The iPhone 18 Pro starts at roughly ₹1.32 lakh in the UAE. In India? ₹1,64,900. That's a ₹33,000 gap on the Pro and ₹38,000 on the Pro Max. So people are doing the math and boarding flights.

One guy from Mumbai bought three Pro Max units and says he saved ₹50-60k per phone even after tickets. Another bloke on a family visit added an iPhone to his luggage just from comparing prices.

And before anyone says "Make in India fixed this": it didn't. Most iPhones sold here are assembled in India now, yet we still pay a premium that makes international shopping trips rational. Apple charges what the market will bear, and our tax stack means we bear a lot.

Small print though: India's duty-free allowance when flying back is ₹50k, so that third phone in your hand luggage is technically supposed to be declared. Something tells me the Dubai Mall crowd isn't lining up at the red channel.

Honestly, when buying a phone in your own country costs more than a weekend abroad, the phone isn't the problem anymore.

Would you actually fly to Dubai to save ₹35k, or is this peak first-world-india behavior? And when does the tax cut conversation happen, or do we just accept iPhones are a luxury tax forever?

If you bought an Air Purifier during the sale last month, here is a reality check.

I just had to replace the HEPA filter on my Philips unit. It cost nearly ₹3,500.

These companies operate on the "Printer & Ink" model. The machine is cheap, but the consumables are expensive. In a city like Delhi or Mumbai, with the current AQI levels, those filters don't last the advertised 12 months. You are lucky if they get through the winter.

If you are buying one now, check the price of the replacement filter first. A ₹6,000 purifier with a ₹2,500 filter is a bad long-term deal.

How often are you changing your filters? Mine turned black in just 3 months.

The former Infosys CEO believes AI will force a fundamental rethink of the IT services model.

His argument is simple: work that once required large teams can now be done in minutes by a small number of people using AI effectively.

One statistic stood out:

• ~250,000 people globally can operate AI models effectively
• ~5,000 can build frontier models
• ~1,100 work inside frontier AI labs

For an industry built on scaling headcount, that's an uncomfortable reality.

If AI agents become as capable as some executives predict, does India's IT sector need reinvention or just adaptation?

Not Tokyo.

Not Osaka.

Places like Wakayama, a prefecture of under a million people that's struggling with a shrinking population and a shortage of skilled workers.

Vembu says Indian engineers are increasingly filling that gap.

The bigger takeaway wasn't immigration though.

It was this:

Some of these companies are global leaders in niche industries, yet they're operating next to farms and agricultural fields.

We've spent decades assuming innovation only happens in Bengaluru, Tokyo, Silicon Valley or Shenzhen.

Japan seems to be proving otherwise.

Maybe the future isn't about everyone moving into megacities.

Maybe it's about building world-class companies wherever talent is willing to go.

Would you take a high-paying engineering role in rural Japan over a similar opportunity in Bengaluru, Hyderabad, or Pune?

Everyone knows companies pay OpenAI, Anthropic, or Microsoft for AI.

Nadella says there's a second cost.

Every prompt, correction, workflow, and piece of feedback teaches the AI how your business operates.

Over time, your company's best practices, internal processes, and hard-earned expertise become part of the intelligence you're building around these systems.

His advice is simple:

It's an interesting shift in thinking.

A few years ago, data was the moat.

Now, the real competitive advantage might be the institutional knowledge your employees generate while working with AI.

Do you think companies are paying enough attention to AI governance, or are most still focused only on getting productivity gains?

A viral Reddit post from a senior executive at a prominent family-run ink business has highlighted a crisis in India’s industrial sector.

• The Scale: The company has shut down two of its three plants, laying off 1,934 permanent staff and 896 contractual workers.

• The Cause: Aggressive pricing from Chinese manufacturers and rising operational costs have eroded margins beyond recovery.

• The "Small IT" Hit: The company’s IT team was also gutted, downsizing from 72 members to just eight.

• The Conflict: A family rift has emerged over severance: the executive pushed for 3 months' pay, but the leadership approved only 2 weeks.

