Seagate Study: AI Drives Data Value but Reveals Critical Storage Infrastructure Gaps

A new study from Seagate highlights that while 86% of organizations report measurable returns from AI investments, the rapid adoption of AI is placing unprecedented strain on data storage infrastructure. Research involving 2,700 technology decision-makers reveals that 99% expect AI to significantly increase storage requirements over the next three years. Despite this, only 38% of firms feel fully prepared, with 43% identifying storage limitations as a primary obstacle to AI deployment. Furthermore, sustainability has become a central concern, as 77% of organizations have delayed or modified growth plans due to environmental considerations, including power consumption and hardware lifespans. The findings suggest that simply scaling compute capacity is insufficient; businesses must prioritize strategic, sustainable storage architecture to support the full lifecycle of AI models, from training data to final outputs, as storage evolves from an administrative function into a critical strategic asset.