AI and machine learning
Indian families are spending lakhs on engineering and management degrees, but AI tools are now doing entry-level coding and analysis work that freshers used to do. Recruiters are saying they care more about practical AI skills than the university name on the paper. This has parents panicking: if a 20-year-old can learn Python and prompt engineering in six months, is a four-year college education just an expensive delay before getting a job?
Tech giants promise AI will boost productivity, but ordinary workers fear their skills will be obsolete within five years. In India, where the youth population is massive, this isn't just a corporate debate—it's a survival issue. If coding, writing, and data analysis are automated, what happens to the millions of students currently studying for those jobs? We need to decide if we should view AI as a tool to upgrade work or a threat that demands immediate regulation to protect livelihoods.
“AI should be embraced, but with strict safeguards. Innovation must not come at the cost of livelihoods. Governments and companies must invest in retraining and protect entry-level jobs, especially for India’s youth.”
AI is increasingly being used to support or make decisions in areas such as healthcare, recruitment, finance, and public services. NIST notes that human roles and responsibilities in AI-assisted decision-making need to be clearly defined, while the EU AI Act requires appropriate human oversight for high-risk AI systems, including the ability to override or stop the system. But is human approval always necessary—or should we trust AI to make some important decisions autonomously?
“I think first we have to decide priorities based on decisions if decisions is lower risky or basic then ai shoudl be able to take decisions”