The Baptist Paper Examines AI's Threat to Human Wisdom

The intersection of artificial intelligence and human wisdom has become a flashpoint for philosophical debate, particularly within religious communities. The Baptist Paper recently published an analysis examining whether our increasing reliance on AI tools is replacing not just human labor, but human judgment itself.

The article, originally written by John Stonestreet and Timothy D. Padgett for the Colson Center's Breakpoint, opens with a telling anecdote from Jensen Huang, CEO and co-founder of NVIDIA. When asked to name the smartest person he knew, Huang suggested that the traditional meaning of "smart" has been rendered obsolete by machines. He offered an updated definition instead: someone who sits at the intersection of being technically astute while maintaining human empathy and the ability to infer the unspoken, the unknowables.

This reframing matters because it acknowledges a fundamental limitation in current AI systems. They can process data at speeds no human could match, but they cannot genuinely understand context, emotion, or moral nuance. The physical reality of interacting with these tools reveals this gap quickly. You type a prompt, wait for the cursor to blink (sometimes for seconds, sometimes for minutes), and receive output that looks polished but may lack genuine comprehension of what you actually needed.

The Baptist Paper's analysis draws on several philosophical touchstones to frame this concern. The article's primary source references Dr. Glenn Sunshine, a Colson Center colleague, who suggested that if a scholar from hundreds of years ago was shown what AI can do, he'd be both impressed and disappointed. "You know a lot," he might observe, "but you understand nothing."

This distinction between knowledge and understanding cuts to the core of the AI debate. Having all the information and data from history, science, literature, art, philosophy, and medicine constantly accessible at our fingertips is hardly making us wiser. It's like having a library card to every book in existence but never actually reading any of them. The convenience creates an illusion of competence that may be dangerously misleading.

The piece also highlights a viral quote from Frank Herbert's novel Dune that circulated on X last month: "Once, men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them." The article notes that Herbert was essentially repeating an earlier observation from C.S. Lewis, suggesting this concern about technology and human agency is not new.

Perhaps the most striking element of the analysis is its discussion of Matt Shumer, CEO of OthersideAI. In a controversial essay entitled "Something Big is Happening," Shumer made a stark admission that has sparked intense conversation across the tech industry. He wrote: "I am no longer needed for the actual technical work of my job. I describe what I want built, in plain English, and it just . . . appears. Not a rough draft I need to fix. The finished thing."

Shumer describes telling the AI what he wants, walking away from his computer for four hours, and coming back to find the work done. Done well, done better than he would have done it himself, with no corrections needed. A couple of months ago, he was going back and forth with the AI, guiding it, making edits. Now he just describes the outcome and leaves. (This is the kind of efficiency that sounds like progress until you realize what's actually being displaced.)

Shumer is not bragging. He's alarmed about the future of work and the need for humans to do it in the world he is helping to create. The Baptist Paper argues we should also consider how our technologies have replaced human wisdom, not just human labor.

The article invokes T.S. Eliot's "Choruses from 'The Rock'" from nearly a century ago, which foresaw this confusion: "Endless invention, endless experiment, brings knowledge of motion, but not of stillness; knowledge of speech, but not of silence; knowledge of words, and ignorance of the Word." Eliot's observation that all our knowledge brings us nearer to our ignorance remains uncomfortably relevant.

Similarly, the piece quotes C.S. Lewis from The Abolition of Man: "For the wise men of old, the cardinal problem of human life was how to conform the soul to objective reality, and the solution was wisdom, self-discipline and virtue. For the modern, the cardinal problem is how to conform reality to the wishes of man, and the solution is a technique."

This philosophical framework connects to practical concerns about AI adoption in religious communities. Separate reporting from The Baptist Paper cites a Lifeway Research study showing that U.S. Protestant pastors and churchgoers hold mixed views on artificial intelligence. They aren't completely opposed to it, but they have significant concerns about how AI is implemented and its potential influence on Christianity.

The data reveals nuanced adoption patterns. Less than half of U.S. Protestant pastors say they are using AI, but fewer are actively avoiding or ignoring the technology. One in 10 pastors (10%) say they are regular users, while a third (32%) are experimenting with it. Almost 1 in 6 (18%) say they are waiting to see better examples of how AI could help them. On the other end, close to 2 in 5 pastors are either intentionally avoiding it (18%) or simply ignoring artificial intelligence (20%).

Demographic patterns emerge clearly. Younger pastors, those in urban settings, those with more formal education, and those leading larger churches are more likely to be AI adopters. Pastors ages 18 to 44 (40%) and those 45 to 54 (37%) are more likely than those 65 and older (23%) to say they are experimenting with AI. Meanwhile, those 65 and older (4%) are the least likely to say they are a regular user.

Concerns cluster around specific issues. More than 4 in 5 pastors say they're worried AI-generated content must be edited, assuming it contains errors (84%). A similar percentage (81%) believe it is hard to ensure AI tools only use reliable sources. Three in 4 (76%) say biases may exist in the programming of how the AI makes its decisions. Three in 5 (62%) worry AI users are not disclosing the technology as a collaborator in their work.

The Baptist Paper's analysis concludes that what has been lost in the uncritical embrace of technological advancement are the insights of ancient wisdom. Lost in the consistent pursuit of ease and pleasure are the habits that cultivate virtue. It's not fundamentally a question of being for or against specific technologies. It's that it is not sufficient to be technically "smart" if we are not also morally wise.

What matters most for collective futures are not which capacities and tools we can develop, it is what sort of people we are. Knowledge can be dangerous when in the hands of the foolish, the immoral, or the wicked. Wisdom is not just the ability to "see around the corners of life." Rather, it is the ability to live in light of what is true and good.

The physical experience of using AI tools today reveals this tension. You click, you type, you wait. The screen fills with text that looks authoritative but may be confidently wrong. You copy, you paste, you move on. The friction that once forced reflection has been smoothed away. Whether that's progress or peril depends entirely on what you're building and why.

Whether religious communities or secular organizations actually develop the wisdom to use these tools responsibly remains the real question. The technology will keep advancing regardless of whether we're ready for it.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn