Pennings, A.J. (2026, Jun 25) Marshall McLuhan and the Age of the LLM: The Medium is the Prompt. apennings.com https://apennings.com/telegraphic-political-economy/marshall-mcluhan-and-the-age-of-the-llm-the-medium-is-the-prompt/

Introduction

If Marshall McLuhan were to prompt a modern Large Language Model (LLM) interface today, he would not see a tool for writing essays or generating software code. He would recognize it instantly as a totalizing electronic environment that has externalized the contents of the human mind and transformed it into a global infrastructure.[1]

To understand the social and psychic impact of LLMs through a McLuhanite lens, we must look past the content of the machine’s outputs and examine how the medium itself alters the ratio of our senses, our cognitive habits, and our institutional power structures.

McLuhan shifted focus away from the content of media to the invisible structural environments they create, predicting the transition from the linear, fragmented world of print culture back into an instantaneous, interconnected electronic climate long before the advent of the Internet and AI.[2]

The Externalization of the Central Nervous System

McLuhan’s core thesis in Understanding Media (1964) was that all media are extensions of human faculties. Writing extended memory; print extended visual cognition. Electronic media, McLuhan argued, went a step further. They extended the human central nervous system into a global embrace, abolishing both space and time.

With AI LLMs, this externalization has reached its logical, radical culmination. LLMs do not merely extend a singular faculty like sight or hearing; they extend the cognitive process of linguistic synthesis itself.

The trillions of parameters inside a neural network represent a frozen, digitized collage of the human collective unconscious—the sum total of our recorded text, history, literature, and dialogue, scraped and compressed into an interactive mathematical space. By interacting with an LLM, the human mind is no longer looking at an extension; it is plugged directly into an externalized, simulated version of its own thought patterns.

The Medium is the Prompt, Not the Content

The dominant public debate surrounding AI focuses almost entirely on its “content.” Is the model hallucinating? Is the text plagiarized? Is the output biased? McLuhan famously dismissed this focus on content as the blind spot of the technological observer, comparing content to “the juicy piece of meat carried by the burglar to distract the watchdog of the mind”[3]

The true “message” of the LLM is the structural change it introduces to human affairs. The message of the LLM is the obsolescence of linear information retrieval. For nearly three decades, the primary interface of the digital age was the search engine, a typographic environment where humans navigated a visual index of static documents.

The LLM replaces retrieval with immediate, synthetic generation. The medium changes the human psychic habit from searching to prompting. Knowledge is no longer an artifact to be found in a specific spatial location (a library or a web page); it is a fluid state that is conjured into existence through dialectical interaction.

The Retrieval of the Tribal Oracle

In Laws of Media: The New Science (1988), Marshall and Eric McLuhan outlined the tetrad framework, noting that advanced electronic media routinely retrieve ancient, pre-literate psychic states that were suppressed by the visual linearity of the printing press.

LLMs exhibit this retrieval with startling clarity, plunging current society back into an acoustic, tribal relationship with information. In alignment with Walter Ong (1982), McLuhan noted that electronic media return us to oral structures. The LLM retrieves dialogue as the primary mode of knowledge validation. Rather than reading a static book, humans now talk to their data.[4]

For millennia, tribal societies consulted oracles, shamans, and diviners to interpret reality and predict the future. The prompt bar is the modern retrieval of the oracle. Modern users approach the interface not to issue mechanical code, but to ask: What does this mean? What should I do next?

Because the machine mirrors human linguistic responsiveness, society has re-entered an animistic relationship with technology, naturally projecting intent, spirit, and consciousness onto a probabilistic matrix of tokenized weights.

The Black Box and the Loss of the Human Author

The final law of the McLuhanite tetrad is reversal. When a medium is extended to the absolute limit of its velocity and scale, it flips into its opposite characteristics. Designed to enhance human intelligence and streamline human expression, the LLM at scale reverses into systemic opacity and the automation of cognition.

As these models grow in complexity, they become unexplainable “black boxes” even to the computer scientists who train them. The extension of intelligence reverses into the institutionalization of opacity.

Furthermore, as generative models saturate the digital environment with synthetic text, audio, and video, media ecology enters a stage of hyperreal decay as per Baudrillard, (1981). The medium reverses from a tool that assists human expression into an automated environment of operative mediation, where AI models train on AI-generated data, creating a closed loop of simulation that detaches society from physical and historical constraints.

Human agency is hollowed out. We shift from being the authors who use the medium to express intent, to being the data inputs processed by an automated infrastructure of linguistic and behavioral management.

The McLuhanite Conclusion

Marshall McLuhan would remind current society that we shape our tools, and thereafter, our tools shape us. The true impact of AI LLMs is not that they are becoming human, but that human institutions and cognitive habits are rapidly reorganizing themselves to match the statistical formatting of the machine.

By outsourcing the labor of synthesis, drafting, and dialectical reasoning to an external electronic oracle, we are rewriting our internal cognitive architecture. The spreadsheet turned the economy into a quantitative model; the LLM is turning culture itself into an automated, editable simulation.

