This powerful Gemini setting made my AI results way more personal and accurate


Gemini Personal Intelligence

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ZDNET’s key takeaways

  • Personal Intelligence makes Gemini responses more personal.
  • It pulls from Google apps, so no more manually adding context. 
  • You control which app data is used and can disable it anytime.

Every day, there’s a new AI feature or tool launching, and the most popular chatbots, including Google Gemini, are constantly upgrading. It gets a bit dizzying. But Gemini recently rolled out a feature I do consider worth trying. Called Personal Intelligence, it connects data from Gmail, Google Photos, Search history, and other Google apps to provide tailored responses.

So, instead of getting a generic result from Gemini after I enter a prompt, the response is personalized to me. What does that look like in practice? When searching for a product, I shouldn’t get the top picks. Results should reflect my past purchases and preferences. If device troubleshooting, I don’t need to remember the model, since Gemini should see my email receipt.

Also: I tested ChatGPT Plus vs. Gemini Pro to see which is better

Personal Intelligence essentially removes the need to repeatedly provide context, which is one of my biggest gripes with AI.

How to enable Personal Intelligence

What you’ll need: Personal Intelligence is available in the US and is now rolling out to free and paid Gemini users. It only works with personal Google accounts and requires connecting to Google services such as Gmail or Photos, since it relies on your personal data.

Make sure you’re signed in to your Google account, then go to Gemini on the web or mobile app, and click your profile to access settings. This is where Google tucked away the controls for its new Personal Intelligence feature.

Also: How to switch from ChatGPT to Gemini

Once you locate the Personal Intelligence section, open it. From there, you’ll see options for Gemini to remember your past chats, connect to the Google services you use most, and customize responses, such as forcing Gemini to use more bullet points instead of paragraphs. All changes apply across Gemini, even in Search’s AI Mode.


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1. Go to Personal Intelligence

Elyse Betters Picaro / ZDNET

In the Personal Intelligence menu, look for the Memory toggle and switch it on so Gemini remembers past chats.


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2. Enable Memory in Personal Intelligence

Elyse Betters Picaro / ZDNET

Open the Connect apps section under the Personal Intelligence menu. Here, you can toggle on Google Workspace so Gemini can access Gmail, Google Calendar, Google Docs, Google Drive. Below that, you can enable Google Photos, Google Search, YouTube, Google Home, and YouTube Music.

Also: I tried Personal Intelligence, and it was accurate (but unsettling)

There are also “other” apps, including Spotify, OpenStax (retrieves passages from openly licensed textbooks), and SynthID (verifies whether media was made by Google AI by detecting a watermark).


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Connect Google apps to Personal Intelligence

Elyse Betters Picaro / ZDNET

How to use Personal Intelligence

Now that Personal Intelligence is switched on, let’s go over how to actually use it. Because it’s rolling out across the Gemini site and app, Gemini in Chrome, and AI Mode in Search, I’ll walk through a few use cases and share my results using Gemini across each.

Shopping recommendations

I opened the Gemini app and entered a basic prompt: “I want to buy my kid some summer toys.”

I have a four-year-old daughter, but I purposely didn’t mention her age, gender, or where we live to see what Gemini would surface. (To be clear, I believe any age-appropriate toy can be used by a kid, regardless of gender, but I was curious what Gemini would do.)

Gemini immediately said, “Given that you’re looking for toys for your daughter,” and mentioned she’s four and exactly where we live. It suggested options for hot, humid summer days, including water tables and sprinklers, and showed a couple of purple, flowery picks. It also recommended a pink inflatable unicorn hopper and a 4-in-1 Minnie Mouse-themed sports center.

Also: How to shop with AI: 6 ways I find deals, price track, and let agents buy for me

I am looking to buy a water table, and, funny enough, my daughter got a hopper from her grandma last summer that she loved, but my dogs chewed it, so I had to toss it. I could fine-tune another prompt for more recommendations, but the benefit here is clear. I entered one prompt without adding extra details about who I’m shopping for, and Gemini correctly inferred what I might want.

I tried one more prompt: “Use colors and brands I prefer.” Gemini then said I often shop at Walmart and Amazon (guilty), so it focused on brands available there. This time, it showed a Little Tikes Bluey Beach Water Table, which it said matched my preference for blue and green shades. Bluey is my daughter’s favorite show, and I do avoid buying too many pink or purple toys.

I suspect Gemini used my search history, chats, or even email receipts to deduce what I’d like and make recommendations.

