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In the future, camera captures will be inputs to AI models rather than final outputs, fundamentally changing how we think about photography.
The Reasoning
AI image generation models are reaching quality levels where they can enhance, transform, or completely recreate photos better than traditional camera hardware. Phone cameras are actually getting worse while AI capabilities improve exponentially.
What Needs to Be True
- AI image models continue improving at current pace
- Mobile processing power can handle real-time AI generation
- Users accept AI-enhanced photos as authentic
- Cost of AI image generation becomes negligible
Counterargument
People value authenticity in photography and will resist AI manipulation. Professional photographers and photo purists will drive demand for 'real' photos. Technical limitations may persist longer than expected.
What Would Change This View
If AI image generation hits quality or speed walls, if there's significant user backlash against AI-enhanced content, or if camera hardware makes breakthrough improvements
Implications for Builders
Build photo apps assuming AI enhancement is the core feature
Focus on unique AI filters and styles rather than camera quality
Design for mobile-first AI processing workflows
Consider viral sharing as primary distribution mechanism
Example Application
“A dating app could use AI to ensure all profile photos have perfect lighting and backgrounds, leveling the playing field and focusing attention on personality rather than photography skills.”