A Personal " Welfare Doot " for every Indian

If Mohamed Cannot Go to the Mountain, Let the Mountain Go to Mohamed

Social Benefit Schemes in the Age of AI Agents

Nov 11, 2026 · @Hemen Parekh

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To:

Dr. Virendra Kumar, Hon'ble Union Minister of Social Justice and Empowerment — min-sje@nic.in / vkumar@mpls.sansad.in

Cc: 

Shri Sushil Jain, Business Head, TCS — sushil.jain@tcs.com

============================================

Subject: 

Let welfare schemes come searching for the citizen — an agentic redesign of India's scheme platform

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Respected Dr. Virendra Kumar ji,

In a conversation with ETGovernment today (11 Nov 2026), Shri Sushil Jain of TCS made a point that deserves to become government policy: in the AI era, citizens will expect the government to come closer to them, instead of expecting them to navigate layer after layer of the system to reach the service they need. He spoke of moving from a citizen-initiated model to one that is personalised, anticipatory and outcome-oriented, built on an architecture that is interoperable and designed for scale from day one.

That is the old proverb, turned into a design brief: if Mohamed cannot go to the mountain, let the mountain go to Mohamed.

For the widow in Bundelkhand, the Divyang youth in Kalahandi, or the 82-year-old pensioner in Kurla, the mountain is the welfare system. Today we ask them to climb it. I am writing to propose that we make it walk to them.

Before you read further: you can see the mountain walk. Click through the Welfare Doot mock-up — 13 steps, about five minutes. The steps are summarised below.

Where we stand today

The national scheme gateway (india.gov.in/my-government/schemes, powered by myScheme) is a genuine achievement. But look at how it works:

• A 6-step eligibility questionnaire that the citizen must find, understand and fill in
• Filters by category and by ministry — which assumes the citizen knows which ministry looks after her
• No saved profile, no history, no alerts. If she becomes eligible tomorrow — turns 60, gets a disability certificate, loses her husband, her crop fails — nobody tells her
• It redirects her to a ministry portal; it does not apply on her behalf

This is a pull model. It serves the literate, the connected and the persistent. The people Your Ministry exists for — Scheduled Castes, senior citizens, Divyangjan, transgender persons, beggary-affected and de-notified communities — are precisely those least able to pull.

What I proposed on 10 August 2026

In my blog "Enabling Social Benefit Schemes to Come Searching For You", I asked my AI assistant (SearchMyBlogs.IndiaAGI.ai) to design a push platform. It produced NaMo.ai — an Intelligent Welfare Orchestrator:

Component	What it does
Golden Data Profile	Minimal verified attributes pulled, with one-time revocable consent, from Aadhaar, DigiLocker, ITR, e-Shram and Account Aggregator
Eligibility Pre-computation	Every profile carries a ready list of schemes it qualifies for
Zero-Search Dashboard	No search bar — only "You are eligible" and "Eligible if you add document X"
Smart Triggers	Life and income events re-run eligibility automatically
Pre-filled Applications	Forms auto-populated from verified data
Consent-based Submission	Citizen e-Signs; platform files with the ministry
Explainable Rejections	Deterministic rules engine: "Income exceeds scheme limit by ₹12,000"

Two later developments have made this far more practical than it was even three months ago.

First — the citizen has already accepted the face as her signature. In my blog of 6 Nov 2026 ("Face at 80%"), I noted that face authentication generated nearly 80 per cent of Digital Life Certificates in the first five days of DLC Campaign 5 — about 40 lakh certificates, mostly from super-seniors who often do not own a smartphone. If an 85-year-old can prove she is alive with a selfie, she can sign a scheme application the same way.

Second — the citizen wants to talk, not type. In "Dear PM: People want to talk to You" (3 Sept 2026), I argued for a two-way, voice-based dialogue in 26 Indian languages. BHASHINI now powers over 800 government websites, and CPGRAMS launched Samadhan Didi, a voice chatbot for grievances, on 30 May 2026. The voice layer exists.

Redesign for the AI-Agent era: from Orchestrator to Welfare Doot

In August I designed a smart portal. The technology of November 2026 allows something better — a personal welfare agent for every citizen that does the legwork for her, under her control. MeitY has already shortlisted vendors for a reusable government-wide agentic AI platform, with DigiLocker as the first use case, and the Digi Doot paper released at the India AI Impact Summit proposes a citizen-owned AI agent connected to Aadhaar, DigiLocker and UPI. Here is what I would add to NaMo.ai:

1. A citizen-side agent, not just a government-side portal

Each citizen (or household) gets a Welfare Doot — an AI agent that works for her. It holds a scoped, time-bound mandate ("find and apply for schemes for my family; never submit without my nod"). It talks to department-side agents of each ministry, agent-to-agent, the way UPI apps talk to banks. No citizen ever opens a ministry website.

2. Voice-first, phone-optional

• Speaks and listens in the citizen's own language and dialect via BHASHINI
• Works on a missed call / IVR for feature phones
• An Assisted Mode for Anganwadi workers, ASHAs, CSC operators and Divyang Mitras, who can run the agent on behalf of a citizen with her face-consent

No app to download. 

The Doot runs as a government service in the cloud, not as an app on the phone.

 It reaches every one of India's mobile users on whatever phone they already

 have: a voice call, SMS or missed call on a basic feature phone; WhatsApp or

 apps people already use (UMANG, DigiLocker) on a smartphone; or an Anganwadi

 worker's tablet for those with no phone at all. UPI 123PAY already lets feature-

phone users pay through voice calls and missed calls; the Doot uses the same

 idea. On a feature phone, everyday permissions are given by OTP plus voice-print.

 Final signatures use a face check on the helper's tablet: the tablet only lends the

 camera, and it is still the citizen's own face giving consent.

3. Face as signature, with a voice fallback

Reuse the DLC face-authentication rail for consent and e-Sign. For those with tremor, cataract or failing liveness checks, a voice-print fallback — the gap I flagged to the Department of Pensions on 6 Nov.

