Do you even understand how disastrous your policies are turning out for the India Growth Story & the Indian Stock Market.
Indian Stock Market is the worst performing globally in the past 2 years & the Indian rupee is the worst performing currency in Asia in the past couple of years.
Foreign investors are relentlessly selling & taking money out & the Indian retail investors are reduced to absorb FII selling.
If India's GDP is growing at 7.8%, then why are corporate earnings not reflecting. Why is basic consumption not reviving.
Today BJP has 17 CM's & 22 NDA state govts. 1800+ BJP MLA's in the country. Who is stopping you from delivering Growth. You haven't been able to privatise an IDBI bank for the past 7 years & then talk about reforms.
Indian rupee is past 95. In the past 12 years, it depreciated by 37 rs.
Nifty IT Index has fallen more than 40% from top. If Artificial Intelligence takes away jobs from Indian IT sector, then remember it will have a domino effect on the Indian economy which will dampen sales from housing, auto, FMCG, tourism etc.
The pitcure projected through headline management in media isn't true. The ground reality of the Indian economy isn't whats been shown. Better work by appointing some bureaucrats who understands macroeconomics. A high tide lifts all boats but your policies will do the opposite.
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.
The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.
The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.
However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.
Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.
What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.
[Original text: The Batch newsletter]
That straight 91m six from Vaibhav Sooryavanshi to a 153 kmph ball from Rabada might well be the most astonishing shot of this tournament. I cannot get my eyes off this young man for a minute.
Can the Prime Minister of India provide such clean, beautiful, and pollution-free air to the people of his country ?
Amazing norway: helle lyng svendsen
Can the Prime Minister of India provide such clean, beautiful, and pollution-free air to the people of his country ?
Amazing norway: helle lyng svendsen
I request our management, @realpreityzinta, @PunjabKingsIPL and all respective personalities that associated with the team, please please keep one home ground it's difficult for the team to adapt conditions. It's like we are playing only 4 home matches and all other are away games, if you want that our team will win trophy in the future, we have to play in 1 homeground. We are literally dominating in mullanpur and now all three loses in dharamshala. Not against the stadium, but it's difficult for the players. Thank you and keep an eye on this situation
Media is creating unnecessary fear of job loss due to AI on the contrary it will create more jobs and business both in IT services and product companies
There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]
Seems like no one gives a shit about the current market fall in India.
This is not like 2008, 2020, or 2022 falls.
Back then, all major markets were falling. There were macro issues at play. Everyone was suffering. And, mean reversion was almost given even in the Indian markets.
2025, 2026 has been quite different for India now.
IT destroyed. Other countries winning on innovation, we are not. Make in India became a joke in India.
And, now unnecessary panic unlocked due to Modi ji's speech.
No responsible person, organization, agency speaks about our market. Looks like, it has been left to die.
I don't have a crystal ball. Maybe markets will recover, or they won't. I don't know.
But, the general apathy from the leaders during these troubled times would be hard to forget.
When an economy does not care about its investors, natural question is: why should the investors care about the economy in the long-term?
Forget FIIs. Even domestic retail feels alienated.
Dear Gen Z,
Your mass unfollowing of Chadha yesterday may have cost him ₹20,00,000 today.
A small price to pay for breaking your trust.
Keep unfollowing.
Today, exercising the provisions of the Constitution of India, more than two-thirds of the AAP MPs in the Rajya Sabha have merged with the BJP.
Seven MPs have signed the document, which was submitted to the Hon’ble Chairman of the Rajya Sabha.
I, along with two other MPs, personally handed over the signed documents.
AI is accelerating software engineering most, given the rise of coding agents. According to new report by Citadel Research, software engineering job postings are rising rapidly. So if software engineering is a harbinger of the impact AI expansion of SW engineering is encouraging
As AI agents accelerate coding, what is the future of software engineering? Some trends are clear, such as the Product Management Bottleneck, referring to the idea that we are more constrained by deciding what to build rather than the actual building. But many implications, like AI’s impact on the job market, how software teams will be organized, and more, are still being sorted out.
