AI has restarted the browser wars. The prize isn’t tabs or benchmarks—it’s your data. Most “AI browsers” ship a cloud-first model that vacuums everything into remote systems. That breaks on mobile (where your life actually lives), creates privacy theater, and delivers mediocre personalization.
In this flash talk, Matt McKinney (CEO, AIGNE, an ArcBlock company) argues for a different path: own your data, run AI close to it, and fetch from the cloud only when you must. When the state lives with the user, agents get sharper, latency drops, and compliance gets simpler. This isn’t theory—expect a blunt assessment of trade-offs and a practical blueprint you can implement now.
What you’ll learn#
- Why cloud-only “AI browsers” fail on mobile and in privacy-sensitive orgs.
- A minimal architecture: user-owned identity (DID), local index, scoped retrieval, explicit revocation.
- What never leaves the device—and how to prove it (logs, attestations, red-team checks).
- KPIs that matter: quality lift from local context, latency, cost per query, data exposure surface.
- How to start: a 30/60/90-day rollout plan for product teams.
Who should attend#
Product leads, mobile/browser engineers, security & privacy teams, founders, and anyone tired of “AI” that phones home for everything.
Event details#
- Register here
- Format: Flash talk + Q&A
- When/Where: October 28, 2025
- Speaker: Matt McKinney, CEO of AIGNE (an ArcBlock company)