What every CEO should know about AI
Strategic use of generative AI falls into two areas. First, there is "amplification", doing the same task better (faster, cheaper or larger scale). Second, there is "transformation", new behaviors, markets and institutions. Leaders must recognize the opportunity or need for change and reorganize around a new baseline.
Strategic Application of AI
The “Amplify vs Transform” lens
- Amplification (same task, better): faster, cheaper, bigger scale
- Transformation (new task/category): new behaviors, markets, institutions
Technology Impact (first order effects)
Throughput & Efficiency (output per unit cost)
- More output per unit (labor, time, capital)
Speed & Latency: Time-to-result shrinks
Scale (Spatial & Volume): Reach more people / larger systems
Access & Inclusion: Lower barriers to entry
Coordination & Complexity: Larger, more interdependent systems become manageable
Fidelity & Precision: Better measurement, fewer errors
Optionality (New Possibilities): was impossible before
Substitution of Inputs: scarce vs abundant
- Replace scarce/expensive inputs with abundant ones
- labor → machines; expertise → software
Compression (Space / Time / Information)
Second-order effects (where disruption comes from)
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These matter more than the first-order gains:
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Reorganization of industries (e.g., streaming reshapes studios, not just distribution)
- Shift in skill premiums (what humans vs machines do)
- New intermediaries / removal of old ones (platforms vs middlemen)
- Network effects (value grows with users)
- Behavioral change (attention spans, social norms)
- Institutional lag (laws, education adapt slower than tech)
Evaluate any technology with 3 questions
1. What does it make cheaper/faster?
- → efficiency, speed, scale
2. What constraints does it remove?
- → access, coordination, substitution
3. What is now possible? (optionality)
- → entirely new categories/markets)
Summary
- Compresses constraints (time, distance, cost)
- Then reorganizes systems around the new baseline