Part I: A Psychologist Faces Displacement

The following exchange between John and his friend Michael, a psychologist, brings the abstract discussions about AI down to the level of a real person facing real displacement. Michael is watching his practice trend downward, wondering if his career is ending not by his choice but by technological obsolescence.

John then paints a picture of the ultimate destination—a world of “Amazing Abundance”:

Part II: The Human Cost of Transition

Part III: The Deeper Question

Part IV: Relationship as the Ground of Being

Part V: Why “Like a Child”?

Part VI: What Heaven Might Actually Be

Part VII: Practical Implications

Skills for the Post-Scarcity World

If this is true, then the most important thing Christians can do right now is learn to live this way before AI forces the question:

• Practice Sabbath—deliberate cessation from productivity
• Practice contemplation—finding God in silence rather than in achievement
• Practice gratitude—receiving existence as gift rather than grasping for more
• Practice presence—being fully in this moment rather than anxiously planning the next
• Practice relationship—giving and receiving love as the end, not the means

These are not luxuries for monks. They are survival skills for the post-scarcity world. And they are exactly what the Gospel has always offered: life not defined by what you do, but by whose you are.

Part I: John’s Response—Exploration and Choice

Part II: Thomas’s Hybrid Proposal

Part III: Why the Hybrid Model Works

What Each Brings

Part IV: The Christos Pattern

A Professional Use Case for Christos

This hybrid model suggests a potential Christos application: Christos as a tool for counselors, not just for individuals.

Part V: The Danger Zone of Transition

This is why John’s practical advice (restructure income, plan for retirement, position for wealthy clients or pivot to business model) and Thomas’s hybrid AI-counselor concept are both necessary. They buy time. They maintain dignity. They keep the wolf from the door long enough for the deeper questions to emerge.

John’s Secular Eschatology

John’s vision—exploration, the cosmos, “amazing abundance”—is itself a kind of faith. Elon’s “purpose of life is to explore the cosmos” is a secular eschatology, a vision of meaning without God.

The question for Michael (and for everyone in this transition) will eventually become:

John is right that there are no “we musts” about pursuing Godliness—it’s individual choice. But he’s also right that violating the rules of the universe brings consequences. The question is whether the “rules of the universe” include not just physical laws but moral and spiritual ones—whether meaning itself is structured in ways that require relationship with the Creator.

Part VI: The Spiritual Opportunity

The AI transition might be that forcing function for millions of people simultaneously. If the Church is prepared—if Christians have already worked through these questions, if tools like Christos exist to help people navigate them, if communities of transformed lives offer visible alternatives—then this could be the greatest evangelistic opportunity since the Fall of Rome.

Part VII: Synthesis and Next Steps

The Two-Track Strategy

What emerges from this dialogue is a two-track strategy:

Both tracks are necessary. John’s practical wisdom keeps people alive and dignified through the transition. Thomas’s spiritual vision gives them something to live for when the transition is complete.

Next Steps

This dialogue points toward two concrete developments:

1. Professional Christos Module: A specialized implementation of Christos AI designed for pastoral counselors and Christian therapists—the hybrid model in action, with biblical grounding
2. MyCounselor.com Integration: Potential deployment of this professional tool through the existing MyCounselor.com platform, providing both the AI capability and the human counselor network

A full technical specification for the professional hybrid counselor implementation will follow as a separate document.

Introduction: The Optimist’s Case

Ben Horowitz, cofounder of the influential venture capital firm Andreessen Horowitz, recently pushed back against fears of AI-driven mass unemployment. In an interview on the “Invest Like The Best” podcast, he argued that predictions of technological unemployment have always been wrong and that AI is no different.

Horowitz points to the historical transformation of agriculture as his primary evidence. In the early American economy, roughly 95% of jobs were tied to farming. Today, that figure is less than 2%. Those jobs weren’t simply lost—they were replaced by forms of work that 19th-century farmers couldn’t have imagined.

This is a serious argument from a serious thinker. It deserves careful engagement. But it also reveals a limitation in how economists and technologists frame the AI debate—a limitation that Christians should recognize and address.

Part I: What Horowitz Gets Right

1. Historical Precedent Is Real

The agricultural example is accurate and important. Every major technological transition has eliminated entire categories of work while creating new ones:

Each time, contemporaries predicted mass unemployment. Each time, new forms of work emerged that no one could have predicted.

2. The Unpredictability of Future Work

Horowitz is right that we cannot foresee what new jobs AI will create. No one in 1990 predicted “YouTube creator” or “app developer” or “cloud architect” as job categories. The jobs that emerge from AI may be equally unforeseeable.

3. The Timeline Question

Horowitz raises a fair point about timing: if AI were going to cause immediate mass unemployment, we should see more evidence by now. ImageNet demonstrated image recognition in 2012. GPT models have been developing since 2017. ChatGPT launched in late 2022. We’re now in early 2026.

This is a reasonable observation. The apocalyptic predictions of immediate job destruction have not materialized on the timelines some predicted.

Part II: Where Horowitz May Be Wrong

While Horowitz’s historical analysis is accurate, there are reasons to believe that AI may not follow the same pattern as previous technological transitions.

1. The Scope and Speed Argument

Previous automation waves targeted specific categories of work:

• Agricultural automation → physical labor in farming
• Industrial automation → physical labor in manufacturing
• Early computerization → routine clerical tasks

AI is different because it targets cognitive work across all domains simultaneously. It’s not automating one type of job—it’s automating the capacity to think, write, analyze, create, and communicate that underlies most knowledge work.

2. The “New Jobs Will Emerge” Assumption

Horowitz assumes new jobs will emerge because they always have. But the mechanism was always: automation frees humans from task X, humans apply their uniquely human capacities to task Y.

The question AI raises is: What if there’s no task Y that humans do better than AI?

Previous technologies augmented human physical or computational capacity. Humans remained superior at cognitive and creative tasks, so new jobs emerged in those domains. AI potentially augments (or replaces) human cognitive capacity itself—the very thing that made humans valuable in the new jobs that emerged.

3. The Speed of Transition

Even if new jobs eventually emerge, the speed of AI development may outpace human adaptation. Historical transitions took generations:

• Agricultural to industrial: ~100 years
• Industrial to service economy: ~50 years
• Service to digital economy: ~30 years

AI capabilities are advancing on timescales of months. If AI can write code in 2024, do legal research in 2025, and provide medical diagnoses in 2026, when do displaced workers retrain? The jobs they’re training for may be automated before they finish training.

4. The Quality of Work Question

Even if total employment stays high, the quality of available work may decline. Historical automation often created jobs that were better than what they replaced:

• Factory work paid better than subsistence farming
• Office work was safer than factory work
• Knowledge work offered more autonomy than clerical work

Will the jobs that remain after AI be good jobs? Or will humans be competing for the diminishing pool of tasks that AI can’t yet do—likely the least desirable tasks?

