What if AI's biggest limitation isn't reasoning, but the inability to accumulate experience?

Everyone talks about reasoning, agents, and larger models. But the more I learn about AI systems, the more I think we're missing something fundamental: AI doesn't accumulate experience the way humans do. A senior engineer isn't valuable only because of raw intelligence. They're valuable because years of experience have shaped how they think. They're valuable because they've spent years building mental models, learning from failures, recognizing patterns, updating beliefs, and connecting knowledge across thousands of experiences. That accumulated experience becomes a competitive advantage. Modern AI systems are different. They can solve difficult problems, write code, and explain complex concepts, yet most of what they "know" remains largely fixed after training. New information is often handled through context windows, retrieval systems, databases, or retraining pipelines rather than being integrated into a continuously evolving understanding of the world. This creates an interesting question: Can intelligence continue to scale if experience doesn't? Humans become more useful over time because experience compounds. An AI that could reliably learn from interactions, update its worldview, resolve contradictions, remember what matters, forget what doesn't, and improve without catastrophic forgetting might represent a larger leap than another increase in parameter count. Maybe the next frontier isn't making AI smarter. Maybe it's making AI capable of growth. Do you think future breakthroughs will come primarily from better reasoning models, or from systems that can continuously learn from experience?