Notion Performance Degrades as App Adds Unwanted AI Features
Power users of Notion report sluggish performance as the product grows heavier with AI features they did not ask for. The trade-off between feature breadth and responsiveness is pushing some users toward leaner alternatives like Obsidian and Logseq. This reflects a broader tension in productivity tools between growth-driven feature addition and core performance.
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Similar Problems
surfaced semanticallyNotion Android App Is Unusably Slow, Laggy, and Buggy
A user describes the Notion Android app as not usable due to severe slowness, lag, and bugs, while also being forced online and pushed toward AI features they don't want, leaving only the interface design as a positive.
Users Frustrated by Unwanted AI Features Forced Into Note-Taking Apps
A long-time Notion user says the app was better before it became cluttered with AI features they did not ask for, eroding the simplicity that made it valuable. This reflects a broader tension between SaaS vendors pushing AI integrations and users who want lean, focused tools.
Forced AI Features Disrupt Users Who Want a Lightweight Notion
A longtime Notion user reports that features they valued — simplicity and a lightweight workflow — are being eroded as the product pushes AI capabilities into the core experience, creating disruption for users who did not ask for them. This reflects a broader tension between tool minimalism and vendor-driven AI feature expansion.
Unwanted AI features clutter and degrade the core app experience
Users report that AI features added to Notion were unrequested and have made the core product worse to use, reflecting a broader pattern of vendors bolting on AI capabilities that erode existing workflows. The complaint centers on degraded usability rather than a specific bug.
Notion Mobile App Severely Degraded by AI Integration Overhead
Notion's mobile app became critically slow after AI features were added — users report 30+ second response times to clicks and pages intermittently appearing blank. The instability has caused users to abandon the platform entirely in favor of analog alternatives. The pattern suggests AI feature rollout introduced regressions that were not caught before shipping to mobile clients.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.