Shanghai Metals Market · 30 Sep, 17:21 · Artificial Intelligence briefing

During this year's Singapore Tech Week, SuperX, a full-stack AI infras

During Singapore Tech Week, SuperX announced the launch of its full-stack AI infrastructure platform.

25–40%salary premium for professionals with applied AI skills
11xgrowth in AI job adverts since 2019
66%of leaders won't hire without AI literacy
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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.

During Singapore Tech Week, SuperX announced the launch of its full-stack AI infrastructure platform. This development highlights the growing demand for comprehensive artificial intelligence solutions within the Asian technology sector. The platform aims to streamline AI deployment for enterprises, addressing key challenges in scalability and integration. Industry observers note this move signals a maturation of the AI market, shifting focus from experimental models to robust, production-ready systems. Professionals should monitor this trend as it reflects broader global shifts towards enterprise-grade AI adoption and infrastructure investment.

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)
20191x20201.4x20212x20222.9x20234.1x20246x20258.5x202611.4x
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.

This announcement signals a critical shift towards operationalising AI at scale. You must prioritise skills in cloud architecture and machine learning engineering to remain relevant. Traditional IT roles are evolving; you need to understand how to deploy and maintain full-stack AI systems. Focus on integrating AI into existing business workflows rather than just theoretical models. Upskill in data governance and infrastructure management immediately. Connect with peers in the fintech and logistics sectors, where such infrastructure is rapidly adopted. Review your current technical stack and identify gaps in AI deployment capabilities. Attend relevant industry workshops to understand practical implementation challenges. Your next step is to master the tools that bridge data science and production engineering, ensuring you can deliver tangible business value through AI infrastructure.

For this story, the fields that convert it into pay are Artificial Intelligence, Cloud Computing, 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%Cloud Computing+32%Data Science+27%AI Strategy+35%
Matched to this story

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Launch pricing shown against standard certificate value. The fee you see today is the fee you lock in.

This briefing is based on reporting by Shanghai Metals Market on 30 Sep, 17:21. Read the original coverage →

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