Nietzsche and Artificial Intelligence: Nihilism and the Future of Human Meaning

From nineteenth-century nihilism to twenty-first-century superintelligence: What happens when intelligence ceases to be a distinguishing characteristic of human beings?

Throughout different periods of history, societies have sought to answer questions that remain part of our everyday experience. Why do we exist? What makes a life valuable? Where do our convictions about good, evil, truth, and justice come from? For centuries, a significant part of the European tradition found answers through religion and philosophical conceptions that attributed a higher order to existence. These answers were never universal or uncontested, but they provided points of reference for organizing behavior, institutions, and expectations. What would happen when they ceased to exercise the authority that had guided collective life for so long?

This question runs throughout the work of Friedrich Nietzsche, a German philosopher born on October 15, 1844, in Röcken, then part of Prussia. The son of a Lutheran pastor, he lost his father during childhood and grew up in an environment deeply shaped by religious education. His intellectual development, however, led him to critically examine beliefs he had known from an early age. He studied classical languages, literature, theology, and philology, a discipline devoted to the historical study of texts and languages. In 1869, at the age of 24, he became a professor of classical philology at the University of Basel in Switzerland. Later, persistent health problems forced him to abandon his academic career in 1879, without bringing his philosophical reflections to an end.

Nietzsche lived in a century marked by industrialization, the growth of cities, and transformations in scientific knowledge. The investigation of nature, the historical study of religious traditions, and new theories about the origin of species expanded the possibilities for questioning inherited explanations. The publication of Charles Darwin's On the Origin of Species in 1859 became one of the milestones of this intellectual transformation. This did not mean that religion disappeared or that all traditional convictions had been proven false. Above all, it meant that explanations once regarded as unquestionable now had to coexist with other ways of understanding the world.

It was in this context that Nietzsche formulated one of his most famous statements: "God is dead." Presented with particular force in The Gay Science, published in 1882, the phrase does not describe the literal death of a deity. Nor is it merely a personal declaration of atheism. It represents a diagnosis of a cultural transformation: the weakening of belief in an absolute religious foundation capable of justifying truth, values, and the purpose of existence. A society could continue following inherited rules even after losing confidence in the authority that had previously sustained them.

This situation brings us closer to the concept of nihilism. The word derives from the Latin nihil, meaning nothing, but in Nietzsche's thought, it cannot be reduced to the simplistic claim that nothing matters. Rather, it refers primarily to the crisis that emerges when values considered fundamental lose their force and cease to provide convincing guidance. A person may continue working, studying, and fulfilling responsibilities while no longer finding sufficient justification for their choices in traditional answers. The problem is not simply the absence of activities; it is the loss of the meaning once attributed to them.

Nietzsche recognized that this crisis could produce resignation, exhaustion, and an inability to imagine alternative horizons, characteristics associated with passive nihilism. It could also encourage an attitude of questioning established points of reference, closer to the idea of active nihilism. However, destroying certainties does not automatically mean creating better values. His philosophical inquiry demands something more difficult: understanding why certain convictions acquired authority and evaluating whether they still deserve our allegiance. It is within this framework that his genealogy of values takes shape, a method of investigating the historical and psychological conditions under which our moral judgments were formed.

The possibility of overcoming inherited values also appears in the figure of the Übermensch, generally translated as the overman or superman, introduced in Thus Spoke Zarathustra. This is not simply an individual who is physically stronger or intellectually more capable. The figure is associated with self-overcoming, the affirmation of existence, and the creation of new values. This does not make Nietzsche a defender of contemporary moral principles: his positions on equality and hierarchy remain controversial. What matters for this essay is the demand to examine the foundations of our choices rather than accepting them merely because they have been handed down through tradition.

Two other ideas deepen this reflection. Eternal recurrence invites us to imagine living our entire existence again, repeating every joy, loss, decision, and difficulty. Rather than a scientific prediction, this hypothesis can be understood as a provocation concerning our ability to affirm life itself. Amor fati, a Latin expression meaning love of fate, adds a willingness to embrace existence without relying on the fantasy of retrospectively erasing all its contradictions. This does not mean accepting injustice or abandoning efforts to transform the world; it means recognizing that the value of life cannot be reduced to the pursuit of an idealized version of it.

