Tech News

Do You Need a New Phone for AI Features? The Hardware Requirements, Explained

The chips, memory and storage AI features demand, where Apple, Samsung and Google draw their cut-off lines, the app workaround, and a three-test framework before you upgrade.

Share f 𝕏 WA
An older smartphone sitting dim beside a new smartphone glowing with AI light patterns, representing upgrading for AI features

Here is the uncomfortable arithmetic of the AI-phone era: the features are free, and the ticket to use them is a new phone. Apple Intelligence costs nothing per month — unless your iPhone is a standard iPhone 15, in which case it costs whatever a newer iPhone costs. Samsung and Google draw their own lines through their own line-ups. So the question millions of people are quietly asking — “do I need a new phone for this?” — deserves a straight answer grounded in what the makers actually require. This guide explains the hardware gates (chip, memory, storage), lists where each maker draws the line, and ends with a decision framework, because “your phone is excluded” and “you should upgrade” are very different statements. Primary sources: Apple Support’s device list, Samsung’s Galaxy AI guide and Google’s Pixel pages.

Highlights

  • The three gates: a recent chip with a neural engine, enough RAM for on-device models, and free storage — up to 8 GB on most Apple devices, 14 GB on the newest.
  • Apple’s line: iPhone 15 Pro and Pro Max, iPhone 16 models and later, iPhone Air. The standard iPhone 15 misses out by one chip generation.
  • Samsung and Google: recent flagship generations and foldables qualify, with feature sets that shrink as models age.
  • The workaround: cloud AI apps (ChatGPT, Gemini, Claude) run on almost any phone — the gate only fences off the built-in features.
  • The verdict framework: upgrade for the phone, not the AI — unless one built-in feature solves a weekly problem for you.

Why AI features need new hardware at all

The gate is not pure marketing; it is physics wearing a price tag. Running an AI model on the phone — the design all three makers now centre — requires three resources older phones lack. First, a neural accelerator: modern chips carry dedicated silicon for the matrix mathematics AI models run on, and each generation multiplies its throughput, which is why Apple ties Apple Intelligence to the A17 Pro and later, and Google ties its fullest Gemini Nano work to recent Tensor chips. Second, memory: an on-device model must live in RAM alongside everything else the phone is doing, and phones built with modest memory cannot hold a capable model without evicting the rest of your day. Third, storage for the model itself — Apple’s support pages put a number on it: up to 8 GB of device storage on most supported devices, and up to 14 GB on the newest models running the larger on-device model, with usage temporarily higher during updates. Cloud features need none of this, which is exactly why the older Assistant and every chatbot app run happily on a five-year-old phone — the gate exists only where the intelligence moved onto the device, for the privacy and speed reasons our on-device versus cloud guide explains.

Extreme close-up of a glowing smartphone processor chip on a circuit board, representing the hardware AI features require
Illustration (AI-generated)

Where each maker draws the line

Apple draws the brightest line. Per Apple Support, the current generation of Apple Intelligence runs on iPhone 15 Pro and 15 Pro Max, iPhone 16 models or later, and iPhone Air — plus iPads and Macs with M-series chips. The standard iPhone 15 and 15 Plus, sold as current phones not long ago, are out, as is everything older; add the conditions that device and Siri languages must match and be supported, and that devices purchased in mainland China are excluded entirely. Samsung casts a wider net with a fuzzier edge: Galaxy AI spans the recent Galaxy S generations and the latest foldables highlighted in Samsung’s guide, Samsung has pushed many features back to older flagships by update, and the exact suite shrinks or grows by model, region and carrier. Google ties its showcase to recent Pixels: Gemini itself is broadly available as an app and assistant across Android, but the integrated Pixel experiences — Magic Cue on the newest generation, the fullest Gemini Nano features, the camera suite’s latest tricks — arrive per generation and do not all flow backwards. The pattern across all three: the assistant is for everyone; the integrated, on-device, proactive layer is for recent flagships. Our pillar comparison maps what each tier actually receives.

