OpenAI CEO Sam Altman has expressed concerns regarding the current global shortage of RAM, suggesting that the way it is utilised in personal computers is inefficient. He argues that large amounts of memory in individual devices often remain underutilised, which he believes is not an optimal use of the limited supply available worldwide.

Altman shared these views during his appearance on the Cheeky Pint podcast, where he discussed the implications of supply chain constraints and the increasing demand for memory resources. During the conversation, Altman addressed the growing trend of running artificial intelligence models locally on personal devices instead of relying on cloud services.

He questioned the rationale behind this approach, especially in light of the ongoing RAM shortage. He noted that while many users desire local inference—running AI models directly on their computers—this practice may not be the most efficient use of available memory.

Utilisation of Resources in Cloud Data Centres

Altman’s argument centres on the concept of resource utilisation. He pointed out that personal computers typically have significant amounts of RAM, such as 16GB or 32GB, but this memory is often not fully utilised throughout the day. In contrast, cloud data centres can pool resources, allowing for dynamic allocation to various users and workloads based on demand.

This flexibility, according to Altman, is crucial in a time when memory supplies are limited. He emphasised the importance of maximising utilisation in cloud environments to address the current supply constraints. Altman’s insights come at a time when AI companies are actively expanding their data centre capacities and competing for available memory chips.

OpenAI has made substantial commitments to infrastructure development, including partnerships with major manufacturers like Samsung and SK hynix to boost advanced memory production. In October 2025, OpenAI announced a significant initiative called Stargate, aiming for a production capacity of up to 900,000 DRAM wafer starts per month. This ambitious plan reflects the company’s commitment to securing the necessary resources to support its growing AI operations.

Impact on Consumer Electronics

The ramifications of the RAM shortage are already being felt across the consumer electronics sector. Market research firm TrendForce has projected that conventional DRAM contract prices could rise by 10 to 15 per cent in the fourth quarter of 2026. Additionally, IDC has warned that the memory shortage may lead to a 16.7 per cent decline in global smartphone shipments this year.

Meanwhile, average selling prices are expected to increase by 27.6 per cent, reaching approximately $581 (around Rs 55,144). However, the discussion surrounding local AI processing is multifaceted. Advocates for running AI models on personal computers argue that it offers users enhanced privacy, offline access, and greater control over their data.

Furthermore, it is important to note that memory in consumer PCs cannot simply be transferred to AI servers, as different workloads necessitate various types of memory. This complexity adds another layer to the ongoing debate about the most effective use of RAM in the current landscape.

As the demand for memory continues to rise, the conversation around its allocation and usage will likely remain a critical topic in the technology sector. Altman’s comments serve as a reminder of the need for efficient resource management in an increasingly data-driven world.

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