These questions emerged in a context very different from our own. Nietzsche died in 1900, before the emergence of modern computers, and he never formulated a theory of artificial intelligence. Nevertheless, his investigation of values offers a perspective from which to examine a new source of uncertainty. In the nineteenth century, the declining authority of traditional religious frameworks called seemingly stable foundations into question. In the twenty-first century, the development of artificial intelligence invites us to examine another conviction: that our intellectual superiority provides a secure foundation for defining the importance of human existence.

Throughout much of history, we developed a privileged understanding of our place in the world based on abilities such as reasoning, creating tools, producing knowledge, composing music, developing theories, and transforming nature. Although other species also demonstrate different forms of intelligence, the complexity of human achievements has helped sustain the conviction that human intellectual abilities are exceptional.

Artificial intelligence introduces a difficulty into this interpretation. We are building computational systems capable of performing activities that, until recently, we associated with the most sophisticated manifestations of human thought. And the philosophical problem begins when we realize that certain cognitive abilities can be reproduced or surpassed without necessarily depending on a biological brain.

To understand this transformation, however, we must distinguish what artificial intelligence is already capable of accomplishing from predictions about what it may achieve in the future.

The scientific origins of modern artificial intelligence date back to the 1940s, when researchers began developing mathematical models inspired by the functioning of neurons in the human brain. In 1943, the first theoretical models of artificial neurons emerged, while artificial intelligence would become established as a field of research in 1956. Since then, different approaches have sought to develop computers capable of representing knowledge, recognizing patterns, learning from examples, and solving problems. Advances in artificial neural networks (systems composed of interconnected mathematical units that process information), deep learning (a technique that uses neural networks organized into multiple layers to identify complex patterns), and large language models (systems trained on vast amounts of text and other data to interpret instructions and generate language) have dramatically expanded these possibilities. Today, these technologies enable artificial intelligence systems to produce texts, write computer programs, analyze documents, and solve problems that require different forms of reasoning.

In 2026, the capabilities of artificial intelligence extend far beyond the text-based conversations that popularized tools such as ChatGPT. Whereas the most impressive feature was once the ability to ask a question and receive a well-crafted answer, these systems can now also interpret images, recognize speech, analyze documents, write computer programs, and even execute sequences of tasks using other digital tools. It is like moving from a technology we can converse with to one that, in addition to responding, can participate in performing complex intellectual activities, some of which, until recently, required specialized knowledge and hours of human work.

The AI Index 2026 report, produced by Stanford University, documented significant advances in the performance of artificial intelligence systems on assessments involving mathematics, programming, and scientific knowledge. On certain standardized tests, models matched or surpassed human benchmarks. However, the same report also revealed important limitations: systems capable of solving intellectually sophisticated problems still make mistakes on seemingly simple tasks and struggle with reliability during extended operations.

This contradiction is fundamental. Surpassing humans on certain assessments does not mean possessing superior intelligence across every domain. Computational performance, operational autonomy, understanding, and consciousness are dimensions that must be examined separately.

Even so, recent advances have introduced an extraordinary possibility: the growing participation of artificial intelligence in scientific development itself. Systems already assist in formulating hypotheses, programming, analyzing results, and organizing experiments. Research published in 2026 also examined architectures capable of coordinating different stages of scientific investigation, although limitations related to reliability, validation, and supervision remain.

It is precisely at this point that one of the most controversial hypotheses about the technological future emerges: recursive self-improvement.

The idea involves the possibility that artificially intelligent systems could contribute to developing progressively more capable versions of themselves. One generation of systems could help improve the next, establishing successive cycles of improvement. If this process accelerated significantly, we might witness what has come to be known as an intelligence explosion.

This hypothesis is not a recent discovery. Since the mid-twentieth century, researchers have discussed the possibility of machines intellectually superior to humans participating in the development of even more advanced systems. However, demonstrating progress in research automation does not prove that this process could continue indefinitely.

There are limitations involving computing infrastructure, energy, data, experimentation, and scientific validation. Future development also depends on discoveries that cannot simply be taken for granted. For this reason, speculation about the imminent emergence of superintelligence must be distinguished from capabilities that have actually been demonstrated.

