The Pixel 10 feature that remembers everything so I don’t have to

You switch apps at the check-in desk, but cannot find your booking confirmation. Or a friend texts, “What’s the address again?” and you dig through emails, messages, and calendar invites for one detail.

Your phone holds everything, but the information is scattered across many apps. Every day, you pay a mental tax for that disorganization.

What if your Google Pixel phone organizes itself and helps before you even ask? That’s the promise of Magic Cue, the standout feature of the new Google Pixel 10 series.

Magic Cue shifts assistants from reactive to proactive

Over the past decade, assistants like Siri and Google Assistant have been reactive. They wait for commands. They’re powerful, but you still have to know what to ask and when.

Magic Cue is the next step. It’s a proactive intelligence layer that connects information across your phone. It anticipates what you need before you ask.

You call an airline to change your flight. When the call connects, Magic Cue shows your flight number and confirmation code on screen. While on hold, you don’t need to dig through your inbox.

When your friend texts asking for the Airbnb address for the weekend. As you start typing, Magic Cue finds the confirmation email, extracts the address, and offers it as a one-tap suggestion, ready to send.

Your phone notices what you’re doing, predicts what you’ll need next, and acts. Like any AI and machine learning algorithm, Magic Cue should give you more frequent and accurate results as you use your phone.

However, hands-on testing will be necessary to assess its efficacy, as Google notes that some results may be inaccurate.

Tensor G5 powers Magic Cue on the Pixel 10 series

So, how does it all work? It comes from the Tensor G5 chip and Google’s on-device AI approach. For years, AI assistants have relied on the cloud.

Ask a question, and your phone sends it to a data center, which processes it and returns an answer. It’s powerful but slow. It needs an internet connection and sends your data off the device.

Tensor G5 runs Google’s advanced AI models, like the Gemini Nano, directly on the device. This on-device approach has three benefits.

First, it’s fast. Suggestions appear instantly because no data makes a round trip to the cloud.

Second, it’s reliable. Magic Cue works on a plane or underground with no signal.

Third, it’s private. Because analysis happens on Tensor G5, your sensitive data — conversations, flight details, calendar — stays on your phone. It’s not sent to Google’s servers or used to train models.

You remain in control. A simple settings panel lets you choose what Magic Cue can access. You can turn it on or off, or grant permission to see your calendar but not your messages.

It’s nice that Google follows a playbook similar to Apple Intelligence and treats trust as a requirement.

Where Magic Cue works at launch and where it could go next

At launch with the Pixel 10 series, Magic Cue works across a range of Google apps, including Gmail, Calendar, Screenshots, Messages, and more.

As it matures, it will likely integrate with more Google or third-party apps. I’m looking forward to seeing what’s possible.

Imagine leaving the office and seeing your Google Maps flag the commute home.

Magic Cue can prompt your Google Home routine, adjusting the thermostat, turning on the lights, and starting your favorite playlist before you arrive.

On the road, a quick text from a partner asking for groceries wouldn’t mean switching between apps.

Magic Cue could recognize the request, check your route in Google Maps, and suggest a one-tap detour to the nearest store.

Even in smaller moments, like reaching the train station, it could surface your transit pass from Google Wallet.

The best Google features are often the quietest

The real benefit isn’t saved minutes but reduced mental load. Those small, frustrating searches are finally over.

That’s why I appreciate Google so much. Its best features are often quiet, working in the background without fanfare.

Don’t get me wrong, I enjoy Gemini, and large language models are impressive in their own way.

But this is what the future of AI should look like, and it makes my relationship with technology feel more human.