A few months ago, I began spending serious hands-on time with AI-assisted software development.
My CEO take?
Earlier, average programmers produced average code at average speed.
Now, the risk is different.
It is possible for average programmers to produce bad code at high speed.
This is new.
And it changes the problem.
One of my first realizations was this:
- AI does not remove the need for clear thinking.
- It punishes unclear thinking faster.
- If the problem is unclear, AI helps you build the wrong solution faster.
- If the architecture is weak, AI helps you multiply technical debt faster.
- If the developer lacks judgment, AI makes that lack of judgment visible faster.
The people who benefit most from AI may not be those who simply know the tools.
They may be the ones who can think clearly enough to direct the tools.
Speed is no longer the rare resource.
Clarity is.
In the AI era, the real advantage may not come from producing more code faster. It may come from knowing what should be built, why it should be built, how it should be designed, and when AI output should be accepted, corrected, or rejected.
AI can amplify clarity.
But it can also amplify confusion.
That is why clear thinking, systems thinking, domain understanding, architecture judgment, and ownership become even more important when AI enters software development.
The question for leaders is no longer only:
“How fast can we build?”
The more important question is:
“Are we clear enough to build the right thing, in the right way, with the right level of human judgment?”
About the Author
Bhagath Singh Karunakaran is an entrepreneur, systems thinker, and deep-tech practitioner with over two decades of experience across software, IoT, Industry 4.0, and AI-led business transformation. He is the founder of i45G, where he works with SMEs, institutions, and leaders on practical technology adoption, systems thinking, workforce readiness, and AI-enabled business transformation.
Through his writing and consulting, he focuses on helping business owners and decision-makers move beyond hype and adopt technology with clarity, ownership, and measurable value.