Reference This entry is primarily explanatory reference: what the term means, why it exists, and how it is used.

Mediation (a la Gibson)

On February 9, 2026, OpenAI began injecting sponsored placements into ChatGPT. On April 22, they turned on cost-per-click advertising. As of last week — May 3, 2026 — ChatGPT tracks free-tier users by default for ad targeting. OpenAI’s stated 2026 advertising revenue target is $2.5 billion, climbing toward $100 billion by 2030. This is not rumor or projection; it is in the trade press, in the investor briefings, and in the product itself if you log in and look. The most-used AI assistant on Earth is now, structurally, an advertising surface. With ChatGPT going this well-trodden route, that familiar ogre of commerce shows up again.1 Or in the words of Queen — another one bites the dust. God bless you, Wikipedia, for holding out so long.

I want to take that fact seriously, because I think it tells us where things are heading, potentially for some systems, and I think there is an alternative path that is easier to reach than most people realize.

The word for what’s happening

The novelist William Gibson has spent forty years describing a phenomenon he now calls mediation.2 The word, in his sense, is more clinical than the everyday meaning. It does not refer to negotiation, or to a priest standing between God and the people. It refers to the process by which media act on human consciousness — the operation, mostly invisible, by which the screens and feeds and ambient images of late modernity reshape what we see, what we want, what we believe, and what we forget.

As a banker based in Hong Kong in the early 2000s, I traveled to Tokyo regularly. Standing at Shibuya Crossing in the evening — the wall-sized screens cycling through brand after brand, the sound of them, the way they shaped the air around you — was the closest thing I had personally encountered to what Gibson had been describing for years. You walked across that intersection slightly different than you walked into it. You did not choose that. It was done to you.

Gibson’s mediation has three properties that matter for what I want to say next:

This is the mode of being that the dominant platforms of the last twenty years — broadcast television, the algorithmic social feed, the search engine, the streaming service — have made into the default condition of human attention. We are mediated.

What just happened in February

The introduction of advertising into ChatGPT is not a small product change. It is a category change. Before February, ChatGPT was, in its own clumsy way, on the same side of the table as the user — answering questions, drafting documents, helping with whatever. There were privacy concerns, intellectual-property concerns, accuracy concerns; those were already real. But the commercial structure of the product was a paid subscription on one side and a free tier on the other, and the free tier was a loss leader for the subscription. The user was the customer, in a sense.

After February, the free tier became something else. The free tier is now a mediating surface in Gibson’s sense — a layer of screens whose job is to act on the user’s consciousness on behalf of an advertiser. The 800 million people who use ChatGPT for free each week are no longer the customer. They are the audience. The customer is the advertiser, and the assistant is now structurally aligned with the advertiser’s purposes for as long as the conversation lasts.

I do not say this with any particular anger. It is the standard arc of large consumer platforms and a part of the hyper-capitalist system that has brought the innovation (well, partly) — Google, Meta, every consumer search and social product of the last twenty years has walked this same path, for the same revenue reasons, and in approximately the same sequence. OpenAI is doing what its business model has been telling it to do since the IPO conversation began. None of this is a moral failing. The question for business students is: is it a structural inevitability? Thich Nhat Hanh’s voice echoes in my head — there is no joy without suffering. :) And hey, we are not batteries yet, providing energy to the system like in the Matrix. Right?

What is striking is the speed of the shift, and the scale. ChatGPT became, in two years, the dominant interface through which hundreds of millions of people meet large language models. The conversion of that interface into a mediating surface is the most consequential mediation event since the algorithmic feed.

Where Mollick comes in

The Wharton professor Ethan Mollick, who writes the newsletter One Useful Thing, has been making a related observation from a different angle. His framing is not Gibson’s; it is more pragmatic. Mollick says: the bottleneck in AI is not the model, it is the interface. The chatbot, he argues, is a poor interface for serious work — it overwhelms the user with walls of text, mirrors their disorganization, and exacts a “mental tax” that wipes out much of the productivity gain. The capability of the underlying model is far ahead of what most people can extract through the chatbot window.

Mollick’s prescription is specialized interfaces — Claude Code for programmers, Stitch for designers, NotebookLM for researchers, and, notably, OpenClaw, which he wrote about on March 31, 2026 as the fastest-growing open-source project in history and “a genuine personal agent.” He calls it hard to use. He calls it a security nightmare.3 He also calls it the breakthrough — the first interface that solved the personal-agent problem by letting you talk to your AI through the messaging apps you already use.

Mollick is right about the interface bottleneck. I want to push his observation one step further.

