Ad Tech|Index 01
AI's Content Paradox: Canto CMO on Managing the Deluge
Marketers face a deluge of AI-generated content. Digital Asset Management platforms are integrating AI to address the very problem they helped create.
- Via
- ADVERTISE TOKYO Editors
- Dateline
- TOKYO
- Date
- June 17, 2026
- Time
- 5 min read
Source
MarTech.orgAI creates content, AI manages content.
Tagline
AI creates content, AI manages content.
Who & For What
For in-house content teams, brand managers, and creative operations leads at Japanese consumer brands struggling with the volume and compliance of AI-generated marketing assets.
vs. Japan Play
While some Japanese agencies like Dentsu and Hakuhodo offer content production and management, dedicated AI-enhanced DAM solutions are less prevalent than in Western markets, often relying on manual processes or generic cloud storage.
Tokyo Take
This discussion highlights a universal pain point, but its immediate impact on Tokyo marketers is nuanced. Many Japanese brands, especially traditional enterprises, still manage creative assets through shared drives or basic cloud storage, often with manual approvals. The sheer volume of AI-generated content might not yet be overwhelming for all, given a slower adoption rate of generative AI in regulated industries or those with strong brand consistency requirements.
Canto CMO Erica Gunn recently addressed the growing challenge marketers face managing an explosion of content, a phenomenon increasingly driven by AI. The core issue is that while AI accelerates content creation, it simultaneously exacerbates the organizational burden, leaving many marketing teams struggling to maintain control.
Gunn highlighted a paradox: AI is both the cause and the potential solution for this content deluge. As AI tools generate copy, images, and video at unprecedented rates, marketing departments risk drowning in unorganized assets. Digital Asset Management (DAM) platforms, like Canto's, are now positioning themselves to leverage AI not just for creation, but for sophisticated content governance.
AI is both a problem and a solution for marketers drowning in content.
Specifically, AI capabilities within DAM systems aim to automate critical tasks. This includes intelligent tagging and metadata generation, which makes vast content libraries searchable and discoverable. AI can also assist with version control, ensuring marketers use the latest approved assets, and streamline rights management to prevent unauthorized usage. The goal is to enforce brand consistency and compliance at scale, reducing manual oversight.
This trend extends beyond Canto. Major DAM vendors and broader marketing cloud providers are integrating similar AI functionalities. The underlying promise is to transform a chaotic content pipeline into a structured, accessible resource. The focus shifts from merely storing assets to actively managing their lifecycle, from creation to distribution and archival, all while maintaining brand integrity.
While AI offers operational efficiencies, the core challenge remains human oversight. Ensuring the quality, strategic alignment, and ethical compliance of AI-generated content, even when managed by AI-powered DAM, still requires a human touch. The technology provides the framework, but the strategic direction and final approval remain with the marketing team.
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