Wednesday, June 24, 2026

After the ceasefire: Why the uncertainty does not end here

Tuesday, June 23, 2026

Who will teach the next generation?

Every week, a new wave of articles warns us that AI is killing jobs. The argument is always the same: automation replaces human work, and workers lose. It is a tidy story. It may also be the wrong one.

The real problem may be quieter, slower, and more damaging. AI is not destroying jobs. It is destroying the willingness of organizations to grow people. And that distinction matters enormously — for firms, for the economy, and especially for anyone entering the workforce today.

The Jevons Paradox is not the point

Most commentators reach for the Jevons Paradox when discussing AI and jobs. Jevons observed in the nineteenth century that more efficient steam engines led to more coal use, not less — because efficiency unlocked demand. Applied to AI: if AI makes workers more productive, we will want more output, not fewer workers.

That is a reasonable argument in some contexts. But it sidesteps the real question. This is not a story about wanting more output. This is a story about who would pay to grow people — and right now, the answer is: nobody.

The training problem nobody wants to own

Here is the economic reality that most commentators might be missing. Training a junior employee is expensive. It takes senior time, patience, and a long horizon. The company that invests in training a twenty-two-year-old today may collect the benefit in seven years — long after the person who did the training has moved on, and long after the manager who approved the budget has left for another firm.

AI changes this calculus sharply. With AI tools, a small team of experienced people can produce what used to require ten. The temptation to stop hiring and training juniors is not irrational — it is the logical response to short-term incentives. Every individual manager, evaluated on this quarter’s output, makes the same rational choice. Stop building the bench. Use the tools. Ship faster.

The result is a collective action problem. Every firm does what makes sense for them individually, and the system as a whole would stop producing the experienced mid-level talent it will need in a decade.

A few firms will win big — Later

There is an investment angle here worth watching. A small number of firms with genuinely long-time horizons will continue to train juniors, precisely because everyone else has stopped.

In five to seven years, when the hollowing out becomes visible, experienced mid-career professionals will be scarce. You can poach a few senior people. You cannot manufacture an entire generation of capable thirty-year-olds who simply were never trained. The firms that built bench strength quietly during the AI adoption frenzy will collect a meaningful scarcity premium. The firms that cut training entirely will find themselves unable to grow — not because they lack capital or technology, but because they lack people who know how to do things.

This is not speculative. It is a predictable consequence of the incentive structure described above. The only uncertainty is timing.

 So, what should a young person do?

If the market has stopped training you, the question becomes: how do you train yourself? And here, of all places, the Bhagavad Gita offers the clearest answer available.

Chapter 4, verse 34:

तद्विद्धि प्रणिपातेन परिप्रश्नेन सेवया |

उपदेक्ष्यन्ति ते ज्ञानं ज्ञानिनस्तत्वदर्शिन: ||

 

Seek this knowledge through humble surrender, sincere inquiry,

and devoted service — the wise who have seen the truth will teach you.

Shankaracharya, in his commentary on this verse, is precise about what each word means. He is not offering a general sentiment about being a good student. He is describing a method.

The three-part method

Pranipata — prostration. Not the performance of humility, but the actual thing. Approaching someone who knows more than you without the armor of your credentials, your opinions, or your need to appear capable. This is harder than it sounds, especially for people who are technically skilled and used to being the smartest person in the room.

Pariprasna — inquiry. Not asking surface questions to seem curious. Asking the real ones: Why did you make that call? What were you wrong about? What does this look like when it goes badly? These are the questions that extract genuine knowledge rather than polished answers.

Seva — service. Making yourself genuinely useful to the person you are learning from. Not networking. Not managing up. Actually doing work that helps them, so that the relationship is built on something real.

Those three words describe the entire apprenticeship model. And it is precisely this model that is being dismantled by the current AI adoption cycle.

Jnani versus Tattva-Darshi

The sharpest line in Shankara’s commentary is a distinction he draws between two kinds of knowers.

The jnani is the person who is learned, credentialled, fluent, and well-read. In today’s terms: someone who can produce polished output on any topic, speak confidently in meetings, and appear competent across every domain.