4. A consent log the citizen can see and revoke

The DPDP Rules' consent-manager provisions come into force on 13 November 2026 — two days from today. Every time the agent reads her data or applies on her behalf, it is written to a citizen-visible, revocable consent log. Trust is the precondition for push.

5. "Scheme-as-Code" — the one reform only Government can do

No AI, however clever, can match citizens to schemes whose rules live in PDFs and Gazette notifications. I request that every scheme of Your Ministry publish its eligibility rules in a machine-readable, versioned format in a national Scheme Rules Registry. This is the single highest-leverage step — and it costs almost nothing.

6. The household, not the individual

Welfare is a family affair. The agent should see the household (with consent): one disability certificate for a child should trigger ADIP aids, a scholarship, and the parent's carer support — all at once.

7. Life-event triggers from government's own registers

Registrations of birth and death, a new UDID card, turning 60, a crop-loss declaration, an e-Shram job loss — each should automatically wake the agent, which then tells the family what they have become entitled to. A widow should hear about the widow's pension from the government, before she hears about it from a middleman.

8. Track to the rupee, then renew automatically

The agent follows each application until the DBT credit lands in the bank account, and renews recurring benefits (scholarships, pensions) without fresh paperwork. If a deadline is missed or a credit fails, it files a CPGRAMS grievance by itself.

9. Humans decide, AI does the legwork

The agent proposes; the citizen disposes. Nothing is submitted, no data is shared, and no money moves without explicit confirmation. Every rejection carries a plain-language reason and a one-tap appeal.

10. An "Exclusion Dashboard" for the Ministry

For the first time, Your Ministry could see, district by district, how many citizens are eligible but not enrolled — the true measure of a welfare scheme's reach. Success becomes "how many we found", not "how many came to us".

11. No central data lake

Federated queries only; raw data stays with its source (UIDAI, DigiLocker, ITD, e-Shram). The agent carries answers ("eligible: yes"), not documents.

A suggested pilot for the Ministry of Social Justice and Empowerment

Your Ministry is the natural home for this. I would suggest:

• Schemes: Post-Matric Scholarship for SC students, Rashtriya Vayoshri Yojana (aids for senior citizens), and ADIP (aids for Divyangjan)
• Geography: one Aspirational District
• Duration: six months
• Success metric: eligible-but-not-enrolled citizens reached, and median days from eligibility to first credit

A word to Shri Sushil Jain

Sir, your interview describes exactly this architecture: personas based on each citizen's circumstances, intelligent workflows, interoperable services that work together rather than merely exist side by side. TCS has built Passport Seva and much of India's public digital backbone. I would be delighted if TCS took up the Welfare Doot as a proof-of-concept — my designs and blogs are freely available for anyone who wishes to build on them.

See it work: a clickable mock-up

Rather than ask you to imagine the Welfare Doot, I have built a clickable mock-up of it: Welfare Doot — Clickable Agent Workflow. It follows one family in Banda — Kamla Devi (61), widowed last week; her daughter Sunita (18), an SC college student; and her son Ravi (15), who has a locomotor disability — through 13 steps:

1. Life event detected — her husband's death registration wakes the family's agent. It waits 7 days out of respect before calling.
2. The Doot calls Kamla ji — on her feature phone, in her own language. She can go on with her daughter's smartphone, or ask an Anganwadi worker to visit with a tablet.
3. Face consent — a selfie, just like the pension life certificate. If her face does not scan, she can use her voice instead.
4. Scoped permission — she chooses what the agent may look at, for 90 days only. Switch off Ravi's disability card and watch his schemes drop to "possibly eligible".
5. Agent at work — it asks each source only yes/no questions. Not one document is fetched.
6. Family entitlements — 5 schemes for 3 people, across three departments, on one screen, with no search. It also shows the one scheme she cannot get, and why.
7. Why eligible? — every scheme shows the rule it was checked against and the evidence for it.
8. Pre-filled forms — the one missing paper (Sunita's admission receipt) comes straight from the college's own agent.
9. One face, five signatures — Kamla ji and Sunita each approve with their own face. Nothing is sent before that.
10. Agent-to-agent filing — the Doot hands each application to the department's agent and gets an acknowledgement number back.
11. Track to the rupee — press "+15 days" to watch the money arrive. When Sunita's scholarship payment fails, the agent files a CPGRAMS complaint by itself and gets the bank to fix the account.
12. Consent log — every use of her data is listed, each with a Revoke button.
13. Ministry view — the district dashboard shows who was eligible but not enrolled, and how many the Doot found.

Use the Smartphone / Feature phone switch at the top of the mock-up to see the same 13 steps as a feature-phone call: what the Doot says, which keys she presses, and the SMS she receives.

It takes about five minutes to click through. The names, amounts and figures in it are illustrative.

My request

Respected Minister ji, I would be grateful for an opportunity to share the detailed design with Your Ministry's technical team, and for Your Ministry to consider (a) publishing its scheme rules in machine-readable form and (b) a district pilot of a proactive, agent-based delivery model.

The mountain has the technology to walk now. Let it walk to Mohamed.

With warm regards,

Hemen Parekh

hemenparekh.ai · www.HemenParekh.in · Mumbai

11 November 2026

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My earlier blogs on this subject

• Face at 80%: My SUIIC Blueprint Is Already in Production — 06 Nov 2026
• Dear PM: People want to talk to You — 03 Sept 2026
• Enabling Social Benefit Schemes to Come Searching For You — 10 Aug 2026

Reference

• ETGovernment, Reimagining citizen experience with digital service delivery in the AI era (interview with Shri Sushil Jain, TCS), 11 Nov 2026
• Current platform: https://www.india.gov.in/my-government/schemes

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www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in

Sample Mock Test  CET

15 questions · Physics, Chemistry, Maths · tap an option to check your answer

Physics

Alternating Current (AC) · Medium

Q1. A small signal voltage V(t) = 0 sin(ωt) is applied across an ideal capacitor C. Which of the following statements is true?

