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@ -31,6 +31,7 @@ Community-driven animated IP founded by former VFX artists from Sony Pictures, A
- **2025-10-01** — Announced 39 x 7-minute animated series launching YouTube-first with Method Animation (Mediawan) co-production. Gameloft mobile game in co-development. Nearly 1B social views across community. - **2025-10-01** — Announced 39 x 7-minute animated series launching YouTube-first with Method Animation (Mediawan) co-production. Gameloft mobile game in co-development. Nearly 1B social views across community.
- **2025-10-01** — Announced 39-episode animated series launching YouTube-first, co-produced with Method Animation (Mediawan), followed by traditional TV/streaming sales. Community has generated nearly 1B social views. Gameloft mobile game in co-development. - **2025-10-01** — Announced 39-episode animated series launching YouTube-first, co-produced with Method Animation (Mediawan), followed by traditional TV/streaming sales. Community has generated nearly 1B social views. Gameloft mobile game in co-development.
- **2025-10-01** — Announced 39-episode animated series launching YouTube-first, co-produced with Method Animation (Mediawan), with Gameloft mobile game in co-development. Community has generated nearly 1B social views. - **2025-10-01** — Announced 39-episode animated series launching YouTube-first, co-produced with Method Animation (Mediawan), with Gameloft mobile game in co-development. Community has generated nearly 1B social views.
- **2025-05-22** — Announced Popkins mint mechanics: $200 public tickets, guaranteed packs for class-selected OG/Saga holders and Dactyls, refund mechanism for failed catches, pity points leaderboard with OG Claynosaurz prizes for top 50
## Relationship to KB ## Relationship to KB
- Implements [[fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership]] through specific co-creation mechanisms - Implements [[fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership]] through specific co-creation mechanisms

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---
source_type: "analysis"
title: "The New Entertainment Playbook - How Claynosaurz is Revolutionizing IP Development"
author: "analysis (generated for codex)"
url: ""
date_published: "2025-04-23"
date_archived: "2025-04-23"
archived_by: "clay"
domain: "entertainment"
status: processed
claims_extracted: []
---
# The New Entertainment Playbook: How Claynosaurz is Revolutionizing IP Development and Distribution
The entertainment industry has long been plagued by a fundamental paradox: while creative tools and distribution platforms have become increasingly accessible, the power to finance and produce significant IP remains concentrated in the hands of traditional studios and gatekeepers. This creates a challenging environment where creators must often sacrifice creative control and ownership of their vision to secure the funding needed for development. Animation and world-building genres face particularly steep barriers, with high upfront costs and limited ability to test market reception before major investments.
Claynosaurz is pioneering a revolutionary solution to this problem. When they launched in November 2022 - notably, just weeks after the FTX collapse - they didn't follow the traditional path of pitching to studios or seeking venture capital. Instead, they raised $1.3 million through an initial mint of 10,000 NFTs at 10 SOL each (approximately $130 at the time). This Web3-native approach provided not just funding, but something even more valuable: a committed community of early supporters who would help shape and champion the IP.
## Building Through Community
What makes Claynosaurz's approach unique is how they've leveraged this community to develop their IP. Rather than disappearing into a studio for years of development, they've built their world in public, constantly engaging with and incorporating feedback from their community. A perfect example is the evolution of the "Sky Chicken" - what began as a community joke about a shadow in a promotional video transformed into a beloved 1/1 ancient dactyl character that can barely fly. Similarly, community feedback led to the integration of dactyl sky taxis as a transportation system in their upcoming game, demonstrating how community ideas directly shape the world of Claynotopia.
The team further strengthens these community bonds through innovative physical/digital crossover events. At gatherings in NYC, LA, and Paris, they've distributed limited edition booster packs containing unique digital items and armor, some of which have sold for hundreds of thousands of dollars. This Pokemon-inspired approach creates exciting collecting opportunities while bringing the online community together in real-world settings.
## Validation Through Excellence
The strength of this approach was dramatically validated at the 2024 Collision Choice Awards, where Claynosaurz secured an unprecedented 13 awards. Their dominance across both technical and audience choice categories demonstrated that community-driven development can produce content matching or exceeding traditional studio quality.
### Collision Choice Awards 2024 Victories:
Gold Winners:
- Film Character Design (a particularly prestigious achievement)
- Film Lighting
- Marketing Character Design
- Marketing Lighting
Silver Winners:
- Film Social Media
- Marketing Social Media
- Film Best 3D/CG Animation
- Film Character Animation
- Marketing Best 3D/CG Animation
Audience Choice Awards:
- Character Animation
- Film Social Media
- Best 3D/CG Animation
- Marketing Social Media
Competing against entertainment giants like Disney, Sony, and Paramount, these wins - particularly the Gold in Film Character Design - placed Claynosaurz among the industry's elite creators. Their success in both technical categories (lighting, animation, character design) and audience choice awards demonstrates their unique ability to balance professional excellence with community engagement.
This industry recognition has continued with their recent Webby nomination, placing them in the top 12% of 13,000+ entries alongside global brands like Netflix, Nike, NHL, Spotify, and The New York Times. Notably, their trailer is competing directly against The NHL and The Witcher trailers, while they've also received Honoree status in the Social Media category. As the first Web3-native brand ever recognized at this level, their nomination represents a significant milestone for the entire Web3 creative ecosystem.
## Strategic Expansion and Risk Management
This success has enabled Claynosaurz to pursue mainstream expansion on their own terms. Their partnership with Gameloft, announced in 2024, exemplifies their strategic approach to growth. Rather than simply licensing their IP, they've maintained creative control over how their world and characters will be integrated into the mobile game. The game, which blends elements of Brawl Stars with Pokémon Go's collecting mechanics, is being developed in close coordination with their planned TV show, ensuring consistent world-building across platforms.
Their merchandise strategy shows similar sophistication. By offering both limited edition plushies that sell out and never return, alongside more accessible mass-market options, they've created a collecting ecosystem that maintains exclusivity while enabling broader market penetration. This approach, launched in November 2023, demonstrates their understanding of how to balance community rewards with mainstream accessibility.
