The path to Artificial General Intelligence (AGI)—AI that can think, learn, and act independently—depends on key breakthroughs. While today’s AI excels in specialized tasks, it lacks true understanding, self-awareness, and adaptability. The next major advancements include self-supervised learning (allowing AI to learn with minimal data), causal reasoning (understanding cause and effect), and embodied AI (interacting with the physical world to develop intuition).

With these innovations, AI could transition from automation to true autonomy. Experts debate the timeline, with some predicting AGI within a few decades. However, challenges like ethical concerns, alignment with human values, and computational limits remain. The question is not just when AGI will emerge, but how we will ensure it benefits humanity.