SECTION 1: LEARNING OBJECTIVES

┌─────────────────────────────────────────────────────────────────────────────┐
│                    KEY TRENDS SHAPING THE NEXT DECADE                       │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    TECHNOLOGICAL ADVANCEMENTS                       │   │
│  │  • AI and ML integration                                             │   │
│  │  • Quantum computing maturity                                        │   │
│  │  • IoT and edge computing                                            │   │
│  │  • 5G and network evolution                                          │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    REGULATORY EVOLUTION                             │   │
│  │  • Global regulatory frameworks                                    │   │
│  │  • CBDC adoption                                                     │   │
│  │  • Institutional integration                                        │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    MARKET DYNAMICS                                  │   │
│  │  • Institutional adoption                                           │   │
│  │  • Retail participation                                              │   │
│  │  • Market maturity                                                  │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    SOCIAL & ENVIRONMENTAL                          │   │
│  │  • Sustainability focus                                             │   │
│  │  • Financial inclusion                                              │   │
│  │  • Changing demographics                                            │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                    SCENARIO MATRIX                                           │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  High Regulation │  Scenario 1: Regulated Convergence  │  Scenario 4:         │
│                   │  • Institutional adoption          │  Regulated          │
│                   │  • CeFi/DeFi hybrid                │  Innovation         │
│                   │  • High compliance costs           │  • DeFi with        │
│                   │  • Stable growth                   │    compliance      │
│                   │                                   │  • Progressive      │
│                   │                                   │  • Innovation-      │
│                   │                                   │    friendly        │
│  ────────────────┼───────────────────────────────────┼───────────────────│
│                   │                                   │                    │
│  Low Regulation   │  Scenario 2: Decentralised        │  Scenario 3:       │
│                   │  Frontier                         │  Wild West        │
│                   │  • Full DeFi adoption             │  • Unregulated     │
│                   │  • Permissionless innovation      │  • High risk       │
│                   │  • High volatility                │  • Market cycles   │
│                   │                                   │  • Fraud and       │
│                   │                                   │    scams           │
│                   │                                   │                    │
│  ────────────────┼───────────────────────────────────┼───────────────────│
│                   │  Low Technology Maturity          │ High Technology   │
│                   │                                   │ Maturity          │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

# ===================================================================
# MODULE 8, LESSON 8: THE NEXT DECADE – PREDICTIONS AND SCENARIOS
# ===================================================================

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from typing import Dict, List
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("THE NEXT DECADE – PREDICTIONS AND SCENARIOS")
print("="*70)

# ----------------------------------------------------------------
# PART A: SCENARIO ANALYSIS
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Scenario Analysis Framework")
print("-"*60)

class ScenarioAnalyzer:
    """
    Analyses different future scenarios.
    """
    def __init__(self):
        self.scenarios = {}
    
    def add_scenario(self, name: str, factors: Dict, likelihood: float):
        self.scenarios[name] = {
            'factors': factors,
            'likelihood': likelihood
        }
    
    def analyse(self) -> pd.DataFrame:
        data = []
        for name, details in self.scenarios.items():
            data.append({
                'Scenario': name,
                'Likelihood': f"{details['likelihood']:.1%}",
                'Factors': ', '.join([f"{k}: {v}" for k, v in details['factors'].items()])
            })
        return pd.DataFrame(data)

# Create scenarios
analyzer = ScenarioAnalyzer()

analyzer.add_scenario(
    'Regulated Convergence',
    {'Regulation': 'High', 'Technology': 'High', 'Adoption': 'High', 'Growth': 'Stable'},
    0.40
)

analyzer.add_scenario(
    'Decentralised Frontier',
    {'Regulation': 'Low', 'Technology': 'High', 'Adoption': 'High', 'Growth': 'Volatile'},
    0.25
)

analyzer.add_scenario(
    'Wild West',
    {'Regulation': 'Low', 'Technology': 'Medium', 'Adoption': 'Medium', 'Growth': 'Unstable'},
    0.10
)

analyzer.add_scenario(
    'Regulated Innovation',
    {'Regulation': 'Medium', 'Technology': 'High', 'Adoption': 'High', 'Growth': 'Sustainable'},
    0.25
)

print("Scenario Analysis:")
print(analyzer.analyse().to_string(index=False))

# ----------------------------------------------------------------
# PART B: PREDICTIONS DASHBOARD
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: Predictions Dashboard (2025-2035)")
print("-"*60)

predictions_data = {
    'Category': ['Technology', 'Technology', 'Technology', 'Market', 'Market', 'Market', 'Regulatory', 'Regulatory'],
    'Prediction': [
        'Post-Quantum Cryptography adopted',
        'AI-powered DeFi protocols',
        'Cross-chain interoperability mature',
        'Crypto market cap exceeds $10T',
        'Tokenised assets exceed $5T',
        'DeFi TVL exceeds $1T',
        'Global regulatory framework established',
        'Stablecoin regulation comprehensive'
    ],
    'Likelihood (1-10)': [8, 9, 8, 7, 8, 9, 6, 9],
    'Timeline': ['2027-2035', '2025-2030', '2025-2030', '2027-2030', '2028-2032', '2026-2029', '2028-2032', '2025-2027']
}

predictions_df = pd.DataFrame(predictions_data)
print(predictions_df.to_string(index=False))

