Kantar has published a new report, "The state of GenAI in Media and advertising: Momentum meets reality," examining how far generative AI has actually penetrated media planning, advertising production and campaign measurement — and where the industry's enthusiasm collides with deliverable results.

The report's framing signals the trade-press question of the moment: after two years of vendor promises, is the ad industry buying real output or buying the story? Kantar's title itself draws the line — momentum on one side, reality on the other.

What does the report cover?

Kantar positions the study as a status check on generative AI across the media and advertising supply chain. The topic spans:

• Creative production and asset generation
• Media planning and buying workflows
• Audience insight and campaign measurement
• Organizational adoption inside brands and agencies

The publisher, Kantar, is one of the largest global research and analytics firms serving brand advertisers, so the report speaks primarily to marketing decision-makers weighing where GenAI earns its keep.

Why does the "reality" half of the title matter?

Industry surveys through 2024 and 2025 have consistently shown a gap between GenAI experimentation and GenAI deployment that moves business numbers. That gap is precisely what a "momentum meets reality" framing addresses.

Buyers in the ad sector have voiced three recurring complaints:

• Tool output often needs heavy human rework before it clears brand and legal review
• Measurement of GenAI-assisted campaigns against non-assisted ones remains thin
• Cost savings promised in vendor pitches rarely survive contact with full production budgets

A report from a measurement company like Kantar carries weight here because Kantar sells the audience and brand-lift data that would confirm or refute GenAI's contribution. When the measurer says reality lags momentum, media buyers tend to adjust roadmaps.

Who should read it?

The report targets brand-side marketing teams, agency strategists, media planners and ad-tech vendors. For operators, the practical questions a document like this should answer are concrete: which GenAI use cases already produce shippable work, which still require supervision, and where budgets are actually moving.

Mart Signal could not independently verify the report's specific findings, figures or methodology from the syndicated distribution copy available at publication time. Readers should treat the themes above as the report's stated scope, not as vetted data points. We will update this story once we obtain the full document from Kantar.

What happens next?

Expect the momentum-versus-reality framing to recur across 2025 industry research. As GenAI moves from pilot budgets into production line items, measurement firms — not model vendors — will increasingly set the narrative on what the technology delivers. Reports like this one are the first draft of that verdict.