How is AI used in media and entertainment?

The most documented AI use cases in media and entertainment are AI answer engine for readers built on a publisher's own journalism, AI visitor and tour guide for cities, museums and events and AI generated live sports commentary and data storytelling, across 67 public deployments by 63 organizations in the Blits.ai AI Use Case Library. 51% of public deployments in media and entertainment put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Data report

State of AI in media and entertainment

What 67 documented AI deployments by 63 organizations in media and entertainment say about who uses the AI, how far it acts on its own and how often the result is proven, set against the whole library.

Computed live from the library on 12 November 2026. By Len Debets.

Deployments

63 organizations in 17 countries

51%

Face the customer

The AI works with customers directly; 31% across the library

69%

Agentic

The AI completes work itself; 63% across the library

61%

Disclose an outcome

A measurable result is public; 61% across the library

Who works with the AI

51% of public deployments in media and entertainment put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Public deployments by who uses the AI

Customer facing
34
Back office
19
Employee facing
16

How far the AI acts on its own

69% of public deployments in media and entertainment belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.

Public deployments by autonomy level

Autonomous
28
Copilot
21
Supervised agent
17
Assist
3

Where the deployments come from

43% of the public deployments in media and entertainment are by organizations in Europe. 55% date from 2025 or 2026, against 57% across the library.

Public deployments by region

Europe
29
North America
25
Global
7
Asia Pacific
4
Latin America
2

How often the result is proven

61% of public deployments in media and entertainment disclose a measurable outcome, against 61% across the library. Of the 31 reported metrics, 23 came from a vendor rather than from the organization itself.

Who made the claim (reported metrics)

Organization
8
Vendor
23

The most documented use cases in media and entertainment

Ranked by the number of media and entertainment organizations with a public deployment.

AI answer engine for readers built on a publisher's own journalism7 organizations
AI visitor and tour guide for cities, museums and events6 organizations
AI generated live sports commentary and data storytelling5 organizations
AI recommendation and personalization engine for streaming and media5 organizations
AI transcription, subtitles and captions for audio and video5 organizations
AI agent for automated sports highlights and clipping4 organizations
AI agent for fan and ticketing service at sports clubs4 organizations
AI content moderation for trust and safety at online platforms4 organizations
AI drafting and article summaries for newsrooms with editor review4 organizations
AI dubbing and voice localization for video4 organizations

The benchmarks with the most evidence

KPIs with at least three pooled public values from media and entertainment organizations.

Benchmarks in media and entertainment
KPI	Median	Reported range	Data points	Claimed by
Containment rate	70% vendor reported	20% to 90%	5	5 vendor

Frequently asked questions

How is AI used in media and entertainment?: The most documented AI use cases in media and entertainment are AI answer engine for readers built on a publisher's own journalism, AI visitor and tour guide for cities, museums and events and AI generated live sports commentary and data storytelling, across 67 public deployments by 63 organizations in the Blits.ai AI Use Case Library. 51% of public deployments in media and entertainment put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
How many AI deployments in media and entertainment use AI agents?: 69% of public deployments in media and entertainment belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
How often do media and entertainment organizations prove the results of AI?: 61% of public deployments in media and entertainment disclose a measurable outcome, against 61% across the library. Of the 31 reported metrics, 23 came from a vendor rather than from the organization itself.

About this report

This report counts every public deployment by an organization in media and entertainment, whatever the use case, and sets it against all 1921 public deployments in the library. The industry hub counts only the use cases tagged with this industry, so its totals can be lower. Every figure is computed with the rules on the methodology page, from the open data (CC BY 4.0). The sample reflects what organizations choose to publish, which skews toward large organizations and successful projects.