Some evolutionary innovations may originate non-adaptively as exaptations, or pre-adaptations, which are by-products of other adaptive traits. Examples include feathers, which originated before they were used in flight, and lens crystallins, which are light-refracting proteins that originated as enzymes. The question of how often adaptive traits have non-adaptive origins has profound implications for evolutionary biology, but is difficult to address systematically. Here we consider this issue in metabolism, one of the most ancient biological systems that is central to all life. We analyse a metabolic trait of great adaptive importance: the ability of a metabolic reaction network to synthesize all biomass from a single source of carbon and energy. We use novel computational methods to sample randomly many metabolic networks that can sustain life on any given carbon source but contain an otherwise random set of known biochemical reactions. We show that when we require such networks to be viable on one particular carbon source, they are typically also viable on multiple other carbon sources that were not targets of selection. For example, viability on glucose may entail viability on up to 44 other sole carbon sources. Any one adaptation in these metabolic systems typically entails multiple potential exaptations. Metabolic systems thus contain a latent potential for evolutionary innovations with non-adaptive origins. Our observations suggest that many more metabolic traits may have non-adaptive origins than is appreciated at present. They also challenge our ability to distinguish adaptive from non-adaptive traits. include feathers, which originated before they adopted a role in flight 2 , and lens crystallins, light-refracting proteins that originated as enzymes 6 . The incidence of non-adaptive trait origins has profound implications for evolutionary biology, but it has thus far not been possible to study this incidence systematically. We here study it in metabolism, one of the most ancient biological systems that is central to all life. We analyse metabolic traits of great adaptive importance, the ability of a metabolic reaction network to synthesize all biomass from a single (sole) source of carbon and energy. We take advantage of novel computational methods to randomly sample many metabolic networks that can sustain life on any given carbon source, but that contain an otherwise random set of known biochemical reactions. We show that such random networks, required to be viable on one carbon source C, are typically also viable on multiple other carbon sources C new that were not targets of selection. For example, viability on glucose may entail viability on up to 44 other sole carbon sources. Any one adaptation in these metabolic systems typically entails multiple potential exaptations.Metabolic systems thus contain a latent potential for evolutionary innovations with non-adaptive origins. Our observations suggest that many more metabolic traits than currently appreciated may have non-adaptive origins. T...