Analysts argue that AI adoption failures often stem from institutional and organizational constraints rather than technical shortcomings. India, which processes roughly 20 billion transactions a month and has deep digital public goods like Aadhaar, is highlighted as a proving ground where institutional rules, incentives and workforce capacity determine whether AI moves from pilot to industrial scale. For university leaders, the case underscores that campus AI strategy must pair model procurement with governance, standards, workforce training and workflow redesign to achieve sustained productivity gains.
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