The New Amazon AI Image Generators are AWFUL

#thatamazonadspodcast #amazonppc #amazonads #TheNewAmazonAIImageGeneratorsAreAWFUL ---------- Get your FREE Amazon PPC bid optimizer: https://adlabs.app/ Join your FREE Discord community of Amazon PPC managers: https://discord.gg/AYfMkfBPzG Sign up for That Amazon Ads Masterclass: https://thatamazonadsmasterclass.com/ Get your FREE Amazon PPC Audit: https://forms.gle/vFvMSRAqoHwyadXB9 ---------- CHAPTERS: ========== 00:00 - Introduction and Focus on Amazon's New Image Generator 00:37 - First Test: A Camping Hammock 03:13 - Amazon's Output: Cartoonish Nightmares and a Floating Hammocks 06:19 - DALL·E Comparison: Noticeably Better but Still Imperfect 07:18 - Tweaking Prompts and Dimensions; Observations on AI Progress 09:42 - Tennis Racket Test and Emerging Text Recognition 10:37 - Text-Handling Progress and Amazon’s “Sticker-on-Background” Problem 11:32 - Dog-Toy Misfires and the Slow March Toward Usable AI Creatives 12:20 - Pet-Supply Fiascos and the “Giant Box in the Backyard” 14:09 - Why Real Lifestyle Images Matter—and Amazon’s Still Misses the Mark 16:00 - Hydro Flask Trial, “Deep Research,” and Amazon’s Video Builder 17:25 - Tool Fatigue and a Humorous Shutdown 18:07 - Business Performance Insights: A Practical Glimmer of AI Utility 19:21 - Strengths and Limitations of Amazon’s Analytics AI 20:36 - The Future: Causal Insights and AdLabs’ Vision for an AI Auditor 22:29 - Dreaming of Context-Aware Diagnostics and Episode Wrap-Up ========== Episode 94 of That Amazon Ads Podcast reviews the new Amazon AI Images Generator, which turns out to be awful. Andrew and Stephen test the in-platform image generator on several products and find it mostly pastes the main product photo onto awkward backgrounds, delivering far poorer results than the same prompts run through DALL·E. They stress that effective lifestyle creatives must place the item in a believable context and note Amazon’s tool is “years behind.” A brighter spot is Amazon’s AI-driven Business Performance Insights panel, which quickly summarizes year-over-year sales and traffic, though it still lacks deeper context and custom-date flexibility. They close by envisioning a future AI that can automatically diagnose conversion drops, factoring in competitors and account nuances, and invite listeners to suggest further AI experiments for upcoming episodes. ========== 🔗Connect with Stephen & Andrew: Stephen: https://www.linkedin.com/in/stephen-noch Andrew: https://www.linkedin.com/in/andrewbailiff 🎙️Follow That Amazon Ads Podcast: LinkedIn: https://www.linkedin.com/company/that-amazon-ads-podcast/ Spotify: https://podcasters.spotify.com/pod/show/that-amazon-ads-podcast YouTube: https://www.youtube.com/@ThatAmazonAdsPodcast 👋Closing Remarks: If you found this episode valuable and insightful, you can support us by liking, subscribing, and leaving us a review on your podcast platform of choice. Your feedback means the world to us and helps us improve the show. If you have any questions or thoughts to share, don't hesitate to contact us on LinkedIn. Stay tuned for the next episode, next week, same place!