AI Scaling Paradigm Shifts

Paradigm Selection Criteria#

1. Technical Factors

   • Problem domain characteristics
   • Data availability and quality
   • Computational resource constraints
   • Performance requirements and metrics

2. Business Considerations

   • Cost-benefit analysis
   • Time-to-market requirements
   • Competitive positioning
   • Risk tolerance and appetite

3. Strategic Alignment

   • Long-term vision compatibility
   • Core competency alignment
   • Partnership and ecosystem considerations
   • Regulatory and compliance requirements

Evaluation Methodologies#

1. Comparative Analysis

   • Head-to-head performance comparison
   • Resource efficiency measurement
   • Adaptability assessment
   • Long-term viability evaluation

2. Risk-Adjusted Returns

   • Expected benefits vs. risks
   • Investment horizon considerations
   • Diversification strategies
   • Exit planning and flexibility