After reading Doug Shapiro (Season 2 Podcast Guest) on the next disruption of media…
(Honestly, you can read the below, or you can watch Doug’s keynote below… your choice. But most of what i’m saying, he says in 30 min… Are you a fast reader?)
Doug Shapiro has been giving a wonderful Keynote speech for the last year or two and it keeps getting better… its latest iteration he’s just given at the Academy of Television Arts and Sciences has a paper and presentation circulating on generative AI and media that are well worth your time.
(Please follow links at the end of this article)
Doug has done something very useful. He has taken a subject that is usually discussed either in the language of hype or fear and returned it to structure. He’s put generative AI back inside the longer history of media. Once you do that, you realize that the AI conversation is just the next turn of a wheel that has already been spinning for quite some time.
His central thesis is elegant and, I think, right.
The first great disruption of media was distribution. The next great disruption of media is creation.
It’s clean and clarifying. More to the point, it allows you to see why this moment feels so potent. Generative AI is not arriving into a settled media market. It is arriving into one already transformed, already loosened at the joints, already living with the consequences of the previous great upheaval.
The first great disruption was distribution
It is easy to forget how separate the old media world used to be. Records belonged to one system. Theaters to another. Newspapers to another. Broadcast television to another. Each had its own infrastructure, its own supply chain, its own economics, and its own keepers at the gate. The whole thing had the look of permanence because permanence is the schroud monopolies tend to wear.
Then digitization arrived and, with it, bits. A universal symbolic language for text, image, video, and audio. Once that happened, media could live in any system all at once. Media moved from siloed to unified, from one-way to two-way, from local to global, from physical infrastructure to virtual infrastructure. Then the economics followed. Scarce and expensive became abundant and cheap.
That was the internet’s great act upon media. It lowered the cost of moving bits. It made distribution vastly easier, vastly broader, and vastly cheaper. If you want to understand most of the turbulence of the last twenty years, that is the place to begin.
We are still living in the consequences of that first shift
One of the best lines in Doug’s deck is that most of the turbulence and displacement in media today is a lagging indicator of the last disruption. It explains the strange atmosphere of the business so well. For years now, media has carried that faint electric feeling of a house being renovated while everyone is still trying to hold dinner in the dining room.
Doug organizes the current state of media under six headings: stagnation, disintermediation, fragmentation, deflation, globalization, and concentration. That list reads like the recent minutes from every boardroom and agency offsite in the business.
Time spent with media has largely flattened. Growth becomes a fight for share. Middlemen are removed, then rebuilt in new guises. Audiences splinter into finer and finer pieces. Prices soften under the weight of expanded supply. Competition becomes global as a matter of course. Power concentrates upward even as participation broadens outward. It is quite the trick.
The creator side of this story matters enormously. Independents upload oceans of music. YouTube swallows Hollywood whole in terms of volume. Social video takes an ever larger slice of viewing. Mobile rewrites gaming. The creator media economy grows into a material share of the total market and, more importantly, a very material share of the growth. Supply, once kept in relatively dignified check by budgets, crew sizes, formats, and geography, begins to pour.
And as supply pours, attention gets more brutally concentrated. In the traditional distribution system, something like 10 percent of content accounts for 80 percent of viewing. In creator media, the curve gets dramatically steeper. It is closer to 1 percent accounting for 99 percent of the viewership.
That is an astonishing compression of outcomes. The head gets smaller, the tail gets longer, the middle gets thinner, and the economics become much more hit-driven.
That statistic helps explain why creator markets can feel both abundant and ruthless at the same time. There is more participation, more output, more access, and more possibility. There is also a fiercer concentration of attention. The prize pool gets larger, the field gets more crowded, and the winners take a disproportionate share of the day.
At the same time, audiences change. Their definition of quality changes. The old markers remain, of course. Famous actors still count. Big budgets still count. Production values still count. Prestige still counts. Brand names still count. Yet the center of gravity moves outward. Authenticity matters. Relatability matters. “Relevance to me” matters. Ease of finding matters. Digestibility matters. Social currency matters. A thing’s ability to travel through a group chat or a feed or a fandom starts to matter every bit as much as the money you can see on screen.