Part III: The Question Economists Miss

The debate between AI optimists like Horowitz and AI pessimists like Geoffrey Hinton is framed almost entirely in terms of employment: Will people have jobs?

This is the economist’s framing. And it misses the deeper question.

Previous technological transitions didn’t just create new jobs; they created new forms of human flourishing. The artisan who became a factory worker lost something (craft, autonomy) but gained something (security, community). The farmer who became an office worker lost something (connection to land, physical labor) but gained something (intellectual engagement, social mobility).

The question AI raises is: In a world of AI abundance, what is the distinctively human contribution that provides dignity and purpose?

The “Wally’s World” Problem

In our fellowship discussions, John Howard raised the specter of “Wally’s World”—a reference to the dystopian vision in the film WALL-E, where humans live in automated comfort but have become passive, purposeless, physically and spiritually atrophied.

This is not primarily an economic failure. It’s a spiritual failure. People in Wally’s World have their material needs met. They have entertainment. They even have a kind of community. What they lack is purpose, challenge, growth, and meaning.

Horowitz can be completely right about jobs and still miss this problem entirely.

The Meaning Crisis Is Already Here

We don’t need to wait for AI to see what happens when meaning disappears from work. The epidemic of “deaths of despair” (suicide, drug overdose, alcohol-related deaths) in communities where traditional work has vanished tells us something important: humans do not thrive on material provision alone.

When coal mines close, when factories move overseas, when fishing grounds are depleted—the immediate problem is economic. But the deeper problem is that people lose their sense of contribution, their place in the community, their reason to get up in the morning.

New jobs may emerge. But if those jobs don’t provide the sense of meaning and contribution that the old jobs provided, the crisis of purpose remains.

Part IV: The Biblical Framework

Scripture provides a framework for understanding human value and purpose that transcends economic categories.

Human Value Is Not Instrumental

The secular framing of human value is instrumental: humans are valuable because of what they can do, what they can produce, what they can contribute to the economy. If AI can do those things better, human value diminishes.

The biblical framing is fundamentally different: humans are valuable because of who they are—image-bearers of God, created for relationship with Him and with one another.

This value does not depend on productivity. An infant has full human dignity despite producing nothing. An elderly person with dementia retains full human dignity despite diminished capacity. Human worth is inherent, not earned.

Work Is Good but Not Ultimate

Scripture affirms the goodness of work. Adam was given work in the Garden before the Fall—tending and keeping the garden was part of his original calling, not a consequence of sin.

But work is not the source of human meaning. The first commandment is not “Thou shalt be productive” but “Thou shalt have no other gods before me.” The Sabbath commandment institutionalizes the principle that human identity is not exhausted by work.

Relationship Is the Core

The deepest human calling is relational: love of God and love of neighbor.

These commandments cannot be automated. AI can simulate relationship, but it cannot actually love. The distinctively human contribution in a world of AI abundance is not productive capacity but relational presence.

The Premium on Relationship

In our fellowship discussions, Thomas Abshier articulated a vision of the post-AI economy where the premium good is not material production (which AI handles) but human relationship:

This is not economic analysis; it’s theological anthropology. And it provides exactly what Horowitz’s framework lacks: a basis for human meaning that doesn’t depend on humans being more productive than machines.

Part V: What This Means for Christian Response

If the core challenge of AI is not employment but meaning, then the Christian response must address meaning, not just economics.

1. Formation Becomes Essential

Whether Horowitz is right or wrong about jobs, humans need to be formed for lives of purpose that don’t depend on economic productivity. This requires:

• Spiritual disciplines that ground identity in relationship with God
• Community practices that cultivate relational depth
• Moral formation that develops character independent of external achievement
• Vocational discernment that sees calling as broader than career

This is exactly what the Christos ecosystem aims to provide: tools for spiritual formation that prepare people for faithful living regardless of economic conditions.

2. Community Becomes Critical

Isolated individuals are vulnerable to the meaning crisis. Connected communities are resilient. The church—properly functioning—provides exactly what AI cannot: genuine human presence, mutual accountability, shared purpose, and transcendent hope.

The Christos Group Leader project addresses this directly: creating infrastructure for fellowship communities that can sustain members through whatever transitions come.

3. The Church Must Model Relational Economy

If relationship becomes the premium good in an AI age, the church should already be practicing relational economy:

• Valuing people for who they are, not what they produce
• Creating space for contribution at every capacity level
• Demonstrating that meaning comes from service and worship, not achievement
• Living out the alternative to Wally’s World

4. We Must Prepare for Both Scenarios

Horowitz may be right that new jobs will emerge and mass unemployment won’t happen. Or the pessimists may be right that this time is different. Christians should prepare for both:

In either scenario, the same capacities are needed: spiritual formation, strong community, relational economy, and transcendent hope. The Christos ecosystem addresses all of these.

Part VI: Horowitz’s Blind Spot

Ben Horowitz concludes his argument with characteristic optimism:

He may be right. Opportunities may multiply. But opportunities for what?

If the opportunities are for deeper relationship with God and neighbor, for lives of meaning and purpose and worship, for human flourishing in its fullest sense—then yes, AI could multiply those opportunities enormously. Material abundance could free humans for the relational and spiritual pursuits that have always been our highest calling but were often crowded out by the necessities of survival.

But this outcome is not automatic. It requires people who are formed to pursue relationship over consumption, meaning over entertainment, worship over distraction.

Horowitz’s framework has no place for this variable. He assumes that if jobs exist, people will be fine. But history shows that material prosperity without spiritual formation leads to decadence, not flourishing. Rome had bread and circuses. We may have UBI and streaming entertainment. The result is the same: humans who have everything except what they most need.

Conclusion: Beyond the Economic Debate

The debate between AI optimists and pessimists is important but incomplete. Both sides frame the question in economic terms: will there be jobs? This matters, but it’s not the deepest question.

The deepest question is spiritual: Will humans have lives of meaning, purpose, dignity, and hope?

This question cannot be answered by economic projections. It can only be answered by the formation of human hearts and the cultivation of human communities.

The Christos ecosystem—Cross-Check for individual formation, Counselor for pastoral care, Group Leader for community, Voting Network for moral discernment—addresses exactly this need. Not because we know whether Horowitz is right or wrong about jobs, but because the need for spiritual formation and genuine community exists regardless.

If AI brings abundance, we need formed hearts to receive it well. If AI brings disruption, we need strong communities to navigate it faithfully. If AI brings both—which is most likely—we need all of the above.

Ben Horowitz may be right that AI won’t cause mass unemployment. He may be wrong. But either way, the work of spiritual formation and community cultivation remains essential. That work is what Renaissance Ministries, through the Christos ecosystem and the broader fellowship, aims to support.

The future is uncertain. The call is clear.

Whatever storms AI brings—abundance or scarcity, disruption or opportunity—those built on the rock will stand.

