Artificial intelligence (AI) and cognition are deeply intertwined because both are concerned with how systems, whether biological or computational, perceive, reason, and act. This relationship was first articulated by Alan Turing in his seminal 1950 paper “Computing Machinery and Intelligence” (Turing, 1950), which proposed the now-famous Turing Test as a way of operationalising intelligent behaviour. At its core, AI works by using computational models, ranging from symbolic logic systems to modern deep-learning networks, to approximate cognitive functions such as pattern recognition, memory, language understanding, and decision-making, thereby offering both a scientific lens on human thought and a practical toolkit for augmenting it. Current trends, including large language models, hybrid neuro-symbolic architectures, and advances in cognitive modelling, continue to close the gap between machine inference and human-like reasoning (Russell & Norvig, 2021; Lake, Ullman, Tenenbaum & Gershman, 2017). This line of work holds meaningful value for personal wellbeing by providing tools for reflection, learning support, emotional assistance, and cognitive offloading, while also supporting societal health through improved education, fairer decision systems, and scalable mental-health resources. Like all resources, AI may be used for good or for ill. Christian psychology promotes the ethical use of AI in the service of humanity, recognising that all such ‘intelligent’ systems must remain subjugated to the control of godly leaders and systems if the greatest good is to be achieved.