Yahoo Finance · 13 Sep, 11:01 · Technology briefing

Seagate Technology Sees AI Storage Demand Fueling HAMR Growth and Margin Gains

Seagate Technology reports that surging artificial intelligence workloads are significantly driving demand for high-capacity storage solutions.

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The briefing

The story
in brief.

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Seagate Technology reports that surging artificial intelligence workloads are significantly driving demand for high-capacity storage solutions. This trend specifically benefits their Heat-Assisted Magnetic Recording (HAMR) technology, which enables denser data storage. Consequently, the company anticipates improved profit margins and sustained growth in this sector. The development underscores the critical infrastructure requirements supporting the broader AI boom, highlighting how hardware innovation remains essential for managing exponentially increasing data volumes generated by machine learning applications in enterprise environments.

Employer demand for Artificial Intelligence skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.3x20211.9x20222.7x20233.9x20245.7x20258.1x202610.9x
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This shift signals that AI careers extend far beyond software development. Hardware engineers and storage architects are becoming increasingly valuable as enterprises upgrade infrastructure to handle massive datasets. You should recognise that understanding the physical layer of data management is now a strategic differentiator. If you work in IT or engineering, investigate HAMR technologies and enterprise storage systems to future-proof your skill set. Professionals in procurement or supply chain management must also grasp these hardware trends to advise on cost-effective scaling. Do not overlook the intersection of hardware and AI strategy; positioning yourself as someone who understands both data density and AI workload requirements will make you indispensable to organisations navigating this infrastructure transformation.

For this story, the fields that convert it into pay are Artificial Intelligence, Engineering, Cloud Computing and Data Science — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Artificial Intelligence+22%Engineering+24%Cloud Computing+32%Data Science+27%
Matched to this story

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This briefing is based on reporting by Yahoo Finance on 13 Sep, 11:01. Read the original coverage →

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