We examine firms’ use of AI to help generate the language in their corporate disclosures. Employing state-of-the-art Large Language Models (LLMs) to detect and quantify AI-generated content in earnings conference calls during 2015-2024, we find that AI-powered disclosure is widespread and increasingly prevalent across firms and industries. AI-generated language exhibits relatively more positive sentiment and greater linguistic sophistication, yet it does not appear to help managers strategically mislead investors. Indeed, managers who have stronger incentives to opportunistically distort market perceptions tend to rely less on AI-generated text. We also find that AI-powered disclosure is associated with larger stock market responses to earnings releases, tighter bid-ask spreads, and smaller analyst forecast errors. These informational benefits are greater when the CEO has a personal linguistic style characterized by less clarity or more tonal inconsistency. The results from instrumental variables regressions suggest that the positive associations between AI-generated language and disclosure informativeness are causal. Overall, we conclude that AI is an important tool for enhancing the quality of corporate disclosures to market participants.