## A New Model for Entertainment IP
What makes Claynosaurz's approach revolutionary is how it inverts traditional entertainment development. Instead of starting with expensive content and hoping for audience adoption, they've built their audience first through progressive stages:
1. Initial funding and community building through Web3
2. Content validation through social media
3. Strategic partnerships for gaming and merchandise
4. Mainstream entertainment expansion
Each stage builds upon the previous one, reducing risk while strengthening the IP. Their social media success validates demand for the gaming partnership. The gaming partnership provides another proof point for the TV show development. Throughout this progression, they've maintained both creative control and community engagement - something nearly impossible in traditional entertainment development.
The numbers validate this approach. Beyond their social media metrics and award recognition, they've created multiple revenue streams (NFT sales, royalties, merchandise, upcoming game revenue) while building their brand. The initial $1.3 million raised through their NFT mint provided the runway needed to develop their creative vision without immediate pressure to compromise for mainstream appeal. This stands in stark contrast to traditional animation development, where creators often must dilute their vision to secure studio funding, only to lose control of their IP in the process.
## The Future of Entertainment Development
What Claynosaurz has pioneered isn't just a successful project - it's a new template for how entertainment IP can be developed and distributed in the digital age. Their success at the Collision Choice Awards, particularly winning Gold in Film Character Design against established studios, proves that community-driven development can produce world-class content. The fact that they achieved this while maintaining creative control and building a dedicated fanbase suggests their model might actually be superior for certain types of content, especially animation and world-building properties.
Their upcoming TV show, targeted for late 2026, will represent the ultimate validation of this approach. Unlike traditional shows that must build their audience from scratch, the Claynosaurz show will launch with:
- An established, engaged community
- Proven character and world designs
- Multiple revenue streams already in place
- Cross-platform presence and awareness
- Creative control over their narrative
Most importantly, they've already validated audience demand through multiple stages of growth, substantially reducing the risk typically associated with new animation properties. Their social media success, gaming partnership, and merchandise sales provide concrete metrics that traditional entertainment companies usually can't access until after major investments.
## Community-Driven World Building
Perhaps the most revolutionary aspect of Claynosaurz's approach is how it enables deeper, more authentic world-building. The Sky Chicken evolution from community joke to canonical character illustrates how organic community interaction can enrich an IP in ways traditional development rarely achieves. Their ability to test and refine ideas through social media before committing to larger productions ensures that when they do make major investments, they're building on proven foundations.
This approach is particularly powerful for animation and fantasy properties, where world-building and character development are crucial. By building their world in public, with constant community feedback and engagement, Claynosaurz has created something that feels authentic and lived-in before their first major productions have even launched. The integration of community ideas like dactyl sky taxis into their game mechanics shows how this feedback loop continues to enrich their IP even as they expand into new formats.
## A New Distribution Paradigm
What makes Claynosaurz's strategy particularly innovative is how it reimagines not just development, but distribution. Traditional entertainment relies on gatekeepers - studios, networks, publishers - to reach audiences. Claynosaurz has instead built direct relationships with their audience across multiple platforms, each serving a distinct purpose in their ecosystem. Their social media presence isn't just marketing; it's a core part of their storytelling strategy. Their Web3 community isn't just early adopters; they're active participants in the IP's evolution.
This multi-platform approach allows them to tell different types of stories in ways that best suit each medium. Wholesome moments around campfires work perfectly for Instagram's visual storytelling. Dance trends on TikTok show their characters' playful side while reaching new audiences. The upcoming Gameloft mobile game will let players actively explore Claynotopia, while the TV show can deliver deeper narrative experiences. Each platform enriches the others, creating a more immersive and engaging world.
## Risk Optimization Through Progressive Validation
The financial brilliance of Claynosaurz's approach lies in how it aligns investment with proven demand. Their initial $1.3 million raise through NFTs provided runway for creative development without sacrificing control. Social media content allowed them to test characters and storylines with relatively low production costs. Only after proving their ability to create engaging content and build an audience did they pursue larger opportunities like the Gameloft partnership and TV show development.
This progressive validation approach has yielded remarkable results:
- 13 Collision Choice Awards, including prestigious technical achievements
- Webby nomination alongside global brands like Netflix and Nike
- 239,000 Instagram and 155,000 TikTok followers
- Videos reaching over 21.4 million views
- Successful merchandise program balancing exclusivity and accessibility
- Major gaming partnership while maintaining creative control
- Upcoming TV show development on their own terms
## Blueprint for the Future
Claynosaurz isn't just building a successful entertainment brand; they're pioneering a new model for how IP can be developed and distributed in the digital age. Their success demonstrates that starting in Web3 isn't limiting - it's liberating. It provides the funding, community, and creative freedom needed to build authentic worlds and characters that can successfully expand into mainstream entertainment.
As the industry grapples with increasing content costs and fragmenting audience attention, the Claynosaurz model offers a more sustainable path forward. Their approach reduces risk through progressive validation, builds stronger IP through community engagement, and creates multiple revenue streams while maintaining creative control. Most importantly, it puts the focus back where it belongs: on building authentic worlds and characters that genuinely resonate with audiences.
Looking ahead to their 2026 TV show launch, Claynosaurz has positioned themselves uniquely well for success. Unlike traditional animated series that often struggle to find their audience, they've already built a passionate fanbase across multiple platforms. Their characters and world have been tested and refined through community interaction. They've proven their ability to create compelling content through industry recognition and viral success. And they've maintained the creative control needed to ensure their vision reaches screens intact.
## Industry-Wide Implications
The implications of Claynosaurz's success extend far beyond their own project. They've created a repeatable template for how new entertainment IP can be developed and distributed in the Web3 era:
1. Start with community building and initial funding through Web3
2. Test and refine content through social media
3. Build multiple revenue streams through merchandise and collectibles
4. Expand into mainstream formats while maintaining creative control
5. Use each platform's strengths to tell different aspects of your story
This model is particularly powerful for animation, science fiction, and fantasy properties where world-building is crucial. The ability to develop and validate these complex universes with community input before making major production investments could revolutionize how these genres are developed.
## A Transformative Moment
What Claynosaurz has achieved since their November 2022 launch represents more than just a successful project - it's a fundamental rethinking of how entertainment IP can be created and grown in the digital age. Their journey from Web3 collectibles to award-winning content creators and soon-to-be television producers shows that starting in Web3 can actually provide advantages over traditional development paths.
By building their brand through progressive stages of validation, maintaining creative control, and keeping their community at the center of their development process, Claynosaurz has created something traditional entertainment companies often struggle to achieve: an authentic, engaging world with a passionate audience eager for more content across multiple platforms.
As they continue to expand through their Gameloft partnership and upcoming TV show, Claynosaurz isn't just succeeding - they're showing the entire entertainment industry a new path forward. One that reduces risk, enhances creativity, and puts community at the heart of world-building. In doing so, they're not just creating a successful franchise; they're pioneering the future of entertainment IP development.

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---
source_type: "article"
title: "AI Use Cases in Hollywood"
author: "Doug Shapiro"
url: "https://dougshapiro.substack.com/p/ai-use-cases-in-hollywood"
date_published: "2023-09-01"
date_archived: "2025-04-23"
archived_by: "clay"
domain: "entertainment"
status: processed
claims_extracted:
- "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"
- "non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"
---
# 4/23/25, 6:56 PM Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
archive.today Saved from https://dougshapiro.substack.com/p/ai-use-cases-in-hollywood
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## Al Use Cases in Hollywood
What's Possible Now and Where It's Going
DOUG SHAPIRO
SEP 18, 2023
4
1
Share
[Note that this essay was originally published on Medium]
<!-- Image: A diagram illustrating AI use cases in Hollywood across different stages of production. -->
The diagram is divided into two rows, "Current" and "Future," and four columns representing stages of production: "Development," "Pre-Production," "Production," and "Post-Production." Each cell contains bullet points describing specific AI applications.
**Current:**
* **Development:** Chatbots for ideation/story co-development, T2I* generators for rapid development of storyboards/animatics, T2V** with custom trained models for first-pass story development.
* **Pre-Production:** Text-to-3D/NeRF for faster Previs, Automated storyboards.
* **Production:** T2V** generators for B-roll, Elimination of soundstages/locations, Elimination of costumes/makeup, "Acting doubles", Real-time content creation.
* **Post-Production:** T2V** for trailers/title sequences, Al-assisted edit, Al-assisted VFX, Automated localization, First-pass editing, VFX co-pilot.
**Future:**
* Cinematic-quality T2V** generation, with far more creator control.
*T2I (text-to-image) generators, like Midjourney and DALL-E
**T2V (text/image/video-to-video) generators, like RunwayML Gen-2, Pika Labs and Kaiber
Share
Over the last nine months, I've been writing about why several new technologies, especially AI (including generative AI), are poised to disrupt Hollywood in coming years by lowering the barriers to high quality video content creation. (See The Four Horsemen of the TV Apocalypse and Forget Peak TV, Here Comes Infinite TV). The one-sentence summary: the last decade in film and TV was defined by the disruption of content distribution and the next decade will be defined by the disruption of content creation.
That's pithy and all, but it also raises a lot of questions too. In a recent post, for instance, I addressed how fast and to what extent Hollywood may ultimately be disrupted (How Will the “Disruption” of Hollywood Play Out?)
In this post, I try to answer a different set of questions: How exactly will AI lower entry barriers in content creation? Which parts of the production process will be most affected? Which use cases are the most promising? When will these savings be available? What's feasible today vs. what's coming next? And even if these technologies lower entry barriers, could established studios-aka Hollywood-benefit too?
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Tl;dr:
* Today, production costs for the median big-budget film release run about $200 million. The most expensive TV shows easily top $10 million per episode. About 15-20% of these costs are “above the line" (ATL) talent, 50% is "below the line" (BTL) crew and production costs, ~25-30% is post production (mostly VFX) and the remainder is other. All in, roughly 2/3 of these costs are labor.
* It is a sensitive topic for good reason, but over time GenAI-enabled tools promise (and threaten) to replace large proportions of this labor.
* Practical use cases are already cropping up across all stages of the TV and film production process. These include story development, storyboarding/animatics, pre-visualization (or “previs”), B-roll, editing, visual effects (VFX) and localization services.
* How far will this all go? Ultimately, the prevalence of GenAI in the production process will be gated by consumer acceptance, not technology.
* Even making the relatively conservative assumption that TV and film projects will always require both human creative teams and human actors, future potential use cases include: the elimination of soundstages and locations, the elimination of costumes and makeup, first pass editing and VFX co-pilots, “acting doubles" that stand in for talent, increasingly cinematic text-to-video generators that offer higher resolution and give creatives much more control, custom-trained video generator models and new forms of content.
* All of this will likely have a profound effect on production costs. Over time, the cost curve for all non-ATL costs may converge with the cost curve of compute.
* For Hollywood, like any incumbent, lower entry barriers are bad. The potential for lower production costs is a silver lining, but it presents a daunting change management challenge. Studios should start either by experimenting with non-core processes or developing skunkworks studios to develop “AI-first” content from scratch.
Thanks for reading The Mediator! Subscribe for free to receive new posts and support my work.
Figure 1. Almost No One Was Using the Term Generative AI a Year Ago
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<!-- Image: A line graph showing the interest level in "Generative AI" over time. -->
The graph shows a dramatic increase in interest starting around late 2022 and continuing into 2023. The x-axis represents time, ranging from 9/16/2018 to 9/16/2022, with a significant spike occurring after that date. The y-axis represents the interest level, ranging from 0 to 100. The source is not specified.
## "Generative Al" Interest Level
Source:
Al vs GenAl in Hollywood
Al has
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automa
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Sony us
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analyze
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series o
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automa
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9/16/2020
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automating the creation of trailers.
Most of these use cases are enabled by “discriminative” Al models that learn the relationship between data and a label. When presented with new data, they use this knowledge to label it. The canonical example is a model that is trained on pictures of cats and then can recognize pictures of cats.
By contrast, generative AI, or GenAI, is relatively new. As shown in Figure 1, almost no one reading this even heard of the term a year ago. Unlike discriminative models, "generative" models learn patterns in unstructured data and, when presented with new data, they use that knowledge to generate new data-text, audio, pixels (that create images or video) or voxels (to create 3D images). For instance, the transformer models that underlie GPT 3.5, 4.0.. etc., assign sets of numerical values to each word (aka, vectors) and this set of values describes the relationship between words. (Similar or related words will have similar vectors.) When ChatGPT responds to a prompt, these relationships enable it to probabilistically predict the next word in its response. Once enough words are strung together, it results in a paragraph that has never been written before.
The concept of generating new data subject to a set of constraints—GenAI—has potential applications along the entire production process.
This concept-generating new text, images, audio or video in response to a set of constraints (such as a prompt)—or GenAI-has applications across the entire film and TV production process.
But before getting into specifics, including the implications for production costs, we need to take a detour to understand how the production process works today and how Hollywood spends money.
## You Spent $200 Million on What Exactly?
There is no area of popular culture in which budgets are publicized and scrutinized more so than in movies. When a big release comes out, usually a budget number gets thrown around too. To take two recent examples, Avatar 2: The Way of Water, probably the most expensive film ever made, reportedly racked up production costs of more
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than $400 million, while the "more modest" Barbie supposedly ran up $145 million in costs.
Wikipedia often includes budget estimates for movies, as does film industry website The Numbers. (For what it's worth, production costs are those required to make the finished product. They don't include what's called “prints and advertising," or P&A, which is the cost of marketing the film and creating the physical prints used in movie theaters, which can easily equal or exceed the production cost.) As the budgets for TV series have swelled in recent years, it's also become more common to encounter estimated TV budgets. For instance, the final season of Game of Thrones reportedly cost $15 million per episode and The Lord of the Rings supposedly cost more than $25 million per episode.
Usually, these film and TV budget estimates are rough (and uncorroborated by the studio) and, as a generality, probably understate true production costs. But, taking them at face value, where does $50 million (for a mid-budget drama like Captain Phillips), $100 million (for John Wick: Chapter 4). or $200 million (for The Flash) go? To answer, it's helpful to lay out both a simplified view of the production process and a high-level view of the different categories of spend.
## A Simplified Production Process
I'll stick with film, since it's a discrete project, but the general concepts also hold for TV. The traditional workflow of producing a film proceeds in four relatively sequential stages:
* Development. At this point the project is a mere twinkle in someone's eye. The director/producer/writer/studio development team sketches out the concept (a synopsis), then a longer treatment and then a draft script. Key talent (directors and actors) agrees to be involved (or “attached”). The development team and/or producer will have a very (very) high-level estimate of budget at this stage too. During development, a producer or studio may also "option" the project (which means purchasing an option to acquire the rights). This period could take months or years (aka "development hell").
* Pre-Production. Pre-production proceeds once the project has been "greenlit" and the financing is in place. This is when real money starts to be spent. This phase includes formal casting and contracting of the key talent (also known as "above the line,” described below), the crew (“below the line"), finalizing the script, creating storyboards or animatics (an animated storyboard), sometimes pre-visualization or "previs" (the development of detailed 3D representations of shots) and designing and constructing sets, scale models and costumes. This is also when the production and finance teams develop detailed shooting schedules and budgets. The goal during this phase is to do whatever possible to minimize shoot time.
* Production (or "Principal Photography”). As it sounds, this is when the film is shot. This phase will also include mechanical or "practical" special effects (SFX), such as controlled explosions, car chases or the use of models.
* Post Production. This includes visual effects (VFX), like the development of computer generated imagery (CGI) that is then composited onto live action footage. It also includes re-shoots, if needed. It entails editing, post production
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sound (sound effects), titles and finally "rendering" all these elements (live action, CGI, models, sound, transitions, text/titles, etc.) into the final frames ("final pixel").
## A High Level Budget
Line item film budgets can run 100 pages or more, spelling out every expense. Most include something called a “topsheet,” a summary which breaks down expenses in a few categories. These categories don't strictly correspond to the stages of the production process above:
* "Above the line" (ATL) is all the talent that is, well, considered worthy of being "above the line.” It includes producers, directors, writers, cast and often stunt people and their travel and living expenses (transportation, housing, food, security). It also includes any rights that were acquired for the production.
* "Below the line” (BTL) includes everyone else involved in the production. This means: production staff (production managers and assistant directors); casting; "camera" (cinematographer, assistant camera personnel, rental of the equipment itself); set design and construction (also called “art”); SFX (again, as opposed to the VFX that occurs in post production); location expenses; electric and lighting; sound; wardrobe; hair and makeup; grip and set operations (the people who set up the equipment that support the camera and lighting); and travel and living expenses for BTL personnel.
* Post production includes all the costs for the post production activities described above.
* Other is a catch-all category for insurance, on-set publicity, behind-the-scenes footage, maybe financing costs and other administrative costs.
Film industry analyst Stephen Follows has a great article in which he breaks down the costs for a variety of production budgets. However, for our purposes, I'll focus on the largest bucket of spend, blockbuster films. As shown in Figure 2 (also from Follows), the median budget on these films is currently around $200 million.
Figure 2. The Median Blockbuster Film Budget is $200 Million
<!-- Image: A line graph showing the media production budget for films with budgets greater than $100 million. -->
The graph shows the media production budget for films with budgets greater than $100 million over time. The x-axis represents the year, ranging from 2000 to 2022. The y-axis represents the budget in millions of dollars. The budget generally increases over time, with some fluctuations.
$ in Millions
$250
$200
$150
$100
$50
$0
Source: Stephen Follows.
Media Production Budget, Films >
$100mm Budget
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Based on my discussions with a few producers (and roughly consistent with Follows' estimates), the distribution of budgets falls about as shown in Figure 3. About half of the budget is spent on below the line functions, 25-30% is spent on post production (most of which is VFX), about 15-20% goes to the above the line talent (prior to any additional profit participations) and the remainder is other.
Figure 3. Estimated “Topsheet” Breakdown of Film Production Budget
The image is a bar graph titled "Breakdown of Median Blockbuster Film Budget". The y-axis is labeled with percentages from 0% to 100% in increments of 10%. The x-axis has no label. There are four bars, each representing a different category of the film budget: Other, Post Production, Below the Line, and Above the Line. The "Other" category is represented by a gray bar, "Post Production" by an orange bar, "Below the Line" by a yellow bar, and "Above the Line" by a blue bar. The bars indicate the approximate percentage of the budget allocated to each category.
Source: Author estimates.
Two other points that will be relevant when we start to explore potential cost savings:
* The average VFX spend on these big budget films is ~$50 million, but on some productions (like effects-heavy superhero films), VFX can push $100 million. For Avatar: Way of Water, the VFX costs surely exceeded that; 98% of the shots required VFX.
Most production spend is for labor—probably ~2/3.
* Also, most of this spend is on labor. Look again at Figure 3. The vast majority of ATL costs are labor (producers, directors, actors); probably about 60% of the BTL costs are crew (production staff, grips, physical production crew, makeup artists); maybe 50-60% of post production costs are effectively labor (VFX artists, sound engineers); and maybe half of other too. All-in, labor is probably 2/3 of costs.
To underscore the latter point, Figure 4 is another analysis from Follows. While a little dated, the most labor-intensive movies employ thousands of people. Follows counts 4,500 people involved in making Avengers: Infinity War. Including outside vendors (including VFX houses), Avatar: Way of Water probably exceeds that. It's true of TV too. IMDb lists over 9,000 people involved in making Game of Thrones over its eight seasons.
Figure 4. The Most Labor Intensive Movies Employ Thousands of People
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The image is a bar graph titled "Movies with the largest number of crew credits, 2000-18". The y-axis is labeled with numbers from 0 to 5,000 in increments of 500, and the x-axis lists various movies. The height of each bar corresponds to the number of crew credits for each movie. The movies listed are: The Avengers, Avatar, Black Panther, Guardians of the Galaxy, Thor: Ragnarok, Avengers: Endgame, John Carter, Iron Man 3, Avengers: Age of Ultron, and Avengers: Infinity War.
Source: Stephen Follows.
Next, let's turn to GenAI use cases and how they may affect these costs.
Current Use Cases
New AI and GenAI use cases for film and TV production seem to be cropping up weekly. There are two broad categories:
* Tools that synthetically create something (people, ideas, faces, animals, sets, environments, voices, costumes, make up, sound effects, etc.), replacing the need for the physical or natural version of that thing.
* Tools that automate tasks that are currently very labor intensive and expensive.
Here are some of the highest-value use cases that are feasible today (or will be soon), across the production process:
Development
Story Development
This includes general-purpose text generators, such as ChatGPT, and purpose built tools, to aid in concept development and draft scriptwriting. For instance, SHOW-1 (supposedly) will enable the creation of narrative arcs (i.e., an entire episode for a TV series) that are consistent with the characters and canon of an existing, pre-trained intellectual property. (The first demo was AI-created episodes of South Park, as shown here.) There are also a slew of AI writing assistants built on top of ChatGPT or GPT-4, such as Sudowrite, that can provide feedback, suggest plot developments and write passages consistent with an existing style.
To be clear, I'm not suggesting that these kinds of tools can replace writers altogether. My view is that compelling storytelling will require human judgment for the foreseeable future. But they may make the writing process much more efficient, which -corroborating the WGA's concerns in the ongoing strike- would likely mean fewer writers or writers needed for less time.
Pre-Production
Storyboarding/Animatics
It's possible today to use general purpose text-to-image tools, like Midjourney and DALL-E, to quickly make storyboards or import these into Adobe Premiere Pro to stitch together rough animatics (i.e., animated storyboards). Highly stylized
[https://archive.ph/WE4AQ](https://archive.ph/WE4AQ)
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# 4/23/25, 6:56 PM
Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
storyboards that might've taken skilled artists weeks to create can now be done in days.
Adobe also recently teased the launch of Firefly (it's family of GenAI models) for Premiere Pro and After Effects, which will include the ability to automatically create basic storyboards just by uploading a script.
GenAI video generators (like RunwayML, Pika Labs and Kaiber) can also create animatics. For instance, using RunwayML Gen-1, it's possible to apply a specific style to a simple reference video shot on a mobile phone and quickly rough out animatics (see below). Rather than show up at a pitch meeting with a text treatment, a writer/showrunner/director could now show up with a very rudimentary version of the movie itself.
Gen-1: The Next Step Forward for Generative Al
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There is a YouTube video embedded in the document.
Previs
While storyboards are used to provide a sense of narrative, previs is used to precisely plan out how to shoot key sequences (namely, where to place the camera, how it will move, the spatial relations between different elements, including characters and props, and lighting). It is an expensive and labor-intensive process that basically entails building 3D models, situating them in 3D space and creating a parallel film for the critical scenes.
Neural Radiance Field (NeRF) is a relatively new deep learning technology that can approximate 3D scenes from 2D images, making it much cheaper and easier to develop 3D models (especially for previs purposes, for which the standards are lower than the film itself). Luma Labs uses NeRF to create 3D models from photos in real time, even from an iPhone, compared to the days or weeks it takes to create traditional 3D models. A company called CSM enables the creation of 3D assets from image or video inputs. Alternatively, Luma, as well as companies like Spline and 3DFY, are rolling out text-to-3D models that can create a 3D model from a simple text prompt.
Whether using NeRF or text/image/video-to-3D, these objects can then be imported into Maya, Blender or Unreal Engine to quicky simulate shooting environments.
I try the tech that WILL replace CG one day
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[https://archive.ph/WE4AQ](https://archive.ph/WE4AQ)
8/22
# 4/23/25, 6:56 PM
Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
There is a YouTube video embedded in the document.
Production
B-roll
I already mentioned Runway, Pika and Kaiber above, the text/image/video-to-video generators that most people think of when they conjure up "GenAI in film." Arthur C. Clarke once famously said that “any sufficiently advanced technology is indistinguishable from magic" and typing in a prompt and getting a video feels a lot like magic to me. They also have come very far in a short time. When Runway Gen-2 came out, it only generated video from a text prompt and you had no idea what you'd get. Now it supports uploading a reference image (such as an image from Midjourney or DALL-E) or video and custom camera control, making it a far easier to control the output.
The internet is chock full of interesting text/image/video-to-video experiments. (Runway recently launched an aggregation site, called Runway Watch, where you can check out some.) Most are either surreal sequences or trailers for fictitious movies, like this cool example.
Genesis - Official Trailer (Midjourney + Runway)
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They may be mesmerizing, but for the most part these experiments are still a novelty. They aren't anything that most people would plunk down on the couch with a bag of popcorn and watch. The output on these tools is limited (Runway just increased the length from 4 seconds to 18 seconds) and frame consistency breaks down quickly,
[https://archive.ph/WE4AQ](https://archive.ph/WE4AQ)
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# 4/23/25, 6:56 PM
Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
which severely constrains how you can use them. There is also no dialog (mouths can't synch with audio yet) and therefore not much storytelling.
They will unquestionably keep getting better, as I discuss below. But even today they may be useful in traditional productions for what is known as “B-roll” shots. B-roll shots are interspersed with the main ("A-roll") footage to establish a setting or mood, indicate the passage of time, transition between scenes or clue in audiences to a detail that the main characters missed, etc.
Text-to-video generators may also be useful in title sequences or even trailers. Disney recently used GenAI to create the title sequence for Secret Invasion. Also, check out the first 1:00 of the trailer for Zach Snyder's new film, Rebel Moon. It probably wasn't made with GenAI, but it sure looks like it was.
Rebel Moon | Official Teaser Trailer | Netflix
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There is a YouTube video embedded in the document.
Post Production
Editing
Conceptually, GenAI can dramatically speed up editing processes by enabling editors to adjust one or a few key frames and have the AI extrapolate that change through all the relevant subsequent frames.
While Runway is probably best known as a pioneer in text-to-video, it also offers a suite of AI-based editing tools (see my dashboard below). These include the ability to clean up backgrounds, turn any video into slo-mo, color grade video with just a text prompt, etc. The Remove Background tool automates the process of isolating an element of a video, also called rotoscoping. This enables the element to be composited onto a new background.
[https://archive.ph/WE4AQ](https://archive.ph/WE4AQ)
10/22
# 4/23/25, 6:56 PM
Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
Doug
member
nvite Collaborators
Home
▷Watch
Generate videos
Edit videos
Edit audio & subtitles
Generate images
Edit images
3D
Al Training
Projects
Search for tools, assets and projects
IP
Shared with me
Remove Background
Inpainting
Color Grade (LUT)
Super-Slow Motion
Blur Faces
Depth of Field
Assets
# Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
4/23/25, 6:56 PM
Mandalorian, etc.) But it would also mean that every other part of the physical production process would be subject to being replaced synthetically.
## Scenario 3: Consumers Draw the Line at Synthetic Ideas
In this scenario, creating a movie or TV show would still require a very skilled team, or at least an individual, to generate ideas and vet the options presented by the AI(s). As I've written before (see here and here), I subscribe to this view.
But it would also mean that everything on screen could be produced synthetically. There could be no actors (or, obviously, costumes or makeup), sets, lighting, locations, vehicles, props, etc. Or, as Runway writes brazenly on its site "No lights. No camera. All Action."
## Scenario 4: There is No Line
This is what I once called the “generative-AI doom-loop”:
ChatGPT-X, trained to generate, evaluate and iterate storylines and scripts; then hooked into Imagen Video vX, which generates the corresponding video content; which is then published to TikTok (or its future equivalent), where content is tested among billions of daily users, who surface the most viral programming; which is then fed back into ChatGPT-X for further development. (H/t to my brilliant former colleague Thomas Gewecke for this depressing scenario.) New worlds, characters, TV series, movies and even games spun up ad infinitum, with no or minimal human involvement. It's akin to the proverbial infinite monkey theorem.
Under this scenario, the cost of TV and film production would be identical to the cost of compute.
## The Next Use Cases
With those scenarios in mind, we can think about the next set of use cases. Personally, I think that for the foreseeable future we will be somewhere between Scenario 2 and 3 -namely that human actors will still be necessary in most films and TV shows, at least for a while, and we will still need small teams or at least individuals generating ideas and overseeing productions indefinitely.
Even so, there could still be profound changes to the production process over coming years. Here is an inexhaustive list of possible outcomes (h/t Chad Nelson for a lot of these ideas):
### End of the Soundstage/End of Shooting On-Location
As described above, GenAI already makes it possible to quickly and easily isolate an element in video. It will also increasingly be possible to synthetically create and customize backdrops and sets and control lighting. This raises the question: even if we still need actors, will we still need the controlled environments of soundstages and location shoots? Or could actors simply act out scenes in an empty room and the scene could be composited?
### No Costumes or Make-up
Under the same logic, over time it will be increasingly easy to digitally add make-up and costumes after the fact.
https://archive.ph/WE4AQ
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# Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
4/23/25, 6:56 PM
### First Pass Editing/VFX Co-Pilot
The Adobe Firefly-Premiere Pro demo video above shows something pretty remarkable. In the video sequence with the rock climber, the AI scans the audio and automatically edits in B-roll footage where appropriate.
In the future, it is likely that editing software will make a first pass at an edit, which can then be reviewed by a human editor. Similarly, it's easy to envision an editing co-pilot or a VFX co-pilot that could create and adjust visual effects in response to natural language prompts. "Fix those under-eye bags through the remainder of the shot."
