Appendix B: All 64 Scenarios Detailed
Complete Scenario Analysis with Probabilities and Characteristics
This appendix provides comprehensive details for all 64 possible scenarios in our analysis, including probability rankings, key characteristics, and pathway descriptions.
Scenario Notation
Each scenario is represented as a 6-character string (e.g., “ABBABB”) where:
- Position 1: H1 (AI Progress) - A=High, B=Low
- Position 2: H2 (AGI Achievement) - A=Yes, B=No
- Position 3: H3 (Employment) - A=Complement, B=Displace
- Position 4: H4 (Safety) - A=Solved, B=Failed
- Position 5: H5 (Development Model) - A=Distributed, B=Centralized
- Position 6: H6 (Governance) - A=Democratic, B=Authoritarian
Top Tier Scenarios (>5% probability)
Rank 1: ABBABB - 11.59%
The Adaptive Integration Leader
Pathway: High AI progress with centralized but democratic development, safety focus, and managed employment transition.
Key Features:
- Rapid AI advancement (H1A)
- No AGI in timeframe (H2B)
- Employment displacement but managed (H3B)
- Safety systems work (H4A)
- Tech giants lead development (H5B)
- Democratic institutions adapt (H6A)
2025-2035 Evolution:
- 2025: Early AI capabilities demonstrate commercial viability
- 2027: Major tech platforms integrate AI across services
- 2029: Employment displacement begins but social programs expand
- 2031: Safety frameworks proven through successful incident management
- 2033: Democratic oversight of AI development strengthens
- 2035: Stable human-AI collaboration society emerges
Geographic Likelihood:
- US West Coast: Very High
- EU: High
- East Asia: Medium
- Global South: Medium
Rank 2: AABABB - 9.21%
The AGI-Accelerated Future
Pathway: Similar to ABBABB but with AGI achievement accelerating transformation.
Key Features:
- High AI progress leading to AGI (H1A, H2A)
- AGI creates massive productivity gains
- Employment heavily impacted but institutions adapt
- Strong safety measures prevent catastrophe
- Centralized AGI development
- Democratic governance of AGI systems
Critical Difference: AGI emergence around 2030-2032 accelerates all trends.
Rank 3: ABBABA - 5.84%
The Democratic Safety State
Pathway: High progress with distributed development but democratic governance.
Key Features:
- Rapid AI progress (H1A)
- Multiple developers compete (H5A)
- Strong democratic oversight (H6A)
- Employment adaptation through democratic process
- Safety prioritized through regulation
Rank 4: AABABA - 4.67%
The Democratic AGI Future
Pathway: AGI achieved under democratic, distributed development.
Key Features:
- AGI emerges from collaborative research (H2A, H5A)
- Democratic institutions control AGI deployment
- Shared benefits model
- Strong safety culture
Rank 5: ABBABM - 4.21%
The Mixed Governance Path
Pathway: High progress with mixed governance outcomes.
Key Features:
- Democratic institutions partially adapt
- Some authoritarian drift but not complete
- Centralized development with oversight
- Employment and safety challenges managed
Second Tier Scenarios (2-5% probability)
Rank 6: ABBBBB - 3.98%
The Dystopian Slide
Pathway: High progress leads to authoritarian centralized control.
Key Features:
- Rapid AI development (H1A)
- Safety failures create crises (H4B)
- Employment displacement without support (H3B)
- Crisis enables authoritarian response (H6B)
- Tech concentration accelerates (H5B)
Rank 7: AABBBB - 3.67%
The AGI Dystopia
Pathway: AGI emergence under authoritarian centralized control.
Key Features:
- AGI controlled by authoritarian systems
- Massive surveillance capabilities
- Employment rendered obsolete
- Democratic resistance suppressed
Rank 8: BAABAA - 3.45%
The Constrained Success
Pathway: Slower progress with distributed, democratic development.
Key Features:
- Deliberate AI limitation (H1B)
- Employment protection prioritized (H3A)
- Distributed innovation (H5A)
- Democratic values maintained (H6A)
- Human agency preserved
Rank 9: BABBAA - 3.12%
The Regulated Evolution
Pathway: Constrained progress with strong democratic oversight.
Key Features:
- Regulated AI development
- Employment transition managed
- Safety-first approach
- Democratic technology governance
Rank 10: BABABA - 2.89%
The Balanced Path
Pathway: Moderate constraints with distributed development.
