Artificial Intelligence has become one of the most powerful mirrors humanity has ever created.
Every day, millions of people ask AI systems for advice, explanations, opinions, recommendations, and interpretations of reality. Yet an increasingly common question emerges:
Is this AI liberal ?
The question itself is fascinating.
For years, organizations have spoken about digital transformation with the language of engineering and procurement. The discussion has often revolved around platforms, cloud migrations, workflow systems, dashboards, portals, mobile applications, and more recently, artificial intelligence. Entire strategies have been built around acquiring technologies that promised modernization, acceleration, efficiency, and innovation.
Karl Marx and Pope Leo XIV would probably stand on opposite sides of many philosophical questions, yet they would recognize some of the same fractures emerging in modern society — especially in the age of artificial intelligence, automation, and concentrated technological power
Human beings often perceive poetry and music as emotional expressions, spontaneous creations emerging from inspiration and artistic sensibility. Yet beneath some of the most powerful artistic works ever produced lies something far more structured: patterns, recursive architectures, rhythmic algorithms, numerical symmetries, and carefully engineered systems of repetition.
In many modern democracies, power no longer operates only through formal institutions. It increasingly moves through networks of visibility, reputation, influence, and reciprocal legitimization. Politics, academia, media, consulting, conferences, think tanks, publishing, and corporate ecosystems often reinforce one another in ways that are subtle, socially acceptable, and sometimes almost invisible from the outside.
A civilization that stops valuing human depth may eventually become incapable of governing the technologies it creates.
The paradox is striking.
The greatest risk of artificial intelligence may not be that machines become more human.
It may be that humans gradually accept becoming less so.
For decades, many advanced economies progressively shifted away from viewing expertise as strategic infrastructure. Specialized competencies became increasingly expensive rather than essential. Long-term research was often perceived as slower and less attractive than immediate operational efficiency. Educational systems were gradually evaluated through short-term economic metrics rather than through their ability to cultivate critical reasoning, scientific depth, historical awareness, or institutional continuity.
There is a moment, subtle, almost imperceptible, that occurs in many organisations today. It happens in meetings that run flawlessly, in conferences that feel professionally orchestrated, in initiatives that follow well-established frameworks. Everything appears to function exactly as intended. Time is respected, formats are clear, outputs are produced.
And yet something is missing.
Artificial intelligence is not merely a technological innovation. It represents a structural shift in how societies produce value, organize labor, and ultimately generate economic growth. In previous industrial transitions, machines replaced human physical effort while leaving cognitive work largely intact. Today, AI operates in a different domain: it targets repetitive cognition, the predictable patterns of thinking that underpin a large portion of modern economic activity.
We treated technology as a toolset—servers, networks, applications—something to be deployed, maintained, and occasionally fixed. The IT department became the custodian of this machinery: provisioning access, patching vulnerabilities, restoring what was broken.
But something fundamental changed.
Technology stopped being infrastructure and became cognition.
Algorithms don’t just execute—they decide.
Systems don’t just store—they interpret.
Platforms don’t just connect—they shape behavior.
And yet, we are still organizing ourselves as if “thinking with machines” were a specialized function delegated to a single department.
It is not.
It never was.
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