This distinction requires understanding three concepts that are frequently confused. Artificial intelligence broadly refers to systems capable of performing tasks associated with intelligence. Artificial general intelligence, known as AGI, represents the possibility of systems possessing broad and adaptable capabilities across numerous cognitive domains, although there is no universal consensus on the criteria required to establish its existence. Artificial superintelligence, or ASI, corresponds to a more ambitious scenario: systems capable of vastly surpassing human intellectual performance across an extensive range of activities.

As of October 2026, there is no widely accepted scientific demonstration that artificial superintelligence, in this broad sense, has already been developed. However, the absence of such a demonstration does not make investigating its possible consequences irrelevant.

The International AI Safety Report 2026 acknowledged significant advances in mathematics, programming, and operational autonomy, but also highlighted uncertainties concerning the evolution of capabilities and the risks associated with systems becoming increasingly independent of human intervention. The question no longer concerns only what an artificial intelligence system can answer, but also what it can actually execute and what consequences its actions may produce.

The possibility of intellectually superior systems raises another question: would an extraordinarily intelligent machine necessarily be conscious?

The answer remains unknown. Recent research seeks to identify indicators of artificial consciousness based on neuroscientific theories, but there is no scientific consensus on criteria sufficient to demonstrate the presence of subjective experience in a machine. Producing convincing responses, solving problems, or describing emotions does not, in itself, prove that any conscious experience exists behind these behaviors.

This distinction is especially important because we tend to use human expressions to describe computational processes. We say that an artificial intelligence system understands, decides, or desires a particular outcome. However, these words may serve as practical descriptions of technical operations without demonstrating the existence of the psychological states we normally associate with them.

Even a future superintelligence, should one emerge, would not automatically possess moral superiority, consciousness, or legitimacy to determine human values. The ability to discover a solution does not, by itself, demonstrate that the solution is ethically desirable.

It is precisely here that Nietzsche's philosophy returns to the center of the inquiry.

In On the Genealogy of Morality, published in 1887, the philosopher examined the historical and psychological origins of moral judgments. His concern was to investigate how certain values emerged, acquired authority, and came to be regarded as natural or unquestionable. Rather than simply accepting what a society defines as good or desirable, Nietzsche sought to understand the conditions that produced these judgments.

Applied to the contemporary world, this perspective allows us to formulate an uncomfortable question: why do we so often associate a person's worth with their intellectual abilities, productivity, and professional performance?

From an early age, we learn that studying, acquiring knowledge, developing skills, and producing results are ways to gain recognition and autonomy. These activities have real importance, but the problem arises when we begin to confuse individual abilities with the very value of existence.

Imagine someone who has devoted decades to studying a scientific discipline. Their knowledge has become part of their identity, their professional recognition, and the way they understand their contribution to society. Now imagine that an artificial system can perform, in just a few minutes, certain activities that required years of human learning.

Does that person's knowledge automatically lose its meaning?

The answer does not depend solely on a comparison of performance. It also involves the experience of learning, social recognition, relationships established throughout life, and the meaning attributed to work. However, a society that predominantly values productivity and efficiency may struggle to recognize these other dimensions.

This possibility allows us to formulate a hypothesis that we might call technological nihilism.

The expression was not coined by Nietzsche. In this essay, it represents a contemporary interpretation inspired by his philosophical inquiry: the possibility of a crisis of meaning caused by the weakening of values that associate human importance with intellectual superiority and the exclusive possession of certain abilities.

Humanity is developing artificial intelligence to expand its capabilities, but in the process, it may discover that it has built a significant part of its identity on the conviction that it possesses abilities no other entity could ever achieve.

This situation does not mean that artificial intelligence will necessarily produce a widespread existential crisis. Its effects will also depend on social, economic, cultural, and institutional choices. Nevertheless, this possibility reveals a fragility in contemporary values that deserves examination.

Another contribution of Nietzsche's philosophy lies in perspectivism, his reflection on the influence of perspectives and interpretations in the construction of knowledge. The philosopher questioned the claim that we can achieve an understanding completely independent of the conditions under which we interpret reality, without this necessarily implying a denial of the existence of facts.

Artificial intelligence also compels us to reflect on this issue. Computational models are developed using data, architectures, training criteria, and decisions established by human beings and institutions. Their responses do not emerge from a culturally neutral environment.

