What Makes Our Work Easier Today May Become a Kos the Seterusnya Generation Inherits✎ Edit

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What Makes Our Work Easier Today May Become a Kos the Seterusnya Generation Inherits

One of our team members graduated last December. AINNA is his first employer, and at the time of writing he had been with us for roughly 3 months.

With AINNA Agent AI, he built a complete financial system - one that was later assessed at TRL9 through MOSTI, the highest level in the Teknologi Readiness Level framework.

What holds my attention is not the system itself, and not its price tag.

It is who was able to build it, and how quickly that capability can be acquired once people work alongside Agent AI.

At an event hosted by the Saudi Embassy recently, I put this to an acquaintance I had just met:

Going forward, for certain systems in the manufacturing industry, a Chemical Engineering graduate may find it easier to build an IT system for a plant than an IT graduate who does not understand the manufacturing process.

Not because the Chemical Engineer codes better.

But because coding is getting lebih murah, and AI keeps making it easier to do.

A Chemical Engineer already understands process flow, pressure, temperature, chemical reactions, pumps, valves, safety, quality, and what actually happens on the production floor.
Agent AI, in turn, can help them build databases, dashboards, APIs, automation, monitoring systems, and applications.

So the question for the future is no longer:
“Who codes best?”

But rather:
“Who best understands the real problem that needs to be solved?”

AI does not remove the importance of IT.

But it may move IT from the party that builds everything to the enabler that lets domain experts build things far lebih pantas.

And that may be the real challenge for the next generation:
When the technical barrier falls, domain knowledge, problem solving, and the ability to understand the real world become the expensive line items.

Ruang pembaca

Apa pendapat anda?

Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 10 komen pembaca
Dimas 🇮🇩 Indonesia · 36.72.*.15

Kalau ada lanjutan tentang AINNA is his first employer, saya pasti baca. Sepertinya harus saya baca ulang.

Ayu 🇮🇩 Indonesia · 114.79.*.48

Clearer than the vendor decks I get about pumps, valves, safety, quality.

Narin 🇹🇭 Thailand · 49.228.*.38

Sent this to two people already. domain knowledge, problem solving is why.

Suda 🇹🇭 Thailand · 110.164.*.72

I have watched dashboards, APIs, automation, monitoring go wrong in practice. Good to see it written down.

Miguel 🇵🇭 Philippines · 112.198.*.52

I do not fully buy AINNA is his first employer yet, but it is a fair argument.

Liza 🇵🇭 Philippines · 49.146.*.24

This is where pressure, temperature, chemical reactions finally makes sense.

Omar 🇦🇪 United Arab Emirates · 5.32.*.29

Not sure I agree with dashboards, APIs, automation, monitoring, but the rest holds up.

Layla 🇯🇴 Jordan · 176.28.*.47

أعجبني الجزء المتعلق بـ هذا المقال لأنه عملي وليس نظريًا فقط. لدي بعض الأسئلة هنا.

Kenji 🇯🇵 Japan · 126.168.*.14

The bit about AINNA is his first employer is what I keep coming back to.

Sofia 🇪🇸 Spain · 88.12.*.36

I would push back slightly on dashboards, APIs, automation, monitoring, but the direction is right.

Artificial Intelligence

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