# Visualise
fig, ax = plt.subplots(figsize=(12, 6))
x = np.arange(len(predictions_data['Prediction']))
colors = ['blue' if c == 'Technology' else 'green' if c == 'Market' else 'orange' for c in predictions_data['Category']]

ax.barh(x, predictions_data['Likelihood (1-10)'], color=colors, alpha=0.7)
ax.set_yticks(x)
ax.set_yticklabels(predictions_data['Prediction'], fontsize=8)
ax.set_xlabel('Likelihood (1-10)')
ax.set_title('Key Predictions for 2025-2035')
ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig('predictions_dashboard.png', dpi=300, bbox_inches='tight')
plt.show()
print("Predictions dashboard saved as 'predictions_dashboard.png'")

# ----------------------------------------------------------------
# PART C: TIMELINE OF KEY EVENTS
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Timeline of Key Events (2025-2035)")
print("-"*60)

events_timeline = {
    'Year': ['2025', '2026', '2027', '2028', '2029', '2030', '2031', '2032', '2033', '2034', '2035'],
    'Technology': [
        'AI-DeFi integration',
        'ZKPs mainstream',
        'PQC standards',
        'Interoperability',
        'Quantum progress',
        'Advanced analytics',
        'Autonomous agents',
        'Quantum-resistant',
        'AI governance',
        'Post-quantum',
        'Full PQC adoption'
    ],
    'Market': [
        'Institutional growth',
        'Tokenisation',
        '$5T+ market',
        'DeFi maturity',
        'CeFi/DeFi hybrid',
        'Mainstream adoption',
        '$10T+ market',
        'Asset tokenisation',
        'Deep liquidity',
        'Global integration',
        'Digital asset maturity'
    ],
    'Regulatory': [
        'MiCA full',
        'Global stablecoin',
        'DeFi regulation',
        'Global standards',
        'CBDC expansion',
        'Regulatory clarity',
        'Harmonisation',
        'International',
        'Mature frameworks',
        'Global convergence',
        'Regulatory integration'
    ]
}

events_df = pd.DataFrame(events_timeline)
print(events_df.to_string(index=False))

# ----------------------------------------------------------------
# PART D: PREPARATION STRATEGIES
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Preparation Strategies for the Next Decade")
print("-"*60)

preparation = {
    "Personal Development": [
        "Develop blockchain and digital finance expertise",
        "Build a professional network",
        "Stay updated on emerging technologies",
        "Develop skills in AI and data science",
        "Understand regulatory and legal frameworks"
    ],
    "Professional Strategy": [
        "Identify high-growth opportunities",
        "Diversify across sectors and geographies",
        "Build partnerships and collaborations",
        "Invest in innovation and R&D",
        "Develop compliance capabilities"
    ],
    "Investment Strategy": [
        "Diversify across asset classes",
        "Consider long-term holding strategies",
        "Monitor market cycles and opportunities",
        "Use dollar-cost averaging",
        "Maintain risk management discipline"
    ]
}

for category, strategies in preparation.items():
    print(f"\n{category.upper()}:")
    for strategy in strategies:
        print(f"  • {strategy}")

# ----------------------------------------------------------------
# PART E: SUMMARY AND FINAL THOUGHTS
# -----------------------------------------------------------------

print("\n" + "="*70)
print("PART E: Summary and Final Thoughts")
print("="*70)

print("""
The Next Decade – Key Takeaways:

1. Key trends: technology, regulation, market, social, environment.
2. Four scenarios: Regulated Convergence, Decentralised Frontier, Wild West, Regulated Innovation.
3. Likely scenario: Regulated Convergence or Regulated Innovation.
4. Technology predictions: PQC, AI-DeFi, cross-chain interoperability.
5. Market predictions: $10T+ market cap, $5T+ tokenised assets.
6. Regulatory predictions: global frameworks, DeFi regulation, stablecoin regulation.

The Future of Blockchain and Digital Finance:

The next decade will be transformative. Blockchain technology will move from early adoption to mainstream integration, with DeFi, tokenisation, and digital identity becoming central to the global financial system. Key drivers include:

• Regulatory clarity enabling institutional participation
• Technological advances in AI, quantum, and cryptography
• Growing demand for transparency, efficiency, and inclusion
• Sustainable and responsible innovation

Success in this evolving landscape requires:
• Continuous learning and adaptation
• Strategic positioning
• Risk-aware decision-making
• Ethical and responsible innovation