Dentsu and Hearst TV automate ad-buying workflows using AI forecasting

The immediate implication is a drastic reduction in operational overhead as algorithmic forecasting replaces manual spreadsheet work for national and local buys. This shift forces a change in the streaming ecosystem's labor model, where the value of media professionals moves from execution to high-level strategic auditing. Furthermore, the integration of AI into local linear addressable advertising allows traditional broadcasters to compete with connected TV (CTV) platforms on targeting precision and speed. Strategically, this creates a 'human-in-the-loop' requirement to prevent automated systems from creating feedback loops that could lead to pricing erosion or brand safety risks. Watch for whether these efficiency gains lead to a corresponding increase in total local ad spend by late 2026.

The push toward automated media workflows coincides with a broader industry shift toward 'agentic AI,' where autonomous systems orchestrate entire marketing lifecycles. Per Dentsu in April 2026, the agency has overhauled its dentsu.connect platform into an AI-powered operating system that unifies creative, media, and experience silos. This version 4.0 update uses small language models and frontier models like Google's Gemini to move away from linear tasks toward predictive, outcome-driven decision-making. Dentsu reported that its automation initiatives saved 600,000 annualized hours as of late 2023, with projections to exceed one million hours saved through expanded AI adoption.

Competitive pressure is mounting as traditional broadcasters use AI to bridge the digital gap. In June 2026, Hearst Television and Viamedia.ai launched a household-level addressable advertising platform using the Parrot Ad Decisioning System. This technology allows broadcasters to target individual households within broadcast streams—a feature previously restricted to digital and CTV environments. Per Hearst, the platform could increase monetizable impressions by up to 25% by opening inventory to audience-based targeting. This development is significant as it enables addressability on existing broadcast infrastructure without requiring the full nationwide deployment of the ATSC 3.0 standard.

Market data underscores this transition: per Comcast Advertising in January 2026, 77% of advertisers believe AI is actively transforming TV ad buying. While 82% of buyers currently use AI for audience segmentation and behavior analysis, the top priority for 2026 has shifted toward using AI for measurement and attribution. However, the sector faces a 'value gap,' as 61% of advertisers reported they have yet to see meaningful ROI from their AI investments, despite the clear operational speed gains reported by major agencies and station groups.