Major tech firms are finally acknowledging what many suspected—their AI systems struggle with accuracy at scale. One leading search engine is now assembling a dedicated team to tackle AI hallucination issues after multiple search result failures went public. The move signals growing pressure to maintain credibility as AI-powered answers become more prominent in everyday queries. It raises a critical question: if even the biggest players are wrestling with AI reliability, what does that mean for accuracy across the broader tech ecosystem? The investment in quality control teams hints at how challenging it remains to keep generative AI grounded in factual information.