Forget Apple. Amazon just made AI a lot more expensive.

Amazon has recently announced significant price increases for its AI cloud offerings, highlighting the impact of ongoing memory chip shortages on technology costs. The latest adjustments from Amazon Web Services (AWS) will see hourly rates for its EC2 Capacity Blocks for Machine Learning rise by approximately 20% starting in July. This follows a prior increase of around 15% earlier this year in January. AWS stated that the reservation prices for EC2 Capacity Blocks are subject to periodic updates based on market supply and demand. As of now, Amazon has not provided additional comments regarding the price adjustments. The trend of rising prices is not isolated to Amazon. Other major players in the tech industry, including Apple and Xbox, have also raised prices due to escalating memory chip costs. Notably, Elon Musk has voiced concerns regarding the unprecedented price hikes in memory components. The implications of AWS's price increase are far-reaching, as it not only affects the cost of cloud services but also has the potential to impact millions of developers and the software services reliant on AWS. The cumulative price hikes indicate a troubling shift within the tech industry, where physical constraints are increasingly limiting AI advancements, overshadowing the previously dominant concerns about software availability. The shortage of high-bandwidth memory, essential for advanced AI chips, poses a significant challenge for cloud service providers. According to Peter Berezin, chief economist at BCA Research, the limitations in memory production directly affect GPU availability, which in turn restricts the construction of new data centers. This scenario enables cloud providers to transfer higher infrastructure costs to their customers, as options for accessing GPU capacity remain scarce. Moreover, the same memory shortages that are inflating AI cloud service prices are also boosting the fortunes of memory chip manufacturers like Micron and SK Hynix, reflecting expectations that demand driven by AI will sustain high prices and a tight market for years to come.