09-24-2026, 08:46 PM
In “AI: A Very Human Tragedy,” Terry Eagleton argues that the danger posed by artificial intelligence should not be understood simply as a problem created by machines. Instead, AI exposes a much older human tendency: our capacity to create technologies whose power eventually exceeds our ability to control their consequences. Eagleton is sceptical that appeals to the moral responsibility of technology executives will be enough, particularly when economic systems reward innovation, expansion and profit. For him, the possibility of an AI catastrophe is therefore connected to a broader problem of humanity turning its own achievements into threats against itself.
Eagleton places this argument within the tradition of Greek tragedy, particularly the idea of hubris: humans overreach because they become convinced of their own power and intelligence. Humanity has gradually acquired technologies capable of enormous destruction, from weapons of mass destruction to advanced AI. The paradox is that the very intelligence that enables civilisation, medicine, communication and technological progress can also create mechanisms capable of undermining civilisation. Rather than an external monster destroying humanity, the “monster” may be something humanity itself has created.
A central idea is that human beings repeatedly create extensions of themselves that escape their control. Eagleton compares AI with the modern economic system: just as financial markets can become an autonomous force influencing people's lives, sophisticated technologies can develop consequences that no individual fully controls. Drawing on Marx, Freud, Shakespeare, Sophocles and other thinkers, he argues that human beings are caught between their extraordinary intellectual creativity and their physical vulnerability. Our minds allow us to transcend biological limitations, but this same capacity enables us to construct systems that can ultimately threaten our bodies and societies.
The article therefore presents AI as a manifestation of a much deeper human tragedy. Humanity cannot simply eliminate dangerous technologies because many of the same technological capabilities produce enormous benefits: hospitals, medicine, infrastructure and humanitarian systems depend upon complex technological extensions of human power. The fundamental challenge is learning how to control the consequences of our creativity without destroying creativity itself. Eagleton concludes that the real “monster” is not an external AI enemy but humanity's recurring tendency to mistake its technological power for unlimited power — a lesson illustrated by Oedipus, King Lear and Frankenstein.
Key takeaways
Source: Terry Eagleton, UnHerd, 23 September 2026. Read the full article on UnHerd
Eagleton places this argument within the tradition of Greek tragedy, particularly the idea of hubris: humans overreach because they become convinced of their own power and intelligence. Humanity has gradually acquired technologies capable of enormous destruction, from weapons of mass destruction to advanced AI. The paradox is that the very intelligence that enables civilisation, medicine, communication and technological progress can also create mechanisms capable of undermining civilisation. Rather than an external monster destroying humanity, the “monster” may be something humanity itself has created.
A central idea is that human beings repeatedly create extensions of themselves that escape their control. Eagleton compares AI with the modern economic system: just as financial markets can become an autonomous force influencing people's lives, sophisticated technologies can develop consequences that no individual fully controls. Drawing on Marx, Freud, Shakespeare, Sophocles and other thinkers, he argues that human beings are caught between their extraordinary intellectual creativity and their physical vulnerability. Our minds allow us to transcend biological limitations, but this same capacity enables us to construct systems that can ultimately threaten our bodies and societies.
The article therefore presents AI as a manifestation of a much deeper human tragedy. Humanity cannot simply eliminate dangerous technologies because many of the same technological capabilities produce enormous benefits: hospitals, medicine, infrastructure and humanitarian systems depend upon complex technological extensions of human power. The fundamental challenge is learning how to control the consequences of our creativity without destroying creativity itself. Eagleton concludes that the real “monster” is not an external AI enemy but humanity's recurring tendency to mistake its technological power for unlimited power — a lesson illustrated by Oedipus, King Lear and Frankenstein.
Key takeaways
- AI is presented as a human problem before it is a technological problem.
- Human beings repeatedly create technologies whose consequences can exceed their control.
- Profit incentives and economic structures may encourage technological development even when risks are substantial.
- The article connects AI risk with the ancient concept of hubris — overreaching because of excessive confidence in human power.
- Humanity's greatest strength — intelligence — can also become a source of vulnerability.
- Technology is essentially an extension of the human body and mind, but those extensions can acquire an apparent autonomy.
- Eagleton compares AI's autonomy with the modern financial system, which can profoundly shape human lives without being controlled by any single person.
- AI is not unique in creating existential risks: humanity has already developed technologies capable of destroying civilisation.
- The benefits and dangers of technology are inseparable: the same technological sophistication can produce medicine and humanitarian aid as well as weapons.
- The article's deeper message is that human beings themselves are the “monster” they fear — not because humanity is inherently evil, but because its creativity continually outruns its ability to manage the consequences.
Source: Terry Eagleton, UnHerd, 23 September 2026. Read the full article on UnHerd
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