Artificial intelligence (AI) is no longer a future-facing technology sitting inside research labs. It is now being used in doctor’s offices, classrooms, factories, recycling plants, semiconductor research facilities and government departments. The real shift is not just that AI can generate text, images or code. The bigger change is that AI systems are now being connected to daily decision-making, physical infrastructure and professional workflows. That makes the technology more useful, but also more difficult to manage. Across industries, AI is being used to detect disease, support teachers, predict machine failures, sort waste, discover new semiconductor materials, analyse risk, automate service desks and assist with policy planning. At the same time, it is raising hard questions about bias, privacy, security, accountability and whether people can understand how an AI system reached its answer.