We have a decent pool of high quality candidates from FAANG companies . These companies can operate at 1/10 employment cost of what they pay in US . Why are these not coming to India? Any particular reason?
Kolkata:
The Bengal government under Suvendu Adhikari has come up with a number of key decisions in the first meeting of the state cabinet held today. The two most important include discontinuation of government assistance to groups based on religious categorisation from June and scrapping the state's existing list of Other Backward Classes following an order from the Calcutta High Court. "A panel will be set up to decide quota eligibility," said minister Agnimitra Paul.
Schemes being implemented under religious categorisation by the departments of Information and Cultural Affairs and Minority Affairs and Madrasa Education will continue till the end of this month. These will be stopped from June. Notifications in this regard would be issued separately, Paul added.
2010 to 2023 was the golden era to buy flats and real estate followed by AI disruption and now the global energy crisis where inflation is going to shoot up all over the work .
Am I the only one who is not confident that I might be able to pay EMI for the next decade ?
Are new home buyers rethinking their decision to buy a flat ?
Are you just saving up for now with rent without going to EMI trap?
2010 to 2023 was the golden era to buy flats and real estate followed by AI disruption and now the global energy crisis where inflation is going to shoot up all over the work .
Am I the only one who is not confident that I might be able to pay EMI for the next decade ?
Are new home buyers rethinking their decision to buy a flat ?
Are you just saving up for now with rent without going to EMI trap?
Whenever biharis are suggesting to bring a data center or new IT centers to bihar on IG or reddit , there are people who answer " but it will be stolen the next day only " .
Crossposting body for reference
"Just saw a news report saying many boys in Uttarakhand, especially around the Dehradun side are finding it hard to get brides. But guess what reason the news channels are giving? “Girls have too many expectations and demands.”
Meanwhile, the gender ratio in Dehradun district is only around 902 females per 1,000 males.
• Child sex ratio (0–6 years): it drops even lower to around 889 girls per 1,000 boys. In some areas like the Dehradun Cantonment Board, it reportedly falls to 793 girls per 1,000 boys.
Indian society will blame literally anything except the reality that years of discrimination against girls and female foeticide contributed to this imbalance. Haryana also recently saw concerns over declining gender ratios and action against illegal abortion centres but haryanvi people will come online say "Haryanvi girls are too demanding"
**Absolutely misleading. No one is complaining about the lack of girls .it's most girls who want 50 lpa tech bros with 3 bhk independent house n foreign trips n maids n cooks n family assets, 6 feet , handsome. If she earning ,she doesn't want to contribute telling it's my money
While female foeticide is a big issue but separate issues on its own, overall men n women have abundant options if expectations are realistic . Not to mention most mother in law's are against females n force n torture DIL to get abortion in conservative areas n they blame men for it 😂"**
Edit : reposted from Cscareerquestionsub.
I had an unusual vantage point. I spent three years grinding through university assignments the hard way, Stack Overflow, rubber duck debugging, suffering through broken code at 2am, then ChatGPT dropped in my final year. It wasn't good enough to lean on for fourth-year problems so I didn't bother. I graduated, landed my first full-time role, and by then AI had gotten good enough that I could delegate junior-level tasks to it as long as I understood the architecture and best practices well enough to supervise the output and prompt well.
That foundation matters more than I realized at the time.
Fast forward to now. I've been talking to the co-op students in my office about how AI is actually being used on their campus in 2026. The answer is everywhere. Assignments, projects, everything. The work is generated by AI, submitted to professors, and in many cases evaluated by AI. The feedback loop that used to produce learning, writing broken code, not knowing why, digging until you finally understood, is largely gone.
Here's my uncomfortable take: I think roughly 70% of current CS graduates are going to struggle badly in real-world engineering roles. Not because they're lazy or stupid, but because they never built the mental models that come from actually failing at hard problems. They brute-force memorized theory for exams and forgot it a week later. They never had to truly understand why something worked because the AI just made it work.
And this is where it gets interesting. I don't think AI is going to take engineering jobs so much as it's going to expose a massive quality gap in who's filling them.
Senior engineers who built their intuition before AI are gradually going to exit the industry. Not because they're automated out, but because the craft they loved is disappearing. The people behind them largely can't architect solid systems from first principles. That gap has to be filled by someone.
The people who win in this environment are a narrow slice: those who went through the trenches early enough to build genuine intuition and also embraced AI as a multiplier rather than a substitute for thinking. That cohort is small and universities are not replenishing it. We aren't seeing it yet, but we will. You cant have a bunch of agents doing work and not understand atleast why its doing something. Even the basics of how to run a unit test via a command line is lost knowledge to the next cohort.
The counterargument I keep hearing is that every generation said the same thing about calculators, Google, IDEs. Maybe. But those tools assisted thinking. What I'm describing is a tool that replaces the thinking that was supposed to happen during the learning phase itself. A calculator didn't stop you from understanding math, it just saved time on arithmetic. AI skips the part where you learn to actually think like an engineer.
Curious if others are seeing this on the ground, or if I'm just falling into the classic "things were harder in my day" trap.
Edit : reposted from Cscareerquestionsub. Ignore the heading repeated twice
I had an unusual vantage point. I spent three years grinding through university assignments the hard way, Stack Overflow, rubber duck debugging, suffering through broken code at 2am, then ChatGPT dropped in my final year. It wasn't good enough to lean on for fourth-year problems so I didn't bother. I graduated, landed my first full-time role, and by then AI had gotten good enough that I could delegate junior-level tasks to it as long as I understood the architecture and best practices well enough to supervise the output and prompt well.
That foundation matters more than I realized at the time.
Fast forward to now. I've been talking to the co-op students in my office about how AI is actually being used on their campus in 2026. The answer is everywhere. Assignments, projects, everything. The work is generated by AI, submitted to professors, and in many cases evaluated by AI. The feedback loop that used to produce learning, writing broken code, not knowing why, digging until you finally understood, is largely gone.
Here's my uncomfortable take: I think roughly 70% of current CS graduates are going to struggle badly in real-world engineering roles. Not because they're lazy or stupid, but because they never built the mental models that come from actually failing at hard problems. They brute-force memorized theory for exams and forgot it a week later. They never had to truly understand why something worked because the AI just made it work.
And this is where it gets interesting. I don't think AI is going to take engineering jobs so much as it's going to expose a massive quality gap in who's filling them.
Senior engineers who built their intuition before AI are gradually going to exit the industry. Not because they're automated out, but because the craft they loved is disappearing. The people behind them largely can't architect solid systems from first principles. That gap has to be filled by someone.
The people who win in this environment are a narrow slice: those who went through the trenches early enough to build genuine intuition and also embraced AI as a multiplier rather than a substitute for thinking. That cohort is small and universities are not replenishing it. We aren't seeing it yet, but we will. You cant have a bunch of agents doing work and not understand atleast why its doing something. Even the basics of how to run a unit test via a command line is lost knowledge to the next cohort.
The counterargument I keep hearing is that every generation said the same thing about calculators, Google, IDEs. Maybe. But those tools assisted thinking. What I'm describing is a tool that replaces the thinking that was supposed to happen during the learning phase itself. A calculator didn't stop you from understanding math, it just saved time on arithmetic. AI skips the part where you learn to actually think like an engineer.
Curious if others are seeing this on the ground, or if I'm just falling into the classic "things were harder in my day" trap.
"WFH, No Foreign Weddings: PM Modi's Strategy To Combat Rising Prices"