A new report from Forrester and the 4As, released June 26, 2026, finds that nine in 10 US marketing agencies now use generative AI, and half have adopted agentic AI for marketing execution. Yet the industry's overwhelming push toward productivity and cost savings is eroding creativity, differentiation, and long-term brand growth.
The study, "The State Of AI Inside US Marketing Agencies, 2026," shows that enhancing staff productivity remains the top objective for agencies using genAI (81%) and AI agents (63%) for the second straight year. The most common use cases-building creative content, crafting media and SEO strategy, and improving internal productivity-deliver immediate efficiency gains. According to the report, that short-term focus stifles long-term creative and commercial potential.
Efficiency is not effectiveness
"AI has fundamentally transformed marketing agencies, but the industry is at risk of mistaking efficiency for effectiveness," said Jay Pattisall, VP and principal analyst at Forrester. "Our research shows that while agencies have successfully embedded AI into workflows and boosted productivity, they must now reset expectations and invest in creativity, talent, and marketing performance. Leaders who reinvest AI-driven efficiencies into innovation and differentiated experiences will be best positioned to drive sustainable growth and deliver meaningful business outcomes."
The report's authors call on CMOs and agency heads to channel efficiency gains into talent, training, and AI-powered marketing operating systems that enable differentiated experiences. For professionals looking to sharpen their AI marketing skills, resources like AI marketing leadership courses provide focused learning paths for moving from cost-cutting to creative impact.
Barriers holding back broader AI adoption
Accuracy and bias concerns (63%), legal worries (62%), and privacy and security risks (55%) remain the top obstacles to deeper AI integration. For agentic AI specifically, lack of expertise (54%) and gaps in data infrastructure (51%) further slow deployment. These numbers show that despite widespread use, agencies still wrestle with trust and readiness issues that prevent true scaling.
Monetization still lags
Sixty-one percent of agencies classify AI as a "cost of business," with limited direct revenue attached. Agentic AI offers a potential shift: 31% of agencies plan to monetize it within the next 24 months. This signals a slow move from AI as an internal productivity tool toward a client-facing service, though the path to profitable new offerings remains uncertain.
"The conversation around AI is evolving from adoption to impact. Agencies have embraced the technology; now the focus needs to be on how we use it to drive better marketing, stronger client outcomes, and new forms of value," said Mollie Rosen, president of member solutions at 4As. "The real opportunity isn't simply doing the same work faster - it's using AI to unlock capabilities, experiences, and growth that weren't possible before."
Why this matters for marketing professionals
Marketing teams that only deploy AI for cost reduction risk becoming interchangeable vendors rather than strategic partners. The evidence from this report makes clear that reinvesting AI-driven time and budget savings into creative testing, staff upskilling, and client-specific brand-building systems separates firms that grow from those that just cut. CMOs and agency leaders who treat AI efficiency as a funding source for differentiation-not the end goal-will own the next era of marketing value.
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