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AI Agents Work, But Why Aren’t They Mainstream Yet?

Agentic systems differ from traditional bots by making goal-driven decisions instead of following fixed rules.
Image by Nalini Nirad
It might be inevitable to meet a person working in AI without mentioning AI agents, given how popular the technology is right now. However, they still remain outside the mainstream. AI agents appear more powerful and useful than chatbots, yet their real-world impact remains limited despite their prevalence. Even organisations seeing productivity improvements are not going all in. The hesitation isn't mainly about the worth of AI agents, but rather about the resources needed to develop and run them. Enterprises regard this as a complex engineering challenge, not a straightforward plug-and-play upgrade. Ashish Kumar, the chief data scientist at Indium, in an exclusive interview with AIM, says that the tech works, but the skill gap is real. Agentic AI needs more than prompts and APIs. I
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Picture of Ankush Das
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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