Boeing’s Associate Technical Fellow analyzes the convergence of artificial intelligence and cryptocurrency, examining developments from Turing’s early work and Bitcoin’s genesis block. The essay explores machine learning–driven trading, blockchain-powered data marketplaces, and decentralized AI services, highlighting how AI enhances market predictions while distributed ledgers secure AI data.

Key points

• AI-driven trading strategies leverage real-time sentiment analysis of social media and news to forecast cryptocurrency price movements.
• Blockchain-based data marketplaces use immutable ledgers and smart contracts to secure and monetize data for AI model training.
• Token-incentivized computing networks allocate distributed GPU resources for federated learning, reducing costs and fostering open collaboration.