Doug’s framing around platforms is also very good. Traditional media is reflective. Social media is reflexive. Platforms have built enormously powerful systems around our biology: variable rewards, novelty, feedback loops, personalization, autoplay, infinite scroll, and the removal of stopping cues. That is not merely a cultural detail. It is one of the structural explanations for where attention went, why it stayed there, and why so much of media has spent the last decade learning to live on new terms.
All of that is the context for generative AI. And it matters. The next disruption is entering a market already reworked by the last one.
The next disruption is creation
This is where Doug’s argument becomes more than just neat. It becomes genuinely useful.
If digitization introduced a universal way to represent anything, his case is that generative AI introduces a universal way to create anything. In his deck, this appears as a second symbolic layer. The first layer eroded barriers in distribution. The next one erodes barriers in creation itself. Time, modality, state, and provenance all begin to loosen.
That has a very particular texture.
- Human-constrained becomes machine-scaled.
- Time-constrained becomes real-time.
- Single modality becomes multimodal.
- Discrete provenance becomes fluid provenance.
- Finished state becomes fluid state.
Then the economics change again.
Scarce and expensive becomes abundant and cheap.
Doug places the internet and generative AI side by side in one of the strongest slides in the deck. The internet collapsed the cost to move bits. GenAI may collapse the cost to make bits.
It is one of those sentences that enters the mind quietly and then starts rearranging the furniture.
Because that is a much deeper change than most current conversations about AI allow. This is not about faster workflows or cheaper asset production or amusing tools that can make a storyboard in thirty seconds. It is about creation itself beginning to behave like an abundant input.
That changes everything downstream.
Why this one may move faster
There is a temptation, especially among people in established industries, to imagine that every great shift must unfold with the stately rhythm of the previous one. Doug is persuasive on why this one may move more quickly.
First, there is the matter of scale. Hollywood produces roughly 15,000 hours of content per year. YouTube sees something like 300 million hours uploaded annually. Internet-scale volume has already arrived. If even a microscopic percentage of that begins to compete on a level audiences find viable, the implications are obvious. A little quality in a great sea of quantity goes a surprisingly long way.
Second, there is the compression of production economics. Doug’s comparison between Inside Out 2 and Where the Robots Grow (Directed by Tom Paton, a Season two guest on our Podcast) is useful precisely because it is not really about artistic equivalence. It is about ratios. Four to five years versus three months. A cast and crew of 708 versus 9. $200 million versus $700,000. The point is not that one replaces the other wholesale. The point is that cost, time, and labor are compressing with astonishing force. A very high percentage reduction in those categories produces a market event all by itself.
Third, the conditions for adoption are already in place. Broadband is here. Streaming is here. Global platforms are here. Creator behavior is here. Algorithmic distribution is here. Consumers already live inside personalized feeds and increasingly fluid definitions of quality. YouTube already sits in the living room. This transformation does not have to wait for the road to be built. The road is full of traffic already.
New media starts by imitating the old one
This is another part of Doug’s framework I like. New media tends to begin skeuomorphically. It borrows the shape of what came before. Film begins looking suspiciously like recorded theater. Online publishing begins as static documents. Online video begins close to television. Then, in time, the medium discovers its own manners and starts behaving like itself.
Generative video is likely to do the same.
The first wave will look like cheaper versions of familiar things. More affordable films. More affordable television. Lower-cost advertising. Accelerated pre-production. Quicker iterations of established formats.
Fair enough. That is how new media announces itself. Yet the more interesting future lies in the forms that belong natively to the medium. Doug lists some of them plainly: fan creation and remixes, interactive experiences, personalized media, emergent forms, multimodal storytelling, and 3D or spatial experiences.
Cheap and fast.
Real-time.
Multimodal.
Unconstrained by physics.
Spatial.
That is a very different sort of media object than a fixed film or advertisement or article. It is closer to a system. Something living, responsive, participatory, and perhaps a little unruly.
What is already visible
Doug is sensible about uncertainty. He names the open questions clearly: realism, labor, control, consumer acceptance, native formats, legal settlement. Those questions will shape the slope and contour of adoption. They are, in other words, the weather.
The climate is easier to see.
- Production costs compress across the entire curve.
- Supply expands toward something like infinity.
- Pricing comes under pressure.
- AI intermediaries become more common.
