First-order effects

• Users get faster installs and startup times with no action required, because the feature ships enabled by default — meaning their devices contribute app-performance data to Google's crowd model unless they opt out.
• Developers of well-optimized apps see immediate benefit: Google has ranked apps that crash less and drain less battery higher in the Play Store since its performance-based ranking update, so crowdsourced speed data now compounds that advantage.

Second-order effects

• Laggard developers face a two-sided squeeze: slower apps now install worse AND rank worse, pushing engineering budgets toward startup-time and footprint optimization as a distribution cost, not just a quality goal.
• The feature strengthens the engagement-based ranking loop Google set up when it began promoting games on continued use rather than raw installs — install counts become an even weaker proxy for visibility.

Third-order effects

• If the pattern holds, Android distribution keeps converging on a continuum — search-result installs, instant play, partial downloads, accelerated full installs — where the 'app install' stops being a discrete event and the Play Store's algorithmic layer, not the store listing, decides what users effectively experience first.
• Default-on collection of device-level app performance data also sets a precedent for how much telemetry Google can normalize into consumer features without explicit consent flows — a structural question regulators are increasingly likely to test.