Session
Mobile + AI in 2026: Build Features, Not Wrappers
There are 10,000 ChatGPT wrapper apps. None will matter in a year. Here's what will.
The AI mobile apps that win aren't just API integrations—they're using AI as a substrate to enable entirely new behaviors impossible without it. This session breaks down the difference.
We'll analyze:
1. Wrappers vs Features: Why "ChatGPT in my app" is already commoditized, but "AI that understands my users' context" is defensible
2. The Data Moat: How mobile apps can collect unique training data (sensors, usage patterns, behavioral signals) that cloud AI can't access
3. Agentic Mobile: Moving beyond chat—AI that takes actions, automates workflows, and operates autonomously within your app
4. The Multimodal Advantage: Mobile has camera, mic, location, motion—use them. Text-only AI is leaving money on the table.
5. Case Study Breakdown: Apps doing this right (and what makes them hard to copy)
For builders who want to understand where mobile AI is actually going, not just where the hype is today.
Prakhar Gandhi
Lead AI Engineer @ Tiger Analytics | Google Developer Educator (Compose & KMP)
Bengaluru, India
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