A growing number of fragrance companies are exploring artificial intelligence to replicate complex natural aromas, aiming to reduce reliance on wild-harvested plant materials. One such effort involves recreating compounds derived from Aquilaria trees, which produce resin used in high-end perfumes. When these trees are injured, they generate a dark, aromatic substance known as agarwood or oudh, a material prized for its scent and economic value. Overharvesting has led to significant declines in wild Aquilaria populations, prompting conservation concerns. Researchers suggest that AI models trained on chemical profiles could enable the synthesis of these compounds without requiring repeated tree extraction. However, some conservationists remain cautious, noting that technological solutions must be evaluated alongside ecological impacts and sustainable sourcing practices. The shift reflects broader industry interest in balancing innovation with environmental responsibility.