Shopping recommendations

Elyse Betters Picaro / ZDNET

Searching information

I wanted to test Personal Intelligence through Google Chrome next, so I decided to look up something about my specific vehicle to see if Gemini could identify what I drive without me saying and provide accurate information. I clicked the little Ask Gemini button in the top of my web browser and entered the following prompt into the chat sidebar: “I need new tires for my truck. What size?”

Gemini replied, “For your 2017 Ram 1500 Quad Cab,” and said it depends on the wheels installed and trim level. It gave two factory sizes and explained how to confirm by checking the tire information on the driver’s side door jamb or the tire sidewalls on my truck.

Also: I let Chrome’s AI agent shop, research, and email for me – here’s how it went

To be clear, I’d never enabled Memory or Personal Intelligence in Gemini until today, so it’s interesting how it could pull this together so quickly. I’m assuming it could’ve used my past Gemini chats or even data from other connected apps, such as images of the truck in my Google Photos or perhaps old Gmail messages from when I financed the vehicle years ago. Either way, it was instant.

Searching information

Elyse Betters Picaro / ZDNET

Plan travel and build an itinerary

Let’s switch over to Search’s AI Mode. I’m doing an island-hopping camping trip across the Thousand Islands between New York and Canada this summer. I already have an itinerary started in Google Docs, including details like boat rentals and park reservations. I just need to add some activities. Can Personal Intelligence help here, by suggesting things for me to do?

Also: I used these viral Gemini prompts to find the cheapest flight possible – here are the results

My prompt: “I need fun activities to do near where I’m camping this summer.”

I left out the location and exact dates, but sure enough, AI Mode said, “In the 1000 Islands region, summer 2026 is packed with waterfront festivals, live music, and unique island adventures.” It added, “Since you’ll be camping in July,” and recommended I see the local Independence Day fireworks and “legendary” Antique Boat Show, and take a ferry over to tour Boldt Castle.

Perfect. These are all activities I’d add to my itinerary.

(Pro tip: If you have Autobrowse enabled in Chrome, which I do, you can click the Ask Gemini button at the top of your browser and, without leaving your AI Mode tab, ask Gemini to add the activities it suggested to your itinerary doc or create a new one.)

Plan travel and build an itinerary

Elyse Betters Picaro / ZDNET

What else can Personal Intelligence do?

Since Personal Intelligence uses your Google apps data, the possibilities are endless. It can make suggestions based on patterns in your Google and YouTube searches, reading habits, photos, emails, calendar events, and documents in Drive. That means it can align your prompts with your interests and daily life without requiring you to add that context.

Also: Gemini vs. Copilot: There’s a clear winner

Gemini could suggest hobbies, local activities or events, and more. Even basic, everyday queries can benefit from Personal Intelligence, such as price comparisons, device troubleshooting, or looking up nearby retailers and restaurants. It’s a powerful, frictionless experience, since you don’t have to repeat yourself or write long, detailed prompts to get useful results.

What is Gemini Personal Intelligence?

Personal Intelligence is a new Gemini feature, now rolling out as of early 2026, that connects data from your Google apps to provide personalized responses instead of generic outputs. You must enable it in Gemini settings and connect apps such as Gmail and Photos. It works across the Gemini site and app, as well as Gemini in Chrome and Search’s AI Mode.

Who can use Personal Intelligence?

When Personal Intelligence first launched, it was exclusive to AI Pro and Ultra subscribers in the US. As of March 2026, free-tier users with personal Google accounts in the US can also try it. It’s not available to Workspace business, enterprise, or education users.

Is Personal Intelligence safe to try?

Since Personal Intelligence connects apps like Gmail and Photos, it’s understandable to have privacy concerns. But remember, it’s totally optional to enable, and you can choose which apps to connect or disconnect, and you can delete your data at any time.

Also: How to turn off Gemini in Gmail, Photos, Chrome, and more

Each time you switch on a toggle, you’re told your data is used to personalize your Gemini experience and improve Google services. Google says it does not train its models on private Gmail, Photos, or Drive content, but it does reference that data in real time to answer queries. It also uses encryption and Google’s certified security infrastructure to protect data during storage and transfer.

See Gemini’s privacy policy and support page to learn more.

Is Personal Intelligence safe to try?

Elyse Betters Picaro / ZDNET

Is Personal Intelligence worth enabling?

I find Personal Intelligence reduces the need to provide context and makes Gemini’s responses more personal and relevant. The trade-off, of course, is how much data you’re willing to share with Google. It depends on your comfort level.

Also: 5 reasons you should be more tight-lipped with your chatbot

While I enabled the feature to test it, I generally keep memory features off in the AI tools I use and am selective about the apps I connect, as I’m very privacy-conscious and often work with embargoed, sensitive data.


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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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