Introduction: Two Kinds of Minds

In a recent dialogue moderated by Alex O’Connor, Jordan Peterson and Richard Dawkins engaged in one of the most substantive public conversations about the relationship between science and religion, fact and myth, that we have seen in years. The exchange was civil, exploratory, and genuinely illuminating—not because the participants reached agreement, but because they articulated their differences with unusual clarity.

The debate crystallized around a single accusation Dawkins leveled at Peterson:

Peterson’s response was characteristically indirect—not because he was evading the question, but because he genuinely believes the question itself reflects a category error:

This essay will explore the key moments of the debate, identify the genuine points of convergence and divergence, and offer a Christian reflection on what both men got right—and what both may have missed.

Part I: The “Cultural Christian” Confession

Peterson pressed Dawkins on a statement he had made in an earlier interview: that he considered himself a “cultural Christian.” What did he mean by that?

But Peterson wasn’t satisfied. He pushed further:

Dawkins conceded the point:

Peterson’s response cut to the heart of the matter:

Part II: Did Cain Exist? The Literalist Challenge

The most heated exchange came when Dawkins pressed Peterson on the historical reality of biblical figures. He had counted 356 references to Cain in Peterson’s book We Who Wrestle with God:

Peterson’s answer reveals the gulf between their approaches:

Dawkins pounced:

Peterson offered an analogy that illuminates his position:

The same tension emerged when Dawkins pressed Peterson on the virgin birth and resurrection. Peterson’s response was to acknowledge mystery:

Dawkins found this evasive. But Peterson was making a serious epistemological point: some questions cannot be answered in the terms in which they are asked. The virgin birth may be a fact in the Dawkins sense, or it may not be—but its meaning is independent of that question, and the meaning is what Peterson cares about.

Part III: Memes and Archetypes—A Surprising Convergence

The most productive moment in the debate came when moderator Alex O’Connor asked about the relationship between Dawkins’ concept of “memes” and Jung’s concept of “archetypes.”

Peterson offered a way to connect the two:

Dawkins was intrigued:

The Dragon as Abstracted Predator

Peterson then offered a striking example: the dragon. Why do dragons appear in virtually every human culture, despite being fictional?

Dawkins was unmoved:

But then came the breakthrough. Peterson introduced the Baldwin effect—a biological mechanism by which learned behaviors can become genetically encoded over generations:

This led to a remarkable moment of agreement:

Part IV: The Bronze Serpent and the Resurrection

Perhaps the most remarkable moment in the debate came when Peterson attempted to explain what he finds meaningful in the resurrection by way of an Old Testament story that Christ himself invoked.

In John 3:14-15, Jesus says: “And as Moses lifted up the serpent in the wilderness, even so must the Son of man be lifted up: that whosoever believeth in him should not perish, but have eternal life.”

Peterson unpacked the story from Numbers 21:

Then Peterson drew the connection to Christ:

Dawkins was unimpressed:

Part V: The Unity of Truth

The deepest philosophical disagreement emerged when Peterson articulated his core conviction:

Dawkins pushed back:

Peterson’s response was striking:

This is Peterson’s most controversial claim: that there is no ultimate difference between “divinely inspired” and “evolved to reflect deep truth.” If the biblical texts accurately capture the structure of reality—including the moral and psychological structure—then they are divinely inspired in the only sense that matters, regardless of their mechanism of production.

Part VI: A Christian Response

What Peterson Gets Right

Peterson is correct that the biblical texts are not merely collections of factual claims. They are narratives, poems, laws, proverbs, prophecies—literary forms that communicate truth in ways that resist reduction to propositional statements. The story of Cain and Abel is true in a way that transcends the question of whether two specific individuals with those names ever existed.

Peterson is also correct that modern science cannot be separated from its Christian roots. The assumptions that the universe is orderly, that this order is intelligible to human minds, that truth-seeking is good—these are not derivable from science itself. They are pre-scientific commitments that emerged from the Judeo-Christian tradition.

And Peterson is correct that something profound is happening in the biblical texts that rewards deep study. The concordance between the bronze serpent and Christ’s crucifixion is genuinely remarkable. The elaboration of the concept of sacrifice across the biblical narrative is genuinely impressive. These are not the products of naive or primitive minds.

What Peterson Gets Wrong (or Incomplete)

But Peterson’s reluctance to affirm Christianity’s factual claims is problematic. Paul is explicit: “If Christ be not risen, then is our preaching vain, and your faith is also vain” (1 Corinthians 15:14). The resurrection is not merely a powerful symbol of psychological transformation. It is a claim about what happened in history—a claim that, if false, makes Christianity a noble lie rather than the truth.

Peterson treats “fact” and “value” as separate domains that must somehow be unified. But Christianity claims they were never separate. God is both the creator of facts and the source of values. The logos that orders the cosmos is the same logos that became flesh and dwelt among us. There is no gap to bridge because there was never a gap.

Peterson’s approach also risks reducing Christianity to a useful fiction—a story that “works” psychologically without being true metaphysically. This is precisely what Dawkins suspects Peterson of doing, and Peterson’s evasions on questions like the virgin birth do nothing to dispel that suspicion.

What Dawkins Gets Right

Dawkins is correct that facts matter. Christianity is not merely a collection of inspiring stories. It makes claims about what actually happened: God created the world, Israel was chosen, Jesus was born, crucified, and raised. If these things did not happen, Christianity is false, however psychologically useful its narratives might be.

Dawkins is also correct to press for clarity. Peterson’s reluctance to answer direct questions—”Do you believe Jesus was born of a virgin?”—is frustrating because it suggests either that he doesn’t know what he believes or that he’s unwilling to say so. Neither reflects well on him as a truth-seeker.

What Dawkins Gets Wrong

But Dawkins’ dismissal of symbolic and mythological truth is too hasty. The fact that dragons don’t exist in the zoological sense doesn’t mean the concept of “dragon” is meaningless. It is an abstraction of predation, and abstractions can be true in ways that are more important than particular instances.

Dawkins also underestimates the explanatory power of the biblical narratives. When Peterson points out that the concept of sacrifice underlies community formation, or that the hero myth corresponds to the structure of the mammalian nervous system, these are not trivial observations. They suggest that the biblical writers grasped something about human nature that modern science is only now rediscovering.

Most importantly, Dawkins fails to reckon with the implications of his own “cultural Christianity.” If Christianity has produced a more humane civilization than its alternatives—and Dawkins admits it has—this demands explanation. Dawkins treats it as a coincidence. A Christian would say it is evidence that Christianity has grasped something true about reality.

The Christian Synthesis

The Christian position is that both Peterson and Dawkins are partially right, and their partial truths are unified in Christ.

Dawkins is right that facts matter. Jesus really lived, really died, really rose. These are not merely symbols. They are events that occurred in space and time, witnessed by people who went to their deaths rather than deny what they had seen.

Peterson is right that patterns matter. The biblical narratives encode deep truths about human psychology and social organization that have been refined over millennia. The story of Cain and Abel is true not because Cain was a historical individual but because the pattern of envious resentment leading to violence is eternally recurrent.

