<p>Traditional hospitality and corporate real-estate valuation frameworks generally treat the ecological setting of a nature-dependent asset as static, implicitly assuming that the surrounding ecosystem will indefinitely sustain the aesthetic and operational premium on which luxury demand depends. This study develops the AI-Driven Bio-Velocity Equilibrium Framework (BVEF), a quantitative architecture that translates localised biophysical degradation into the cash-flow, operating-margin and discount-rate terms that govern asset valuation. Ecosystem state is summarised by a normalised Bio-Velocity Index (BVI); its effect on demand is represented by an eco-elasticity that enters Total Revenue per Available Room (TRevPAR) multiplicatively, so that revenue declines asymptotically toward, but never below, zero as the ecosystem degrades. Operating profit is derived through a contribution-margin bridge, and a nonlinear Biodiversity Risk Discount (BRD) is injected into the discount rate applied to net operating income within a modified discounted-cash-flow (DCF) model. Using an illustrative, deterministic scenario for a 200-key ultra-luxury coastal resort, we show that a static appraisal can overstate enterprise value by approximately two-thirds a 66.78% collapse under central assumptions—with the result remaining within a 62–77% band across a plausible parameter space. The framework is positioned as a candidate execution layer for nature-related disclosure regimes such as the Taskforce on Nature-related Financial Disclosures (TNFD). We discuss its principal limitations, including its deterministic single-case design and its omission of the managerial flexibility that a real-options treatment would capture. The contribution is a structured, auditable method for pricing natural-capital dependency, offered as a robust proxy pending empirical validation rather than as a definitive measure.</p>