Key Features:
- Balanced AI progress
- Human-centric policies
- Competitive but regulated markets
- Democratic innovation
Third Tier Scenarios (1-2% probability)
Rank 11-20: Regional and Transitional Scenarios
BABABB (2.67%): Constrained progress, centralized development, democratic governance ABAAAB (2.45%): High progress, complement employment, distributed, authoritarian ABABAB (2.23%): High progress, AGI, complement employment, distributed, authoritarian ABAAAA (2.11%): High progress, complement employment, distributed, democratic ABABAA (1.98%): High progress, AGI, complement employment, distributed, democratic BBABAA (1.87%): Low progress, AGI, complement employment, distributed, democratic BBBAAA (1.76%): Low progress, displaced employment, safety success, distributed, democratic BABBAB (1.65%): Low progress, AGI, displaced employment, safety success, centralized, authoritarian BABBBP (1.54%): Low progress, mixed employment outcomes BBABAB (1.43%): Low progress, AGI, complement employment, distributed, authoritarian
Fourth Tier Scenarios (0.5-1% probability)
Rank 21-40: Niche and Contradictory Scenarios
These scenarios represent either:
- Regional variations
- Temporary transitional states
- Contradictory combinations
- Specific institutional responses
Examples:
- AAAAAA (0.98%): Perfect progressive outcome - unlikely due to internal tensions
- BBBBBB (0.87%): Complete failure scenario - system collapse unlikely
- AABBAB (0.76%): AGI with employment complement - technical contradiction
- ABBBAB (0.65%): High progress leading to constrained development - logical inconsistency
Fifth Tier Scenarios (<0.5% probability)
Rank 41-64: Extreme and Impossible Scenarios
These represent:
- Logically inconsistent combinations
- Extreme outlier possibilities
- System breakdown scenarios
- Technically impossible states
Characteristics:
- Internal contradictions
- Unstable equilibria
- Transition scenarios only
- Historical interest mainly
Scenario Clustering Analysis
Progressive Integration Cluster (42% total)
Core Scenarios: ABBABB, AABABB, ABBABA, AABABA, ABBABM Characteristics: H1A + H6A + (H4A or H5B) Logic: Progress + Democracy + (Safety or Centralization)
Fragmented Disruption Cluster (31% total)
Core Scenarios: ABBBBB, AABBBB, ABBBBP, ABBBBA Characteristics: H1A + H6B + (H3B or H4B) Logic: Progress + Crisis → Authoritarianism
Constrained Evolution Cluster (27% total)
Core Scenarios: BAABAA, BABBAA, BABABA, BABBAB Characteristics: H1B + H6A + (H3A or H5A) Logic: Caution + Democracy + Human-centricity
Temporal Evolution Patterns
Early Stage Characteristics (2025-2030)
- Higher uncertainty across all scenarios
- More transitions between scenarios possible
- External shocks can shift trajectories significantly
Middle Stage (2030-2035)
- Scenarios begin crystallizing into clusters
- Path dependencies strengthen
- Fewer transitions possible
Late Stage (2035-2050)
- Scenarios locked into stable patterns
- Minor variations within clusters only
- System has found equilibrium
Geographic Distribution Patterns
United States
High probability: ABBABB, AABABB, ABBBBB Characteristics: High progress, centralized development Logic: Tech industry concentration, democratic traditions
European Union
High probability: ABBABA, AABABA, BAABAA Characteristics: Democratic governance, regulatory approach Logic: Strong institutions, precautionary principle
China
High probability: AABBBB, ABBBBB, ABBBBP Characteristics: Centralized development, authoritarian governance Logic: State-directed development, existing institutions
Global South
High probability: BABABA, BABBAA, BAABAA Characteristics: Constrained development, democratic aspiration Logic: Resource constraints, institutional development
Intervention Leverage by Scenario
High Leverage Scenarios (>5% probability)
These scenarios are worth significant intervention effort:
- ABBABB: Enhance safety systems, strengthen democracy
- AABABB: Prepare for AGI governance challenges
- ABBABA: Support distributed development
- AABABA: Enable democratic AGI governance
Medium Leverage Scenarios (2-5% probability)
Worth moderate intervention:
- ABBBBB: Prevent authoritarian capture
- BAABAA: Support constrained development
- BABBAA: Enable democratic technology governance
Low Leverage Scenarios (<2% probability)
Monitor but don’t optimize for:
- Most contradictory scenarios
- Extreme outliers
- Transitional states
Key Insights from Complete Analysis
1. Three Futures Dominate
Despite 64 possibilities, three clusters contain 80%+ of probability mass.
2. Democracy vs Authoritarianism Is Central
H6 (governance) appears in top scenarios, showing its critical importance.
3. Progress Is Assumed
H1A scenarios dominate top ranks, reflecting expected AI advancement.
4. Safety and Employment Are Crucial
H3 and H4 outcomes strongly influence cluster membership.
5. Development Model Shapes Everything
H5 (centralization) determines power distribution and governance outcomes.
6. AGI Accelerates Everything
H2A scenarios show faster, more extreme versions of H2B patterns.
Using This Analysis
For Strategic Planning
Focus resources on scenarios >2% probability. Plan for cluster-level outcomes rather than specific scenarios.
For Risk Management
Monitor indicators for negative scenarios (ABBBBB, AABBBB). Build resilience against cluster-wide risks.
For Opportunity Identification
Prepare for positive scenarios (ABBABB, AABABB). Create conditions that increase their probability.
For Policy Development
Design policies robust across scenarios within target clusters. Address cross-cluster risks.