Google is turning the Pixel’s best features into a subscription trap


For years, some of big appeals of Google’s Pixel lineup were that the devices came with a clean version of Android, some exclusive, cutting-edge features, and generally solid hardware specs. These exclusive features—like the clever AI camera tricks and seamless integrations—were one of the biggest perks of choosing a Pixel over other Android devices. For a long time, even most older or cheaper models would eventually receive the best new tricks via software updates.

That is changing. We are seeing a trend where the most desirable features are no longer just a perk of owning the phone, and anyone who owns last year’s flagship or a budget model is going to be affected.

Two factors are creating barriers to Pixel features

AI features increasingly push you towards a perpetual subscription

Gemini Android app page curl. Credit: Joe Fedewa / How-To Geek

The most obvious paywall to new Pixel features is a literal paywall. When you purchase a flagship Pixel 10, it comes packaged with up to a year’s trial of Google AI Pro, which includes the best Gemini model, a few terabytes of cloud storage, and access to cutting-edge video generation tools. Of course, the trial then ends, and you’re stuck between losing features you’ve probably become habituated to using or paying $20 per month or $200 per year.

Despite how annoying it is, there is a bit of a practical argument to be made for that. Cloud-based AI has real costs, and many high-end AI features require expensive hardware. Many of these tools are optional extras. However, it still feels wrong when Google has long been known for its exceptional AI features that come with your Pixel.

Hardware limitations for AI are real

The other cost barrier occurs because of hardware limitations, which “force” you to buy a new phone if you want the latest and greatest features.

The most interesting local AI features are often restricted to the newest Tensor chips rather than backported. It isn’t a monthly subscription, but a hardware upgrade to the newest flagship device costs hundreds or even thousands of dollars.

Gemini Intelligence is a good example. It is rolling out exclusively to Pixel 10s and other flagship Android devices. It brings a whole range of new and interesting features to eligible devices, not the least of which is the ability to generate your own widgets using AI. The same trend with other flagship AI tools, like Magic Cue and Camera Coach, both of which were tied to the newest Tensor chips, left the owners of last year’s flagships out in the cold.

Pixel 10.

Brand

Google

SoC

Google Tensor G5

Display

6.3-inch Actua OLED, 20:9

RAM

12 GB RAM

Storage

128 GB / 256 GB

Battery

4970mAh

Looking to upgrade to a Pixel but not sure if you need all the bells and whistles of the more expensive models? You won’t be disappointed with the standard Pixel 10 model. Coming in striking colors, Gemini features, and seven years of updates, you can’t go wrong with this purchase.


If you distribute the cost of a new phone over the average lifespan of a phone, the monthly cost is as least as much as a streaming subscription. Of course, AI features aren’t the only thing you get when you upgrade your phone, but if you wouldn’t have upgraded otherwise, it is reasonable to include at least some of the cost of new hardware in the equation.

The cost barrier may not be worth it

Decide what you actually use before paying a dime

The Google AI Pro subscription pricing and feature comparison page.

I’ve occasionally been tempted to upgrade my Pixel 8 Pro to a 10 Pro to get access to the latest and greatest AI features, or to sign up for a Google AI Pro subscription. The marketing around the newest AI tools is pretty persuasive. However, the more I looked into it, the less I was convinced that they’re worth the cost.

Most of the photo editing tricks can be accomplished using Photoshop or even Canva’s Affinity, which is completely free. Those tools can also do a lot more; they’re just slightly out of the way. There are also third-party apps that can do many of the same things; you just have to look for them.


Pixel Now Playing


The 9 best Google Pixel exclusive features, ranked

Some Pixel exclusives are so good they’re a dealbreaker. Others just feel like Google experimenting with ideas.

Additionally, it is important to remember that AI is a rapidly evolving field. Both the software and hardware are going to change quickly between generations, and chasing the latest and great is going to be costly for the next several years.

You have to decide if the utility (which is questionable) of a new AI tool is worth the price of a brand-new phone.


The Pixel is becoming a phone as a service

The Pixel is slowly drifting away from being a piece of hardware with great software and toward becoming a gateway to a service, much like many other things in consumer tech.

Be sure if you’re going to drop $1000 on a new phone or sign up for a monthly subscription that you’re actually going to get your money’s worth.



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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