2028: Apple’s Most Expensive Product Ever Could Be Fueled by AI

2028: Apple's Most Expensive Product Ever Could Be Fueled by AI

I stood in an Apple Store and watched a price tag change while a line of customers kept scrolling on their phones. The number blinked higher and higher until it no longer felt like tech pricing but like an act of arithmetic violence. That moment made one thing clear: something bigger than speed or thinness is rewriting the rules.

I’ve followed Apple’s chip story for years, and you should listen to what’s happening next if you care about buying a desktop Mac without fainting at checkout. You and I both like fast machines, long battery life and pretty graphics—but the next chapter is being written for a different audience.

I saw a Mac Studio’s sticker jump during a quiet retail afternoon

Mark Gurman at Bloomberg says Apple is skipping the usual M6 Pro/Max/Ultra rollout and accelerating the M7. That’s not just a timeline tweak. It’s a change in what Apple prizes when it designs silicon. Where chip roadmaps once chased raw GHz, thinness and battery life, a new priority—AI—now dictates cadence and capacity.

When will Apple release M7 Ultra?

According to Gurman’s sources, the M7 chips start shipping early next year, M7 Pro and M7 Max arrive at the end of 2027, and the M7 Ultra desktop-class machines land in 2028. Bloomberg and MacRumors have been tracking the early M7 MacBook Pro rumors; Apple finalized M7 work just six months after M6 was signed off. That’s a compression of cycles you rarely see in this business.

I watched a spec sheet that used to be sensible fill up with impossible numbers

Gurman reports the M7 Ultra could support up to 1.5 terabytes of RAM—about double what the M5 Ultra was supposed to target. If that sounds like an enterprise box, it’s because it is. Apple appears to be aiming at machines that look more like data-center siblings than consumer laptops.

How much will M7 Ultra cost?

Let’s be blunt: the price will not be small. Apple has already pushed retail tags. The MacBook Neo’s base jumped from $600 (€552) to $700 (€644). Apple raised the base Mac Studio by $500 (€460) to $2,500 (€2,300). The 96GB Mac Studio price climbed by $1,300 (€1,196) to $5,299 (€4,875). Now imagine that multiplied by memory configurations, AI accelerators and scarce parts. That’s how you get to real-estate-level pricing.

I remember the last time 1.5TB of RAM existed on an Apple machine

The only precedent is a 2019 Mac Pro option where 1.5TB of RAM alone cost $25,000 (€23,000). Back then a maxed Mac Pro could hit $53,000 (€48,760). Prices like that were rare and absurd—until they felt like a possible future again.

Apple’s target for the M7 Ultra, per reports, is to approach the class of dedicated AI accelerators such as Nvidia’s Blackwell. Those accelerators carry enterprise price tags: the cheapest Blackwell I can find on Newegg right now is $12,499.99 (€11,500). Add that to premium RAM, a custom Apple silicon premium, and supply-chain premium for scarce memory, and you’re in a territory where buying a machine might require financing the house—literally like taking out a second mortgage on your house.

There are forces at work beyond Apple’s internal choices. Global memory shortages have driven component prices up, and vendors from Samsung to Micron are rationing supply. That scarcity is a lever that pushes retail prices higher, and it’s why a high-memory desktop in 2028 could feel less like an upgrade and more like a capital investment.

I checked the market signals on Newegg, MacRumors and PCMag

Benchmarks and retailer listings are already telegraphing where margins will go. MacRumors, Bloomberg and Gurman’s reporting point the narrative; Newegg shows the raw market price for accelerators; PCMag and CNET documented the last Mac Pro sticker shock. For buyers, this is where product desire collides with economic reality.

Will the M7 Ultra be worth it for creative pros or developers?

If you run servers, train models, or edit 8K footage constantly, there’s a defensible case for absolute horsepower in a single machine. For most professionals, though, the math will be ugly: a machine that approaches the cost of small commercial equipment will need to be justified by workflow gains that are quantifiable and recurring.

I don’t want to be alarmist. I also don’t want you to be surprised. Apple’s pivot toward on-device AI performance—championed across Bloomberg and by industry chatter about Nvidia Blackwell—reshuffles who can afford top-tier machines and why. For consumers it looks like fewer incremental upgrades and more a leap into a new price band.

Think of the M7 Ultra as a luxury yacht in a harbor full of fishing boats: beautiful and capable, but priced for a different buyer. The question for you is whether the specific benefits of local AI acceleration will ever justify a price that could eclipse your car or even your mortgage payment—so what will your decision be when the sticker arrives?