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- Published on July 29, 2025
- In AI Features
Why This Engineer is Betting Against AI Agents
Mathematics, economics, and engineering principles to back his bet.
Image by Nalini Nirad
- By Ankush Das
Everyone seems to agree: 2025 will be the year AI agents finally take over. Autonomy is the new magic word.
Yet for one developer who has built over a dozen production-grade agent systems—from UI generation to DevOps automation—this narrative doesn’t add up. The problem, he argues, isn’t that agents don’t work. It’s that they don’t work like the industry thinks.
In an exclusive interview with AIM, Utkarsh Kanwat, engineer at ANZ, unpacked why he’s still bullish on AI, but deeply sceptical of fully autonomous agents. His reasons are supported by mathematics, economics, and traditional engineering principles.
The Numbers Just Don’t Work
At the centre of Kanwat’s argument is a brutal truth, multi-step AI workflows compound error exponentially. A system wi
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Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
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