Artificial Intelligence

Younger innovators, autonomous agents: New architects of AI-native enterprises

Asia / India0 views1 min
Younger innovators, autonomous agents: New architects of AI-native enterprises

At the ETCIO Annual Conclave 2026, Aashish Kshetry (Asian Paints) and Neetan Chopra (IndiGo) argued that AI-native enterprises will rely on reverse mentoring, flatter learning systems, and autonomous AI-led business units to drive innovation. Chopra highlighted IndiGo’s AI-led direct channel, Skai, and autonomous agents for product bundling, predicting a shift toward fully AI-managed business units within enterprises.

Leaders in AI transformation at the ETCIO Annual Conclave 2026 emphasized that the next wave of enterprise innovation will be shaped by AI-native workforces, reverse mentoring, and autonomous AI-led operations. Aashish Kshetry, CIO and VP of IT at Asian Paints, stated that AI is becoming the operating system for next-generation enterprises, requiring legacy organizations to bridge gaps between senior leaders and younger employees fluent in AI tools. He stressed the importance of reverse mentoring to accelerate AI adoption horizontally across teams rather than vertically through traditional hierarchies. Neetan Chopra, CDIO at IndiGo, highlighted the rise of autonomous enterprise units driven by AI agents. He cited IndiGo’s AI-powered direct channel, Skai, which enables conversational ticket bookings, and autonomous systems that create, price, and sell product bundles within business guardrails. Chopra predicted that within months, entire business units could be managed by AI agents, shifting operations from productivity tools to full business execution engines. The session concluded that winning enterprises will prioritize AI-native cultures, empower younger talent, and adopt flatter learning systems. Kshetry noted that organizations with the shortest distance between young innovators and senior decision-makers will lead the next AI frontier. Chopra’s vision aligns with IndiGo’s early experiments, where AI agents are already demonstrating autonomous decision-making in customer-facing and internal operations. Experts agreed that the future of AI in enterprises extends beyond copilots and workflow automation. The focus must shift toward embedding AI into core business models, fostering collaboration between generations, and preparing for autonomous execution frameworks. These changes will redefine how enterprises innovate, learn, and execute strategies in an AI-driven economy.

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