AI Reality Check: As AI adoption grows in 2026, several challenges are shaping how the technology evolves..Data Quality: AI systems still struggle with biased, incomplete, or low-quality data that affects outcomes..High Computing Costs: Training and running advanced AI models remains expensive and resource-intensive..Talent Shortage: Demand for skilled AI engineers and researchers continues to outpace supply globally..Ethical Concerns: Issues around bias, fairness, and responsible AI use remain unresolved at scale..Privacy Risks: Handling sensitive user data safely is a major challenge as AI systems grow more powerful..Regulation Gaps: Governments are racing to create AI laws while technology moves faster than policy..Model Transparency: Many AI systems still operate as black boxes, limiting trust and explainability..Security Threats: AI-powered cyberattacks and misuse pose serious risks to businesses and individuals..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp