Trend map · Hollywood and AI

The automation of Hollywood

Studios are defending their system in contracts and courts, while creators and apps build an AI-made screen culture outside it.

Snapshot · Created 3 November 2026

A snapshot of receding, dominant, and emergent trends

Studio-made screen, The AI transition and AI-made screen culture, with each claim as a numbered dot TODAY EARLY 2030S H1 · Studio-made screen H2 · The AI transition H3 · AI-made screen culture 1 2 3 4 5 6 7 8 9 10 11
H1: Studio-made screenH2: The AI transitionH3: AI-made screen culture
Horizon 1

Studios own the screen and people perform every frame

Today film and TV are made by studios and streamers with human casts and crews, and stars guard their faces deal by deal. That way of working is losing its fit as AI copies faces, voices and whole films.

Horizon 2

Studios, lawmakers and creators are making their first moves

Some moves keep the studio way going with AI behind the scenes, lawsuits and a human-made label. Others build what an AI screen culture needs: likeness rules, disclosure and AI features tested in cinemas.

Horizon 3

Much of what people watch is made with AI, mostly free and creator-made

The early signs are online, where small teams and apps already draw huge audiences with AI films, clips and dramas, some of them paid.

How to read this map: The Three Horizons framework, from the futurist Bill Sharpe, reads change as three overlapping systems. Horizon 1 is today's dominant way of doing things, which fades as it loses its fit with a changing world. Horizon 3 is a possible future that fits that world better, visible now only in early examples. Horizon 2 is the turbulent middle, where new moves are made. Left to right is time, from today. A dot's height shows how strong its horizon is at that moment. For how deep each trend has reached, see the Depth of trends tab.

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Where this topic stands

  1. 1Actors are split between refusing AI terms and licensing their voicesHolds up
  2. 2AI recreations of dead stars are drawing backlash, even with family consentHolds up
  3. 3Studios and networks are making AI and its builders their subjectHolds up
  4. 4Impersonators and scammers are spreading AI fakes of living performersHolds up
  5. 5States are making ads label AI performers, but not filmsHolds up
  6. 6AI-made films are reaching cinemas without a box office hitHolds up
  7. 7Studios are using AI to alter footage, not to replace actorsHolds up
  8. 8Studios are suing AI video makers over their charactersHolds up
  9. 9Viewers call AI video slop, and makers vouch for human-made footageHolds up
  10. 10Creators are drawing millions of views with free AI-made films and trailersHolds up
  11. 11AI-made short dramas are finding paying viewers onlineHolds up

How deep each trend goes

How this map was made →

A snapshot of how deep each trend has reached, from the fast layers that get noticed to the slow layers that hold things in place

Six layers from fashion at the top to nature at the bottom, with the 11 trends as numbered dots in the layer each has reached FASHION COMMERCE INFRASTRUCTURE GOVERNANCE CULTURE NATURE FAST SLOW Nothing has reached this layer 1 2 3 4 5 6 7 8 9 10 11
H1: Studio-made screenH2: The AI transitionH3: AI-made screen culture

How to read this map: Pace Layering, from Stewart Brand, reads a society as layers that change at different speeds. Fast layers try new things. Slow layers absorb only some of them, and hold the rest in check. The arrows show that speed: quick and restless at the top, short and heavy at the bottom. Each trend sits in the slowest layer where its evidence shows something has actually changed. A trend that sinks a layer between reviews has gone deeper. Dot colours are each trend's horizon on the What's trending tab. The placements are an editorial reading, approved by number.

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Trends by depth

The same 11 trends, grouped by the slowest layer each has reached, with the evidence that placed it there and the next date that could move it.

Fashion and art

Changes in months

What people make, share and talk about. Fast, loud and easy to reverse.

Commerce

Changes in years

Deals, prices and business models: where money has started to move.

Infrastructure

Changes in decades

The tools and pipelines the work runs on. Costly to change, so changes stick.

Governance

Changes in decades

Laws, contracts and court rulings: where the rules have started to change.

Culture

Changes over generations

A shared sense of what is right, real and worth paying for. Slow, and it limits the layers above.

Nature

Changes over millennia

Nothing has reached this layer. Physical and biological limits, rarely touched by a single topic.

Upcoming dates that will affect this topic

The dates these trends are waiting on, soonest first.

  1. 20 November 2026Settlement deadline in the Midjourney caseTrend 8
  2. 23 November 2026Hearing on the Midjourney Cox motionTrend 8
  3. 7 December 2026Gods Don't Give Gifts opening weekendTrend 6
  4. 7 December 2026A YouTube AI creator tests cinemasTrend 10
  5. 9 December 2026Amazon lip-sync spreadsTrend 7
  6. October to December 2026Amazon answers Cage or rewrites its waiverTrend 1
  7. October to December 2026AI Labeling Act in committeeTrend 5
  8. October to December 2026Blue Planet III airsTrend 9
  9. In December 2026NO FAKES Act in the lame duck sessionTrend 1
  10. In December 2026NRG's next viewer surveyTrend 2
  11. In December 2026Artificial opens in US cinemasTrend 3
  12. In December 2026Gods Don't Give Gifts reviewsTrend 9
  13. In December 2026Musk's full AI OdysseyTrend 10
  14. 1 January 2027California labels go liveTrend 5
  15. 21 January 2027Oscar nominations for ArtificialTrend 3
  16. 21 January 2027Academy animated feature eligibilityTrend 6
  17. In January 2027Denmark's imitation lawTrend 4
  18. January to March 2027Cage's next deal and the HBO testTrend 1
  19. January to March 2027As Deep as the Grave finds a homeTrend 2
  20. January to March 2027Netflix Q4 2026 letterTrend 7
  21. January to March 2027Shortical's $100 million yearTrend 11
  22. January to March 2027DataEye's full-year AI drama countTrend 11
  23. 12 July 2027Hailuo AI case goes to a juryTrend 8
  24. In 2027AI Garbo cast in a filmTrend 2

How this was made

Sources behind this analysis

223 items of evidence from 40+ sources and 6 platforms, dated June 2024 to October 2026.

Sources are news outlets, reports and filings, organisations' own documents and data, each vetted before use. Bluesky, Instagram, Threads, TikTok, X and YouTube are read only for conversation and sentiment.

1. We curate sources

We create a vetted, custom list of sources and begin our scan there. Where a court, legislature or company published its own document, the page cites that document, not only the coverage of it.

2. We develop trends

Source feeds are captured daily and read on a regular review cycle. After sufficient evidence, we name trends ourselves. Everything is then edited and approved by nimble human minds and fingers.

3. We weigh the evidence

We judge each piece of evidence against our identified trends and place it (and the case against) side by side to keep ourselves honest. The verdicts, such as "holds up" or "disputed" say how well the evidence stacks against a trend.

4. We create the graphs

What's trending uses Bill Sharpe's Three Horizons, and Depth of trends uses Stewart Brand's Pace Layering.

5. We monitor the feeds

While this page is just a snapshot from a moment in time, we continue to monitor the trends in the background for ongoing client work.

6. We maintain a database

We keep all trend data in a constantly updated system. This proprietary software was built and tested on a games-industry trend register of more than 1,100 claims before it was applied to new topics like this one.

Work with Delightful and Canopy

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Delightful and Canopy have done this work for

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Who you'd work with

Steve Bryant

Steve "Pants" Bryant

Delightful · Founder

Leads research, positioning and content strategy for clients around the globe including Unilever, MetLife, MSCI and The Royal Institution.

Dr. Natalie Edwards

Dr. Natalie Edwards

Canopy · Co-founder, President EMEA

Uses cultural insight to shape innovation, positioning and communications, leading global projects across the US, Latin America, Indonesia and South Korea. PhD in media, gender and cultural theory.

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The system was built and tested on a games-industry register of more than 1,100 claims.

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