Observed Signal · Jun 11, 2026 · Industry Roundup · Source: AdExchanger · Impact: 3/5 · Sentiment: Neutral
Marketers Embrace AI, Avoid AI for Media Buying
A Digiday survey of more than 100 marketers shows widespread adoption of AI for low-stakes tasks—data analysis and content creation—while few marketers trust AI to make media-buying decisions. Among marketers using AI for social campaigns, about two-thirds use it for data analysis, 57% for content creation, and only 32% to buy ad placements. The roundup also highlights agency M&A activity aimed at creator and youth marketing: Havas acquired Archrival (folding it into Havas Play) and Accenture Song bought creator-focused agency Whalar. LinkedIn is planning creator monetization tools in its 2027 fiscal year roadmap. Separately, OpenAI announced a data partnership with LiveRamp around LiveRamp’s conversion API hub and is reported to be in talks with NVIDIA about a very large Ohio data center. Disney promoted Brette Lipari to VP of advertising sales.
Survey shows cautious industry adoption of AI for high‑stakes tasks (media buying) and highlights agency M&A and platform moves into creator monetization — trends that influence media strategy, vendor demand, and creator economy budgets.
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Key Takeaways & Evidence Grounding
- Digiday surveyed more than 100 marketers about AI use in marketing.
- Among marketers using AI for social campaigns, ~66% use it for data analysis and 57% for content creation.
- Only 32% of surveyed advertisers use AI to buy ad placements (including retail media buys).
- Havas acquired experiential youth culture agency Archrival and will fold it into Havas Play.
- Accenture Song acquired creator-focused agency Whalar; OpenAI announced a data partnership with LiveRamp (conversion API hub).
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Marketers Trust AI to Buy Media, Not Build Brands
Marketing leaders are increasingly using AI to automate programmatic media buying, bidding and creative iteration, but remain cautious about letting AI define brand meaning, voice or core creative strategy. Executives from agencies and brands — including Motto, Ally Bank, Duluth and Mondelez — say AI is valuable for efficiency and scale (bidding, brainstorming, asset scaling) but that human oversight is required for brand insight and messaging. Consumer research cited (Canva’s 2026 report) shows mixed sentiment: many shoppers accept AI-driven relevance but a larger share prefer human-made ads. Platform vendors such as Google and Canva have released AI marketing tools, yet adoption for full creative ownership remains limited across marketers.
Marketers See AI Benefits; Trust Limits Agentic AI
Digiday+ Research (excerpt) summarizes a survey of 142 brand and agency professionals (conducted Q4 2025) showing widespread embedding of AI across marketing workflows but persistent barriers to broader adoption. Generative AI has higher adoption than predictive AI, with generative tools most used for creative production (82%), marketing (81%) and external/internal communications (75%/56%). Predictive AI is most commonly applied to measurement and KPI analysis (48%). More than half of respondents (54%) said their companies do not use agentic AI; interviewees and case studies (Unilever, Kroger, Monks) illustrate benefits but highlight trust, governance, data access and technical complexity as obstacles to agentic AI adoption.
Marketers Increase AI Use; Technical Skills Lag
Digiday+ Research, based on a survey of 142 brand and agency professionals and interviews with marketing and tech executives, finds marketers’ adoption of AI has climbed sharply (from 44% in 2022 to 86% in 2025) but organizational tech skills, upskilling and strategic use lag behind tool adoption. The report notes many companies favor out-of-the-box AI tools (85% of respondents), while fewer build on existing LLMs (40%) or train proprietary LLMs (19%). Firms have appointed chief AI officers (brands such as General Motors, Mastercard and ZocDoc; agencies including Golin, Luckie & Co. and Horizon Media). Interviewees flagged economic concerns about GPU/TPU infrastructure costs, gaps between baseline user familiarity and advanced internal usage, and growing platform interoperability (e.g., Adobe integrating Google models and Google Vertex AI).
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