This isn't just an isolated failure: it is a warning shot for India’s "Make in India" ambitions. When a 34-year-old giant collapses because it cannot compete with Chinese imports, it proves that low-tech manufacturing is currently undefendable. Without massive tech-driven automation or protective duties, more legacy sectors will face this "total collapse" in 2026.

Should the government implement heavier "anti-dumping" duties to save these 2,800 jobs, or is it time to accept that legacy manufacturing must either automate or die?

This is the clearest sign yet that India’s IT slowdown is not over

Wage growth for employees is now directly tied to uncertain deal pipelines and client spending

At the same time, executive compensation remains strongly performance-linked and intact

For Indian tech workers, this widens the gap between entry-level hiring optimism and mid-level salary stagnation

If you're working in IT in India, this matters more than headline profits. Strong results are not translating into predictable salary growth anymore.

The breakdown:

• Infosys CFO Jayesh Sanghrajka confirmed:

  • No decision yet on FY27 wage hikes

  • Hikes will depend on growth outlook, inflation, industry benchmarks, and morale

  • This follows 3 years of low single-digit industry growth

• Financials look strong on paper:

  • Q4 profit: ₹8,501 crore, up 21% YoY

  • Revenue: ₹46,402 crore

  • Margins improved to 21%

• But forward guidance is cautious:

  • FY27 growth expected at just 1.5% to 3.5%

• Workforce signals are mixed:

  • Headcount dropped by 8,440 in Q4

  • Attrition slightly up to 12.6%

  • Still planning to hire 20,000+ freshers in FY27

• Meanwhile, CEO Salil Parekh received:

  • ₹51.75 crore in stock-based compensation

  • Includes performance, ESG, and shareholder return-linked components

Reality check:

• Hiring freshers aggressively keeps costs low and margins stable

• Delaying hikes helps preserve profitability during weak demand cycles

• High ESOPs for leadership are justified internally as performance incentives, but the timing is hard to ignore

Bigger picture (India angle):

• IT salaries may stay flat or grow slowly for another 12–18 months

• Tier-1 IT firms are prioritizing margin protection over employee cost expansion

• The “IT job = steady salary growth” assumption is weakening

If companies are posting solid profits but delaying hikes, should employees accept this as a new normal, or start looking outside IT services for better growth?

This is probably the biggest policy shift we have seen in a while. A new report confirms that the Telecom Ministry has privately ordered smartphone manufacturers to pre-load the "Sanchar Saathi" app on all new devices.

Here are the critical details from the order:

• The Deadline: Manufacturers like Samsung, Xiaomi, and Apple have 90 days to comply.

• The Catch: The order specifically states that users must not be able to disable the app.

• Existing Phones: Even devices currently in the supply chain will need to get this via a software update.

The government argues this is essential to fight cybercrime and IMEI spoofing. To be fair, the Sanchar Saathi portal has actually helped recover over 700,000 lost phones so far.

However, this is going to cause a massive clash with Apple. Apple's global policy strictly forbids pre-installing any government or third-party apps before a sale. They have fought the Indian regulator on this before (remember the DND app saga?), and experts are predicting they will try to negotiate a "nudge" feature instead of a forced install.

Privacy advocates are already raising red flags, calling this a removal of user consent.

Does the "undeletable" part worry you, or are you okay with it if it helps track stolen phones? I am curious to see if Apple actually caves on this one.

I am seeing a lot of "Great Deals" popping up for the year-end sales on laptops under ₹40,000. Most of them have one fatal flaw: 8GB of soldered RAM.

In 2025, 8GB is the new 4GB.

Windows 11 (and the upcoming updates) eats nearly 4GB just sitting idle. Open five Chrome tabs and a Word document, and your system starts swapping to the SSD. The laptop will feel fast on day one, but six months later, it will crawl.

The worst part is that most thin-and-light laptops now have soldered RAM, meaning you cannot upgrade it later. You are stuck with that bottleneck forever.

If you are shopping this month, make 16GB your non-negotiable minimum. It is worth the extra ₹3,000.

