Google DeepMind CEO Warns of AI 'Choke Point' Due to Memory Shortage

The memory shortage is having far-reaching consequences for the tech industry, and even Google isn’t immune. The company’s own research arm, Google DeepMind, is feeling the pinch due to a lack of available memory chips.

The issue lies in the supply chain, which is heavily constrained. According to Demis Hassabis, CEO of Google DeepMind, ‘the whole supply chain’ for memory chips is under strain. This means that companies are struggling to get their hands on the necessary components to power their AI systems.

Hassabis pointed out that even with its own Tensor Processing Units (TPUs), which it produces in-house and leases to external customers through its cloud, Google still has to navigate the competitive memory market. ‘It still comes down to a few suppliers of a few key components,’ he said.

The three main suppliers of memory chips are Samsung, Micron, and SK Hynix. These companies are struggling to meet demand from AI hyperscalers like Google without sacrificing their longtime electronics customers. The problem is further complicated by the fact that AI companies require a different type of memory chip than PC manufacturers do.

Large language model producers need high-bandwidth memory (HBM) chips, which are in short supply. This shortage has led to increased costs and prices for products across the industry. Companies like Google are having to get creative with their spending on AI infrastructure and chips, but it’s not clear whether this will be enough to meet demand.

Google itself is projecting capital expenditures of $175 billion to $185 billion for 2026. This significant investment in AI infrastructure and chips suggests that the company is taking steps to mitigate the effects of the memory shortage. However, even with its own resources, Google may not be able to escape the constraints imposed by the supply chain.

The issue has far-reaching implications for businesses looking to leverage AI tools for their operations. As Hassabis noted, ‘you need a lot of chips to be able to experiment on new ideas’ and drive innovation in the field. The memory shortage is creating an ‘AI choke point,’ where companies are struggling to access the necessary resources to power their research and development efforts.

The situation highlights the complexities of the tech industry’s supply chain and the challenges that come with scaling up AI systems. As demand for memory chips continues to outstrip supply, it remains to be seen whether the industry will find a way to address this issue or if companies like Google will have to adapt their strategies in response.