Is an AI image generator better than using stock photos?

It's not about 'better.' It's about what job you need done. Stock photos give you a real, predictable result instantly. AI image generators give you total creative control but with less predictability. I'd pick stock photos when I need a reliable, professional image of something that actually exists — like a photo of a business meeting or a specific landmark. I'd use an AI tool like Midjourney or DALL-E when I need a visual that doesn't exist anywhere else. Maybe a 'purple robot teaching a yoga class on Mars.' You won't find that on Shutterstock. The big advantage of AI is uniqueness. According to a Venngage survey, over 36% of marketers said finding unique visuals was their biggest content challenge. AI solves that. You're not stuck with the same smiling customer-service rep that twelve other companies are using. The downside is quality control. AI still struggles with hands, text in images, and sometimes creates weird artifacts. Stock photos are finished products. AI images often need cleanup. Here's a real example. A friend runs a small bakery. For her blog posts about sourdough, stock photos work great. There are thousands of beautiful bread photos. But for her 'Doughnut of the Month' club, she uses AI. She generates a new, whimsical doughnut design each month — something that doesn't exist in reality. It's become her brand's signature look. One tip: the cost model is different. Stock photo subscriptions charge per download. AI image generators like Adobe Firefly often charge based on generation credits. If you need hundreds of images a month, stock photos might actually be cheaper. If you need a handful of highly specific, unique images, AI is the way to go. Think about whether you value speed and uniqueness over guaranteed, production-ready quality. That's the real trade-off.