For marketers, AI-generated imagery tools open up new possibilities for content personalization and campaign engagement…but only when applied in strategic, targeted ways.
AI-generated imagery platforms like Flux, Runway, and DALL-E are becoming a valuable part of marketing, design, and UX toolkits. But with all the options available, it’s sometimes difficult to understand where and how these tools actually bring value — and where they fall short.
In a recent Marketing Against the Grain episode, Kieran and I discuss common challenges teams face when using AI image tools, practical use cases for maximum performance, and best practices for integrating AI imagery into your workflow.
Three Key Challenges of AI-Generated Image Adoption
AI image generation holds massive potential — but its adoption isn’t without hurdles. In particular, three challenges preventing widespread use that Kieran and I often see are:
1. Hesitation due to privacy and security concerns.
Employees hesitate to engage with AI tools, often …