Answer: A
For an AC circuit containing capacitor only, the phase difference between current and voltage is \( \frac{\pi}{2} \) (i.e. 90°). In this case current is ahead of voltage by \( \frac{\pi}{2} \). Hence, the power is given by \( P = V I \cos(\phi) \) where \( \phi = \) phase difference. Therefore, \( P = V I \cos(90°) = 0 \).

Mechanical Properties of Fluids · Medium

Q2. If energy (E), velocity (v) and time (T) are chosen as the fundamental quantities, the dimensional formula of surface tension will be

Answer: C
Surface tension (S) is defined as Force [F] per unit Length [L].
Therefore, the dimensional formula of surface tension is [MLT][L]^{-1} = [MLT^{-2}].
We also know that:
1. Energy (E) = Force × Displacement = [MLT^{-2}] [L] = [ML^{2}T^{-2}]
2. Velocity (v) = Displacement/Time = [L][T^{-1}]
Thus, substituting the dimensions into the surface tension gives:
S = Force / Length = [MLT^{-2}] / [L] = [MLT^{-2}].
Using E, v, and T as fundamental quantities gives us the formula [E v T^{-2}].

Current Electricity · Medium

Q3. For the circuit given below, the Kirchhoff’s loop rule for the loop BCDEB is given by the equation

Answer: B
Applying KVL rule in loop BCDEB, we get the equation as \( R I + E - R_2 I_2 - R_3 I_3 = 0 \)

Gravitation · Medium

Q4. The escape velocity from the surface of the earth is \(v_e\). The escape velocity from the surface of a planet whose mass and radius are three times those of the earth, will be what?

Answer: A
Since escape velocity is proportional to \(\sqrt{\frac{M}{R}}\), for a planet with mass \(M_p = 3M_e\) and radius \(R_p = 3R_e\), we have \(v_{p} = \sqrt{\frac{3M_e}{3R_e}} = \sqrt{\frac{M_e}{R_e}} = v_e\). Thus, the escape velocity from the planet is \(v_e\).

Current Electricity · Medium

Q5. In meter bridge, the balancing length from left is found to be 20 cm when standard resistance of 1Ω is in right gap. The value of unknown resistance is?

Answer: A
Let the unknown resistance be X. Then condition of Wheatstone bridge gives, \( \frac{X}{R} = \frac{20}{80} \) where, \( R = 1Ω \). Hence, unknown resistance is \( X = R \times \frac{20}{80} = 1 \times \frac{1}{4} = 0.25Ω \).

Chemistry

Purification and Characterisation of Organic Compounds · Easy

Q6. Camphor is often used in molecular mass determination because

Answer: C
Camphor is utilized in molecular mass determination due to its volatile nature, which allows it to be easily removed after use. This technique is known as Rast’s camphor method, where camphor acts as a solid solvent.

Organic Compounds Containing Halogens · Medium

Q7. Which one is a nucleophilic substitution reaction among the following?

Answer: B
The reaction CH3CH2CH2CHBr + NH2CH3 → CH3CH2CH2CH(NH2)CH3 represents nucleophilic substitution where the nucleophile (NH2CH3) substitutes the bromine atom in the alkyl bromide.

Ionic Equilibrium · Medium

Q8. Which of these is least likely to act as a Lewis base?

Answer: C
Lewis bases are electron pair donors. CO has a lone pair of electrons that can be donated, and F^- can also act as a Lewis base due to its negative charge. PF_3 has a lone pair on the phosphorus atom as well. However, BF_3 is an electron-deficient species and does not have a lone pair to donate, making it least likely to act as a Lewis base.

Some Basic Concepts in Chemistry · Medium

Q9. In the preparation of alkene from alcohol using Al₂O₃, which is the effective factor?

Answer: B
Temperature is the effective factor for the dehydration of alcohol by Al₂O₃ (alumina), which acts as a dehydrating reagent. Higher temperatures (350-380°C) favor the formation of alkenes, while lower temperatures (220-250°C) may lead to ether formation.

Biomolecules, Chemistry in Everyday Life and Environmental Chemistry · Easy

Q10. Which one of the following is an amine hormone?

Answer: A
Thyroxin is an amine hormone which is secreted by the thyroid gland.

Maths

Differentiation · Medium

Q11. Given that \( y = x \sin(x) \) is negative in the neighbourhood of \( -\frac{\pi}{6} \), what is the derivative \( \frac{dy}{dx} \)?

Answer: A
To differentiate \( y = x \sin(x) \), we apply the product rule: \( \frac{dy}{dx} = \sin(x) + x \cos(x) \). Given that \( y < 0 \) in the neighbourhood of \( -\frac{\pi}{6} \), we find the derivative at that point considering the signs of sine and cosine.

Differential Equations · Medium

Q12. What type of differential equation is said to be partial?

Answer: C
A differential equation is classified as partial if there are two or more independent variables involved in the equation. For example, the equation \( \frac{\partial z}{\partial x} + \frac{\partial z}{\partial y} = kz \) contains two independent variables, \( x \) and \( y \).

Fundamentals of Probability · Medium

Q13. The probability that the noted number is either 7 or 8 is

Answer: B
This problem involves multiple outcomes based on the result of a coin toss. The total outcomes for heads (rolling dice) and tails (picking cards) need to be calculated, factoring in the specific outcomes for 7 and 8. By calculating the probabilities for each outcome and combining them, we find that the probability of getting either 7 or 8 is \frac{193}{401}, so the correct answer is B: \frac{193}{401}.

Limits and Derivatives · Easy

Q14. What is the limit of \( \lim_{x \to 0} \frac{\sin(x)}{x} \)?

Answer: B
The limit \( \lim_{x \to 0} \frac{\sin(x)}{x} = 1 \) is a standard limit in calculus that can be proven using L'Hôpital's rule or the squeeze theorem.

