Our ability to simulate chemistry continues to rapidly progress, mostly powered by density functional theory (DFT). We are now able to simulate most organic reactions to high accuracy at moderate cost, which has made simulation a vital part of the chemical and material workflow for understanding chemistry and accelerating rational design. However, many difficult problems remain difficult to simulate, especially problems involving exotic quantum effects that will drive future technologies. Modern simulation techniques like quantum computers and machine learning can help with these problems, but current state-of-art cannot address realistic problems. This talk will cover recent developments in "ensemblisation" of DFT - a major generalisation of DFT that directly extends its success to excited states and thermal problems. Importantly, it also enables connections to other theoretical technologies like quantum computers and machine learning, enabling a DFT for (nearly) everything.