- Consumer definitions of quality continue to widen.
- More fluid media forms become viable.
He also includes a few choice pieces of evidence from the present. AI-written articles have risen dramatically since the arrival of ChatGPT. AI video, a medium that only a short while ago seemed chiefly useful for generating nightmares and accidental comedy, is improving at a comical speed. The progression from the grotesque spaghetti-eating clips to outputs with real cinematic coherence has happened quickly enough to make one a little cautious about declaring what will remain impossible.
There is also the reminder that audience preferences have already been drifting away from high production values as the singular north star. That work was done by the last disruption. GenAI simply enters a world where that evolution has already been underway.
The question beneath the whole thing
Doug eventually arrives at the question that sits underneath the rest of the deck:
What becomes more valuable when content is functionally free?
That is the right question because it shifts attention away from the content object and toward the wider system in which it lives. When an input becomes abundant, the product built from it tends to lose some of its old aura. Value then moves toward what remains scarce.
Doug frames this through the 4Cs: challengers, consumers, complements, and chokepoints.
That pattern has repeated itself often enough to be trustworthy. An input becomes abundant. The core product starts to resemble a commodity. Value gathers around scarce complements and around the places in the value chain where control can be exercised.
His examples from agriculture, photography, broadband, and enterprise software are very good. Cheapness does not make value disappear. It relocates it.
In the world of generative media, the complements are already beginning to show themselves. Recommendation agents. Authenticity and verification. Fraud and brand safety. Creator financing. Marketing services and analytics. Brand extension services. Real-world events and access. Identity and status. Exclusive content and merch. Fan creation and participation. Personalization and customization. AI training rights. Summarization and highlights agents. Cultural localization. Proof of provenance. Curation as a service. Rights clearance at scale.
That list is exciting because it suggests an economy springing up around the new abundance.
Chokepoints are where the strategy is
Doug’s distinction between complements and chokepoints is especially valuable. Complements are where value is created. Chokepoints are where value is captured.
That difference can save a great deal of muddled thinking.
His list of emerging chokepoints is excellent: measurement and analytics, professional validation and infrastructure, monetization, fame and following, human provenance, agents, trust and authenticity, marketing, first-party data, curation, distribution, community, systems integration, brands, and IP.
Then he goes a step further and breaks down the natural owners of different chokepoints. Platforms tend naturally toward distribution, curation, first-party data, monetization, and agents. Creators tend naturally toward trust and authenticity, curation, human provenance, fame and following, and community. Incumbents tend naturally toward trust and authenticity too, along with IP, brands, community, marketing, and professional validation infrastructure.
This is where the deck stops being merely explanatory and becomes strategic. If content is cheaper, more abundant, and more fluid, then the real contest sits in owning the scarce layers around it. The trusted layer. The curatorial layer. The validating layer. The branded layer. The data layer. The agent layer. The relationship layer.
That is where much of the next decade’s value will be organized.
The bottom line
Doug’s last slide puts it simply: more competition, more complexity, new opportunities.
Quite.
The first great disruption of media changed how media was distributed. It gave us the market we are still living inside now: fragmented, global, creator-heavy, platform-shaped, price-pressured, and forever in some subtle state of rearrangement.
The next great disruption changes how media is made and, with that, what media can become.
That is why this moment feels so charged. One great change has not finished reverberating before the next one has begun to roll through. First the pipes were remade. Now the factory is being remade. First the cost of moving bits collapsed. Now the cost of making bits begins its descent. First media was unified in representation. Now it becomes more fluid in creation.
Doug’s work is valuable because it restores sequence to all this. It gives the present a lineage. It allows you to see that we are not staring at a random pile of technological novelty. We are standing in the next room of a house that has already been renovated once before.
That is a useful thing to remember, particularly when the wallpaper is still wet.
And I’ll say one other thing. Doug was a guest on the KoobrikLabs podcast, and he is exactly as lucid there as he is on the page. If this subject interests you, it is well worth hearing him talk it through.
His Substack is also one of those subscriptions that pays for itself almost immediately. This is the five dollars a month I am more than happy to pay. I basically quote Doug Shapiro once a day, which by my rough maths makes it something like sixteen cents a day for a very steady supply of clarity. That is a bargain.


