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Marketers raise concerns over declining standards in AI era

Advertising industry executives are raising urgent concerns about falling creative standards as artificial intelligence continues to transform their field, citing increasing threats to jobs, brand value, and the rise of a “good enough—go” attitude becoming prevalent in 2026.

Work Quality and Brand Identity at Risk Amid AI Expansion

This fall of 2026, the advertising community gathers at its traditional slate of events with a notable shift in focus: AI-driven automation now dominates discussions. While enthusiasm once surrounded innovation, many now express apprehension regarding widespread layoffs and deteriorating creative quality. Central to these worries is the challenge AI poses to workforce security and the excellence of creative deliverables.

At the first-ever AI Marketing Strategies conference, hosted by Digiday, Glossy, and Modern Retail on September 24, senior marketers participated in a confidential town hall under the Chatham House Rules. A primary topic was sustaining high standards as automation reduces the amount of human intervention required.

Executives representing luxury beauty brands and other sectors described how automated solutions frequently fail to mirror the aspiration and attention to detail associated with premium positioning. “The quality control is so bad,” a key figure from a top beauty company stated, outlining the persistent struggle to enforce rigorous standards with so many AI-generated advertisements. According to this executive, teams now rely on what they termed a “10/80/10 formula”: just 10% of effort goes into creating detailed prompts, AI completes 80% of the actual work, and the last 10% encompasses human refinements—barely enough to ensure standards are met, let alone exceeded.

A separate attendee pointed out an increasing dependence on inexperienced agency staff to police the output, with errors—such as improper logos—slipping through. Many said the prevailing attitude has become one of settling for “good enough—go,” a trend that particularly threatens brands aiming to differentiate themselves through excellence in competitive landscapes.

Preserving Brand Integrity Through Change

“Change management” emerged as a primary issue in these conversations. With artificial intelligence speeding up the launch of campaigns, businesses are under growing pressure to address the workforce implications of these changes. The head of a small agency commented that where campaign rollouts once took weeks, “with AI, you can get there within hours … so you have to ask yourself what value do your employees have on top of that?” They compared this upheaval to shifts seen during the 2000s and 2010s in marketing.

Isabel Perry, global executive vice president of strategy at DEPT, emphasized that older measurement systems are no longer effective, particularly now that bots and digital agents are a significant force in web traffic. She encouraged marketers to focus on “measuring gaps”—that is, pinpointing unique human touchpoints in the customer journey and investing budgets where they produce real strategic outcomes. Perry underlined that such an approach is increasingly critical as AI’s influence grows throughout the customer lifecycle.

For Rajiv Ragu, vice president of digital at Thorne, the arrival of the “zero-click world”—one dominated by automated discovery and AI agents—demands renewed attention to brand maintenance. He urged companies to focus not only on fresh content creation but also on the continuous renewal of legacy assets to safeguard brand relevance and reputation.

Adapting Standards as AI Alters the Industry

There is mounting agreement both at events and industry-wide: with AI redefining marketing processes and prompting staff reductions, the development of strong new standards to preserve brand integrity is essential. Experts agreed that without intentional, well-managed change, the elements that elevate premium brands may be lost. Participants underscored the ongoing necessity for strategic human input, even as increasing parts of the process become automated.