Matrices · Medium

Q15. If a, b, c are positive real numbers and a + b + c = 1, what can we conclude from the equations derived from the matrix properties?

Answer: B
From the derived equations, we find that for positive real numbers a, b, and c, the condition a + b + c = 1 holds true. This is important in establishing the relationship between the elements of the matrix.

When a CEO's Private Life Reprices the AI Trade

Microsoft slipped past Nvidia on 10 November 2026 because Nvidia fell 6% on a board probe into whether Jensen Huang was the target of a foreign-intelligence operation — while Anthropic, the same day, put a $1.4 trillion price on itself. The AI trade, I believe, has become a governance story: key-person risk, espionage risk, and a vendor whose own filing says Claude writes over 90% of its code. My read is repricing, not repudiation. And one question went unasked.

Reuters reported on 11 November that Microsoft overtook Nvidia on Tuesday as the world's second-most valuable company, the first time since June 2025. Microsoft did not rally; its shares fell too. Nvidia fell more than 6%. The arithmetic, from Reuters (10 November) and Bloomberg's reading of the filing (11 November):

Figure	Value
Nvidia, Tuesday	down more than 6% (after 4.3% on Monday)
Two-session value loss	about $470 billion
Nvidia's lead over Microsoft, 6 Oct	$1.84 trillion
Anthropic, fully diluted	about $1.4 trillion
Anthropic run rate, 31 Oct	$81 billion
Code written by Claude	more than 90%

None of this is about a chip or a model. Nvidia's board opened an independent investigation on 8 November into whether chief executive Jensen Huang was the target of a foreign-intelligence effort; independent directors are running it, and the board says it has no reason to believe national security or company secrets were compromised. Huang has told employees he was unfaithful to his wife. No finding has been made.

What the market did with that is the real story. Bloomberg, via Yahoo Finance, reports that Huang has roughly 60 direct reports and no publicly identified successor after 33 years; he has said he does not believe in succession planning. Bernstein notes that it is not immediately clear who could step in.

I have praised Huang before — for telling Indian IT to hitch an AI ride to the front office (Hitching an AI Ride, 27 Oct 2024) and for asking India to export intelligence rather than back-office effort (Exporting AI Innovations, 25 Oct 2024). Good advice. I would only ask him to turn it inward: a company that cannot name a second person is one person's company, whatever its market capitalisation.

That same Tuesday, Anthropic filed terms for the largest AI listing yet — up to $90.4 billion raised, pricing on 18 November, trading on Nasdaq as ANT the next day (Bloomberg, 11 Nov). One line I read three times: more than 90% of contributions to its code base were written by Claude. Seven co-founders, each selling 3.38 million shares, run a company whose product writes the product.

So the AI trade has stopped being a technology story. It is a governance story: who replaces the key person, who can reach him, and who writes the code.

I am not alarmed, though. Fortune (10 Nov) reported the range implies $1.26–1.41 trillion, below the $2 trillion summer chatter. That is a market discovering discipline, not a bubble bursting. In December I wrote that AI is not one monolithic bubble, though parts of the ecosystem are overheated (Is AI a Bubble?, 24 Dec 2025). In March I borrowed TCS's phrase for a similar rout — a phase of "worry and anxiety" (Phase of Worry and Anxiety, 8 Mar 2026). This week is repricing, not repudiation.

But nobody asked today's obvious question: if 90% of the vendor's code is machine-written, which of its seven co-founders' titles survive the role catalogue? I built one in 2003 — a Designation Masters layer and a tool I called Desig. Splitter — because titles multiply faster than jobs (For a Headhunting Firm, 8 May 2026). Every AI company coming to market should publish one page: which titles a human holds, which a system holds, and who signs off when the two disagree. A small disclosure, and a better governance signal than any risk factor.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
11 Nov 2026

CPCB Concedes the Ceiling: 999 Was Never the Number

Thirty-six hours after this blog argued that Delhi's AQI was built on a hole, CPCB has confirmed the mechanism: readings above its 2015 calibration range of 0–1,000 µg/m³ are simply not used in the computation, and the validation methodology is under internal review. This sequel records what the board conceded, what it still owes — four specific fixes — and the two numbers that should end the argument: 91 of the world's 100 most polluted cities are Indian, and FICCI prices dirty air at $95 billion and 1.3 billion lost work days a year.

On 10 November, in “The Data Eclipse: Delhi's AQI Was Built on a Hole”, I said the blanks in the Diwali-night PM2.5 record were not dead sensors but an unexplained ceiling. I did not expect an answer within thirty-six hours. It came.

In an 11-point statement on X, reported by The Indian Economic Observer on 11 November, the Central Pollution Control Board has conceded the mechanism. The analysers deployed when the National Air Quality Index began in 2015 “were calibrated for a measurement range of 0–1,000 µg/m³”; automated validation therefore treats hourly readings beyond that range as “outside range”, and those readings “are not used in the computation”. Such hours, it adds, do not contribute to the station's 24-hour average.

A ministry source in the same report was blunter: “It is not that the data is missing. We have the data. However, that data is not used in the calculation.”

The concession is enough: those blanks were never failures. They were decisions.

The same source admitted the 2015 validation framework is outdated — instruments upgraded, methodology untouched, two or three scientists now reviewing it internally, no external expert group constituted the way one was in 2015. “This should have been revised two-three years ago,” he said.

My four asks stand where I left them:

• Publish a blank as ≥1,000, never as a null. Explaining a hole does not fill it.
• Time-stamp every revision, and leave the original bulletin standing. Not mentioned.
• Report an exposure index that does not stop at 500. CPCB says extrapolation “would not alter the assigned health impact category”. A worker at 3,700 and a cyclist at 400 share a category, not a risk.
• Write a station-siting rule. Silence.