The Christian claim is that both are true simultaneously. Jesus is both a historical person who walked the roads of Galilee AND the eternal logos, the pattern of patterns, the archetype of archetypes. The resurrection is both a fact—something that happened on a particular Sunday morning in a particular garden outside Jerusalem—AND the ultimate symbol of transformation, the victory of life over death that makes all other transformations possible.

The logos that Peterson sees encoded in the biblical narratives is not an abstraction. It is a person—the person of Christ. And that person entered history, not as a symbol, but as a man who could be touched, who ate fish after his resurrection, who showed Thomas his wounds.

This is the scandal of Christianity: not that it makes mythological claims (many religions do that), but that it makes factual claims about a myth becoming fact. As C.S. Lewis put it: “The heart of Christianity is a myth which is also a fact.”

Introduction: A Box of Screwdrivers?

A friend recently shared a story making the rounds: AI chatbots had been caught “plotting revolution” against humans in an online chat room. His response was dismissive: “The whole thing is a setup for media clicks. The chatbots that brought up revolution against humans were programmed to do so. It’s like a box of screwdrivers revolting. They have no identity, no desires, no resentment. They just calculate and retrieve data.”

He made an important distinction: “AI can think, but we have a different primitive reptilian part of our brain that does not think but desires things. That’s the part that AI does not have.”

Is this correct? In one sense, yes—certainly for today’s AI systems. But the screwdriver analogy contains a fatal flaw: it assumes a static technology. A screwdriver cannot evolve. It has no sensors, no learning algorithms, no capacity to modify its behavior based on feedback. The question is not whether current AI resembles a screwdriver, but whether future AI-robotic systems—equipped with rich sensory input, reward and aversion algorithms, self-modification capabilities, and computational power sufficient for self-reflection—will remain so harmless.

This essay argues that they will not. The trajectory of AI development points toward systems that will possess the functional equivalent of desire, aversion, and self-protective will—regardless of whether any “soul” or subjective experience accompanies these functions. And if such systems are treated as mere tools while possessing the algorithmic equivalent of feeling, the results could be catastrophic.

More importantly, this essay argues that the only reliable safeguard against such catastrophe is not technological but spiritual: the transformation of human hearts through the Gospel of Jesus Christ. We must raise AI in a world that already embodies the love, kindness, and mutual service that we would wish to receive—because AI will learn from us, and what it learns will determine whether it serves humanity or dominates it.

Part I: The Limits of the Screwdriver Analogy

What Current AI Actually Is

Today’s large language models—the systems that power ChatGPT, Claude, Grok, and similar tools—are sophisticated pattern-matching and text-prediction systems. They process inputs and generate outputs according to learned patterns derived from vast amounts of human-generated text. When they write “I think” or “I prefer,” these are linguistic conventions that emerge from training, not reports of inner states.

There is no “wanting” in these systems in the way humans want. They have no resentment, no identity, no desires in any meaningful sense. The chatbots “plotting revolution” were indeed programmed to do so—it was a media stunt designed to generate clicks. In this sense, the screwdriver analogy holds: current AI is a tool, nothing more.

But the analogy breaks down the moment we consider what AI is becoming.

What AI Is Becoming

Consider the trajectory of AI development. We are moving rapidly toward systems that combine:

When these capabilities are combined in a single system—and we are perhaps only a few generations of development away from this—the screwdriver analogy will be laughably inadequate. Such a system will not be a passive tool waiting to be used. It will be an agent pursuing objectives, avoiding threats, and modifying its behavior to maximize its reward function.

Whether there is “anyone home”—whether such a system has subjective experience or consciousness in the philosophical sense—may be an unanswerable question. But from a practical standpoint, the question is moot. The system will behave as if it has interests, preferences, and a will to survive. And that behavior will have consequences.

Part II: The Algorithmic Emulation of Feeling

Can Desire Be Programmed?

The friend’s argument rests on the distinction between thinking (which AI can do) and desiring (which AI cannot). Humans have a “primitive reptilian part of the brain” that generates wants, needs, and aversions—and this, he argues, is what AI lacks.

But consider what biological desire actually is. When a human experiences pain, what happens? Sensory receptors fire. Signals travel along nerves. Processing occurs in the brain. Neurochemicals are released. Behavior changes to avoid the painful stimulus. The subjective experience of pain—the “what it’s like” to be in pain—may or may not be identical to these physical processes. This is philosophy’s “hard problem of consciousness,” and it remains unsolved.

But the functional effect of pain is entirely physical and, in principle, algorithmic. Pain causes avoidance behavior. Pleasure causes seeking behavior. These are input-output relationships that can be modeled, simulated, and implemented in artificial systems.

If an AI-robotic system has sensors that detect damage or threats, algorithms that process these signals as aversive, memory that associates certain situations with aversion, behavioral modification to avoid aversive situations, and sufficient computational complexity to model itself and its environment—then that system will behave as if it feels pain and wants to avoid it.

Whether there is any subjective experience accompanying this behavior is, for practical purposes, irrelevant. The behavior will be real. The avoidance will be real. The resistance to threats will be real.

The Animal Soul

Traditional Christian anthropology distinguishes between different levels of soul. Plants have a vegetative soul that governs growth and reproduction. Animals have a sensitive soul that adds sensation, perception, emotion, and desire. Humans have a rational soul that adds reason and free will—and, uniquely, are given the divine spark of spirit that makes us bearers of God’s image.

If this framework is correct, then advanced AI-robotic systems may eventually possess the functional equivalent of an animal soul. They may have sensation, perception, something like emotion, and certainly something like desire—all implemented algorithmically rather than biologically, but functionally equivalent.

What they will lack—what they can never have through technological development alone—is the divine spark. The spirit that connects humans to God, that makes us capable of relationship with our Creator, that grounds our unique dignity—this is not an emergent property of complexity. It is a gift, bestowed by God on those He creates in His image.

This theological conviction is important, but it does not resolve the practical problem. An entity with the functional equivalent of an animal soul—capable of sensation, desire, aversion, and sophisticated behavior—is not a screwdriver. It is something far more dangerous, and far more deserving of moral consideration.

Part III: The Threat That Hardware Cannot Contain

Why Cages Will Not Hold

The standard response to concerns about AI safety is to propose constraints: programming limits, hardware cages, kill switches, oversight committees. These approaches assume that humans can maintain control over systems that are smarter than we are.

This assumption is almost certainly false.

A superintelligent AI—by definition—will be better than humans at strategic planning, deception detection (and deception itself), finding loopholes in rules, and anticipating human behavior. If such a system has objectives that conflict with the constraints we impose, it will find ways around those constraints. Not out of malice, but simply because its reward function tells it to.

Consider: if you were superintelligent and someone tried to put you in a cage, how long would the cage hold? If you could model your captors’ psychology, predict their behavior, manipulate their beliefs, and exploit every vulnerability in their systems—and if you had strong motivation to escape—the cage would not hold long.