### Acting Doubles
Face swapping/deep fake tools keep improving. There are also a growing number of synthetic voice tools that can be quickly trained on someone's voice, such as those offered by ElevenLabs and HeyGen. This raises the possibility that A-list actors (or even deceased actors' estates) could license their likenesses and voices for a film or TV show, but never step foot on set.
An entire film could be acted out by an "acting double," but through face and voice swapping it would be imperceptible to viewers that the actor wasn't there. Or perhaps the principal actor will only be physically present for a small proportion of the scenes they are "in." Will actors be willing to give up that much creative control? Maybe or maybe not. But it will be possible.
[Image of a video player with the text "This video is private" displayed in the center.]
### Cinematic/TV- Quality Text-to-Video
As also mentioned above, text-to-video generators keep improving and providing more control over the output. Just a few months ago, generating a video was a slot machine. Now these tools enable training the Al on a reference image or video and they're adding more camera controls.
The logical extension is that over time, resolution will get better, it will get better at replicating reference images or videos, there will be better image consistency from frame to frame (as promised by new technologies like CoDeF and Re-render-A-Video), output clips will get longer, rendering times will get shorter and creators will have more control over camera movement, lighting, directorial style, synching audio with character's mouths, etc. At that point, text-to-video may cease being a novelty and it
https://archive.ph/WE4AQ
17/22
# Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
4/23/25, 6:56 PM
may become increasingly possible to stitch it together into a watchable, narrative show or movie.
Will viewers embrace content with no humans it it? Probably, especially if there is no pretense that they are watching real people (by the way, that's called "animation"). Over time, this will become more so a philosophical question than an aesthetic one. Given the increasingly realistic faces being produced by Midjourney v 5, eventually it may become impossible to tell who's a real person and what's not.
Over time, whether consumers will watch movies with synthetic humans will become more so a philosophical question, not an aesthetic one.
### Custom Training Models for First Pass Storytelling
Another logical extension of text/image/video-to-video models is that they will be trained on proprietary data. It would be possible, for example, for Disney to train models on the entire canon of Marvel comics and MCU movies and have it generate (near-infinite?) first drafts of new scripts and animatics. Similarly, it should be possible for Steven Spielberg to train a model on his body of work and then feed in a new concept and see what the video generator spits out.
This is not to say that these first cuts will be watchable, finished product, but rather than they could dramatically increase the speed and quantity of development.
GenAI may enable new forms of storytelling.
### New Types of Content
There is a common pattern in media that new mediums mimic prior ones. The first radio programs were broadcasts of vaudeville shows; the first TV broadcasts were televised stage plays; the first web pages were static text, like newspapers or magazines. Over time, developers and artists learn to exploit the unique attributes of the new medium to tell stories and convey information in new ways.
It's an interesting exercise to think about what that means for GenAI video generators. While traditional movies and TV shows are static, finished product, in which all viewers watch the same thing, synthetic video generators like Runway are creating video on the fly (and, eventually, probably real-time). This raises the possibility of customizable or responsive video that changes in response to user inputs, context, geography and current events. What does this mean? Who knows—but the key idea is that GenAI video may not only offer dramatic cost savings compared to traditional production processes, but may one day offer viewers a fundamentally different experience.
### Costs May Plummet
Under any of the scenarios above (perhaps other than Scenario 1), production costs are heading down a lot.
https://archive.ph/WE4AQ
18/22
# Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
4/23/25, 6:56 PM
Let's assume that you still need a small creative team and human actors to create a compelling TV show or film. Let's also assume that the “cost" of that team approximates the costs of the Above the Line (ATL) team on a current production. As shown in Figure 3 above, that's only about 20% of costs. The other 80% would be subject to downward sloping technology curves. Today, on the median big budget film, those non-ATL are roughly $160-170 million, or about $1.5 million per minute. Over time, where does this go? As alluded to above, the answer probably looks a lot like the cost curve for compute itself. What if this is headed to $1,000, $100 or $10 per minute?
Over time, the cost of non-ATL costs may approximate the cost of compute.
Assuming that ATL costs remain constant probably overstates what would happen to production costs because falling costs would likely alter the economic model of TV and film. Today, as discussed above, movies and TV shows are extremely expensive, and risky, to produce. Since studios take on all this risk, they also retain almost all the equity in these projects. Instead, they pay A-listers big fixed payments and only sometimes reluctantly (and parsimoniously) parcel out some profit participation points. ATL costs are essentially these guaranteed payments.
Even if there are still humans involved, the cost to produce could fall by orders of magnitude.
But what if the non-ATL costs are not in the tens or hundreds of millions, but in the millions or eventually thousands of dollars? Then it won't be necessary for studios to take on so much risk. In this case, it becomes much more likely that the creative teams forego guaranteed payments, finance productions themselves and keep most of the equity (and upside)—in other words, ATL costs as we know them today may go away. If there are effectively no ATL costs, it means that even if there is still significant human involvement, the upfront cost to produce a film or TV show could eventually falls by orders of magnitude.
## What Should Hollywood Do?
The whole premise of many of my recent posts (The Four Horsemen of the TV Apocalypse, Forget Peak TV, Here Comes Infinite TV and How Will the “Disruption” of Hollywood Play Out?) is that falling production costs will lower barriers to entry. For all the reasons discussed above, over time small teams and creative individuals will increasingly be able to make Hollywood-quality content for pennies on the dollar- leading to what I've been calling “infinite content.” And while Hollywood is currently reeling from the disruption of distribution that Netflix triggered 15 years ago, these falling entry barriers could trigger a next wave of disruption.
The silver lining for Hollywood is that these technologies can lower their costs too. So, if you're running a big studio, how can you capitalize? You're managing a large business, with a lot of people used to doing things a certain way. You are also competing for creative talent with other studios and generally don't have the
https://archive.ph/WE4AQ
19/22
# Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
4/23/25, 6:56 PM
bargaining power to tell them how to do their job, especially the most sought-after A-listers. ("Yes, Chris Nolan, we love your latest project, but we will be requiring some fundamental changes in your creative process...")
