This study examines the long-run determinants of sustainable wealth accumulation (SWA) in the United States (U.S.) over the period from 1990 to 2023 by using the adjusted net savings as a direct measure of national wealth sustainability. Unlike prior literature that primarily relies on indirect environmental proxies, this study develops an integrated empirical framework through incorporating green technology innovation for environmental management (GTIEM), natural resource rents (NRR), industrial value creation (INV), information and communication technology investment growth (ICTIG), and GDP per capita (GDPC). It compares their long-run associations with adjusted net savings to reflect sustainable wealth accumulation of the country. In methodology, the study employs autoregressive distributed lag (ARDL) and estimates the dynamic relationships among them. It also integrates with the fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regression (CCR) estimators, along with the Toda-Yamamoto causality test. The main ARDL long-run results suggest that GTIEM and INV significantly associate with positive contributions in SWA, while NRR significantly associates with negative contributions in SWA. Contrarily, ICTIG and GDPC remain statistically insignificant to the context. The robustness tests support these outcomes, and the causality test indicates several predictive directions of the relationships. Overall, these outcomes are vital for federal policymakers to emphasize targeting policies to facilitate the enhancement of adjusted net savings and ensure sustainable wealth accumulation in the country in the long run.