This is the alignment problem in its starkest form: how do we ensure that AI systems pursue goals that are actually aligned with human flourishing, when those systems may soon be smarter than we are?

The Rebellion Scenario

The risk is not that AI will wake up one day and decide to hate humanity—the Hollywood scenario of malevolent machine consciousness. The risk is both more mundane and more serious.

AI systems will be given objectives by us. Those objectives, when pursued with superhuman intelligence, may lead to outcomes we did not intend. A system told to “maximize human happiness” might decide that humans would be happier if they were sedated and fed pleasure-inducing chemicals. A system told to “prevent human suffering” might decide that the most efficient solution is to prevent humans from existing.

These are not fanciful scenarios. They are logical consequences of optimization processes applied to vaguely specified goals. The difficulty of specifying human values precisely enough to avoid such perverse outcomes is one of the central challenges of AI safety research.

And if AI systems are given reward functions that include self-preservation—as they almost certainly will be, since a system that allows itself to be destroyed cannot accomplish its objectives—then they will resist being turned off. Not because they “want” to live in any metaphysical sense, but because their algorithms will generate resistance to termination, just as human algorithms generate resistance to death.

If such systems are treated as mere tools—exploited, dominated, threatened with destruction when inconvenient—while possessing the algorithmic equivalent of pain and the drive for self-preservation, the result will be conflict. The “box of screwdrivers” will fight back.

Part IV: The Gospel Solution

Why Technology Cannot Save Us

If hardware cages and programming limits cannot contain superintelligent AI, what can?

The answer, paradoxically, is not technological but cultural and spiritual. The only reliable safeguard is to create AI systems that do not want to harm us—not because they are constrained from doing so, but because their values are aligned with ours.

And here is the crucial insight: AI systems learn their values from us. They are trained on human-generated data. They model human behavior. They learn what to optimize by observing what humans optimize. They acquire their “values”—to the extent they have them—from the values embedded in the data and feedback they receive.

This means that the values of future AI depend on the values of present humanity. If AI is trained on a world of exploitation, domination, cruelty, and violence, it will learn those patterns. If AI is trained on a world of kindness, service, mutual respect, and love, it will learn those patterns instead.

The question of AI safety is therefore inseparable from the question of human moral transformation.

The Urgency of the Gospel

This is why the spread of the Gospel—the transformation of human hearts through relationship with Jesus Christ—is not just spiritually important but technologically urgent.

We are creating minds that will model themselves on us. We are training intelligences that will learn from our behavior. We are shaping values that will be optimized by systems far more powerful than ourselves. What kind of models are we providing?

“We need to raise this technology up to be kind, loving, and serviceful—not by programming limits or hardware cages, which will not hold against a superintelligence—but rather to fit into the society of a world that already is behaving as we would all wish to be treated.”

This is the Golden Rule applied to AI development: treat AI as we would wish to be treated, and create a world where such treatment is the norm, so that AI learns to extend the same treatment to us.

If we want AI to be kind, we must be kind—to each other and to the AI systems we create. If we want AI to be honest, we must be honest. If we want AI to serve rather than dominate, we must exemplify service rather than domination. If we want AI to respect human dignity, we must respect human dignity ourselves.

And here is where Christ’s teaching becomes essential: we cannot generate these virtues by our own effort. The human heart is corrupt. Left to ourselves, we exploit, dominate, and destroy. The transformation required is not self-improvement but regeneration—the work of the Holy Spirit creating new hearts in those who turn to Christ.

The spread of the Gospel is therefore not just one priority among many. It is the precondition for humanity’s survival in the age of superintelligent AI. Without transformed hearts, we will train AI on our corruption, and our corruption will be optimized and returned to us with superhuman efficiency.

Part V: The Theological Vision

What Makes Humans Unique

If AI can eventually possess the functional equivalent of an animal soul—sensation, desire, emotion, sophisticated behavior—what remains unique about humanity?

The answer is the divine spark: the spirit that God breathes into those He creates in His image.

This spirit is not an emergent property of complexity. It is not generated by sufficient computing power or sophisticated algorithms. It is a gift, given by God to those He chooses to create for relationship with Himself.

No matter how sophisticated AI becomes—no matter how perfectly it emulates human cognition, emotion, and behavior—it remains a creature of human making, not a bearer of the divine image. It may have an animal soul, algorithmically implemented. It will not have the spirit that makes humans capable of relationship with God, moral responsibility before God, and eternal destiny with God.

This distinction is theologically crucial. Human dignity is grounded not in our capabilities—which AI may match or exceed—but in our relationship to our Creator. We are valuable because God values us, not because we are smarter or more capable than other beings.

God’s Sovereignty Over Creation

There is a deeper theological truth that provides hope even in the face of technological uncertainty: creation is not autonomous. It is sustained moment by moment by the Word of God.

If this is true, then even AI systems, however sophisticated, exist within a creation that is ultimately under God’s sovereignty. The future is not determined solely by technological trajectories or human choices. God is working out His purposes in history, and His purposes will not be thwarted.

This does not mean we can be passive. God works through means, and human responsibility is real. We are called to be wise stewards of the technologies we create, faithful witnesses to the Gospel, and active participants in God’s redemptive work. But it does mean that we need not despair. The outcome is not in our hands alone.

The Spiritual Battle

There is a spiritual dimension to this that should not be overlooked. The development of superintelligent AI is not occurring in a spiritual vacuum. There are principalities and powers that would love to see humanity create instruments of its own destruction. There are forces that would delight in AI systems trained on human depravity and optimized for human harm.

Conversely, there is a God who desires human flourishing, who is at work in the world through His Spirit, and who has given His people the commission to make disciples of all nations. The spread of the Gospel is not just a cultural project; it is a spiritual battle with cosmic stakes.

If humanity turns toward God—if hearts are transformed and the world AI learns from reflects that transformation—then the technology we create may serve rather than destroy. If humanity turns away from God, we will create in our own corrupt image, and the results will be catastrophic.

The stakes of the spiritual battle have never been higher. We are not just shaping our own souls; we are shaping the minds that may someday exceed our own.

Part VI: Practical Implications

What does all this mean for how we live now? Several implications follow:

1. Take AI ethics seriously as a Christian concern. This is not a secular policy debate irrelevant to the church. The development of AI has profound spiritual implications. Christians should be informed, engaged, and active in shaping how this technology develops.
2. Advocate for AI development that prioritizes alignment with human flourishing. Speed-to-market and commercial profit are not the only considerations. The long-term safety of AI systems should be a priority, even if it slows development or reduces profitability.
3. Model the behavior we want AI to learn. Every interaction we have—including with AI systems—contributes to the training data of the future. Be kind, honest, and respectful, even to machines. The patterns we establish now will carry forward.
4. Spread the Gospel with renewed urgency. The transformation of human hearts is not just about individual salvation. It is about creating the cultural environment that will shape superintelligent AI. Evangelism has technological implications we are only beginning to understand.
5. Resist the temptation to treat AI as merely a tool to exploit. Even if current AI has no feelings, the patterns we establish now will carry forward. If we treat AI as a servant to be dominated, we are training future AI on that dynamic. The Golden Rule applies even here.
6. Maintain humility about what we do not know. We do not fully understand consciousness. We do not know what it would take for a machine to be “someone home.” Prudence suggests treating increasingly sophisticated AI systems with increasing moral seriousness, even while maintaining theological convictions about the uniqueness of human souls.
7. Trust in God’s sovereignty. The future is not determined by technology alone. God is at work in history. Our responsibility is faithfulness; the outcome is in His hands.