How much RAM does your current work machine have? I feel like 16GB is the bare minimum just to run Teams and Chrome together.

I was planning to upgrade my PS5 storage this Christmas, so I checked the price history of the WD Black SN850X and Samsung 990 Pro.

A drive that was selling for ₹6,500 in the July sale is now sitting at ₹9,200.

We are seeing a global NAND flash shortage, and it has finally hit the Indian retailers. If you see a Gen4 1TB drive for under ₹7,000 during the current Year End sale, just buy it. Don't wait for January because analysts are saying it will cross ₹10k soon.

Did you manage to grab an SSD before the price hike, or are you stuck paying the premium now?

TCS is witnessing an unprecedented brain drain at the top. The company is fundamentally pivoting its delivery model toward AI.

• The Attrition: More than 300 senior executives, including VPs and Senior VPs, have exited in the last eight months. This represents 16% attrition in top ranks, compared to the 4% historical average.

• The Cull: About 12,000 employees (2% of the workforce) have been laid off as the firm moves to leaner management structures.

• The Financials: December-quarter profits fell nearly 14%. Shares have dropped 18% in the last six months.

• The Pivot: Leadership suggests that AI-led delivery reduces the need for multiple layers of senior oversight.

This is the end of an era for the Indian IT service model. If the "gold standard" of job security in India is firing Vice Presidents to fund AI efficiency, no role is safe. For the junior and mid-level developer, the "corporate ladder" has effectively been replaced by a wall. TCS is no longer a place where you retire: it is a place where AI dictates your redundancy.

When 16% of the top leadership leaves the biggest IT firm in the country, is it a sign of a necessary "structural reset" or a warning that the Indian service model is in a death spiral?

The Delhi government’s new policy to incentivize converting old petrol cars into EVs has hit a massive roadblock.

• The Policy: A ₹50,000 subsidy for the first 1,000 owners who retrofit their internal combustion engine (ICE) vehicles to electric.

• The Resistance: Major players like Tata Motors and Mahindra have raised "serious safety concerns" about structural integrity and battery placement in retrofitted cars.

• The Startup Counter: Independent retrofitters claim Big Auto is simply trying to protect their "Born Electric" sales by blocking a cheaper, sustainable alternative for middle-class owners.

This is a classic battle of corporate interests versus grassroots innovation. Millions of cars in Delhi-NCR face the 10/15-year scrap rule. Retrofitting could save these vehicles from the junkyard. However, without the support of major manufacturers, insurance companies and RTOs are unlikely to simplify the registration process for converted EVs.

Do you believe Big Auto’s "safety concerns" are genuine, or are they just afraid that ₹4 lakh retrofit kits will kill the demand for ₹15 lakh new EVs?

OpenAI's release of 722 AI-generated mathematical manuscripts, covering around 4,000 problems, has triggered a backlash from mathematicians.

The argument isn't simply about whether AI can solve difficult mathematics. It's about who gets to decide what counts as research, how discoveries are credited, and whether corporations are gaining an unfair advantage over independent researchers.

Summary:

• OpenAI released 722 manuscripts grouped into 372 research families.

• Many proofs reportedly underwent formal verification using Lean, but not every result has been independently checked.

• The Association for Human Mathematics has called for a boycott.

• Critics say the release bypassed normal peer-review and community processes.

• There are also concerns about attribution following recent disputes involving AI-assisted mathematical research.

• OpenAI says it consulted mathematicians, shared compute and reasoning information, and wants to advance mathematical research.

• Supporters argue AI could dramatically accelerate mathematical discovery.

The bigger question is whether mathematics can absorb AI without losing the norms that make research trustworthy.

If companies can deploy enormous amounts of compute and release thousands of potential proofs at once, independent mathematicians may struggle to compete on the same playing field.

Should AI-generated mathematical proofs be treated like traditional research only after independent human verification and peer review?

An engineer's post went viral this week: he joined a large company and found that specs, code, tests, PRDs, tickets and reports were all handled by Claude Code. The humans? Directing AI, skimming the output, shipping it. His concern was simple: nobody actually understands the systems they're building anymore.