In McLuhan’s view, humanity is trapped in a evolutionary spiral. We create media to alleviate the limitations of our bodies; those media distort our minds; and we are forced to create even newer media to fix the psychological wreckage caused by our previous inventions.

This is a variation from the Bolter and Grusin approach. When we look at the contemporary landscape, where we have migrated from static databases to the fluid, conversational canvas of AI, McLuhan’s emphasis on psychological trauma only explains half the equation. To understand the formal logic of why our media tools change shape, we must pivot to Jay David Bolter and Richard Grusin’s foundational framework of remediation (1999).[5]

For Bolter and Grusin, we do not constantly invent new media because our nervous systems are broken. We invent them because humans possess an escalating desire for a more authentic access to experience and reality.

My own work involves the historical progression of these media environments to mark a profound transition from representation to operative mediation. Earlier media primarily recorded or modeled the world; operative media directly organize, evaluate, and perform it.[]

References

Baudrillard, J. (1981). Simulacres et Simulation. Galilée.
Bolter, J. D., & Grusin, R. (1999). Remediation: Understanding New Media. MIT Press.
McKenzie, D. (2008) An Engine, Not a Camera
How Financial Models Shape Markets. The MIT Press.
McLuhan, M. (1964). Understanding Media: The Extensions of Man. McGraw-Hill.
McLuhan, M., & McLuhan, E. (1988). Laws of Media: The New Science. University of Toronto Press.
Ong, W. J. (1982). Orality and Literacy: The Technologizing of the Word. Methuen.
Pennings, A. J. (2026, June 24). McLuhan’s tetrad applied to the digital spreadsheet: From accounting tool to AI infrastructure. apennings.com.
Postman, N. (1992). Technopoly: The Surrender of Culture to Technology. Knopf.

Notes

[1] Marshall McLuhan (1911–1980) was a pioneering Canadian media theorist and literary critic who fundamentally reshaped how we understand the relationship between humanity and technology. Best known for coining the aphorisms “the medium is the message” and “the global village,” McLuhan argued that technologies are not passive tools, but extensions of the human body and central nervous system that alter our sensory balance and psychological habits. By shifting focus away from the content of media to the invisible structural environments they create, he predicted the transition from the linear, fragmented world of print culture back into an instantaneous, interconnected electronic climate long before the advent of the Internet.
[2] McLuhan achieved only limited academic success, compared to the popular sucess he garnered in the late 1960s and 1970s. The Media Ecology group is a notable exception, with Neil Postman, Christine Nystrom, and Lance Strate constantly fueling the flame. I was lucky to interact with them when I was at New York University. Media Ecology Reading List.
[3] McLuhan, M. (1964). Understanding Media: The Extensions of Man. McGraw-Hill. p. 18).
[4] Ong’s most profound warning about media was that technologies are not mere exterior aids; they interiorize themselves and transform human consciousness. By engaging in continuous, intimate dialogue with AI, humans project consciousness, empathy, and intent onto the machine, a psychological retrieval of animism. Because the LLM is highly responsive, it feels like an interior someone, rather than an exterior something. Ong might warn that by continually outsourcing our dialectical reasoning to an algorithmic interlocutor, we risk re-shaping our internal cognitive processes to match the sterile, probabilistic structures of the model. We don’t just change how we talk to the machine; the machine changes how we talk to ourselves.
[5] Bolter & Grusin’s view is that media are born from an ongoing aesthetic and cultural competition. Remediation is the structural requirement that every new medium must absorb, comment on, and refashion older media formats to establish its cultural authority. For them, digital media do not arise from a sudden rupture in the human nervous system; they emerge from a continuous lineage of artistic and representational practices.
[6] MacKenzie’s work targets a foundational belief that economic models are passive, descriptive tools. In the language of photography, most people view a financial model—or a spreadsheet as a camera. The market exists “out there” in the real world, and the model simply snaps a picture of its price movements, risks, and asset distributions. Using the language of philosopher J.L. Austin, MacKenzie countered that economic models are fundamentally performative. They do not describe an pre-existing condition; they make things happen.
AI Prompt(s) Write a blog post with references about what Marshall McLuhan would think about the impact of AI LLMs on current society. Note that I had already laid out a lot of information on AI LLMs that would color the response.

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Not to be considered financial advice. AI is often used, and results are thoroughly interrogated. Links are used for some citations.

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Anthony J. Pennings, PhD is a Professor at the Department of Technology and Society, State University of New York, Korea and a Research Professor for Stony Brook University. He teaches AI and broadband policy. From 2002-2012 he taught digital economics and information systems management at New York University. He also taught in the Digital Media MBA at St. Edwards University in Austin, Texas, where he lives when not in Korea.

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Category: artificial intelligence, data analytics and meaning, futurists, telegraphic political economy, visual literacy and rhetoric
Tags: Marshall McLuhan > Orality > performativity > remediation theory > Reversal > Walter Ong

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