Today, public attention remains focused on increasingly capable models, astonishing demonstrations, and the race among technology companies to build systems that reason better, generate more convincing content, or solve increasingly complex problems. Yet beneath this visible competition, another transformation is taking place—one that may ultimately prove far more consequential.
There is something almost magical about the arrival of summer. Nothing changes overnight, yet one morning we wake up with the feeling that time itself has adopted a different rhythm. The days become longer, the light lingers into the evening, conversations seem less hurried, and even our thoughts appear to slow down. After months spent measuring our lives through meetings, deadlines, presentations and an endless stream of notifications, summer quietly reminds us that not every moment has to be productive to be meaningful. It offers us a rare opportunity to step outside the relentless pace that modern society has normalized and to reconnect with one of our most valuable, yet increasingly neglected, abilities: the ability to think.
Artificial Intelligence may become the most powerful technological innovation of our generation. Yet its greatest legacy may not be faster software, lower costs, or higher productivity. Its greatest legacy may be forcing organizations to distinguish, perhaps for the first time with complete clarity, between preserving what already works and having the courage to redesign what no longer does.
We live in a time in which Artificial Intelligence dominates conversations in boardrooms, conferences, universities, consulting reports, and media headlines.
Every week brings announcements of more powerful models, new applications, unprecedented capabilities, and increasingly ambitious predictions about the future of work and society. It is therefore understandable that many leaders perceive Artificial Intelligence primarily as a technological phenomenon, something that belongs to the domains of software, data, algorithms, and computational power.
Yet after spending more than four decades observing technological change, participating in digital transformation programmes, working across industries and institutions, and witnessing successive waves of innovation I have become increasingly convinced that the most important questions are rarely technological.
For much of my professional life, technology occupied the center of the conversation.
This was understandable. During the 1980s and 1990s, computing was still perceived as something exceptional. Organizations invested heavily in information systems because they believed, often correctly, that technology would provide a competitive advantage. Information technology was visible. It was tangible. It was discussed in boardrooms and executive meetings. New systems represented progress, and the people who managed those systems often found themselves close to the center of organizational decision-making.
The most mature organizations understand that integration is a reciprocal process. It requires effort from the individual, but it also requires openness from the organization. The newcomer must learn the culture, while the organization must remain curious about the knowledge and experiences being introduced. Without this reciprocity, integration risks becoming simple assimilation, and assimilation rarely generates innovation.
Every generation tends to believe that it is living through unprecedented technological change. Looking back through history, however, one discovers that this perception is not entirely new. The arrival of the printing press transformed the circulation of knowledge. The industrial revolution reshaped production and society. Radio and television altered the way information reached people. The Internet compressed distances that had previously seemed insurmountable. Today, Artificial Intelligence is forcing us once again to reconsider how knowledge is created, distributed and consumed.
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
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