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AI is no longer just a technology advantage. It is now one of the biggest business risks leaders face. In this deep-dive video, I break down the Top 6 AI Risks Every Business Leader Must Address NOW — not from theory, but from real data, real frameworks, and real governance failures already impacting global organizations. Using the powerful King Midas analogy, this video explains why AI can feel like a blessing at first — faster decisions, lower costs, massive scale — but quickly turns into a curse when risk, bias, privacy failures, and regulatory exposure are ignored. 🔍 In this video, you’ll learn: Why AI risk is now a board-level leadership issue, not a tech problem. The 6 critical AI risk categories every CEO, CXO, and risk leader must understand. How AI risk shows up across the full lifecycle from data to deployment to monitoring. Why most organizations are adopting AI faster than they can govern it. How AI failures translate into legal liability, reputational damage, and loss of trust. 🧠 The 6 AI Risks Explained Clearly Data Risk Model Risk Decision Risk Operational Risk Compliance & Legal Risk Reputational & Ethical Risk ⚖️ Global AI Governance Frameworks Covered This video also explains how leading global frameworks are responding to AI risk, including: Risk-based AI regulation Practical AI risk management models Business-ready governance and audit structures Human-centered and values-driven AI design 📊 Why this matters now AI is already classified as a material business risk by global enterprises Most organizations admit they are not prepared for AI regulation AI-driven data leaks, bias, and misinformation are now among the top enterprise threats