The next AI race won’t be about bigger models but better economics
By Vinay Chhabra, Co-Founder & MD, AceCloud
For years, the AI race has been framed as a contest of scale: larger models, more parameters, and more compute. That phase mattered. It expanded what artificial intelligence could do and accelerated innovation across industries. I am not sure that is where the real competition is anymore.
AI has moved beyond experimentation to become a core part of how enterprises build products, engage customers, and make decisions. As organisations expand AI adoption across functions such as customer service, software development, fraud detection, and knowledge management, the focus is shifting from model performance to business outcomes.
The economics of AI are being rewritten
The early economics of AI were shaped by the cost of building frontier models. Enterprise adoption introduces a more important equation: the cost of running AI every day, at scale. Every chatbot response, developer recommendation, document search and fraud alert carries...
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