Consequently, when we discuss aligning artificial intelligence with human values, we encounter a difficulty that cannot be resolved exclusively by increasing computational capacity: which values should guide these systems? Who has the legitimacy to define them? How can different conceptions of justice, freedom, security, and responsibility be reconciled?

An artificial intelligence system may become extraordinarily efficient at achieving a particular objective without demonstrating that the objective itself is morally desirable. The question extends beyond computer engineering into the realm of human and institutional choices.

There is also a tempting association between artificial superintelligence and the Übermensch, a concept introduced by Nietzsche in Thus Spoke Zarathustra, generally translated as the overman or superman. However, it would be mistaken to interpret this philosophical figure as a prediction of the emergence of intellectually superior machines.

Nietzsche's overman is associated with self-overcoming, the affirmation of existence, and the creation of new values. The concept cannot be reduced to processing speed, the accumulation of knowledge, or the ability to solve problems. Artificial intelligence may surpass certain human abilities without this automatically representing the philosophical self-overcoming proposed by Nietzsche.

This distinction allows us to revisit another fundamental concept: eternal recurrence.

In The Gay Science, Nietzsche invites the reader to imagine having to live their entire existence again, repeating every joy, loss, decision, and difficulty. This provocation allows us to ask whether we would be capable of affirming life itself without depending on the promise of an ideal reality, free from suffering and contradictions.

In a civilization driven by technological acceleration and the constant pursuit of superior systems, this question takes on an unexpected dimension.

If a machine could perform our intellectual activities more efficiently, would we still find meaning in learning, writing, researching, and creating? Or have we so thoroughly conditioned the value of our experiences on the superiority of our performance that we are beginning to regard human existence itself as insufficient?

A musical composition produced by artificial intelligence does not necessarily eliminate the meaning of the experience of someone learning to play the piano. A system capable of writing a novel does not make irrelevant the personal journey of someone who finds in literature a way of understanding the world. Likewise, the automated discovery of a medical treatment does not erase the importance of the human experience of caring for another person.

The result produced and the meaning attributed to an activity are not necessarily equivalent.

This does not mean ignoring the economic and social transformations resulting from artificial intelligence. The replacement of certain professional activities, the concentration of technological capabilities, and growing dependence on computational systems may produce concrete consequences that require institutional and political responses. Philosophy does not replace these responsibilities.

It would also be incorrect to portray Nietzsche as a defender of contemporary principles of equality and human dignity. His philosophy contains positions critical of egalitarianism that must be acknowledged. What we can draw from his thought, without attributing to him ideas he did not defend, is the demand to critically investigate the foundations of the values that guide our existence.

It is from this demand that this essay develops its central reflection: if we believe that the value of an existence should not depend exclusively on productivity or intellectual superiority, we must preserve and justify that commitment even in a world where machines may surpass numerous human capabilities.

Nietzsche never encountered computers, artificial neural networks, or systems capable of developing programs and participating in scientific research. His philosophy emerged from historical problems profoundly different from those we face today. Nevertheless, his questions remain relevant because they compel us to examine convictions that we frequently accept without questioning.

In the nineteenth century, Nietzsche investigated what would happen to Western values as their traditional foundations weakened. In the twenty-first century, artificial intelligence introduces another possibility: that a civilization may discover that its intellectual superiority no longer constitutes a sufficiently secure characteristic to justify its privileged position in the world.

Perhaps the greatest challenge posed by artificial intelligence is not simply to build systems more intelligent than ourselves, but to discover that we have associated a significant part of the meaning of existence with the conviction that we are intellectually superior to every other form of intelligence.

If that certainty ceases to provide us with a sense of security, we will need to confront a question similar to the one that runs throughout Nietzschean philosophy: what remains of our values when one of the convictions used to justify them disappears?

The answer does not require rejecting technological progress or regarding superintelligence as an inevitable destiny. It requires recognizing that cognitive performance, consciousness, moral legitimacy, and the meaning of existence are distinct dimensions.

Intelligence may cease to be a distinguishing characteristic of human beings. But that does not mean human existence must lose its meaning.

Perhaps the true philosophical transformation of our time lies in recognizing that the value of life should never have depended on our intellectual superiority over any other form of intelligence.