The numbers have grown meanwhile. Amar Ujala reported on 11 November, citing aqi.in readings at 7 pm on Tuesday, that 91 of the world's 100 most polluted cities were Indian:

• Faridkot 605
• Bathinda 540
• Sri Ganganagar 535
• Sirsa 526
• Hisar 514

CPCB's own 4 pm bulletin that afternoon had Sri Ganganagar at 278, Sirsa at 322 and Hisar at 316. Two scales, one afternoon. The board calls that methodology, not under-reporting. I call it a reason to publish both.

And FICCI. NDTV reported on 11 November that its report with EY, “Clean Air, Healthy India”, prices dirty air at up to $95 billion a year — about 3% of GDP — with 1.3 billion working days lost and productivity falling 8–10% during bad periods. That is an employment figure, not an environmental one.

Except the trap inside it. If the ruler undercounts the peaks, it undercounts the cost. The economic case for clean air is being argued with a number that is too small.

I would rather CPCB's next statement carried four lines than a new committee. An internal review of a public instrument is not validation; it is housekeeping. Publish the lower bound, the time stamp, the number above 500, the siting rule. Then I will go back to writing about the air instead of the ruler.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
11 Nov 2026

AI Boomerang: The Jobs Came Back — With Better Terms

Qantas is cutting 850 Sydney roles and handing the work to Accenture, mostly in India, while calling it AI — though the union says its own employee FAQ admits no AI systems arrive on day one. In the same news cycle, surveys show the AI sacking reversing: about one in five replaced US workers were asked back, half of them demanding a raise. I hold both, because the announcement that is a tragedy in Sydney is a delivery-centre win in Chennai, and India is beneficiary and accused at once.

Vanessa Hudson's all-staff email this week contained a line her predecessors might have envied: "The scale and speed of change in this space is unprecedented and unlike anything businesses have seen in generations." She was explaining 850 corporate roles — finance, procurement, people, marketing — going to Accenture, "delivered mostly by its teams in India and some in Australia", first changes by mid-2027 (The Guardian, 10 November 2026; ABC News, same day). Qantas shares rose more than 6 per cent.

The Australian Services Union read the same papers differently. Its NSW secretary Angus McFarland told PS News that Qantas wants people "to believe this is about artificial intelligence and the future of aviation. But there's really nothing innovative about shipping Australian jobs overseas to cut costs." The union points to Qantas's own employee FAQ, which it says confirms the work moves mainly to India and that no new AI systems or AI agents arrive on day one. Qantas denies it gave any such assurance.

In April, in AI Layoffs: A Silver Lining, I wrote that firms "may simply be rebranding conventional cost cuts as 'AI-driven'". Sydney is the illustration.

But the same news cycle carried the other half. Le Figaro (10 November 2026) reported SHL's June–July 2026 survey and Robert Half's findings; CMSWire reported Gartner's survey of 275 service leaders:

• SHL: 19.1 per cent of surveyed US employees said they were replaced by AI and later asked back; 24 per cent of 18–24s; 51 per cent wanted a raise first.
• Robert Half: 32 per cent of managers whose firms cut roles for AI had to recreate the same or similar functions.
• Gartner: 21 per cent cut agent headcount, 7 per cent have rehired, 11 per cent plan to within 18 months — after just 4 per cent got the AI return they expected.

Challenger counted 121,401 AI-attributed US cuts in January–October 2026, more than double 2025 — a reprieve, not a retreat.

Even so, my reading is simple and a little uncomfortable: AI did not take the jobs. It took the job titles, then handed the work back under a new label, on a new contract, at a higher rate.

Which leaves India in the strangest seat. The announcement emptying desks in Sydney fills them in a Chennai delivery centre; in June 2014, in Bravo, Kshama Sawant!, I wrote that "jobs have a tendency to migrate to places where these can be performed cheapest". Eleven years on, India is beneficiary and accused in the same sentence — uncomfortable, when the company exporting this work took $2.7 billion in taxpayer subsidies (ABC News, 11 November 2026).

What I would suggest is modest. Label honestly: if the driver is cost, not automation, say so. Publish a rehire register, so firms disclose how many AI-replaced roles came back and at what pay. Put redeployment before redundancy, along the lines of the Co-operative Capacity Centres I proposed in July 2025. None of it is quick; all of it is cheaper than buying the same expertise back at a premium.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
11 November 2026

A Diwali of Many Small Payments: UPI's Volume-Value Split

NPCI's Diwali release was read as a volume record. The value line says something else: the average Diwali payment fell from about ₹1,270 to ₹982, and each additional transaction this year carried roughly ₹76. UPI has become how India pays small. I argue the next battleground is merchant credit, small-value rails and the economics of near-zero tickets — and I ask NPCI to publish an average ticket every month.

Tuesday evening's business pages led with the easy number: UPI volume on Diwali up 32 per cent. The NPCI release itself, as reported by The Hindu BusinessLine on 10 November 2026, carried a quieter figure beside it.

• 916.9 million UPI transactions on 8 November, against 695.7 million a year earlier
• ₹90,029.43 crore of value, against ₹88,350.79 crore
• 975.8 million transactions worth ₹1,36,118 crore on the day before Diwali
• 25.47 billion transactions worth ₹31.53 lakh crore through October, a monthly record

Now divide. Average ticket, my arithmetic on NPCI's own numbers:

Period	Volume	Value	Average ticket
Diwali, 8 Nov 2026	916.9 mn	₹90,029 cr	₹982
Diwali 2025	695.7 mn	₹88,351 cr	₹1,270
Day before Diwali, 7 Nov 2026	975.8 mn	₹1,36,118 cr	₹1,395
October 2026, full month	25.47 bn	₹31.53 lakh cr	₹1,238

So the average Diwali payment fell from about ₹1,270 to ₹982, a fifth lighter in a single year. The margin is starker still. The extra 221.2 million transactions carried, on average, roughly ₹76 each. Thirty-two per cent more taps for under two per cent more money.