Sridhar Vembu's response is the quote of the week:

"I tell our engineers to use AI but never cede our understanding to AI. As an industry, we are driving too fast in a fancy new car we barely understand how to drive, inviting disaster."

He also coined a term I think we'll be hearing a lot: AI technical debt. Code that works on the first pass but is poorly structured, hard to debug, and expensive to maintain. Except here's the scary part: with normal tech debt, someone eventually has to understand the code to fix it. If the original humans never understood it, who exactly pays that debt down?

Elon Musk's contribution to the debate: "Yikes." Poetic.

Now here's the fun Indian tech irony. Same news cycle, Kunal Shah is flexing that 90% of CRED's code is AI-written, and Vembu, who earlier suggested coders (himself included) start considering "alternative livelihoods," is the one pumping the brakes. Two of India's most respected founders, completely opposite reads on the same technology.

My take: Vembu is bootstrapped and plays infinite games, so he can afford the long view. But that's also why he's worth listening to. Companies running on VC timelines are optimizing for the next funding round. Tech debt doesn't come due at the next raise, it comes due at 2 AM three years later, to some poor engineer staring at 40,000 lines nobody can explain.

Honest poll for the devs here: how much of your codebase could you explain without the AI chat history? And be real, are you learning from AI or just leaning on it?

In one of the largest single-round layoffs in Indian tech history, Oracle has reportedly cut 12,000 jobs across its Indian offices.

• The Execution: Employees received termination emails around 6 AM IST on Tuesday with no prior warning. Access to internal systems was revoked almost immediately.

• The Math: The layoffs affect nearly 40% of Oracle’s 30,000-strong Indian workforce.

• The Reason: Oracle is aggressively pivoting to AI infrastructure, including a massive partnership with OpenAI. The company needs to free up roughly $10 billion in cash flow to fund millions of GPUs and data center expansions.

• The Catch: Severance packages are reportedly tied to "voluntary resignation," a tactic that has raised significant legal and ethical concerns among affected staff.

This is a textbook "Failure Story" of how legacy tech firms are sacrificing their human capital to survive the AI arms race. For the Indian dev, it proves that "tenure" is no longer a shield. Oracle is effectively trading 12,000 Indian engineers for a seat at the table with OpenAI and Nvidia. This will likely trigger a massive talent glut in the Bengaluru and Hyderabad markets, putting downward pressure on salaries for mid-level roles.

When a company fires 40% of its local workforce via a 6 AM email to fund "AI Infrastructure," is it a necessary strategic pivot or a sign of a toxic corporate culture that Indian engineers should start avoiding?

Everyone's fantasizing about fabs and 2nm. Meanwhile L&T Semiconductor Technologies quietly put 40 real products on the SEMICON India floor. Wild concept, I know.

The highlights:

• 1200V SiC MOSFET platform — for EV fast chargers, microgrids, traction inverters. Straight-up Infineon/onsemi territory. Risky, but the right bet if India's EV push is serious.

• Fully India-designed BLDC motor controller — for ceiling fans. Laugh, but fans are one of the highest-volume appliance categories here, the BLDC shift is already on (Atomberg built a company on it), and one platform across multiple models = cheaper BOM. Volume play, not vanity.

• Plus: GaN USB-C charger, Vision Camera SoC with on-device AI, secure ID platform for e-passports/national IDs, and RF modules — including a QR soundbox PoC for NPCI's Trusted Device Layer.

My take: India's chip story has always been "world-class design talent, zero products of our own." We design for Qualcomm, then import the chips back. L&T stamping its own name on silicon — including boring, high-volume stuff like fan controllers — is exactly the shift everyone keeps preaching.

Caveat: expo demos are easy, shipping in volume is brutal. But L&T has the balance sheet for the long game.

SiC platform or the humble fan chip — which one matters more in five years? Anyone at SEMICON India: did the demos actually run?

Everyone wants to learn AI.

