Bloomberg.com · 16 Oct, 00:54 · Artificial Intelligence briefing

Top Korea Tech Fund Favors Non-Memory Stocks in AI Value Chain

A leading Korean technology investment fund is shifting its portfolio focus away from traditional memory chip manufacturers.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

A leading Korean technology investment fund is shifting its portfolio focus away from traditional memory chip manufacturers. Instead, it is prioritising companies operating within the broader artificial intelligence value chain, particularly those producing non-memory semiconductors and related infrastructure. This strategic pivot reflects a growing investor belief that the next phase of AI growth lies in specialised hardware and processing capabilities rather than standard storage solutions. The move signals a broader industry trend where capital is flowing towards firms enabling AI deployment, suggesting that market dynamics are evolving beyond the initial hardware boom into more complex, integrated technological ecosystems.

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)
20191x20201.3x20212x20222.8x20234.1x20245.8x20258.3x202611.2x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

You should recognise that capital is flowing towards specialised AI infrastructure rather than generic memory storage. This shift elevates the value of skills in semiconductor design, embedded systems, and AI hardware integration. Professionals in engineering and data science must now understand the physical constraints and opportunities of non-memory chips. If you work in tech strategy or investment, you need to analyse how these hardware changes affect software performance and scalability. A smart professional would immediately upskill in AI system architecture or hardware-software co-design. Review your current project portfolio to identify where AI acceleration matters most. Network with engineers specialising in custom silicon or edge computing. By aligning your expertise with this emerging hardware focus, you position yourself at the forefront of the next wave of technological innovation, ensuring your career remains relevant as the industry moves beyond basic storage solutions.

For this story, the fields that convert it into pay are Artificial Intelligence, Engineering, Data Science and AI Strategy — 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%Data Science+27%AI Strategy+35%
Matched to this story

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This briefing is based on reporting by Bloomberg.com on 16 Oct, 00:54. Read the original coverage →

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