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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 Technology 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 cheaper, 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 faster.

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.