Pricing won’t let Indian firms target the diversified uses that Big Tech is eyeing, Kompella added. “A model built for Indian languages, speech, translation and enterprise workflows can be smaller, more specialized and cheaper to serve than a general-purpose frontier model trying to be best-in-class across every global benchmark. A large part of the global AI cost base sits in dollar-denominated research talent, hyperscale cloud compute, and very large frontier-model training runs,” he said.
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