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Financial services has long relied on robust governance models: Basel’s operational risk framework, MAS TRM guidelines, ECB supervisory expectations, MiFID’s… Read more
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Executive summary Two landmark usage datasets—NBER’s “How People Use ChatGPT” and Anthropic’s “Which Economic Tasks are Performed with AI?”—converge on… Read more
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By Dr Luke Soon Why Agentic AI Demands a New Security Lens AI agents are no longer prototypes hidden in… Read more
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By Dr. Luke Soon The Paradox We Face Artificial Intelligence is simultaneously our most promising lever for sustainability and our… Read more
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By Dr. Luke Soon Introduction: AI’s Unprecedented Diffusion As of November 23, 2025, the landscape of AI adoption continues to evolve rapidly, with new reports providingfresh insights into geographic, sectoral, and economic patterns. Building on the Anthropic Economic IndexReport (September 2025), which draws from over 1 million anonymized Claude.ai conversations and API trafficfrom August 4–11, 2025, this updated analysis integrates additional key reports released in late 2025. Theseinclude the McKinsey Global Survey on the State of AI (November 2025), PwC’s AI Predictions 2026 (October2025), the State of AI Report 2025 by Nathan Benaich and Ian Hogarth (October 2025), and the OECD AI PolicyObservatory Update (September 2025). These sources enrich our understanding by adding enterprise-levelsurveys, economic forecasts, research benchmarks, and policy perspectives—complementing Anthropic’s usagedata with broader surveys and projections.The McKinsey survey, based on responses from 1,500+ executives across industries, highlights acceleratingenterprise adoption and ROI. PwC’s predictions focus on job impacts and economic value, drawing from globalCEO surveys. The State of AI Report synthesizes research trends and industry shifts, while OECD emphasizespolicy and inequality. Together with Stanford’s AI Index 2025 and WEF’s Future of Jobs Report 2025 (alreadyreferenced), they reveal a consensus: AI drives productivity but risks deepening divides, with adoption surging20–40% year-over-year. Technological history is punctuated by waves of adoption that reshape the… Read more
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At its core, an AI agent is more than just a chatbot or a large language model (LLM) interface. An… Read more
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By Dr. Luke Soon Abstract Artificial Intelligence (AI) has diversified into multiple model families, each serving unique functions across industries.… Read more
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By Dr Luke Soon Over the past decade, AI governance has transitioned from aspirational guidelines to enforceable regulation at an… Read more
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As we stand here on September 18, 2025, with Artificial General Intelligence (AGI) no longer a distant dream but a… Read more
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Imagine a world where your deepest thoughts become mere commodities, traded by machines in an economy that views you as… Read more
Genesis: Human Experience in the Age of Artificial Intelligence | Synthesis: The Superintelligence Protocol 