Andrew McLuhan joins me to talk about what happens when AI is not only a tool that produces content but a new medium that changes how people perceive, work, and organize their lives.
Andrew runs The McLuhan Institute, the organization he started to carry on the work of his grandfather Marshall McLuhan and his father Eric McLuhan. We started with a small observation from Andrew’s post about language: LLMs are making people pay more attention to punctuation, grammar, sentence structure, and paragraphs.
That is a very McLuhanian place to begin. Rather than asking only what AI can produce, we ask what repeated exposure to it does to people. Andrew has spent more time watching how other people interact with these systems than playing with GPT or image generation himself, which makes this a conversation about effects, trade-offs, and the question of what a new technology changes besides the task it automates. We talk about AI as a language revolution on the scale of the spoken and written word, and about the new you that each technology creates at the expense of the old one.
From there, the conversation moves through speed and depth, media ecology, and agentic systems. Andrew tells the story behind Maelstrom Escape Strategies, and why each increase in speed can bring a decrease in depth. We talk about how organizations, farms, and societies are systems with non-human actors and environments, and why the thing we are focused on—the figure—can hide the ground that makes it possible.
We end with the tools Marshall and Eric left behind: scale, pace, and pattern; figure and ground; and the tetrad of what a technology enhances, obsolesces, retrieves, and reverses into. The point is not to make a prediction about AI. It is to give ourselves better questions, and to make the effects of the medium visible before they become normal.
Key Topics Covered
AI as a language revolution alongside speech, writing, print, and electricity.
Content versus medium: what a new technology changes in people, not only what it produces.
Trade-offs, values, and the story of the well and the arrival of plumbing.
Writing, reading time, AI-generated output, slop, and organizational alignment.
Speed versus depth, scale/pace/pattern, and *Maelstrom Escape Strategies*.
Agentic systems, farms, societies, and media ecology.
Sputnik, environments, and the idea that the environment is part of the message.
Hot and cool media, human response, and media ecology as an active practice.
Figure and ground, breakdown as breakthrough, and what disappears when AI is removed.
The tetrad: enhance, obsolesce, retrieve, and reverse.
Questions over answers, the bicycle-to-airplane analogy, and distrusting certainty.
AI as a mirror: Narcissus, perception, and the risk of mistaking the reflection for someone else.
Timestamps
00:11 - Opening: AI and media as a question about what happens to us
01:09 - Andrew’s introduction and the McLuhan Institute
06:22 - AI, language, and the Narcissus mirror
10:02 - Why new media create trade-offs rather than simple good or bad
11:35 - Values as the test for whether technology helps or harms
16:18 - Writing, AI, slop, and second- and third-order effects
20:44 - Connected systems, ecology, and where new bottlenecks appear
23:36 - *Maelstrom Escape Strategies* and learning inside the vortex
26:49 - Speed versus depth and choosing technology around values
28:37 - Agentic systems, farms, and non-human actors
29:30 - Media ecology as environment and action
32:13 - Sputnik and the origins of media ecology
36:29 - Hot and cool media
42:31 - Scale, pace, pattern; figure and ground; the practical toolbox
43:24 - AI as a mirror and the tetrad as a way to ask better questions
52:34 - Retrieve, reverse, rivers, and highways
56:34 - Why McLuhan’s predictions still feel current
58:51 - Bicycles, airplanes, and nonlinear change
01:00:05 - Answers are easy; questions are hard
01:02:27 - Where to start with McLuhan
Links & References
Andrew and The McLuhan Institute
Marshall McLuhan and media theory
Understanding Media from MIT Press
About Forward Deployed
Forward Deployed is a podcast about the intersection of AI, software development, and the enterprise. Subscribe if you are trying to understand what it means to build AI systems that work in the real world: systems with context, evaluation, workflows, failure modes, and some theory of how people and agents stay aligned.
