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.
“Also indian are not using ai properly, they are focusing on creating funny images, creating trending images like 1980 era, etc. So we have run awareness about using ai correctly like boost your productivity, learning, etc , so when we use correctly then we will jot afread about it, beause we got know about ai while using that”
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?
“okok”