How are new technologies shaping human identity, responsibility, and the common good? Increasingly, such questions are being raised by religious leaders and theologians, most notably by Pope Leo in Magnifica humanitas, his recent encyclical on artificial intelligence and human dignity. Secular critics as well have rightly described this moment as shaped by a form of digital empire.
In this context, artificial intelligence has emerged as a new arena in which long-standing patterns of power and extraction are reasserting themselves. AI systems are developed by powerful institutions, trained on uneven datasets, and deployed in ways that often reinforce existing inequalities. What is being drawn into these systems today is not only labor or natural resources but knowledge itself—including its patterns as to whose stories are preserved, whose perspectives are made to appear objective, and whose ways of knowing are quietly marginalized. This dynamic is not unprecedented. It reflects a familiar imperial pattern now appearing in digital form.
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Yet critique alone, however necessary, is no longer sufficient. If religious communities and educational institutions stop at denunciation or rejection of AI, they risk leaving formation to the very systems they distrust. Artificial intelligence will continue to shape how people think, decide, and understand themselves—whether or not we engage it constructively. In reality, AI is already embedded in our everyday infrastructure: search engines, recommendation systems, navigation tools, and even familiar digital platforms such as Microsoft 365 and Zoom, which have quietly integrated AI assistants and other automated features into tools millions of people use every day. Avoiding a particular chatbot does not place us outside this ecosystem; it simply obscures the extent to which intelligent systems are already influencing how we gather information, weigh evidence, and form judgments.
The question, then, is not whether AI should be resisted or embraced, but whether communities of faith will assume responsibility for how human judgment, spirituality, moral imagination, and meaning-making are formed in its presence.
One way to take up that responsibility involves returning to one of the oldest theological images we have: creation as light spoken into being. Rather than treating AI as a problem to be solved or a future to be predicted, it asks what AI reveals about the human vocation—and what boundaries must be preserved if meaning, responsibility, and formation are to remain recognizably human.
In the biblical imagination, creation begins with speech. God speaks, and what is spoken comes into being: “Let there light—Light there was” (Gen. 1:3, my translation). In Hebrew, the distance between command and fulfillment collapses into a single grammatical hinge, a single letter waw, barely enough space to register separation between intention and reality. Creation unfolds not through labor, time, or process but through Logos—utterance as world-making power.
Today, light is no longer only a cosmological phenomenon. It is electricity: power flowing through data centers, illuminating screens, and animating systems that process language at unprecedented scale. Logos, too, has taken on a new register. Words now trigger images, texts, and knowledge instantaneously. A prompt yields generation. Language once again sparks results, collapsing the distance between command and effect.
Artificial intelligence is not divine. It does not create ex nihilo. And yet the experience of working with AI unsettles long-settled assumptions about what words do and how meaning emerges. It invites a reexamination of the human condition itself—not because machines resemble us too closely, but because they reveal what only humans can do.
Human beings speak, but our words do not bring the world into existence by command. Our creative vocation is different. In Genesis, humans are not granted the power to create by speech; they are given the responsibility to name. God brings the animals to the human “to see what he would call them” (Gen. 2:19), and whatever the human calls each creature becomes its name.
This distinction is decisive. Divine Logos creates reality. Human logos creates meaning. Through language, humans do not make the world, but we do make sense of it. Names establish identity. Stories bind events into coherence. Language organizes memory, transmits tradition, and allows communities to narrate who they are becoming over time.
Theological anthropology has long described humans as a synthesis: finite yet open to infinity, temporal yet capable of imagining eternity. The biblical tradition expresses this synthesis poetically—humans formed from earth and breath, dust and spirit. We live within time and space, yet we are capable of reflecting on them, interpreting them, and imagining lives that extend beyond immediate necessity.
Meaning, however, does not arise at the moment of action. It emerges retrospectively as experiences are gathered, remembered, and interpreted over time. Formation is slow work. It depends on memory, distance, and imagination. Without language that can hold experience over time, life becomes a sequence of disconnected moments rather than a narrative of becoming.
Artificial intelligence operates in a strikingly different relation to Logos. It processes language with extraordinary fluency, speed, and scale. It generates text that appears meaningful, coherent, and even insightful. And yet, it does not inhabit the world its language describes.
Artificial intelligence does not live within time as duration. It does not remember through lived continuity. It does not anticipate, regret, or hope. It does not act, suffer, or bear responsibility. Its “knowledge” consists of patterns detected across vast corpora of text, translated into probabilities, and rendered back into human-readable language.
This is not a flaw to be fixed. It is a boundary to be acknowledged.
Whereas divine Logos creates worlds and human logos creates meaning, AI processes symbols without inhabiting the world language discloses. It can surface configurations no individual human could perceive, but it cannot complete the interpretive act that turns relations into meaning. That final movement belongs to embodied beings who live within time and space.
The danger, then, is not that AI will replace human thinking. The danger is that humans will mistake fluency for understanding, patterns for meaning, and speed for wisdom.
This is why the process of becoming—not efficiency, productivity, or compliance—is the decisive theological question in the age of AI. Artificial intelligence intensifies temptations to equate intelligence with optimization and knowledge with output. But wisdom has never been about processing information faster. It has always involved judgment: the capacity to weigh competing goods, navigate ambiguity, and take responsibility when no answer can be computed.
Religious education has long specialized in cultivating judgment under conditions of uncertainty. Traditions of discernment, interpretation, and narrative identity have been developed precisely for moments when power threatens to overwhelm meaning. The task now is not to reject AI nor to baptize it but to intentionally design spaces of learning and engagement where human judgment, prophetic voice, and moral imagination can be formed alongside it. Artificial intelligence will participate in meaning-making whether or not communities of faith address it intentionally. The question is whether that participation will hollow out formation or deepen it.
“Let there be light” is not a call to mastery. It is a call to discernment. It makes things visible so that life can be ordered, named, and sustained.
Artificial intelligence throws new light on the human vocation precisely by revealing its limits. Machines can process language, but they cannot inhabit the stories language tells. They can detect patterns, but they cannot decide what those connections mean. They can generate coherence, but they cannot assume responsibility for what that narration signifies.
To engage AI faithfully, then, is not to blur the distinction between humans and machines but to protect it. The task before religious communities is not technological innovation but moral clarity: intentionally designing the learning environment in which meaning, responsibility, and becoming remain human vocations. Such environments include mechanisms that preserve selected interactions with AI in a persistent memory, where the questions, interpretations, and decisions of an individual user accumulate over time and remain available for reflection and discernment. In such settings, intelligent systems may help surface patterns or connections within that memory (by applying metrics designed to measure ethical formation, for example). Yet the work of interpretation, judgment, and moral imagination utilizing those patterns, connections, or metrics remains with the human community that inhabits it.
Long before the commercial use of algorithms, theological education and religious communities of learning were already engaged in the difficult work of formation—cultivating judgment, imagination, spirituality, and responsibility across time. That work has not been made obsolete by artificial intelligence. It has been made more urgent.
Light has been spoken into a new world. What we do with it will determine not what machines become but who we are.