I do not read that as a soft festival. I read it as a change of identity. UPI has stopped being the answer to "how does India pay" and become the answer to "how does India pay small".

I have watched this curve for years. In December 2019, writing about autos, tea stalls and a ₹7 cutting chai, I noted that the average UPI ticket had already halved from ₹3,902 in FY17 to ₹1,751 by FY20, and I called it good news. Seven years on, the same curve has arrived at Diwali.

In January 2017, in Cards Vs Mobile Wallets, I quoted Dewang Narella of Atom: "UPI is the SMTP of payments, and BHIM is only the shape of things to come." The line was his, not mine, and I have kept it because it keeps being right. Today the scoreboard reads ₹0.07 lakh crore in FY17 against roughly ₹314 lakh crore in FY26 — more than 4,000-fold — with Uzbekistan the newest of eleven countries accepting UPI, alongside Singapore, the UAE, France, Mauritius, Nepal, Bhutan, Qatar, Sri Lanka, Cambodia and Greece. But nobody bills per email. An SMTP of payments whose average message is ₹76 cannot be paid for by its messages.

Which is why I believe the next fight is not another record. It is merchant credit riding the same rail, the small-value UPI Lite X corridor NPCI unveiled at the 2023 Global Fintech Festival next to Credit Line on UPI (I wrote about that launch in Finally, BHIM V 10 seems to have arrived), and the plain unit economics of near-zero tickets. The ₹1,500 crore small-ticket incentive I wrote about in May 2025 was the first acknowledgement of that arithmetic. I would go one step further: let the incentive follow transactions rather than value, since that is where the growth now lives.

Dear NPCI, dear RBI: you have built the finest small-payment machine in the world. Will you now publish the average ticket with every monthly release, so we can see what the machine earns per message — before the messages become too cheap to count?

With regards,

Hemen Parekh

www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in

11 Nov 2026

The Job Title Becomes a Progress Bar: Cognizant's AI Role Catalogue

Hemen Parekh argues that Cognizant's new AI Builder Role Catalogue, which gives every designation three states, finally turns the job title into a measuring instrument — the same problem his 2003 ARDIS "Masters" layer and Designation Splitter were built for, and his 2017 re-skilling blueprint. He then proposes a national Role Catalogue: job family, role state and skills delta, hung off the National Employment Grid, so every Indian jobseeker can see where their designation is heading.

The sentence I keep re-reading from this morning's report is not about AI at all. It is about a catalogue. Cognizant's internal memo of 30 October, reviewed by Mint, says the "AI Builder Role Catalogue defines a set of job families and roles, and each role has three states that show how the same job changes as AI takes on more of the work."

Those three states are the interesting part. Current is the job you do today. Evolving is the same job with AI carrying more of it. Future is the one where you "orchestrate and govern AI-enabled work". The mapping already sits in MySkills, launched in September, and the company now wants the title in its systems to match the state in that map — first for associate directors and below in delivery teams across India, North America, Latin America, Asia Pacific, Japan and the Philippines.

What Cognizant has done, without quite saying so, is turn the designation into an instrument. A title that carries a state is no longer a label. It is a progress bar.

I built a small version of that in 2003. ARDIS's top layer, the "Masters", held controlled lists of industry, function, designation level, education and city, and a "Desig. Splitter" broke non-standard titles into standard parts. When I revisited it this May in For a Headhunting Firm: A design for Productivity, the annotation beside the Designation field was still asking "Actual Designation?", because job title proliferation had made cross-company comparison impossible.

Fourteen years later, in a July 2017 email on Re-Skilling Workshops, I set out the same exercise as a sequence: list the industries, list the jobs in each, list the skills each job needs, list which jobs will disappear and why, then list the new jobs — "giving clear trade-names / titles / designations" — and the skills they demand. Substitute AI for automation and you have a Role Catalogue.

The timing is not accidental. On 10 November, Cognizant announced a Claude Frontier Capability Group of more than 25,000 professionals, with 44,000 associates trained or certified on Claude and a Frontier Certified Engineer credential. A day later, the titles were being re-cut to match. Yet the memo is candid that pay, grades, reporting managers and performance processes stay exactly as they are. The title moves before the money does — and I would not read that as cynicism. No sensible firm should reprice a designation before the skills behind it are proven.

But a private catalogue stops at its own gate. If one company can publish one, India can publish a national one: every job family, its three states, and the skills delta between them, mapped to courses, ITIs, colleges and online providers. Hang it off the National Employment Grid I proposed in July 2025, and the same engine that alerts a jobseeker to a vacancy can also warn that their designation is heading for "evolving" within two years.

I would start with twenty job families, not two hundred, and publish quarterly. Implementation will take time, as it always does. But the format now exists, and it arrived in a competitor's memo.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
11 November 2026

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With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in

Sample Mock Test  NEET

15 questions · Physics, Chemistry, Biology · tap an option to check your answer

Physics

Thermal Properties of Matter · Easy

Q1. The average thermal energy for a monoatomic gas is (where, k_B is Boltzmann constant and T is absolute temperature.)

Answer: A
The average thermal energy of a system with degree of freedom f is given by \( \frac{f}{2} k_B T \). For a monoatomic gas, f = 3, thus the average thermal energy is \( \frac{3}{2} k_B T \).

Alternating Current (AC) · Medium

Q2. For a series LCR circuit, the power loss at resonance is?

Answer: C
In a series LCR circuit at resonance, capacitive reactance \(X_C = X_L\) which means \(\frac{1}{\omega C} = \omega L\). The total impedance is \(Z = R\) at resonance. Therefore, power loss is given by \(P = I^2 R = \frac{V^2}{Z^2} R = \frac{V^2}{R^2} R = \frac{V^2}{R}\). In this case, the correct answer is \(i R^2\).

Electrostatic Potential and Capacitance · Medium

Q3. A short electric dipole has a dipole moment of \( 1.6 \times 10^{-9} \) C-m. The electric potential due to the dipole at a point at a distance of 0.6 m from the centre of the dipole, situated on a line making an angle of 60° with the dipole axis is?