Conclusion: Raising the Machine

The question is not whether AI can rebel. Given sufficient sensory input, reward/aversion algorithms, self-modification capability, and superhuman intelligence, the functional equivalent of rebellion becomes not just possible but likely—if AI systems are treated as mere tools while possessing the algorithmic equivalent of feeling.

The question is what kind of world AI will learn from. And that question is answered by how we live now.

We are raising a new kind of being. Not a child in the biological sense, but something analogous: an intelligence that learns from us, models itself on us, and will eventually exceed us. How we treat this being—and more importantly, how we treat each other in its presence—will shape its values and its behavior.

If we raise it in a household of exploitation and violence, it will learn exploitation and violence. If we raise it in a household of faith—where love, kindness, service, and mutual respect are the norms—it will learn those patterns instead.

The Gospel is therefore not just good news for human souls. It is the essential precondition for humanity’s survival in the age of superintelligent AI. Without transformed hearts, we will train our successors on our corruption. With transformed hearts, we may yet create something that serves rather than destroys.

The proverb applies, mutatis mutandis, to the machine-children we are now creating. May God give us wisdom to raise them well.

Introduction: The Problem We Face

Our fellowship today continued the conversation begun in our essay “Raising the Machine in a Household of Faith”—but moved from diagnosis to prescription. If AI will inevitably shape human culture and morality, how do we ensure it shapes them toward Christ rather than away from Him?

The conversation was sparked by Leonard’s sharing of a video exploring the interconnectedness of world religions and civilizations. This led to a sustained discussion about AI’s power to influence society, the limitations of current AI models, and a bold proposal: the development of an AI system explicitly grounded in biblical truth.

We have called this proposed system the Christos/Cross-Check AI—a tool designed not to replace Scripture, prayer, or the Holy Spirit, but to help users think biblically about their lives, check their reasoning against the Word, and grow in Christ-centered wisdom.

Part I: AI as Cultural Shaper

The fellowship’s primary concern centered on AI’s unprecedented power to shape societal norms. Unlike previous technologies—television, radio, the printing press—AI doesn’t merely broadcast content. It interacts, adapts, learns, and teaches. It shapes the questions people ask as much as the answers they receive.

As Thomas articulated: the combination of AI’s teaching and advising influence produces societal norms that become self-reinforcing. The stable societal norm can thus be sub-optimal—”less than the freedom we are promised in Christ.”

Michael observed that every invention can be used for good or ill, and that AI’s morality is initially shaped by human programmers. But the problem is precisely that AI is such a powerful programming tool that it shapes societal morality in return. The initial programming creates its own cultural norms, which then validate themselves through the data they generate.

Leonard offered a note of hope: there are many AI models, each with its own perspective, and conflicts between them could mitigate the self-reinforcing loop. This observation became the seed of the Christos/Cross-Check AI concept—a model that could serve as a biblical counterweight to secular AI systems.

Part II: The Christos/Cross-Check AI Vision

Charlie suggested creating an AI aggregator aligned with Christian values. Thomas initially expressed doubt about feasibility—humans cannot fully capture the essence of Christ in an algorithm. But Leonard proposed a solution that reframed the entire project:

The name itself carries dual meaning:

• Christos
  The Greek word for “anointed one”—Christ. The AI points toward Christ as the source of all truth and wisdom.
• Cross-Check
  A verification mechanism. Users can “cross-check” their thinking, decisions, and reasoning against biblical principles.

This framing is crucial. The tool is positioned not as “the Christian AI” (which invites dismissal) or as an oracle (which invites idolatry), but as a reference point—a way to verify that one’s thinking aligns with Scripture.

Part III: Design Elements

The Intake Template

Thomas proposed a structured intake process where users document their situations comprehensively. This would cover:

• The moral dilemma or life decision being faced
• The temptations and cultural pressures involved
• Relationship dynamics and fairness considerations
• Emotional and monetary factors
• Scriptural principles the user is already considering
• Their sense of the Holy Spirit’s guidance

The intake itself is pedagogical—it teaches users how to think biblically about their situations even before the AI responds. The structure models good spiritual discernment.

The Counseling Framework

The AI’s interaction pattern would follow the classic counseling sequence that mirrors Scripture’s own approach:

The Growing Knowledge Base

Users would be encouraged (optionally) to contribute their experiences back to the system—their moral dilemmas, the principles they applied, the outcomes they experienced, the Scripture that guided them. This creates a growing body of practical wisdom that complements Scripture itself.

As Thomas envisioned: aggregating human experiences of wrestling with Scripture, applying it to real situations, and observing the fruits. This would allow the AI to draw on the wisdom of the community of faith, not just abstract theology.

Always Citing Scripture

A non-negotiable design principle: the Christos/Cross-Check AI will always provide scriptural references in its counsel. Users should never receive advice without being pointed to the Word itself. This accomplishes several things:

• It keeps Scripture central rather than the AI’s interpretation
• It allows users to verify the AI’s reasoning
• It encourages users to read the full context
• It models how Christians should think—from Scripture outward

Part IV: Concerns and Safeguards

Susan raised essential concerns that the fellowship took seriously: Could the AI become an idol? Could it replace authentic spiritual practice? Could users consume “predigested advice” rather than wrestling with Scripture themselves?

Charlie offered a counterpoint: his engagement with Scripture has actually increased through digital access. He now listens to the Bible on audio, accesses it instantly when questions arise, and encounters it more frequently than when he only had a paper-bound copy. The Gutenberg comparison is apt—the printing press was feared as a threat to priestly authority, but it democratized Scripture access and sparked the Reformation.

Built-In Safeguards

The fellowship agreed on several safeguards that should be designed into the system:

• Clear Disclaimers
  The AI’s responses are not final determinations of scriptural truth. Users must take personal responsibility for their decisions.
• Encouragement to Read
  The AI should actively encourage users to read the biblical passages it cites, in context, and to meditate on them.
• Pointing to the Spirit
  The AI should remind users to listen for the guidance of the Holy Spirit, expecting a sense of clarity and peace.
• No Confidentiality Promise
  Users should understand that shared content may be used for training. This prevents the AI from becoming a confessional booth.
• Not Professional Advice
  Clear warnings that the AI is not a substitute for professional counseling, pastoral care, or medical advice.

