Observed Signal · Aug 10, 2026 · Opinion / Analysis · Source: The Drum · Impact: 3/5 · Sentiment: Positive
Agentic AI Makes Process Invisible — Performance Sells
Chris Neff, global chief AI officer at the creative agency Anomaly, argues that agentic AI will not end SaaS but will expose and reduce tool sprawl by acting as an orchestration layer across existing platforms. He says the hard work is plumbing, governance and contract language to allow agents to touch client data. As AI makes production cheaper and abundant, the scarce resource becomes human judgment, taste and cognitive diversity. Neff distinguishes bad friction (tedium) from good friction (creative shaping), argues for AI tenets and red‑teaming AI outputs, and frames AI as enabling ambition rather than headcount reduction. He predicts organizational “metabolisms” that are fed rather than maintained, and warns that as process and methodology become invisible, firms that sell how they work will lose value; what remains to sell is demonstrable performance.
Argues a structural shift: agentic AI could erase process-based billing and tool differentiation, forcing agencies and MarTech vendors to prioritize governance, contracts, talent and measurable performance — a meaningful but not platform-level industry change.
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Key Takeaways & Evidence Grounding
- Chris Neff is the global chief AI officer at the creative company Anomaly.
- Neff argues agentic AI will act as an orchestration layer across existing platforms and expose tool sprawl rather than kill SaaS.
- Anomaly is rebuilding its internal software stack into an 'OS' that requires plumbing, governance and contract changes to support AI workflows.
- Neff claims the scarce industry resource will shift from content to human judgment and taste as AI makes production abundant.
Ontology Mapping & Concepts
Related Market Signals & Shifts
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Agentic AI Makes Media More Efficient—But For Whom?
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Agentic AI Drives Marketing Transformation
Agentic AI is framed as an organizational decision rather than a tool, according to Julian A. Kramer of Adobe. At Adobe AI Forum Munich 2026, the discussion emphasized shifting from isolated tools to orchestrated agent workflows, governance, and infrastructure. Adobe highlights Agent Orchestrator within the Experience Platform as a key example of cross‑team automation, while industry voices like McKinsey and Gartner caution that success requires clear goals, governance, and cost controls. German adoption is strong, with over 90% of surveyed companies using or planning Agentic AI per Adobe’s Agentic Readiness Report. Use cases include customer segmentation, journey testing, and A/B testing, with chatbot traffic conversions up 31% and content improvements driving 68% greater buyer confidence and 1.2% fewer returns YoY. The piece also discusses explainability by design, specialized agents, and the need to hire for meta‑skills to sustain growth.
Agentic AI Reshapes Marketing Workflows, McKinsey Says
A McKinsey & Company analysis finds agentic AI — AI agents that execute multi-step marketing tasks under human supervision — is gaining traction and could support as much as two‑thirds of current marketing activities. The report says agentic systems, built on foundation models, can accelerate campaign processes (10–15x) and speed content cycles (up to 4x), and that organisations piloting integrated agentic workflows have seen potential revenue uplifts of 10–30%. Widespread experimentation has produced fragmented, isolated deployments; the primary barriers to scale are systems interoperability, unified data layers, identity frameworks and API-driven activation rather than model capability. Vendors such as Adobe and HubSpot are embedding AI agents into marketing platforms, but McKinsey notes fewer than 10% of firms have deployed end-to-end workflows that generate measurable value.
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