Technology

WD CEO on AI's Impact on Storage Demand

Western Digital CEO Irving Tan discusses how AI is driving demand for storage, with the company focusing on scaling HDD technology to meet these needs.

Daniel Singer

By Daniel Singer, Editor, StartupHub.ai

3 min read

WD CEO on AI's Impact on Storage Demand
Credit: Bloomberg Technology
Contents(4)

Irving Tan, CEO of Western Digital, recently discussed the profound impact of artificial intelligence on the demand for data storage, particularly for hard disk drives (HDDs). Speaking on Bloomberg Tech, Tan highlighted how the burgeoning AI sector is creating a significant need for robust and scalable storage solutions, positioning WD to capitalize on this trend.

The full discussion can be found on Bloomberg Technology's YouTube channel.

WD CEO on AI's Impact on Storage Demand
Anthropic Nears $20B Run Rate, Apple to Sell $599 Laptop | Bloomberg Tech 3/4/2026, from Bloomberg Technology

The AI Data Storage Nexus

Tan explained that the massive computational demands of AI, especially for training complex models and running inference workloads, require the storage of vast amounts of data. This data generation fuels a cyclical growth where increased AI capabilities lead to more data, which in turn necessitates more advanced and higher-capacity storage solutions. He drew an analogy to power generation, where the need for electricity drives the construction of power plants; similarly, the demand for AI compute drives the need for advanced storage infrastructure.

Western Digital's Strategic Focus

Western Digital is strategically focusing on enhancing its HDD technology to meet the specific needs of the AI market. Tan emphasized that companies are looking for storage solutions that offer not only high capacity but also reliability and cost-effectiveness. WD's strategy involves scaling its existing technologies and developing new ones to ensure they can deliver the required performance and capacity for AI workloads, from the processing units to the cloud.

Demand Driven by AI Growth

The company's projections indicate a substantial increase in the demand for storage over the next five years, driven by the growth of AI across various sectors. Tan noted that hyperscale data centers, which are the backbone of cloud computing and AI services, are a key customer base. These data centers require massive amounts of storage to handle the ever-increasing volumes of data generated by AI applications. He stated that WD is confident in its ability to meet these escalating demands by leveraging its technological advancements and manufacturing capabilities.

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The Role of HDDs in the AI Era

While solid-state drives (SSDs) offer speed, Tan pointed out that HDDs remain crucial for bulk data storage due to their cost-effectiveness and higher capacities. For the massive datasets required for AI training and ongoing operations, HDDs offer a more economical solution for storing petabytes of information. He highlighted that WD's strategy is not to replace SSDs but to complement them by providing the most efficient and cost-effective solutions for the vast majority of AI data storage needs.

Tan's insights underscore the symbiotic relationship between AI development and the storage industry. As AI models become more sophisticated and data generation continues to accelerate, the demand for reliable, high-capacity, and affordable storage solutions like those offered by Western Digital is expected to remain strong, positioning the company as a key player in the ongoing AI revolution.

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TopicsWestern DigitalAIStorageData CentersHard Disk DrivesIrving TanTechnology

Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

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