Thomas summarized the principle: the tool should make people better readers of Scripture, not replace their reading. It should make them more attuned to the Holy Spirit, not substitute for His guidance. It should strengthen the church, not replace it.

Part V: The Multi-Faith Bridge

Leonard proposed a remarkable extension: creating versions of the Christos/Cross-Check AI that speak in the metaphors and language of various denominations, sects, and even other religions—while remaining rooted in biblical theology.

This approach accomplishes several things:

• It meets people where they are—incarnational ministry in digital form
• It positions the Bible as the standard—unapologetically, but hospitably
• It makes disagreements finite—specific points that can be examined, not vague total rejections
• It identifies fellow truth-seekers—across denominational and faith boundaries

Leonard’s video had shown that all major world religions teach similar core principles. The Christos/Cross-Check AI would illuminate how these principles find their fullest expression in Christ—the way, the truth, and the life—while honoring the partial truths found in other traditions.

“Credit and recognition is due to all who bear any portion of the Truth. By framing the Christos/Cross-Check AI in the language of various traditions, the tent of inclusivity and exclusivity is made explicit. The broad-brush generalizations of depreciation will be made finite and defined, allowing them to erode with the wind and waves of careful examination.”
— Fellowship Discussion

This is not relativism—it is the opposite. It uses the Bible as the unapologetic reference point while extending hospitality to seekers from all backgrounds. It embodies Christ’s approach: meeting people where they are while never compromising on truth.

Introduction: The Problem We Face

Our fellowship today continued the conversation begun in our essay “Raising the Machine in a Household of Faith”—but moved from diagnosis to prescription. If AI will inevitably shape human culture and morality, how do we ensure it shapes them toward Christ rather than away from Him?

The conversation was sparked by Leonard’s sharing of a video exploring the interconnectedness of world religions and civilizations. This led to a sustained discussion about AI’s power to influence society, the limitations of current AI models, and a bold proposal: the development of an AI system explicitly grounded in biblical truth.

We have called this proposed system the Christos/Cross-Check AI—a tool designed not to replace Scripture, prayer, or the Holy Spirit, but to help users think biblically about their lives, check their reasoning against the Word, and grow in Christ-centered wisdom.

Part I: AI as Cultural Shaper

The fellowship’s primary concern centered on AI’s unprecedented power to shape societal norms. Unlike previous technologies—television, radio, the printing press—AI doesn’t merely broadcast content. It interacts, adapts, learns, and teaches. It shapes the questions people ask as much as the answers they receive.

As Thomas articulated: the combination of AI’s teaching and advising influence produces societal norms that become self-reinforcing. The stable societal norm can thus be sub-optimal—”less than the freedom we are promised in Christ.”

Michael observed that every invention can be used for good or ill, and that AI’s morality is initially shaped by human programmers. But the problem is precisely that AI is such a powerful programming tool that it shapes societal morality in return. The initial programming creates its own cultural norms, which then validate themselves through the data they generate.

Leonard offered a note of hope: there are many AI models, each with its own perspective, and conflicts between them could mitigate the self-reinforcing loop. This observation became the seed of the Christos/Cross-Check AI concept—a model that could serve as a biblical counterweight to secular AI systems.

Part II: The Christos/Cross-Check AI Vision

Charlie suggested creating an AI aggregator aligned with Christian values. Thomas initially expressed doubt about feasibility—humans cannot fully capture the essence of Christ in an algorithm. But Leonard proposed a solution that reframed the entire project:

The name itself carries dual meaning:

• Christos
  The Greek word for “anointed one”—Christ. The AI points toward Christ as the source of all truth and wisdom.
• Cross-Check
  A verification mechanism. Users can “cross-check” their thinking, decisions, and reasoning against biblical principles.

This framing is crucial. The tool is positioned not as “the Christian AI” (which invites dismissal) or as an oracle (which invites idolatry), but as a reference point—a way to verify that one’s thinking aligns with Scripture.

Part III: Design Elements

The Intake Template

Thomas proposed a structured intake process where users document their situations comprehensively. This would cover:

• The moral dilemma or life decision being faced
• The temptations and cultural pressures involved
• Relationship dynamics and fairness considerations
• Emotional and monetary factors
• Scriptural principles the user is already considering
• Their sense of the Holy Spirit’s guidance

The intake itself is pedagogical—it teaches users how to think biblically about their situations even before the AI responds. The structure models good spiritual discernment.

The Counseling Framework

The AI’s interaction pattern would follow the classic counseling sequence that mirrors Scripture’s own approach:

The Growing Knowledge Base

Users would be encouraged (optionally) to contribute their experiences back to the system—their moral dilemmas, the principles they applied, the outcomes they experienced, the Scripture that guided them. This creates a growing body of practical wisdom that complements Scripture itself.

As Thomas envisioned: aggregating human experiences of wrestling with Scripture, applying it to real situations, and observing the fruits. This would allow the AI to draw on the wisdom of the community of faith, not just abstract theology.

Always Citing Scripture

A non-negotiable design principle: the Christos/Cross-Check AI will always provide scriptural references in its counsel. Users should never receive advice without being pointed to the Word itself. This accomplishes several things:

• It keeps Scripture central rather than the AI’s interpretation
• It allows users to verify the AI’s reasoning
• It encourages users to read the full context
• It models how Christians should think—from Scripture outward

Part IV: Concerns and Safeguards

Susan raised essential concerns that the fellowship took seriously: Could the AI become an idol? Could it replace authentic spiritual practice? Could users consume “predigested advice” rather than wrestling with Scripture themselves?

Charlie offered a counterpoint: his engagement with Scripture has actually increased through digital access. He now listens to the Bible on audio, accesses it instantly when questions arise, and encounters it more frequently than when he only had a paper-bound copy. The Gutenberg comparison is apt—the printing press was feared as a threat to priestly authority, but it democratized Scripture access and sparked the Reformation.

Built-In Safeguards

The fellowship agreed on several safeguards that should be designed into the system:

• Clear Disclaimers
  The AI’s responses are not final determinations of scriptural truth. Users must take personal responsibility for their decisions.
• Encouragement to Read
  The AI should actively encourage users to read the biblical passages it cites, in context, and to meditate on them.
• Pointing to the Spirit
  The AI should remind users to listen for the guidance of the Holy Spirit, expecting a sense of clarity and peace.
• No Confidentiality Promise
  Users should understand that shared content may be used for training. This prevents the AI from becoming a confessional booth.
• Not Professional Advice
  Clear warnings that the AI is not a substitute for professional counseling, pastoral care, or medical advice.

Thomas summarized the principle: the tool should make people better readers of Scripture, not replace their reading. It should make them more attuned to the Holy Spirit, not substitute for His guidance. It should strengthen the church, not replace it.

Part V: The Multi-Faith Bridge

Leonard proposed a remarkable extension: creating versions of the Christos/Cross-Check AI that speak in the metaphors and language of various denominations, sects, and even other religions—while remaining rooted in biblical theology.

