Biased AI hiring tools triggered lawsuits, fines, and reputational damage costing companies millions.Poor training data caused AI models to fail, forcing fixes and project shutdowns.Chatbots hallucinated legal facts, misleading users, damaging trust, and exposing firms to lawsuits.Automated pricing AI offered absurd discounts, causing revenue losses and emergency system rollbacks.Overhyped AI healthcare projects burned billions after failing accuracy, adoption, and clinical expectations.Lack of human oversight let AI errors spread unchecked, multiplying financial compliance risks.Companies underestimated AI costs, overspending on infrastructure, consultants, and integrations without expected returns.Rushed AI deployments ignored ethics, bias, and safety, triggering regulatory scrutiny and penalties.Lesson learned: governance, quality data, and human checks essential to avoid AI failures.Read More Stories!.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp