Future of Marketing Briefing: AI has created a new talent paradox in programmatic agencies

It’s been another busy week for big news but I wanted to use this week’s briefing to write about something that’s been sitting with me since the Digiday Programmatic Marketing Summit last week: AI is flattening the base of the talent pyramid before agencies have figured out how to rebuild it.

Session after session, leaders admitted that the work that once served as training wheels for juniors is evaporating. Reporting is auto-generated. Performance summaries write themselves. Pieces of planning now run in the background. The muscle memory that used to form by doing the repetitive stuff is no longer being built as intensely.

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Why programmatic buying alone isn’t enough to win on CTV

Alex Visoky, director of client services, Tatari

Connected TV ad spend is projected to reach $51 billion globally by 2029, accounting for nearly half of traditional broadcast TV advertising revenue. That shift reflects how quickly the marketplace is maturing and how aggressively advertisers are reallocating budgets to streaming environments.

But as money moves, so do advertisers’ assumptions. Many brands are approaching CTV as if it were a direct extension of other digital channels where they can plug into programmatic pipes, chase efficient CPMs and let algorithms do the heavy lifting. But the reality is more complicated.

Programmatic CTV advertising may be growing fast, but it still represents only a slice of the streaming inventory available to advertisers. In fact, 90% of all CTV impressions come from just 10 publishers, according to recent data from Tatari. Brands that rely on programmatic as their primary media buying model are missing out on substantial opportunities to reach audiences across the broader TV ecosystem.

“If anyone tells you you can programmatically do television forever, they’re full of it,” Nick Fairbairn, vp of growth marketing at financial technology company Chime, said during Advertising Week. “The winners are going to marry data, technology and relationships.”

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