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Artificial Intelligence (AI) is no longer the stuff of science fiction. From chatbots that handle customer service to algorithms optimizing logistics, AI-driven tools are enhancing efficiency across sectors. In manufacturing, robots equipped with machine‑vision systems can perform quality checks at millisecond speeds; in healthcare, AI models help radiologists detect anomalies in medical images earlier than ever.

But with automation comes disruption. A 2024 McKinsey report estimates that up to 30% of current work activities could be automated by 2030. While this shift will create new jobs—data scientists, AI ethicists, and machine-learning engineers—it will also phase out many routine roles. Preparing today’s workforce requires reskilling initiatives, lifelong learning programs, and a policy focus on social safety nets.