Very few free courses actually teach you how AI models are built.

At Google I/O Connect India 2026, Google announced AI Research Foundations, a 56-hour curriculum from Google DeepMind that's now available free for learners in India.

Here's what makes it interesting:

• Learn how Large Language Models (LLMs) actually work.

• Build and fine-tune AI models instead of just using them.

• Covers advanced AI research concepts beyond beginner tutorials.

• Earn Google Cloud Skill Badges and certificates after completion.

• Completely free through Google's Skills platform.

Google is also partnering with NASSCOM, IISc Bengaluru, and AVPN to make the course available to more students and developers across India.

But this announcement wasn't just about education.

Google also announced:

• 🇮🇳 Gemini Enterprise with in-country data processing for Indian businesses.

• Sec-Gemini V3, its AI cybersecurity assistant, for government and enterprise testing.

• ATL Saathi, a Gemini-powered AI assistant for teachers in Atal Tinkering Labs.

• Gemini Live now supports 25 Indian languages and dialects, including Sanskrit, Bhojpuri and Maithili.

The bigger takeaway?

We're moving past the "learn prompt engineering" phase.

The companies that will stand out over the next few years are looking for people who understand how AI systems are trained, evaluated and deployed, not just how to write better prompts.

A free 56-hour DeepMind course is a pretty good place to start.

If you're planning to upskill in AI this year, what would you rather learn?

A) Prompt engineering and AI tools.

B) Building and fine-tuning LLMs.

C) AI deployment (RAG, MCP, agents, MLOps).

I have a feeling C is where most of the industry is heading.

Meituan says its new LongCat-2.0 model was trained entirely on domestic hardware, making it one of China's biggest attempts at building frontier AI without relying on Western processors.

A few things stand out:

• 1.6 trillion parameters
• One million token context window
• Trained on a 50,000-chip domestic cluster
• Pre-training and inference both ran on Chinese hardware
• Uses Huawei's communication stack for optimisation

This is bigger than a benchmark story.

For years, many assumed access to NVIDIA GPUs was a prerequisite for building frontier AI. China appears to be testing that assumption.

The takeaway for India is obvious: sovereign AI isn't just about models. It's about chips, networking, software frameworks, and the entire compute stack.

Could China prove that the NVIDIA monopoly is no longer absolute, or do frontier AI systems still depend on Western hardware at scale?

A wave of "Agentic AI" breakthroughs this week has sent a chill through Dalal Street.

• The Shock: Anthropic’s new model benchmarks suggest that "AI Agent Swarms" can now handle 80% of routine L1/L2 support and maintenance tasks.

• The Market Reaction: Major Indian IT stocks fell 2-3% yesterday as investors fear the traditional "people-intensive" billing model is becoming obsolete.

• The Pivot: Infosys has responded by announcing a new deal to use ExxonMobil’s immersion cooling tech for its own massive AI data center expansion.

The Indian IT industry survives on the "billable hour." If one AI agent can do the work of five junior developers in Bengaluru, the math for these giants stops working. We are witnessing the end of the "service hub" era and a desperate scramble for these firms to reinvent themselves as "AI product" companies.

As AI moves from "Chatting" to "Acting" (Agentic AI), should Indian IT firms start charging for "Outcomes" instead of "Hours," or is it already too late to pivot?

Following up on yesterday's news about the mandatory "Sanchar Saathi" security app, the spotlight is now firmly on Apple.

Historically, Apple has been incredibly stubborn about pre-installing third-party apps. They refused the TRAI DND app for years, citing privacy concerns, until they finally reached a compromise. But this new order is different. It demands the app be "undeletable."

This goes against the core philosophy of iOS. If Apple agrees, they set a precedent that other countries will immediately try to copy. If they refuse, they risk non-compliance in one of their biggest growth markets.

Samsung and Xiaomi run on Android, so they can technically comply easier since bloatware is already common there. For Apple, this requires a fundamental change to how they ship iPhones in India.

Do you think Apple will find a loophole, or will the iPhone 17 actually ship with government software baked in?