The theme of our AI Developer Conference on April 28-29 in San Francisco is The Future of Software Engineering. I look forward to speaking about this topic there, hearing from other speakers on this theme, and chatting with attendees about it. We’re shaping the future, and I hope you will join me there!
It is currently trendy in some technology and policy circles to forecast massive job losses due to AI. Even if they have not yet materialized, these losses certainly must be just over the horizon! I have a contrarian view that the AI jobpocalypse — the notion that AI will lead to massive unemployment, perhaps even rioting in the streets — won’t be nearly as bad as dire forecasts by pundits, especially pundits who are trying to paint a picture of how powerful their AI technology is.
Among professions, AI is accelerating software engineering most, given the rise of coding agents. According to a new report by Citadel Research, software engineering job postings are rising rapidly. So if software engineering is a harbinger of the impact AI will have on other professions, this expansion of software engineering jobs is encouraging.
Yes, fresh college graduates are having a hard time finding jobs. And yes, there have been layoffs that CEOs have attributed to AI, even if a large fraction of this was “AI washing,” where businesses choose to attribute layoffs to AI, even though AI has not changed their internal operations much yet. And yes, there is a subset of job roles, such as call center operator, that are more heavily impacted. Many people are feeling significant job insecurity, and I feel for everyone struggling with employment, whether or not the cause is AI-related. And many other factors, such as over-hiring during the pandemic and high interest rates, have contributed to the slowdown in the labor market, and the notion that AI is leading to unemployment is oversimplified.
In software engineering, I see a lot of exciting work ahead to adapt our workflows. It is already clear that: (i) As AI makes coding easier, a lot more people will be doing it. (ii) Writing code by hand and even reading (generated) code is not that important, because we can ask an LLM about the code and operate at a higher level than the raw syntax (although how high we can or should go is rapidly changing). (iii) There will be a lot more custom applications, because now it’s economical to write software for smaller and smaller audiences. (iv) Deciding what to build, more than the actual building, is becoming a bottleneck. (v) The cost of paying down technical debt is decreasing (since AI can refactor for you).
At the same time, there are also a lot of open questions for our profession, such as:
- In the future, what will be the key skills of a senior software engineer? And for junior levels, what should be the new Computer Science curriculum?
- If everyone can build features, what skills, strategies, or resources create competitive advantage for individuals and for businesses?
- What are the new building blocks (libraries, SDKs, etc.) of software? How do we organize coding agents to create software?
- What should a software team look like? For example, how many engineers, product managers, designers, and so on. What tooling do we need to manage their workflow?
- How do AI agents change the workflow of machine learning engineers and data scientists? For example, how can we use agents to accelerate exploring data, identifying hypotheses, and testing them?
I’m excited to explore these and other questions about the future of software engineering at AI Dev. I expect this to be an exciting event. Please join us!
[Original text: The Batch newsletter.]
https://t.co/i4bQevDG4i
Yes they can detect potholes on the road but they can't issue and send challan to authorities who is responsible making roads because you can't earn here because you need to spend money.
If you drive without a helmet, camera will detect.
If you drive without a seat belt, camera will detect.
If you overspeed, camera will detect.
If you use your phone while driving, camera will detect.
They detect every mistake people make, and you get a challan. So why can’t the same traffic cameras detect the potholes on the road?
2016 – Demonetization:
Wedding at home. Guests ready. Gas available.
But no cash.
2021 – Pandemic:
Wedding at home. Cash ready. Gas available.
But no guests.
2026 – Gulf War:
Wedding at home. Cash ready. Guests present.
But no gas.
2031 – God Only Knows:
"India may have millions of AI developers, but very few people actually building the frontier."
Prof. Balaraman Ravindran (head of the Wadhwani School of Data Science & AI at Indian Institute of Technology Madras)
Good insights
• India is strong in AI applications and frugal innovation
• But lacks enough research engineers working on core models, training efficiency and AI hardware
• Compute infrastructure and research funding remain major bottlenecks
• Universities often reserve scarce compute for papers rather than deep experimentation.
What India needs in his assessment
• Large compute clusters accessible to researchers
• Long-term VC bets in AI research
• Attracting diaspora talent
• Building institutions focused on frontier AI via @timesofindia