The tattva-darshi is different. Shankara says the word means one who has seen the truth. Not read about it. Not synthesized it from other sources. Seen it — through direct experience, through having done the work long enough to understand where it actually breaks.

His point is direct: knowledge imparted by those who have seen the truth takes effect. Knowledge from the merely learned does not, or not in the same way.

This is the whole game now. AI will make everyone look like a jnani. Fluent, articulate, able to produce output on anything within seconds. What AI cannot manufacture is the tattva-darshi: the person who has done the work long enough to know when the confident answer is wrong, to make a sound call on incomplete information, to see the thing beneath the surface that the tool cannot access.

The practical implication

For young people entering the workforce, the advice follows directly from the analysis.

Do not optimize your first job for title or brand name. Optimize it for how fast you get good — which means: how close you are to people who have actually seen the truth in your field.

A well-known firm where you spend three years producing AI-assisted output with minimal senior exposure will leave you fluent and shallow. A less prestigious role where you sit next to someone who has been doing this for twenty years, who makes real decisions and lets you watch — that will make you rare.

Approach those people through pranipata, pariprasna, and seva. Stay low. Ask the real questions. Earn your place by being useful. This is not advice about networking or impression management. It is a description of how knowledge actually transfers between people.

The market is quietly eliminating the apprenticeship. Your job is to find one anyway.

(This piece is mostly based on a post written by a dear friend, who is a great exponent of Shrimad Bhagwat Gita, and regularly delivers talks on Gita.)

 



Thursday, June 18, 2026

Modi @ 12: The unfinished agenda of India’s development

Wednesday, June 17, 2026

FCNR(B) – What does this domino effect mean for banks

(Continuing from yesterday…see here)

Tuesday, June 16, 2026

How the Indian financial sector is navigating a perfect storm

In the financial sector, structural problems have a way of announcing themselves quietly, through incremental data, technical jargon, and central bank circulars buried in the weekend briefing. Then, one day, the accumulated weight of those problems demands a policy response that is anything but quiet. India’s banking sector appears to be at exactly such an inflection point.

Thursday, June 11, 2026

Hope Fading, Prices Rising

The Reserve Bank of India (RBI) recently released the results of its latest forward-looking surveys (May 2026 Round). Based on the feedback received from respondents, the survey results provide important insights with respect to consumer confidence — both urban and rural — inflationary expectations and economic growth expectations from professional forecasters.

Urban Consumer Confidence – A third successive decline

Consumer confidence for the current period declined for the third successive round, with the Current Situation Index (CSI) falling sharply to 90.7 from 95.7 in the previous round. A value below 100 indicates a state of pessimism, and on this measure, urban households are now firmly in negative territory on their assessment of present conditions.

The deterioration is broad-based. Perceptions on the general economic situation worsened considerably — the net response on economic conditions fell by 7.9 points to -16.5, as nearly 48% of respondents felt conditions had worsened compared to a year ago. Sentiment on employment also deteriorated sharply, with the net response on employment falling to -14.4 from -9.1 in the March 2026 round. Income perceptions barely stayed positive, with a net response of just 0.9.


The forward-looking Future Expectations Index (FEI) also weakened, dropping 1.5 points to 118.7 — the lowest reading since September 2023. While the index remains in optimistic territory (above 100), the trajectory is concerning. Households have revised down their expectations on economic situation, employment, income and spending across both time horizons. The waning of confidence is primarily driven by ebbed sentiment on discretionary expenditure, with non-essential spending expectations falling sharply: the net response on future non-essential spending collapsed to 15.9 from 21.1 in the previous round.

 ​



Rural Consumer Confidence – Similarly Strained

Rural confidence tells a similar story. The Current Situation Index (CSI) for rural households fell further to 95.2, declining for the second successive round from a recent peak of 100.9 in September 2025 — a fall of nearly 6 points over three survey rounds. Current perceptions on the economic situation moved into negative territory (net response of -2.5), and employment sentiment also turned negative (-1.2). Income perceptions remain weak at -5.8.


