AI in Media & Broadcast – Professional Essentials Guide

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NEWSCASTSTUDIO.COM

NEWSCASTSTUDIO.COM

By DAK DILLON

Editor in Chief, NewscastStudio

From sophisticated targeting in con-

nected TV to AI-driven predictive mod-

els that anticipate audience behavior, the

broadcast adtech landscape is undergoing

a reinvention driven by emerging technol-

ogy like artificial intelligence.

New research confirms advertisers’

growing commitment to programmatic

strategies, while industry executives pre-

dict that AI will continue to unlock un-

tapped revenue potential. Here’s how it’s

playing out in practice.

Programmatic and CTV surge

A recent “2025 State of Programmatic

Report” by Proximic, a division of Com-

score, found that 72% of advertisers plan to

increase programmatic spending in 2025,

strongly emphasizing privacy-compliant

approaches. Connected TV is at the center

of this spending surge, now commanding

28% of ad budgets — double what it was in

2023. According to the report, nearly half

of marketers reallocating their program-

matic CTV budgets by shifting funds away

from linear TV.

“Connected TV emerged as a clear win-

ner, and privacy-focused strategies like

contextual targeting are becoming essen-

tial for marketers aiming to deliver highly

efective, privacy-centric campaigns,” said

Rachel Gantz, managing director at Proxi-

mic by Comscore.

This shift isn’t surprising given that

consumer viewing habits favor stream-

ing over traditional cable bundles. At the

same time, the appetite for more automat-

ed buying practices has grown, with data

from Advertiser Perceptions showing an

uptick in programmatic guaranteed deals

on subscription video-on-demand (SVOD)

platforms.

How this afects broadcasters

It suggests that ad budgets — historical-

ly the lifeblood of linear television — are

increasingly in play. Linear TV isn’t disap-

pearing overnight, but it’s facing renewed

competition from CTV and digital services

that can better target and measure audi-

ences. That shift, executives note, is where

AI can make a substantial diference.

“By analyzing viewer data, AI is able to

pinpoint content that resonates with au-

diences the most,” said Siddarth Gupta,

principal engineer at Interra Systems.

“Personalized ad insertion further max-

imizes revenue by matching ads to indi-

vidual preferences or the type of content

being viewed at the time.”

In other words, AI-driven personalization

is no longer a novelty; it’s a business impera-

tive, helping broadcasters capture attention

in a hyper-competitive ad market.

Personalization and contextual adver-

tising in broadcast

Amid privacy crackdowns and the slow

demise of third-party cookies, advertisers

are turning to new, “ID-free” solutions that

rely on contextual and first-party data.

Proximic’s programmatic report noted

that 48% of marketers expect to rely pri-

marily on ID-free strategies by the end of

2025, and 52% plan to increase their use

of contextual data for targeting. These fig-

ures underscore the importance of align-

ing ads with relevant content or themes

rather than just behavioral profiles.

“AI can enhance content monetization

… enabling dynamic ad insertion, ensuring

more relevant ads and driving higher en-

gagement and revenue,” said Yang Cai, CEO

and president of VisualOn. This personal-

ized approach is central to strategies like

contextual targeting, where AI scans video

or webpage content to place ads that mesh

seamlessly with the viewer’s experience.

Beyond simple text analysis, AI models

can detect visual cues, sentiment and even

brand safety issues within video content.

That granular understanding helps advertis-

ers avoid mismatches — like a children’s toy

ad running against adult-themed program-

ming — and allows them to place ads when a

viewer is most receptive.

Stefan Lederer, CEO and co-founder of

Bitmovin, said one of AI’s greatest strengths

is “to efciently and accurately search, tag

and categorize content … unlocking new ad-

vertising revenue potential through AI-pow-

ered contextual advertising.”

This means that archival footage or

niche programming can suddenly become

revenue-generating assets, provided the

right sponsors are matched to the right

content.

Forecasting and pricing benefits

Amid this flurry of AI-driven targeting,

there’s also a fundamental question of

how to price inventory. Linear TV once

NAVIGATING THE FUTURE

OF BROADCASTING

MICHAEL P. HILL

Founder and Publisher

DAK DILLON

Editor in Chief

JACOB BILLINGSLEY

Features Editor

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WELCOME

The

broadcast

industry

has always been shaped by

innovation, and today, artifi-

cial intelligence and machine

learning are at the forefront

of that transformation. From

content recommendation en-

gines to automated produc-

tion workflows, AI is redefin-

ing how television is created,

distributed, and consumed.

In this issue, we explore

how broadcasters, streaming

platforms and content cre-

ators can leverage AI to enhance audi-

ence engagement, streamline operations,

and push the boundaries of storytelling.

Whether it’s AI-driven sports highlights,

virtual production advancements, or re-

al-time analytics shaping ad

strategies, the impact is un-

deniable.

As with any technologi-

cal leap, AI brings both op-

portunities and challenges.

Ethical considerations, data

privacy, and the role of hu-

man creativity in an increas-

ingly automated industry are

just some of the discussions

shaping the future of TV.

Join us as we dive into the

world of AI-powered broad-

casting — where innovation meets story-

telling in ways we’ve never seen before. 

Michael P. Hill (with help from ChatGPT)

Founder and Publisher

HILL

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