For an AI lesson, India must look back — 300 years
By Andy Mukherjee
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India’s dominance in tech outsourcing is facing an existential challenge not unlike what its world-beating textile industry battled — and lost — 300 years ago.
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Offering CollegeCourseWebsiteIIT DelhiCertificate Programme in Data Science & Machine LearningVisitIndian School of BusinessProfessional Certificate in Product ManagementVisitMIT xPROMIT Technology Leadership and InnovationVisitIn the early 1700s, it took 50,000 hours to spin 100 pounds of cotton. “Indian spinners were regarded as the most productive in the world, and they produced the best-quality product,” as Daron Acemoglu and Simon Johnson, economists at the Massachusetts Institute of Technology, note in a new paper. By 1795, however, automation had crunched the labor demand to 300 person-hours.
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The profound impact of the industrial revolution on cotton-spinning may be poised for a repeat in a $250 billion white-collar powerhouse. Each year, 5 million Indians churn out billions of lines of code for global banks, manufacturers and retailers. Research by McKinsey & Co. showed last year that with generative artificial intelligence it’s possible to cut the time taken for code generation by 35% to 45%, and slash documentation time by nearly half.
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