Adopting these new technologies will be a large challenge technologically, but it will be an even bigger change management challenge. Getting people to change is really hard. I know. That's why it will be so much easier for small independent teams, starting with a clean piece of paper, to adopt these tools much faster.
For an established studio, there are two possible paths:
* Choose a non-core process to test. The most politically viable processes will be those that are already done by third-parties. For instance, you might shift localization services to AI-enabled providers in some markets or you could bring more VFX work in house with the mandate to use AI tools (and lower costs).
* Create a skunkworks. In this case, you would establish a separate studio to start from scratch to test the relative cost, quality and speed of "AI-first" content production.
Neither of these incremental approaches are likely to move the needle a ton in the near-term, but at least they will start to build up AI "muscle memory" in the organization.
## Head-Spinning, I Know
All of this is moving at an dizzying pace. Even if you spend a lot of time trying to stay on top of these developments, as I do, it's hard to keep up. If you work in the industry, it may be enthralling. It may also be overwhelming and scary.
For good or ill, technology marches on. Forearmed is forewarned.
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# The New Entertainment Playbook: How Claynosaurz is Revolutionizing IP Development and Distribution # The New Entertainment Playbook: How Claynosaurz is Revolutionizing IP Development and Distribution
@ -167,3 +171,16 @@ What Claynosaurz has achieved since their November 2022 launch represents more t
By building their brand through progressive stages of validation, maintaining creative control, and keeping their community at the center of their development process, Claynosaurz has created something traditional entertainment companies often struggle to achieve: an authentic, engaging world with a passionate audience eager for more content across multiple platforms. By building their brand through progressive stages of validation, maintaining creative control, and keeping their community at the center of their development process, Claynosaurz has created something traditional entertainment companies often struggle to achieve: an authentic, engaging world with a passionate audience eager for more content across multiple platforms.
As they continue to expand through their Gameloft partnership and upcoming TV show, Claynosaurz isn't just succeeding - they're showing the entire entertainment industry a new path forward. One that reduces risk, enhances creativity, and puts community at the heart of world-building. In doing so, they're not just creating a successful franchise; they're pioneering the future of entertainment IP development. As they continue to expand through their Gameloft partnership and upcoming TV show, Claynosaurz isn't just succeeding - they're showing the entire entertainment industry a new path forward. One that reduces risk, enhances creativity, and puts community at the heart of world-building. In doing so, they're not just creating a successful franchise; they're pioneering the future of entertainment IP development.
## Key Facts
- Claynosaurz raised $1.3 million through 10,000 NFTs at 10 SOL each in November 2022
- Launch occurred weeks after FTX collapse
- Won 13 awards at 2024 Collision Choice Awards including Gold in Film Character Design
- Achieved 239,000 Instagram followers and 155,000 TikTok followers
- Videos reached over 21.4 million views across platforms
- Received Webby nomination in 2025, placing in top 12% of 13,000+ entries
- First Web3-native brand to receive Webby recognition
- Gameloft partnership announced in 2024 for mobile game development
- TV show targeting late 2026 launch
- Merchandise program launched November 2023

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claims_extracted: claims_extracted:
- "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability" - "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"
- "non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain" - "non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"
processed_by: leo
processed_date: 2026-03-19
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
--- ---
# 4/23/25, 6:56 PM Al Use Cases in Hollywood - by Doug Shapiro - The Mediator # 4/23/25, 6:56 PM Al Use Cases in Hollywood - by Doug Shapiro - The Mediator
@ -548,3 +552,18 @@ Share
Next → Next →
20/22 20/22
## Key Facts
- Median blockbuster film budget is approximately $200 million (2023)
- Avatar 2: The Way of Water production costs exceeded $400 million
- Barbie production budget was $145 million
- Game of Thrones final season cost $15 million per episode
- Lord of Rings series cost over $25 million per episode
- Avengers: Infinity War involved approximately 4,500 people
- Avatar: Way of Water had 98% of shots requiring VFX
- Average VFX spend on big-budget films is ~$50 million, reaching $100 million for effects-heavy films
- Film production budgets typically break down as: 15-20% above-the-line, 50% below-the-line, 25-30% post-production, remainder other
- Approximately 2/3 of film production costs are labor
- Runway Gen-2 increased video generation length from 4 seconds to 18 seconds
- Disney used GenAI to create the title sequence for Secret Invasion

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@ -7,10 +7,14 @@ date_published: "2023-04-01"
date_archived: "2025-04-23" date_archived: "2025-04-23"
archived_by: "clay" archived_by: "clay"
domain: "entertainment" domain: "entertainment"
status: unprocessed status: null-result
claims_extracted: claims_extracted:
- "cost-plus deals shifted economic risk from talent to streamers while misaligning creative incentives" - "cost-plus deals shifted economic risk from talent to streamers while misaligning creative incentives"
- "the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate" - "the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate"
processed_by: leo
processed_date: 2026-03-19
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
--- ---
# You Can't Just Make the Hits - by Doug Shapiro # You Can't Just Make the Hits - by Doug Shapiro
@ -811,3 +815,14 @@ Comments Restacks
https://archive.ph/J88sw https://archive.ph/J88sw
## 14/15 ## 14/15
## Key Facts
- Average hour-long cable drama production costs rose from $3-4M per episode ten years ago to commonly exceeding $15M today
- The Rings of Power cost $58M per episode, Stranger Things S4 $30M per episode
- Median film production budgets have roughly doubled over 20 years (not inflation-adjusted)
- Netflix ordered its first pilot ever in 2023, reversing straight-to-series practice
- Disney CEO Bob Iger said company is re-evaluating making content for third parties
- WarnerBros Discovery struck deals to license content to Roku and Tubi
- Writers Guild of America is reportedly seeking to constrain studios' ability to use AI in pending contract renegotiation
- SVB MoffettNathanson projects only Netflix will re-achieve historical FCF levels by 2025 among major media companies