As the DRAM crises continues, Apple has now announced that it is cutting back manufacturing of its iPhone 17 due to memory shortages. What exactly has Apple said, and why does this shortage support an argument for government intervention over the AI industry?
Apple Announces iPhone 17 Output Cut Due to DRAM Shortage
Recently, reports have suggested that Apple has reduced iPhone 17 production by around one-third due to increasing DRAM shortages and rising memory costs.
According to sources within Apple’s supply chain, the company is still evaluating how rising memory prices will affect customer demand. As a result, the iPhone 17 may remain in production for longer than originally planned, especially as memory shortages are also expected to impact the development and release schedule of the iPhone 18.
To reduce its reliance on existing suppliers, Apple has reportedly been exploring additional DRAM manufacturers, including China’s ChangXin Memory Technologies (CXMT). However, CXMT remains behind major memory suppliers such as Samsung and SK Hynix, meaning Apple is unlikely to use its memory solutions across global iPhone models in the near future.
While CXMT produces DDR4 and LPDDR4 memory products, these technologies are not widely used outside China, and Apple would need to conduct extensive testing to ensure reliability, performance, and long-term support. Furthermore, future devices such as the iPhone 18 Pro are expected to use advanced memory packaging technologies such as WMCM, which are currently supplied primarily by established manufacturers including Samsung and SK Hynix.
Does This Memory Shortage Support Government Intervention Over AI?
At heart, I am a capitalist, and I believe that markets should be free to operate as they need. However, a capitalist market only works when customers have economic freedom, competition exists, and monopolies are prevented.
Looking at the current memory market, it is becoming increasingly difficult to describe the situation as one that is freet. Instead, what appears to be happening is that AI companies are consuming a disproportionate share of semiconductor capacity, effectively cornering critical resources for their own development.
Memory price increases caused by higher demand are not inherently bad (in fact, increased demand should lead to higher prices, which is a normal for a healthy economy).
However, the current AI-driven memory shortage appears different. The scale of investment into AI infrastructure means that a small number of companies are competing for enormous quantities of specialised hardware, leaving other industries struggling to access the components they need.
This creates a situation where consumer electronics manufacturers, smaller technology companies, and ordinary users are all affected by decisions made within the AI sector. Engineers trying to develop new products may find that essential memory components are becoming more expensive or simply unavailable.
The situation becomes even more concerning when considering the possibility of an AI market correction in the coming years. Much like the financial crisis of 2008, the AI industry has seen increasingly larger valuations based on expectations of future growth, despite many companies having limited or unclear paths towards profitability.
Companies such as OpenAI have received enormous investment based on the promise of future AI capabilities, but many businesses across the industry are still struggling to demonstrate sustainable profits. If investor confidence falls, the consequences could spread beyond AI companies themselves. The biggest risk is that memory manufacturers may also become vulnerable. Companies are investing heavily in production capacity for AI-specific products such as HBM memory, but if AI demand slows significantly, they could be left with expensive manufacturing facilities producing components that have limited use outside of AI servers.
Ultimately, the concern is not that AI companies are using memory; that is a natural consequence of technological progress. The concern is that one rapidly expanding industry could distort the wider semiconductor market, making it harder for other sectors to innovate.
If AI is truly intended to improve society and make technology more accessible, then ensuring a healthy semiconductor supply chain should be a priority. Otherwise, the world may find itself in a situation where the technology designed to improve the future makes existing technology more expensive and harder to develop.
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