The Cost Of AI Productivity Is Less Creativity

· Source: Featured Blogs - Forrester · Field: Business & Management — Marketing, Branding & Advertising, Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership · Depth: Intermediate, quick

Summary

The article highlights how marketing agencies' widespread adoption of AI, particularly generative and agentic AI, prioritizes productivity and cost efficiency over creative quality and effectiveness. Nearly nine out of 10 agencies use AI for marketing creation, with 81% prioritizing staff productivity for genAI and 63% for agentic AI. In contrast, only 65% value improving creative ideation with genAI and 35% with agentic AI. Corporate marketers primarily request cost efficiency (71%) from agencies, while marketing performance (49%) and revenue growth (27%) lag significantly. AI remains a cost of business for most agencies, with fewer than 10% monetizing genAI investments, though agentic AI shows promise for monetization. This focus on efficiency risks eroding brand distinctiveness and long-term growth.

Key takeaway

For CMOs leading AI strategy, focusing solely on AI-driven cost efficiency risks undermining brand distinctiveness and long-term growth. You should reset your AI expectations from mere productivity to effectiveness, prioritizing creative quality and marketing performance. Guide your agency partners to innovate with AI for strategic impact, ensuring your brand differentiation drives organic business growth rather than just cutting costs. Otherwise, you risk forfeiting AI transformation to tech partners.

Key insights

Marketing agencies' AI adoption prioritizes efficiency, risking creative quality and long-term brand growth.

Principles

In practice

Topics

Best for: AI Product Manager, Product Manager, Marketing Professional, Director of AI/ML, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.