Nothing CEO: RAM costs are driving up smartphone prices

๐กRising RAM costs threaten the feasibility of running powerful local AI models on future mid-range smartphones.
โก 30-Second TL;DR
What Changed
RAM has become the most expensive component in modern smartphones
Why It Matters
For AI developers building on-device models, rising RAM costs may limit the memory headroom available for local LLM inference on future hardware. This could force a greater reliance on cloud-based processing or aggressive model quantization.
What To Do Next
Optimize your local model inference pipelines for lower memory usage to ensure your AI apps remain performant on upcoming hardware.
Key Points
- โขRAM has become the most expensive component in modern smartphones
- โขRising hardware costs are preventing price drops for consumer devices
- โขSupply chain economics are shifting, impacting future product pricing strategies
๐ง Deep Insight
Web-grounded analysis with 19 cited sources.
๐ Enhanced Key Takeaways
- โขThe surge in RAM costs is primarily driven by the explosive demand from AI data centers, which are absorbing global memory supply and outspending smartphone manufacturers for these critical components.
- โขMemory components now constitute a significantly larger portion of the Bill of Materials (BOM) for smartphones, particularly for budget devices, where it can account for over 40% of the total BOM in 2026.
- โขThe price increases are disproportionately impacting entry-level and mid-range smartphones, with potential retail price hikes of around $30 for low-end models and $150 to $200 for premium flagships.
- โขGlobal smartphone shipments are projected to experience significant declines in 2026, with forecasts ranging from an 8.4% drop by Gartner to a 14% decline by IDC, largely due to rising costs and consumers extending their device upgrade cycles.
- โขMemory prices, including LPDDR4 and LPDDR5X, have seen substantial increases, with phone-grade DDR4x chips reportedly quadrupling in price in 2025 and DRAM spot prices nearly tripling by Q4 2025.
๐ ๏ธ Technical Deep Dive
- Smartphone RAM primarily consists of LPDDR4 and LPDDR5X technologies.
- The manufacturing focus of major memory producers is shifting towards high-bandwidth memory (HBM) for AI servers and server-grade DDR5, leading to a constrained supply of LPDDR for mobile devices.
- The complexity of DRAM manufacturing is increasing, with some manufacturers adopting advanced EUV lithography, which contributes to higher production costs and requires substantial equipment investments.
- NVIDIA's strategy to integrate LPDDR memory into future AI systems, such as its Grace and Vera CPUs, is expected to further strain the LPDDR5X supply chain; for instance, a Grace CPU platform utilizes 480GB of LPDDR5X, compared to approximately 16GB in a premium smartphone.
- Nothing Phone (2) models feature 8GB or 12GB of RAM operating at 3200 MHz, while the Nothing Phone (4a) is equipped with 8GB/12GB of LPDDR4X RAM.
๐ฎ Future ImplicationsAI analysis grounded in cited sources
โณ Timeline
๐ Sources (19)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
- asiatechlens.com
- indianexpress.com
- gartner.com
- androidheadlines.com
- gadgethacks.com
- androidheadlines.com
- digitimes.com
- futunn.com
- accio.com
- techpowerup.com
- yolegroup.com
- semianalysis.com
- counterpointresearch.com
- procurementtactics.com
- tomshardware.com
- devicespecifications.com
- smartprix.com
- 91mobiles.com
- counterpointresearch.com
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Original source: Digital Trends โ


