Apple plans to increase the RAM in standard iPhone 18 and iPhone 18e models from 8GB to 9GB to support Apple Intelligence within iOS 27. According to TF International Securities analyst Ming-Chi Kuo, this upgrade ensures that system-level AI tasks run smoothly without requiring users to upgrade to Pro models, which are expected to retain 12GB of RAM.
Why is Apple increasing RAM for the iPhone 18?
The transition to 9GB of RAM is driven by the increasing resource demands of Apple Intelligence. According to a report from Ming-Chi Kuo on X, the upcoming iPhone 18 and iPhone 18e, powered by the A20 chip, will utilize a new memory configuration. This setup will consist of 9GB of DRAM using six 1.5GB dies, an upgrade from the 8GB (four 2GB dies) used in current A19 models.
Kuo suggests this extra gigabyte is not intended to unlock entirely new features. Instead, the memory is meant to facilitate smoother multitasking as iOS 27 introduces tighter, system-wide integration of artificial intelligence. As AI processes move deeper into the operating system, the device must manage more background tasks to prevent performance lag.
Unlike many Android manufacturers that prioritize high RAM numbers for marketing, Apple typically scales memory specifically to match the requirements of its hardware-software integration.
iPhone 18 vs. Pro Models: RAM and Chipset Comparison
The projected memory increase appears to be a strategic move to bring the entry-level iPhone experience closer to the Pro tier. While standard models receive a modest bump, Apple’s high-end devices are expected to maintain a significant lead in memory capacity to handle more intensive AI workloads.
| Model Category | Expected RAM | Expected Chipset |
|---|---|---|
| iPhone 18 / 18e | 9GB | A20 |
| iPhone 18 Pro / Pro Max | 12GB | A20 Pro |
| iPhone plegable | 12GB | A20 Pro |
This distinction suggests Apple views 12GB as the threshold for high-end AI workloads. By equipping the Pro models and the rumored foldable iPhone with 12GB, the company ensures its flagship devices can handle the most demanding computational tasks without compromise.
How will the A20 chip impact AI performance?
The shift to the A20 chip coincides with the memory upgrade. The chip is designed to work in tandem with the expanded DRAM to manage the “system-level” AI integration mentioned by Kuo. This means AI won’t just be an app you open; it will be a constant presence in how the phone handles Siri, predictive text, and image processing.
If these supply chain checks prove accurate, the iPhone 18 will be one of the first base-model iPhones specifically optimized for a post-AI-integration era. The goal is stability. A modest increase in RAM helps ensure that running Apple Intelligence doesn’t force the device to close other important apps in the background.
When evaluating future smartphone upgrades, look at the chip-to-RAM ratio rather than just the total GB. As AI becomes more integrated, the efficiency of how the chip manages that memory becomes more important than the raw number.
The competition: Apple vs. Android RAM trends
The 9GB figure may look small compared to high-end Android devices that currently offer 16GB or even 24GB of RAM. However, industry analysts often point out that Apple’s vertical integration allows it to achieve similar multitasking efficiency with less physical memory. The iPhone 18 upgrade represents a targeted adjustment rather than a race to match Android’s specifications.
Frequently Asked Questions
Will the iPhone 18 support Apple Intelligence?
Yes, the hardware upgrades reported by Kuo are specifically intended to support the deeper integration of Apple Intelligence in iOS 27.
Why is 9GB better than 8GB for AI?
The extra gigabyte provides the necessary overhead to run system-level AI processes in the background without slowing down the user interface or closing other active apps.
Which iPhones will have 12GB of RAM?
The iPhone 18 Pro, iPhone 18 Pro Max, and the rumored foldable iPhone are all expected to feature 12GB of RAM.
What do you think about Apple’s approach to RAM? Will 9GB be enough for the next generation of AI? Let us know in the comments below or subscribe to our newsletter for the latest tech updates.
