After the proliferation of AI adoption, enterprise India has started to ask whether its infrastructure is robust enough to survive the shift. With the country’s enterprise AI market expected to cross $71 Bn by 2030, boardroom mandates around AI are accelerating, cloud costs are spiralling, data pipelines are buckling under the weight of unstructured inputs, and CTOs are discovering that pilots that worked in isolation can collapse the moment they are pushed into production at scale.

Therefore, enterprises across sectors are moving beyond productivity tools into core product development and delivery processes, including coding copilots, automated testing, and AI-driven IT service management. 

As a result, the conversation and its implementation are now shifting from experimentation to predictability, governance and cost control.

To unpack this shift, India’s leading tech voices joined Inc42 and Oracle for CTO Dialogues, featuring a roundtable on ‘Building The Infrastructure Backbone For AI At Scale’, followed by a fireside chat and a session exploring where enterprise AI strategies often fall short.

The roundtable was moderated by Sameer Dhanrajani, CEO of 3AI and AIQRATE, and featured the following speakers:

The roundtable, moderated by Dhanrajani, addressed the harder question of how enterprises actually operationalise AI at scale, with six leaders spanning cloud, fintech, D2C, agritech, logistics and last-mile delivery.

Oracle India’s Vivek Gupta opened the conversation by arguing that enterprises chasing AI at scale are often solving for the wrong constraint. 

“AI at scale is not a GPU problem… It’s an engineering problem that needs to be solved,” said Gupta.

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