Artificial intelligence (AI) technologies affect every domain and process within industry. Many solutions with different maturity levels have been created or are in development. With this paper we collect the initiatives within the domain of chemical science, add missing items, and bring these resources together into a common process model, based on artificial neural networks (ANN). We define ten building blocks, analyze their role within the architecture, and evaluate their impact to the current system. Finally we discuss the changes and the transition that is experienced by the lab worker and the chemist. This paper introduces autochemistry as a meme describing a self-improving research approach. With this we begin development and discussion of an exciting new area of scientific principles, that is changing the anthropocentric fundament of chemistry research into a technocentric one.
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