Modern AI tools promise instant photo editing magic with simple text prompts. Gemini's Nano Banana and similar platforms can generate impressive results for basic tasks, but professional work demands precision and consistency.
This comprehensive comparison tests AI capabilities against traditional Photoshop techniques across skin retouching, compositing, background removal, and photo restoration to reveal where each approach excels.
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Key Insights from AI vs Photoshop Testing
- AI excels at photo restoration — damaged vintage photos see remarkable improvement with minimal effort, making this the strongest professional use case
- Skin retouching loses texture quality — AI tends to over-smooth skin, removing natural texture that maintains realistic appearance
- Resolution limitations affect all AI results — output quality degrades noticeably when zoomed in, limiting print and professional applications
- Background compositing works inconsistently — simple replacements succeed, but complex hair masking often fails where Photoshop provides reliable control
- Traditional skills provide backup solutions — understanding fundamental techniques ensures project completion when AI tools produce unpredictable results
Related Tutorials about AI and Photoshop Techniques
Explore more comparisons between AI tools and traditional Photoshop methods.




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