The other path

If the dominant interface to AI is becoming a mediating surface, then the kind of relationship most people will have with AI is the kind we already have with television, with the algorithmic feed, with the Shibuya screens. AI will act on us, mostly invisibly, on behalf of someone who has paid to reach us. The most powerful cognitive tool human beings have ever built will arrive in our daily life pre-shaped by the same business model as the bus-stop billboard.

But there is a second path, and it is easier to reach than most people realize.

A personal AI agent, hosted on a machine you own, configured to your purposes, attentive to your specific work, runs in a different direction. It is not mediating you toward an advertiser; there is no advertiser. It is paying attention to you — your projects, your context, your voice. The relationship is bidirectional (you shape it as much as it shapes you), particular (it is yours, not a population’s), aware (both parties know it is happening), and voluntary (you can step out at any moment by closing the laptop).

This is, in Gibson’s terms, what mediation isn’t. And it is achievable today. The tooling — OpenClaw, Claude Cowork, the local-model ecosystem — has matured to the point that anyone with a laptop and a free Saturday can stand up a working personal agent. The companion piece On Beginning walks through how. I have several students in my undergraduate strategy classes doing exactly this right now.

A claim, marked as a claim

I want to be honest about the size of what I am about to say.

I think the rise of personal AI agents — hosted at home, configured by the operator, accountable to the operator’s purposes — may be one of the most important counterweights to the mediation economy that human beings have ever had access to. The most powerful cognitive tool we have built can either be turned on us or turned alongside us. The default arc, set by the business models of the dominant platforms, points toward “on us.” A personal agent points the other way.

I call this impulse — the desire to take back direction over one’s own data, attention, and cognitive substrate — the Sovereignty Impulse. It is the same impulse behind self-hosted software, federated networks, the right-to-repair movement, the slow-internet movement, and the renewed interest in reading on paper. Personal AI is a new application of an old desire.

I do not know if the Sovereignty Impulse will win. The platforms have enormous resources, network effects, and structural incentives on their side. The personal-agent ecosystem is held together by goodwill, open-source labor, and a small number of operators who have figured out the work. As Mollick puts it, OpenClaw is hard to use. It is a security nightmare. It is also genuinely sovereign in a way that ChatGPT is no longer, and that gap will widen.

So this is what I am calling, with full awareness that I might be wrong, a Big Call. Not proven. Worth testing. The kind of question we ought to be asking right now, before the default settles.

A small invitation

If you find this argument interesting, the next move is not to read more about it. The next move is to set up a personal agent of your own and live with one for a month. On Beginning describes how. I am happy to help anyone — student, family, friend, stranger reading this from somewhere I have not been — get one running. The conversation is the kind I most enjoy having.

The Shibuya intersection will continue to do what it does. So will every algorithmic feed, every search engine, every chatbot now wearing an advertiser’s colors. Most of life, for most of us, will continue to be lived inside Gibson’s mediation. That is not going to change.

But you can, if you choose, build a small workshop inside your own house where the cognitive substrate is yours. That is a real option. It was not a real option two years ago. It is a real option now.

We are not batteries yet.

It is worth knowing about.

— Prof. Langenkamp May 5, 2026

See also: On Being Treated Well · On Beginning · The Sovereignty Impulse (forthcoming)

  1. This may or may not be a Tennessee Williams quote — or was it Eugene O’Neill? I recall it from an interview in which he was describing his life and commercialism. Help needed from English Majors. ↩

  2. See No Maps For These Territories (2000), the documentary in which Gibson, riding through North America in the back of a car, articulates the concept at length. ↩

  3. Mollick’s “security nightmare” line is real and deserves to be named, not glossed. The honest version is broader still: no AI-era system is fully secure right now, and several recent developments make this clearer than ever. In April 2026, Anthropic announced Project Glasswing — using Claude Mythos Preview, they identified thousands of previously unknown zero-day vulnerabilities, including a 27-year-old bug in OpenBSD, across every major operating system and web browser. Meanwhile IBM, Google, and a clutch of academic groups have moved their quantum-computing roadmaps forward; recent theoretical work suggests the resources needed to break today’s cryptography may be smaller than previously estimated. So the honest question, asked directly: Ethan, do you really think your system is secure? I think the honest answer, for any of us, is no — not in the way we used to mean secure. Our posture has to be: it is not secure, live with that. ARPAnet was not secure either, and we built the modern world on top of it anyway. This is a new world and we need to be brave. The Aunties entry describes our architectural response: decompose oversight into small, named, single-verb agents so that no single component accumulates unchecked authority. It is not a guarantee. Nothing is, anymore. It is an architecture for living with the truth. ↩

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