Law (implicit objective): max dT / dt where T(t) = technological capability (Moore’s Law driver) & d(t) = rate of change
Societal impact: - Humans adapt after the fact - Externalities are someone else’s problem
Moore’s Law optimizes machines.
Human-centered meta model: max W(t) where W(t) = societal well-being
Tech speed is bounded by human & institutional growth & Externalities are first-class constraints
1. Human-centered Technology
Tech advances while increasing human capability & dignity.
- Identify human problem (not tech novelty)
- Co-design with users
- Build tech that augments, not replaces
- Test for usability, accessibility & learning curve
- Iterate with feedback
2. Slow Tech & Degrowth
Optimize for well-being & resilience instead of speed & scale.
- Evaluate necessity of new tech
- Limit unnecessary automation
- Design for longevity & repair
- Regulate rollout speed
- Measure impact beyond GDP
3. Craftsman Principle (Skills amplifying Tech)
When tools improve, human skill rises with them.
- Pair tools with structured learning
- Encourage deliberate practice
- Reward mastery over speed
- Preserve institutional knowledge
- Continuously refine technique
4. Parallel Human scaling (Education & Institutions scale with Tech)
Prevent tech from outpacing human & institutional capacity.
- Anticipate tech shifts
- Update education & policy in parallel
- Reskill workforce continuously
- Adjust labor & social systems
- Monitor societal impact
The human-centered meta model optimizes civilization.
Using the following link you can access this sandbox SIPOC model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne SIPOC map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/Xnffcf7tL8A1vN2QDXFtAQUh/frontend