The workaround nobody advertises

Before pricing a new phone, note what the gate does not fence off. The cloud assistants — the ChatGPT, Gemini and Claude apps — run on hardware years older than any of these cut-offs, and between them they cover a large share of what the built-in systems do: drafting, summarising, answering, analysing photos you hand them, even live conversation. What they cannot do is the integration layer: summarising your notifications unprompted, editing photos inside your library with one tap, screening your calls, or acting across your apps with personal context. So the honest question is not “do I want AI on my phone?” — you can have that today, free, on the phone in your pocket. It is “do I want AI of my phone — woven into its calls, photos and messages?” That is the only thing the new hardware buys, and for some people (the Pixel’s call suite alone has ended people’s spam-call misery) it is worth a great deal. For others it is a garnish on a phone that already works. Our guides to Apple Intelligence, Galaxy AI and Gemini on Pixel detail exactly what that integration layer contains on each platform.

Person in a phone shop comparing two smartphones in their hands, representing deciding whether to upgrade
Illustration (AI-generated)

A decision framework that respects your wallet

Run three tests. The weekly-problem test: name one built-in feature that would solve a problem you actually have every week — call translation for work, scam screening for an elderly parent’s phone, note summaries for lectures. No named feature, no upgrade; curiosity is not a use case. The remaining-life test: if your current phone is otherwise healthy — battery, screen, storage, security updates — its remaining years are an asset you would be discarding for a software layer; the nearer it is to genuine end-of-life, the more the AI features ride free on a purchase you needed anyway. The tier test: if you do upgrade, check the specific model against the maker’s list before buying — mid-range phones in a flagship’s clothing exist in every line-up, and last year’s standard model can miss the gate that last year’s Pro clears (the iPhone 15 versus 15 Pro lesson). Fail all three tests and the correct purchase is no purchase: install the assistant apps, revisit next cycle. Pass them, and buy the phone for the phone — battery, camera, years of updates — with AI as the bonus it should be.

What this means

The hardware gate is the AI era’s first great sorting mechanism, and it deserves to be seen clearly. For a decade, a three-year-old phone ran essentially the same software as a new one; the upgrade pitch was cameras and cosmetics. On-device AI ends that truce — capability now genuinely expires, because last cycle’s chip cannot hold this cycle’s model. For US readers, the comparison that matters is not between brands but between budgets: the families who replace phones on a two-year carrier rhythm will live inside the AI layer without thinking about it, while the growing number who keep phones four or five years — the financially rational choice yesterday — will watch features route around them. Makers know exactly what that pressure does to upgrade cycles, which is why the gate sits where the marketing needs it as much as where the physics does. None of this makes the features a scam; the silicon requirements are real. It makes the decision a financial one that deserves the framework above rather than keynote fever. Buy the phone when the phone is done. Let the AI be the reason you enjoy the new one — not the reason you bought it early.

A last, unfashionable consideration belongs in the calculation: the phone you already own is usually the most sustainable device available to you — it exists, it is paid for, and its remaining update life is a sunk asset. The industry’s new capability expiry is designed to make that asset feel obsolete before it is, and the honest antidote is the weekly-problem test applied without sentimentality. Most people, most cycles, will fail that test — and should wear the failure proudly, assistant apps installed, wallet intact. The minority who pass it get something real: features that remove weekly friction are among the few technology purchases that pay for themselves in time. Either way, the decision is now yours in a way the keynote does not intend — because you know where the gate is, what it actually fences off, and what walks around it for free.

Bottom line

For most people: not yet. Your current phone’s chip decides which AI you get, and the honest upgrade trigger is a feature you will use every week — not a launch event. Let the early adopters pay the tuition.

Read Next

Sources

Ashbeel Azhar

Founder & Editor — Titans Infos

Ashbeel Azhar is the Founder and Editor of Titans Infos. He leads the site's coverage of artificial intelligence, consumer technology, privacy & security and tech business, and is responsible for its editorial standards, including fact-checking, sourcing and corrections.