Marketing agencies adopt AI without fixed guardrails

Agencies embrace conversation over codification

Marketing agencies are deploying AI tools across their workflows without establishing firm boundaries between human and machine contributions. Rather than implementing strict protocols, industry leaders are opting for flexible, conversation-based approaches that evolve as comfort levels shift.

Evin Shutt, global CEO at 72andSunny, described the agency's philosophy in a recent Digiday Podcast episode: "We're going to navigate it all through conversation, and what feels right, when does it feel right." He suggested that practices that seem uncomfortable today may become routine within months.

The approach reflects a broader industry trend where marketing executives are pushing for company-wide AI adoption to accelerate brainstorming, scale creative production, and secure client business—all without universal standards for where algorithmic assistance should end and human creativity should begin.

Why it matters

The absence of defined AI guardrails in marketing creates uncertainty for workforce planning and skill development. As agencies experiment with fluid frameworks, they're simultaneously creating new roles (AI art director, prompt engineer, chief AI officer) while potentially eliminating traditional entry points that have historically served as training grounds for marketing professionals.

Entry-level workers face compounding barriers

The shift toward AI-first workflows has particular implications for people entering the advertising industry. Isaiah Clay, a recent graduate of Southern University in Louisiana, spoke on the same podcast about how AI is reshaping career prospects for early-career professionals.

"There is a lot of learning that AI is doing that a lot of early talent, I guess, won't get to experience if AI gets to that point where they [the AI agents] do start replacing some of those entry-level jobs," Clay said. He added that AI represents "another barrier" on top of existing structural obstacles.

The concern centers on the loss of foundational learning opportunities. Entry-level positions have traditionally provided hands-on experience with tasks that build broader marketing competencies. As AI systems absorb these responsibilities, new graduates may lack pathways to develop the expertise that senior roles require.

Frameworks written in pencil

Marketing leaders are treating AI guidelines as provisional rather than permanent. This pencil-not-pen approach allows for rapid iteration as capabilities expand and organizational comfort grows. However, it also means employees must navigate shifting expectations in real time, without clear precedents or stable best practices.

The dynamic creates a paradox: agencies demand universal AI tool usage while simultaneously leaving fundamental questions about appropriate application unanswered. The result is an industry-wide experiment conducted at production scale, with both creative output and career trajectories serving as test cases.

These details were first reported by Digiday in coverage of the agency's AI adoption strategies.