This paper introduces a novel method for pileup subtraction in jet measurements at high luminosity colliders. The method is based on jet areas and is data-driven, not requiring Monte Carlo simulations. It can be applied to any infrared-safe jet algorithm and provides jet-by-jet corrections for pileup and underlying event effects. The method estimates the level of diffuse noise (ρ) in each event by taking the median of the ratio of jet transverse momentum to jet area. This ρ is then used to correct the jet transverse momentum by subtracting ρ times the jet area. The method is effective in various scenarios, including high-luminosity LHC collisions, Tevatron collisions, and heavy-ion collisions. It improves the resolution of jet measurements by removing the effects of pileup and underlying events. The method is validated using simulated data and shown to be effective in both high and low-luminosity environments. The approach is data-driven, parameter-free, and does not require Monte Carlo corrections. It is applicable to a wide range of jet algorithms and provides a reliable estimate of the uncertainty associated with the subtraction. The method is particularly effective in high-luminosity environments where pileup is significant, and it has been shown to improve the accuracy of jet measurements in various scenarios, including the reconstruction of top quark masses and the study of underlying events.This paper introduces a novel method for pileup subtraction in jet measurements at high luminosity colliders. The method is based on jet areas and is data-driven, not requiring Monte Carlo simulations. It can be applied to any infrared-safe jet algorithm and provides jet-by-jet corrections for pileup and underlying event effects. The method estimates the level of diffuse noise (ρ) in each event by taking the median of the ratio of jet transverse momentum to jet area. This ρ is then used to correct the jet transverse momentum by subtracting ρ times the jet area. The method is effective in various scenarios, including high-luminosity LHC collisions, Tevatron collisions, and heavy-ion collisions. It improves the resolution of jet measurements by removing the effects of pileup and underlying events. The method is validated using simulated data and shown to be effective in both high and low-luminosity environments. The approach is data-driven, parameter-free, and does not require Monte Carlo corrections. It is applicable to a wide range of jet algorithms and provides a reliable estimate of the uncertainty associated with the subtraction. The method is particularly effective in high-luminosity environments where pileup is significant, and it has been shown to improve the accuracy of jet measurements in various scenarios, including the reconstruction of top quark masses and the study of underlying events.