It is argued that predictive systems must be understood as formative environments that shape attention, imagination, and desire through patterned repetition and the strategic management of salience.
Abstract
Contemporary theological engagement with artificial intelligence (AI) has been dominated by applied ethics, focusing on bias, surveillance, and governance. This approach often treats algorithms as external instruments subject to moral regulation. This article argues that predictive systems must be understood as formative environments that shape attention, imagination, and desire through patterned repetition and the strategic management of salience. Drawing on Thomas Aquinas’s account of
habitus and the doctrine of the invisibilis missio of the Holy Spirit
, I propose that certain algorithmic architectures function as rival ecologies of habituation. These systems pre-structure deliberation by compressing the temporal interval between stimulus and assent and reinforcing probabilistic continuity with the past. Against this extractive economy of attention, sanctification is interpreted not as self-optimisation but as the Spirit’s infusion of charity, which reorders love and restores the temporal spaciousness required for mature freedom. By situating AI theology within pneumatology rather than metaphysical speculation about machine agency, the article reframes the central question: not whether AI can think, but how predictive systems participate in the formation of human desire. It offers a Thomistic grammar for discerning the limits of prediction and articulating a theological account of freedom in an age of algorithmic mediation.
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