Why do millions of young Indians spend years preparing for government exams, even when private-sector jobs may pay significantly more? And what does this tell us about the economics of government jobs in India?
Kunal discusses research in which aspirants chose a tehsildar job paying ₹50,000–₹60,000 a month over a private-sector job paying ₹3 lakh a month. They also examine how aspirants perceive risk, why the possibility of success makes competitive exams feel different from a lottery, and what happened when Tamil Nadu froze government hiring between 2001 and 2006.
The conversation also looks at the personal costs of preparing for these exams, the difficulties aspirants face when they don't succeed, and the lack of attractive alternatives after years of preparation. Finally, Kunal discusses possible changes to the examination system and explains why he moved from economics to applied AI to build systems that can solve practical problems at scale.
Timestamps: 0:00 Introduction & the value of a government job 2:01 The “Tu to Aap” respect shift 3:37 ₹50K government job vs. ₹3L private job 8:55 Why aspirants choose exams over lotteries 11:51 Tamil Nadu’s hiring freeze 12:56 Why exam scores can be misleading 15:16 Does the first attempt predict selection? 25:52 The lack of an off-ramp for failed aspirants 37:08 Hiding exam timelines from parents 57:57 Why Kunal Mangal switched to AI
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