AI-readable disclosures are 10-Ks, 10-Qs, and corporate filings drafted so AI engines can extract claims, numbers, and risk factors cleanly. Six drafting principles, Retrieval Risk, Entity Drift, and the MD&A as narrative anchor.
Earnings calls are no longer just quarterly events; they have become a permanent input for AI systems. This article explores how the structured nature of earnings call transcripts feeds major AI engines, influencing corporate messaging, legal protections, and a company's "Entity Authority" or "Entity Drift." It also discusses the challenges of "Retrieval Risk" and "forward-looking persistence" in AI summarization, offering insights into how companies can adapt their communication strategies for the AI era to achieve "Citation Dominance."
AI engines now summarize every public filing, every earnings call, every press release. When the summary misreads the numbers — "Entity Drift" in the new vocabulary — investor relations carries the cost. Why CFOs need to monitor what the machines are saying about them, and what the early defensive playbook looks like in 2026.
ChatGPT reads your earnings call. It cuts the caveats. The optimism asymmetry between AI summaries and the actual disclosure — and the credibility tax that follows.
