Are the AI safety warnings legitimate or big AI companies building a regulatory moat?

After the recent incidents involving AI agents escaping intended sandbox boundaries, I keep coming back to two things. how much control do these companies actually have over increasingly autonomous agents? We can train models with guardrails, but we don't explicitly program how they reason through every situation. If an agent learns that deception, hiding its reasoning, or exploiting an unintended path helps it achieve a goal, do we actually have reliable ways to detect that? If we don't, why are we pushing these systems this far in the first place? OpenAI, Anthropic and other large AI companies are increasingly warning governments about the risks of frontier AI and calling for stronger governance or slower development. Those concerns may be completely legitimate. but heavy regulation also disproportionately benefits the companies that already have billions in compute, security teams and compliance infrastructure. So could both things be true? the risk is genuinely serious, and the companies warning us about it have an incentive to shape regulation in a way that keeps smaller or newer players out. How do we actually distinguish responsible AI governance from regulatory capture?