Google Is Rewriting Android’s Core to Make Your Phone Faster — Here’s What’s Actually Changing

Google isn’t just tweaking the surface of Android anymore. It’s going deeper — reworking the operating system’s foundational runtime to deliver measurable speed improvements across the board. The changes, detailed in a recent Digital Trends report, target the Android Runtime (ART), the engine responsible for executing every app on your phone.

This matters more than the average feature update. ART is the layer that translates app code into instructions your phone’s processor can actually execute. When Google optimizes ART, every app benefits — not just Google’s own. The improvements are coming through Profile-Guided Optimization, or PGO, and they represent a shift in how Google thinks about Android performance at scale.

Here’s the short version: Google is using real-world usage data to make smarter decisions about which parts of app code to optimize most aggressively. PGO isn’t new — it’s been part of Android since the Nougat era. But Google has significantly expanded how it collects and applies performance profiles, and the results are starting to show.

The mechanism works like this. When you use an app, Android monitors which code paths get executed most frequently. These “hot” paths are then compiled into highly optimized native machine code, rather than being interpreted on the fly. Google aggregates anonymized profile data from millions of devices through Google Play Services, then distributes optimized compilation profiles back to users. So even the first time you open a newly installed app, your phone already knows which parts of the code to prioritize. No waiting for the device to learn your habits.

The performance gains aren’t trivial. According to Google’s own benchmarks, app startup times can improve by up to 15-30% with properly applied PGO profiles. That’s the difference between an app feeling sluggish and feeling instant. And these improvements compound — when the runtime itself runs faster, everything from notification handling to background task scheduling benefits.

Google has also been investing in improving ART’s garbage collection, the process by which Android reclaims memory that apps are no longer using. Poor garbage collection has historically been one of Android’s weak points compared to iOS, causing micro-stutters and frame drops during animations. The newer ART improvements reduce pause times during garbage collection, which translates directly into smoother scrolling and more consistent frame rates.

But there’s a broader strategic angle here too.

Google faces increasing pressure from Apple’s tightly integrated hardware-software stack, where the A-series and M-series chips are designed in lockstep with iOS. Google can’t control the silicon in most Android phones — Samsung, Qualcomm, and MediaTek all make their own decisions. So optimizing the runtime layer is one of the most effective levers Google can pull. It’s a way to deliver performance improvements to billions of devices regardless of who made the chip inside.

This approach also dovetails with Google’s push to deliver more Android updates through Google Play system updates, bypassing the notoriously slow carrier and OEM update pipelines. ART updates can now be delivered as a Mainline module, meaning your phone’s runtime can get faster without waiting for a full OS upgrade. That’s a significant structural advantage. As Digital Trends notes, this modular delivery system means performance improvements roll out faster and reach more devices than traditional Android updates ever could.

There’s also the AI dimension. Google has been integrating on-device machine learning models more aggressively into Android, and these models are resource-hungry. A faster, more efficient runtime means AI features — like live translation, smart replies, and real-time image processing — can run without turning your phone into a space heater. Efficient runtime execution is table stakes for the on-device AI ambitions Google outlined at I/O 2025.

Not everything is rosy. Some developers have raised concerns about the opacity of Google’s profile collection and distribution process. If the aggregated profiles don’t match a particular app’s usage patterns well, the optimization could theoretically make things worse for edge cases. And privacy-conscious users may not love the idea of usage telemetry being collected, even in anonymized form, to feed optimization pipelines.

Still, the net effect is overwhelmingly positive for most users. Faster app launches. Smoother animations. Better battery life from more efficient code execution. These are the kinds of improvements that don’t make flashy keynote demos but fundamentally change how a phone feels in your hand every day.

Google’s competitors are paying attention. Samsung’s One UI team has been working on its own runtime optimizations, and Qualcomm has invested in compiler-level improvements for Snapdragon chips. But Google’s advantage is scale — no one else has usage profile data from billions of active Android devices.

The bottom line: Google is betting that the fastest path to a faster Android isn’t a new chip or a redesigned UI. It’s making the invisible layer between apps and hardware smarter. And so far, the data suggests that bet is paying off.