Story Engines Are the Next Evolution of Digital Asset Management and AI

Generative AI is rapidly transforming the marketing landscape, particularly in the realm of digital asset management (DAM). Despite initial skepticism, the allure of cost-effective and fast content creation has driven widespread AI adoption, leading to shifts in marketing roles and responsibilities. DAM systems, traditionally used for organizing and distributing content, are poised to evolve into "story engines" that leverage AI to orchestrate and generate diverse marketing materials.

Key Takeaways:

• AI is automating tasks previously performed by skilled creators, leading to a shift in marketing jobs and roles.

• DAM systems could become "story engines" that leverage AI to generate various marketing materials, from social media posts to email templates.

• Marketers need to adapt and acquire new skills to effectively utilize generative AI in DAM systems.

• Challenges such as cost, technological limitations, and image quality need to be addressed for successful AI integration in DAM.

Read More: CMS Wire

AI adoption gap found between executives and entry-level marketers

Recent studies reveal a disparity in AI adoption among marketers, influenced by both job role and company size. Marketing executives are more likely to utilize and value AI tools compared to entry-level marketers, with a greater percentage trusting AI to enhance creativity. Similarly, larger companies demonstrate a higher rate of AI adoption and training compared to their smaller counterparts. Despite these gaps, the overall trend indicates a significant rise in AI adoption across the marketing landscape, with the majority of marketers anticipating increased AI deployment in the coming year.

Read more: MarTech

Google debuts new AI video generator Veo 2 claiming better audience scores than Sora

Read More: Google Labs