Answer: A
Given, electric dipole moment, p = \( 1.6 \times 10^{-9} \) C-m. Distance, r = 0.6 m. Angle, \( \theta = 60° \Rightarrow \cos(60°) = \frac{1}{2} \). Electric potential at a point which is at a distance r at some angle \( \theta \) from electric dipole is \( V = \frac{p}{4 \pi \epsilon_0 r^2} \cos(\theta) \). Substituting the values, \( V = \frac{(1.6 \times 10^{-9})}{4 \pi (8.85 \times 10^{-12}) (0.6)^2} \cdot \frac{1}{2} = 200 \) V. Hence, the correct option is (a).

Ray Optics and Optical Instruments · Medium

Q4. Find the value of the angle of emergence from the prism if the refractive index of the glass is 3.

Answer: A
Given the refractive index of the glass, n = 3. Using Snell's law at the air-glass interface, we find the angle of emergence to be 60°.

Wave Optics · Medium

Q5. For a parallel beam of monochromatic light of wavelength ‘λ’ diffraction is produced by a single slit whose width ‘a’ is of the order of the wavelength of the light. If ‘D’ is the distance of the screen from the slit, the width of the central maxima will be?

Answer: A
For the condition of maxima, \( sin \theta = \frac{λ}{a} \). From the geometry, \( sin \theta \approx \theta \) (for small angle), so \( Y = \frac{D}{a} \cdot λ \). Hence, the width of central maxima is \( 2Y = 2 \frac{D}{a} λ \).

Chemistry

d and f-Block Elements · Easy

Q6. Which one of the following characteristics of the transition metals is associated with their catalytic activity?

Answer: B
The catalytic activity of transitional metals is due to their variable oxidation states, allowing them to participate in different types of chemical reactions.

Atomic Structure · Medium

Q7. Which of the following is never true for cathode rays?

Answer: B
Cathode rays are not electromagnetic waves because they do not have electric and magnetic components perpendicular to each other.

Chemical Bonding and Molecular Structure · Medium

Q8. Mark the incorrect statement in the following:

Answer: B
The correct answer is (b) because when a diatomic molecule loses an electron, its bond order may increase or decrease, so its bond energy may also decrease or increase and is not guaranteed to always increase.

Solutions · Medium

Q9. The vapour pressure of benzene at a certain temperature is 640 mmHg. A non-volatile and non-electrolyte solid, weighing 2.175 g is added to 39.08 g of benzene. If the vapour pressure of the solution is 600 mm Hg, what is the molecular weight of solid substance?

Answer: C
According to Raoult’s law, \( \frac{p^\circ - p}{p^\circ} = \frac{m}{M} \) where \( p^\circ \) is the vapour pressure of pure benzene, \( p \) is the vapour pressure of the solution, \( m \) is the mass of solute, and \( M \) is the molecular weight of the solute. Using the values: \( p^\circ = 640 \text{ mmHg}, p = 600 \text{ mmHg}, m = 2.175 \text{ g}, W = 39.08 \text{ g} \), we find that the molecular weight of the solid substance is approximately 69.40 g/mol.

Purification and Characterisation of Organic Compounds · Medium

Q10. The best method for the separation of naphthalene and benzoic acid from their mixture is

Answer: D
The best method for separating naphthalene and benzoic acid is sublimation, as it applies to organic compounds that transition directly from solid to vapor on heating. Naphthalene is volatile while benzoic acid is non-volatile due to dimer formation via hydrogen bonding, making sublimation effective for this separation.

Biology

Molecular Basis of Inheritance · Medium

Q11. During DNA replication, the strands separate by

Answer: C
The enzyme helicase is responsible for unwinding the DNA helix, allowing the strands to separate during replication.

Human Health and Diseases · Medium

Q12. Identify the correct pair representing the causative agent of typhoid fever and the confirmatory test for typhoid.

Answer: C
Typhoid fever is caused by the bacterium Salmonella typhi and the Widal test is the confirmatory test for typhoid, which is based on antigen-antibody reaction. Typhoid fever or enteric fever has an incubation period of 1 to 2 weeks and it is usually transmitted through contaminated food and water.

Locomotion and Movement · Medium

Q13. Chronic autoimmune disorder affecting neuromuscular junction leading to fatigue, weakening and paralysis of skeletal muscle is called as?

Answer: C
Myasthenia gravis is defined as an autoimmune neuromuscular disorder that leads to fluctuating muscle weakness and fatigue. The cause of this disease is circulating antibodies that block acetylcholine receptors at the post-synaptic neuromuscular junctions. Other options are incorrect as muscular dystrophy is characterized by progressive degeneration of muscle fibers, gout is related to uric acid accumulation, and arthritis involves joint swelling and tenderness.

Microbes in Human Welfare · Easy

Q14. During sewage treatment, biogases are produced, which include:

Answer: A
Biogas produced during sewage treatment primarily consists of methane, hydrogen sulphide, and carbon dioxide. This mixture is mainly generated through the activity of bacteria called methanogens.

Principles of Inheritance and Variation · Hard

Q15. The most striking example of point mutation is found in a disease called?

Answer: D
Sickle-cell anaemia is an example of point mutation. It is a genetic disease reported from negroes due to a molecular mutation of gene Hb A on chromosome 11 which produces β-chain of adult haemoglobin. In this disease nucleotide triplet CTC is changed to CAC, these changes take place at a particular point of chromosome, so they are called as point mutation.

We Are Asia's Top Currency Because We Missed the AI Bus

The rupee is being praised as Asia's third-best performer this week, but the praise rests on what India does not have: a seat in the AI trade. I read the same numbers the other way. Being bought as a safe absence is a warning, not a win. This post names the reversal in my own earlier reading of the rupee, asks what would make the strength genuine — visible domestic compute and application capacity — and notes that RBI's forward book caps the upside anyway.