The Future Expectations Index (FEI) for rural households fell sharply to 119.3 from 125.1 in March 2026, with worsening conditions across all parameters except prices. Forward expectations on income fell to a net response of 38.9, down from 45.7. Spending expectations also softened notably, with non-essential spending expectations falling to a net response of just 42.6, from 59.5 in the previous round — a significant pullback suggesting rural households are tightening their belt.​


 

Household Inflation Expectations – Rising Sharply

Urban households’ current median inflation perception jumped by 60 basis points (bps) to 7.8% compared to the previous round. Inflation expectations for the next three months and one year both edged up by 80 bps and 50 bps respectively, reaching 9.3% for both horizons. The proportion of respondents anticipating higher prices inched up across all product categories, with food products, non-food products and housing all seeing increased price pressure expectations.

The rural picture is consistent. Median inflation perception among rural households rose by 30 bps to 5.9%, and one-year-ahead inflation expectations climbed 40 bps to 7.2%. Across age and occupation groups, the upward drift in inflation expectations is widespread — particularly notable among retired persons, who now expect inflation of 8.6% over the next year.

Professional Forecasters – GDP revised down, inflation revised up

GDP: Real GDP is now expected to grow at 6.5% in FY27, revised down by 40 bps from the previous round. For FY28, the forecast stands at 6.9%, modestly lower by 10 bps. Forecasters have assigned the highest probability to GDP growth in the 6.5-6.9% range for FY27, while for FY28, the modal outcome is also the same band. Annual growth in real PFCE and GFCF for FY27 are expected at 6.8% and 6.5% respectively, with GFCF revised down by 60 bps — a signal of tempered capital formation expectations.

Real GVA growth for FY27 is pegged at 6.6%, with services (7.7%) and industry (6.8%) doing the heavy lifting, while agriculture is expected to contribute a modest 2.4%.

Inflation: This is where the story turns uncomfortable. Annual headline CPI inflation is expected at 4.9% for FY27 and 4.5% for FY28. The quarterly path, however, reveals a more concerning picture: CPI is forecast at 4.0% in Q1 FY27, rising to 4.9% in Q2, accelerating to 5.5% in Q3, and easing only marginally to 5.2% in Q4. Core CPI (excluding food and fuel) is expected to rise from 3.9% in Q1 to between 4.4-4.7% through the rest of the year.

WPI inflation forecasts have been revised up sharply. WPI All Commodities is projected at 8.9% in Q1 FY27, 9.0% in Q2, before moderating to 7.9% in Q3 and 6.5% in Q4.

External Sector: Merchandise exports are expected to grow 5.0% in FY27 and 4.7% in FY28 in US dollar terms. Imports, however, are forecast to grow much faster at 10.5% in FY27, before normalizing to 4.6% in FY28. This asymmetry pushes the current account deficit (CAD) to 2.1% of GDP in FY27 — a significant deterioration of 60 bps from the previous round’s estimate — narrowing to 1.2% in FY28. The median USD/INR rate is pegged at around 95.4-96.6 across the quarters of FY27, with crude oil (Indian basket) expected in the $85-105/barrel range across quarters.

The takeaway

Taken together, the May 2026 round of RBI’s surveys paints a picture of an economy that is growing at a reasonable but moderating pace, against a backdrop of rising inflation pressures and rapidly eroding consumer confidence — across both urban and rural India.

The triple squeeze is hard to miss: households feel worse off today than a year ago, they expect prices to be significantly higher a year from now, and they are pulling back on discretionary spending. Professional forecasters have simultaneously marked down growth and marked up inflation. The widening CAD and sharp upward revision in WPI forecasts add to the headwinds.

Hope was the dominant sentiment in previous survey rounds. In this one, it is fading. The optimism that characterized forward expectations — buoyant FEI readings, resilient income outlook, strong discretionary spending intentions — is giving way to something more sober. If the quarterly CPI trajectory plays out as forecast, with inflation touching 5.5% in Q3 FY27, the RBI will face an uncomfortable policy tradeoff, even as growth edges lower.

For investors, the signposts are clear enough: demand recovery may disappoint consensus, margin pressures from higher input costs are likely to persist, and the consumer staples vs discretionary divide may widen further. The surveys may not move markets directly, but they sharpen the lens through which to read the earnings season ahead.