Observed Signal · May 20, 2026 · Partnership · Source: Digiday · Impact: 3/5 · Sentiment: Neutral
Agencies Clash Over Ownership of Agentic Workflows
Agency leaders say deploying AI agents into marketing workflows is now standard practice, but ownership, governance and best practices remain unclear. At Digiday’s Programmatic Marketing Summit town hall, anonymous agency and brand execs described inconsistent internal controls, case-by-case policing of agentic workflows, and concerns about over-reliance on generative AI for client work. Gartner research cited in the piece finds CMOs allocate an average of 15.3% of marketing budgets to AI initiatives; 70% aim to be AI leaders while only 30% feel ready to scale. Agencies are already spending on tools like Google Performance Max and Meta Advantage+. The IAB Tech Lab recently launched a Programmatic Governance Council including WPP, Disney, Magnite, Yahoo, Amazon Ads and The Trade Desk to develop governance frameworks and transparency guidance.
Agencies are rapidly adopting agentic AI while governance and best practices lag; Gartner budget figures show meaningful marketing budget shifts to AI, and the IAB Tech Lab council could influence industry standards for programmatic/agentic workflows.
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Key Takeaways & Evidence Grounding
- Digiday published a May 20, 2026 article reporting agencies struggle to govern agentic AI workflows.
- Gartner research cited: CMOs allocate an average of 15.3% of marketing budgets to AI initiatives; 70% prioritize being AI leaders while 30% say they can scale AI capabilities.
- Agencies are using AI-driven ad tools such as Google Performance Max (PMax), AI Max for Search, and Meta Advantage+ across teams.
- The IAB Tech Lab formed a Programmatic Governance Council that includes WPP, Disney, Magnite, Yahoo, Amazon Ads and The Trade Desk to outline workflows and governance guidance.
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Marketers Add Guardrails to AI Programmatic Buying
AI agents are being tested in programmatic media buying, but marketers are adding strict guardrails and human oversight to limit risk. At Digiday’s Programmatic Marketing Summit, agency and brand speakers described internal controls — for example, Kelly Scott Madison (KSM) uses an internal agent called “the librarian” as a gatekeeper for brand voice, and Bayer enforces spend caps plus data anonymization before activations. Concerns driving controls include model hallucinations, opaque decisioning and potential budget blowouts. The IAB Tech Lab in late April launched a Programmatic Governance Council (with initial participants such as WPP, Disney, Magnite, Yahoo, Amazon Ads and The Trade Desk) to develop governance and auction-transparency guidance. Until industry standards and greater transparency exist, speakers emphasized keeping humans overseeing agentic systems.
Agencies Rethink Ownership of Agentic AI and Data
At Programmatic IO in New York, agency leaders debated the future of data and AI tool ownership. Executives from S4 Capital, Horizon Media, Dentsu, and WPP agreed that agencies should avoid owning client data and AI models to maintain neutrality and avoid conflicts of interest. They highlighted a shift from FTE-based compensation to outcome-based pricing and licensing AI tools to clients. The panel also discussed AI's impact on DSPs, with WPP's McAndrew noting a move toward agent-to-agent interactions and increased supply-chain compression. Sorrell warned of Big Tech platforms like Meta becoming end-to-end threats, pushing agencies to become validators. The discussion reflects a broader industry trend away from data ownership, contrasting with Publicis's acquisition of LiveRamp.
Agencies Say AI Adoption Outpaces Advertisers
Agency leaders at Cannes Lions told Digiday that agencies are further advanced in AI adoption than their brand clients. Executives described agencies building sophisticated internal AI tooling and platforms while many CMOs remain constrained by governance, procurement, legal sign-off and static marketing budgets. One agency executive said an agency AI platform has grown revenue triple digits for five consecutive quarters, but clients fall into four camps—from active builders to outright dismissers—leaving a widening gap. Analysts say advertisers are demanding transparency about where AI is used. The reporting highlights tension between agency capability and advertiser readiness, with debate over whether agencies are genuinely ahead or using the narrative to justify fees.
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