Fintech and the New World Order - Special Episode 41

• Historical evolution of fintech: Fintech 1.0 foundations; Fintech 2.0 bank-led digital shift; Fintech 3.0 startup disruption; Fintech 3.5 globalization

• AI and Machine Learning applications in personalization, risk scoring, fraud detection, algorithmic trading, and operational efficiency

• Blockchain and Distributed Ledger Technology: cryptocurrencies & digital assets; DeFi; smart contracts; cross-border payments; secure record-keeping

• Cloud computing infrastructure: cost reduction, scalability, rapid deployment, real-time processing

• Big data & analytics: customer insights, market trends, risk assessment, open finance/data sharing

• APIs and Banking-as-a-Service: open banking, embedded finance, platform integration

• IoT & Biometrics: connected devices for insurtech and POS; fingerprint/face recognition for secure payments

• Payments & transfers: digital/mobile wallets; mobile money (e.g., M-Pesa); cross-border solutions (Wise, Ripple); real-time payments (FedNow, UPI); B2B payments

• Lending & financing innovations: P2P/marketplace lending; balance-sheet lending; crowdfunding; BNPL; alternative credit scoring

• Wealthtech & investment: robo-advisors; online brokerages; micro-investing apps

• Insurtech: digital insurance platforms; usage-based insurance; AI-powered claims processing

• Regtech: compliance management; AML/KYC automation; AI-driven fraud detection

• Global market segments & regional dynamics: key hubs and strategies in North America, Europe, APAC, Latin America, Middle East & Africa

• Economic implications: impacts on traditional institutions, market efficiency, and financial inclusion

• Consumer impact: convenience; cost/time savings; personalization; transparency issues; data-exploitation risks

• Financial stability & systemic risk: rapid scaling in risky segments; operational vulnerabilities; cyber threats; cloud/provider concentration

• Ethical considerations: algorithmic bias; exclusion risks; data privacy and consent concerns

• Cybersecurity threat landscape: data breaches; ransomware; phishing & social engineering; third-party/supply-chain risks; insider threats; AI-driven attacks

• Security measures: encryption; multi-factor authentication; security audits & pen-testing; managed detection & response; employee training; secure development; vendor risk management

• Quantum computing threat & post-quantum cryptography: “harvest now, decrypt later” risk; PQC transition planning

• Geopolitical implications: US–China tech rivalry; alternative cross-border payment systems; financial fragmentation

• Central Bank Digital Currencies (CBDCs): e-CNY; digital dollar debate; cross-border pilots (mBridge, Agorá, Dunbar, Jura)

• Future market growth & tech trends (to 2030): AI integration; embedded finance/BaaS expansion; DeFi maturation; blockchain tokenization; cloud-native infrastructure

• Industry structure trends: consolidation & M&A; bank–fintech partnerships; Big Tech’s financial roles

• Regulatory landscape developments: Regtech growth; AI & data governance rules; crypto-asset frameworks (e.g., MiCA); G20 cross-border payments roadmap

• Future scenar