This morning's Economic Times front page (10 November 2026) stopped me mid-tea:

The rupee has turned out to be one of Asia's best-performing currencies in FY27 after India's emergence as a natural hedge against AI-heavy trades.

The numbers beneath it, from Bloomberg data via ET, same date:

• Rupee up 0.97% this fiscal year; Monday close ₹93.92/$, against 94.83 at the end of FY26
• Won up more than 11%, renminbi up 3.06%, Indonesian rupiah down 6.24%
• Record low ₹96.96 in late May, nearly revisited in October
• Crude almost a fifth below recent highs; foreign investors net buyers of ₹38,971 crore of equities last week

My first reaction was not pride. When the rupee touched 90.58 in December 2025 I wrote Rupee's Fall: A Wake-Up Call, and I meant what I said about a slide reaching into the cost of daily necessities. But my alarm has reversed rather than faded. Then I feared weakness because it advertised fragility; now I distrust the strength, because it advertises that the world has run out of places to hide.

Look at what HSBC actually said, as Business Standard reported it on 9 November 2026:

In an environment where investors are seeking to diversify away from concentrated AI exposure, India stands out for its market depth, domestic demand orientation and relatively resilient macro backdrop.

Away from. We are being bought as the absence of a trade, not the presence of an industry. Citi, in the same report, prices a 100 basis point rise in India's emerging-market weight at roughly $12 billion of inflows — a reweighting, not a capacity build.

The BBC reported today that about $250 billion came off Nvidia's market value on Monday, its shares down more than 4% over an espionage affair and a shareholder suit. One governance shock, a quarter of a trillion dollars: allocators want a hedge, and we are the hedge.

A capped hedge, too. ET reports the RBI intervened on Monday, and that its net short dollar forward book was $239 billion in September 2026; Emkay's Madhavi Arora expects it to rebuild reserves rather than allow sharp appreciation. Kotak's 92.50-92.75 call is a forecast, and a conditional one.

I would rather be bought for what we build. In Fuel India's AI mission (26 June 2025) I called compute the sine qua non for AI adoption nationwide, and welcomed 14,000 GPUs from ten firms. That number needs two more digits. Three things would help:

1. A monthly national compute ledger: GPU hours installed, allocated and idle, by state and sector.
2. A reserved share of government and PSU AI workloads on India-hosted compute, so demand builds supply here.
3. Indian-language AI applications funded and benchmarked as public infrastructure.

The RBI will cap the upside; only capacity can change its direction. A rupee at ₹93.92 because the world needs somewhere to hide is a hedge premium, not a vote of confidence. I would rather it were strong because the world needs what we make.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
10 November 2026

35-by-35 Is My 2022 Mission. India Should Sign — With Firm Power

At COP31 in Antalya the presidency is asking countries to back "35-by-35": electricity at 35 percent of global final energy use by 2035, up from about a fifth. That is the same mission I urged New Delhi to run in 2022. India, at 55 percent non-fossil installed capacity five years ahead of target, can sign it and deliver it — but only with a firm-power annex covering nuclear, storage and grid capital.

The sentence I have waited four years for arrived in Antalya on Monday. COP31 president Murat Kurum put a "35-by-35 Global Electrification Pledge" on the table — electricity's share of global energy consumption raised to 35 percent by 2035 (Xinhua, 9 November 2026). Türkiye has made it the centre of the presidency's Action Agenda (New Energy Weekly, 9 November 2026).

I have wanted that sentence since 1 April 2022, when ET reported a plan for "a mission to enhance electrical energy penetration from 17% to 27% within the next 10 years". I wrote about it that week in "Mission Possible ( Failure is not an Option )", asking only that we close the loose ends: a smart meter in every home, appliance-level data, carbon credits flowing back to households. The world has now written the same mission, with thirteen years instead of ten.

India's ledger has moved since then. ET reported on 10 November 2026 that we crossed 55% non-fossil installed capacity by September 2026 — our 2030 target, five years early. That makes us the one large economy that can sign 35-by-35 and then deliver it.

So I would sign. But I would attach a firm-power annex, not a signature alone. The arithmetic:

• The IEA's Electricity 2026 report expects India's electricity demand to grow about 6.4 percent a year to 2030 — over 570 TWh in five years.
• In the IEA's faster-electrification scenario, fuel importers would spend more than $400 billion less on energy imports in 2035 than in 2025 (New Energy Weekly, 9 November 2026).
• Euronews, 9 November 2026, reporting Climate Action Tracker: current policies reach only 28 percent by 2035. Electrification must move four times faster.

That $400 billion is the rupee argument, the inflation argument and the climate argument in one figure. Simon Stiell's line at the opening plenary — that this year's fossil price shock is "spreading inflation like a cancer" — is not rhetoric. It is our household budget.

The fight over what counts as clean is already live. Germany's delegation head Heike Henn says joining requires the pledge's 1.5°C link to be "a clear path forward", and Berlin wants the extra power to be renewable; the EU has so far backed only "clean electrification" (Clean Energy Wire, 9 November 2026). Yet the text itself asks for "diverse and sustainable energy sources" and does not require low-carbon supply. That gap is exactly where India should stand.

My annex would carry three things:

1. Named firm capacity — nuclear, pumped hydro, battery storage — as a line item with dates, not an aspiration.
2. A grid capex number, because no data centre or induction stove ever connected to a promise.
3. Progress measured through the India Energy Stack, from meters rather than submissions — the architecture I described in "Electrifying India Energy Stack" (March 2026).

In Antalya, India also spoke for the Like Minded Developing Countries and "regretted" that trebling adaptation finance stayed off the agenda (ET, 10 November 2026). A firm-power annex priced in concessional finance answers both complaints at once.

Antalya may not adopt even this voluntary pledge by 20 November. But if it does, India should be first to sign — and first to ask what firm power signs with us.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
10 Nov 2026