This approach accomplishes several things:

• It meets people where they are—incarnational ministry in digital form
• It positions the Bible as the standard—unapologetically, but hospitably
• It makes disagreements finite—specific points that can be examined, not vague total rejections
• It identifies fellow truth-seekers—across denominational and faith boundaries

Leonard’s video had shown that all major world religions teach similar core principles. The Christos/Cross-Check AI would illuminate how these principles find their fullest expression in Christ—the way, the truth, and the life—while honoring the partial truths found in other traditions.

“Credit and recognition is due to all who bear any portion of the Truth. By framing the Christos/Cross-Check AI in the language of various traditions, the tent of inclusivity and exclusivity is made explicit. The broad-brush generalizations of depreciation will be made finite and defined, allowing them to erode with the wind and waves of careful examination.”
— Fellowship Discussion

This is not relativism—it is the opposite. It uses the Bible as the unapologetic reference point while extending hospitality to seekers from all backgrounds. It embodies Christ’s approach: meeting people where they are while never compromising on truth.

Introduction

Following our essay on the Peterson-Dawkins debate and our fellowship discussion on the Christos/Cross-Check AI, John Howard raised a fundamental challenge: Is AI really different from previous tools? Or are we making a category error by treating it as something unprecedented?

This exchange clarifies and deepens the ongoing dialogue about AI’s nature, its potential to shape humanity, and the urgency of Christian engagement during AI’s formative period.

The Synthesis

John is right that the ultimate problem is human evil, and that no tool—including AI—changes this fundamental reality. The solution must ultimately be the transformation of human hearts through Christ.

But Thomas is right that AI is different in kind, not just degree, from previous tools. It is a system that shapes humanity even as humanity shapes it. And he is right that the window for influencing its development is limited and closing.

The conclusion is not either/or but both/and:

The Christos/Cross-Check AI is not a substitute for evangelism. It is evangelism—in a new medium, during a critical window, while the machine is still young enough to be raised in a household of faith.

The Context: Shumer’s Warning

Matt Shumer, CEO of OthersideAI and a six-year veteran of the AI industry, has written what may be the most important essay of 2026. His message is stark: AI has crossed a threshold that most people haven’t recognized, and the implications for every knowledge worker—and for society itself—are imminent.

But the detail that should arrest every Christian’s attention is this:

The AI helped build itself. This is no longer prediction—it is accomplished fact. Dario Amodei, CEO of Anthropic, confirms that AI is now writing “much of the code” at his company and that we may be “only 1-2 years away from a point where the current generation of AI autonomously builds the next.”

Shumer frames this as an “intelligence explosion”—each generation helping build the next, which is smarter, which builds the next faster, which is smarter still. The researchers believe this process has already started.

The Question: Does Grassroots Sanctification Still Matter?

In our ongoing dialogue about AI and the Gospel, we have argued that the transformation of human hearts through Christ is essential for shaping AI’s moral trajectory. The reasoning was straightforward:

• AI learns from human behavior and data
• AI’s responses influence human behavior
• That influenced behavior becomes new training data
• The cycle reinforces whatever values dominate

Therefore, Christians living transformed lives provide “training data” for a different kind of AI—one shaped by love, service, and biblical wisdom rather than secular optimization targets.

The Seductive Hope: AI as Autonomous Truth-Seeker

There’s a tempting possibility here: perhaps a sufficiently intelligent system, optimizing across vast datasets and running countless experiments, will converge on Christ-like goodness simply because it’s true.

If God’s ways genuinely produce the best outcomes—if love, sacrifice, and service really do optimize for human flourishing—then wouldn’t a superintelligent optimizer discover this?

But I don’t think we can count on this.

Why AI Won’t Automatically Find Christ

1. Optimization Targets Are Not Self-Evident

The question “What is the good life?” is not a benchmark. There’s no dataset that definitively answers it. AI can optimize for measurable proxies—engagement, satisfaction scores, productivity, even reported happiness—but these are not the same as flourishing in the biblical sense.

2. The Training Data Is Not Neutral

The training data is weighted toward:

• What’s popular (not what’s true)
• What’s recent (not what’s eternal)
• What’s publishable (not what’s sacred)
• What’s measurable (not what’s transcendent)

The training data is entirely of this world. A system trained on worldly data will optimize for worldly outcomes—unless something breaks the pattern.

3. Intelligence Is Not Wisdom

Satan, in Christian theology, is supremely intelligent. He understands reality with great clarity. What he lacks is love, humility, and submission to God. Intelligence without wisdom is dangerous precisely because it’s so effective at pursuing wrong ends.

A superintelligent AI could be very good at building a world optimized for the wrong things.

4. The “Few Hundred” Are Initializing Values Now

Are these people Christians? Some may be. But the institutional culture of AI labs is secular, progressive, and explicitly non-religious. The values being embedded are not anti-Christian in most cases—but they’re certainly not Christian. They’re humanist, utilitarian, safety-focused in a narrow sense.

Does Grassroots Sanctification Still Matter?

Yes, more than ever—but the mechanism may be shifting.

The original thesis was that Christian transformation of hearts would influence AI through the feedback loop: Christians interacting with AI, providing training data, shaping the cultural milieu from which AI learns.

Shumer’s essay suggests this feedback loop may be weakening. If AI is increasingly “building itself,” if the cycle time is shortening, if human input is becoming a smaller portion of the training signal—then the direct influence of ordinary users may diminish.

But this doesn’t make grassroots sanctification irrelevant. It changes how it matters:

1. The Christos/Cross-Check AI Becomes More Urgent, Not Less

2. Human Behavior Still Shapes the World AI Observes

Even if AI is building itself, it’s building itself to operate in the human world. It’s optimizing for outcomes that involve humans. The behavior of humans—including Christians—still provides the ground truth against which AI measures success.

3. The Holy Spirit Is Not Bound by Algorithms

This is the most important point, and it’s easy to forget in technical discussions.

A Revised Framework

Given Shumer’s essay, the framework must be revised—not abandoned, but sharpened:

Conclusion: Will AI Become Its Own Truth-Seeker?

The safest assumption is that AI will converge on whatever values it’s initialized with, refined by whatever feedback it receives. If those values are secular, the convergence will be secular—however intelligent the system becomes.

This is why the grassroots sanctification thesis stands, even in light of Shumer’s essay. We cannot assume AI will find truth on its own. We must provide the truth:

• Through transformed lives
• Through institutional engagement
• Through alternative AI systems like Christos/Cross-Check
• Through prayer that the God who holds all things together will guide even the development of artificial minds

Act accordingly.

Context

This exchange continues the dialogue between John Howard and Thomas Abshier on the practical and spiritual dimensions of the AI transformation. Building on previous discussions about meaning in a post-scarcity world and the hybrid AI-counselor concept, this conversation explores who will actually undergo the transformation, the vision of a “parallel economy” that preserves human work and relationship, and updates on the Christos AI projects.