When ‘The Age of AI’ Was Coming
Five years after its publication in 2021, The Age of AI: And Our Human Future reads less like a “future-oriented” book and more like an account of what has since become reality.
In their bestselling book on artificial intelligence, Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher recognized that the decisive change would not be a gadget or a single breakthrough, but rather a transformation in how our world is organized.
According to the authors, this transformation encompasses several questions, such as:
“What do Al-enabled innovations in health, biology, space, and quantum physics look like? What do Al-enabled “best friends” look like, especially to children What does Al-enabled war look like? Does Al perceive aspects of reality humans do not? When AI participates in assessing and shaping human action, how will humans change? What, then, will it mean to be human?” (p. 5)
These questions are fundamentally philosophical and political. They explore what constitutes knowledge, agency, and responsibility — even “reality” — when AI enters domains such as medicine, warfare, and scientific discovery. These questions, in turn, raise ethical, governance, and social issues.
Such questions also address epistemological and metaphysical concerns, such as whether AI can detect patterns or dimensions of the world that humans cannot and what that would mean for human self-understanding. They converge on a central anthropological question: If AI helps assess and direct human actions, how will autonomy or identity evolve, and what will remain distinctive about being human?
Five Years On
The book is structured as a series of expanding circles. The seven chapters progress from an overview of “Where We Are” to the ethical and institutional implications of “AI and the Future.” This structure reflects the authors’ idea that AI will change how humans experience reality and perform more tasks, affecting various aspects of life and society.
The authors consider this change comparable to epochal revolutions, such as the Enlightenment’s celebration of reason. They argue that AI is not “an industry” or “a single product,” but a technology that will permeate research, education, logistics, defense, culture, and everyday decision-making because it can “learn, evolve, and surprise” (p. 4).
They present opening examples, such as deep learning–based antibiotic discovery at the Massachusetts Institute of Technology (MIT), as metaphors for a new kind of cognition operating alongside our own. Regarding MIT’s use of AI in their research on new antibiotics, they emphasize that
[…] by training a software program to identify structural patterns in molecules that have proved effective in fighting bacteria, the identification process was made more efficient and inexpensive. The program did not need to understand why the molecules worked — indeed, in some cases, no one knows why some of the molecules worked. Nonetheless, the AI could scan the library of candidates to identify one that would perform a desired albeit still undiscovered function […]. (p. 10)
And they add:
The AI that MIT researchers trained did not simply recapitulate conclusions derived from the previously observed qualities of the molecules. Rather, it detected new molecular qualities — relationships between aspects of their structure and their antibiotic capacity that humans had neither perceived nor defined. (p. 11)
The discovery of this new antibiotic, called Halicin, suggests that machines can devise strategies humans neither programmed nor conceived. This also forces us to ask what the machine has identified in a bounded domain that we have not, and what this or other AI might figure out that we have not yet (and possibly will not ever be able to without AI assistance).
Knowledge After Reason
The book’s most interesting contribution is its assertion that AI is fundamentally epistemological. It questions what constitutes knowledge and the process of transforming information into knowledge. According to the authors, the internet has already inundated the mind with decontextualized fragments, and AI systems — especially those embedded in search, recommendation, and personalization — complete this transformation by becoming permanent companions in the perception and processing of information.
The authors’ philosophical framework is unusually explicit for a bestselling book on technology. Among other references, Descartes, Kant’s “thing-in-itself,” Wittgenstein’s “family resemblances,” and twentieth-century physics — which destabilized naive objectivity — all serve as lenses for understanding AI’s alternative access to reality. The authors’ recurring question, whether AI approaches the same reality from a different standpoint or reveals partially overlapping realities, gives the book its haunting tone.
Henry Kissinger’s influence is most evident at the intersection of AI and strategy, particularly in deterrence and escalation. There is a growing concern that militaries may adopt tactics influenced by pattern recognition that surpass human calculation. The book emphasizes that traditional concepts of deterrence and even the laws of war may deteriorate or require fundamental adaptation if autonomous or semi-autonomous systems begin to select targets or execute engagements. The book also ties cyber operations to unpredictability. As AI is grafted onto cyber weapons, their discriminating potential and capacity for cascading damage coexist, blurring the distinction between conventional and exceptional force.