The rapid expansion of artificial intelligence has led to an unprecedented surge in digital data, challenging existing storage technologies. Traditional magnetic tape storage, which has been in use for around 50 years, is increasingly seen as inadequate for handling the growing volume of data generated by AI applications. In response, a UK startup has developed a low-energy holographic storage technology as a potential replacement. This innovation promises to offer more efficient archival solutions to manage AI's data explosion while consuming less energy. Meanwhile, Seagate has introduced 30-terabyte hard drives utilizing laser technology, aiming to revolutionize large-scale data storage even in limited physical spaces. These advancements highlight the urgent need for novel hardware solutions to address the bottlenecks in AI data storage and training processes.