New Cervical Cancer Drug: SHetA2
What it is: SHetA2 is an oral (pill-based) small-molecule therapy currently in early development.
How it works: It does not prevent HPV infection. Instead, it targets specific human proteins that shield the virus's cancer-causing proteins (E6 and E7). By switching off these human proteins, the drug prevents HPV from developing into precancerous lesions and full-blown cervical cancer, even if a persistent infection is already present.
Development Stage: The molecule was discovered by a US institute and partnered with the Indian Council of Medical Research (ICMR) for preclinical studies. The technology has now been transferred to a company (Mure) to begin human trials (Phases 1-3).
Timeline & Cost: The drug is at least 5 years away from being available in India, pending successful trials. However, because it is a small molecule, it is easy and cheap to manufacture, meaning it will likely be affordable and help lower overall cervical cancer treatment costs.
Prevention vs. Treatment:
The HPV vaccine remains the primary prevention tool (given to children before sexual activity to stop the infection entirely).
Diagnostic tests (Pap smear, VIA with acetic acid) remain essential for early detection.
SHetA2 would serve as a third-level intervention—used after detection, to treat and halt the progression of the disease.
What it is: SHetA2 is an oral (pill-based) small-molecule therapy currently in early development.
How it works: It does not prevent HPV infection. Instead, it targets specific human proteins that shield the virus's cancer-causing proteins (E6 and E7). By switching off these human proteins, the drug prevents HPV from developing into precancerous lesions and full-blown cervical cancer, even if a persistent infection is already present.
Development Stage: The molecule was discovered by a US institute and partnered with the Indian Council of Medical Research (ICMR) for preclinical studies. The technology has now been transferred to a company (Mure) to begin human trials (Phases 1-3).
Timeline & Cost: The drug is at least 5 years away from being available in India, pending successful trials. However, because it is a small molecule, it is easy and cheap to manufacture, meaning it will likely be affordable and help lower overall cervical cancer treatment costs.
Prevention vs. Treatment:
The HPV vaccine remains the primary prevention tool (given to children before sexual activity to stop the infection entirely).
Diagnostic tests (Pap smear, VIA with acetic acid) remain essential for early detection.
SHetA2 would serve as a third-level intervention—used after detection, to treat and halt the progression of the disease.
Late-Stage Abortion & Bodily Autonomy
Legal Framework: Abortions are allowed up to 24 weeks under the MTP Act. Beyond that, a medical board is required, and if the deadline passes, patients must approach the courts—a slow and difficult process.
The 15-Year-Old Rape Survivor's Case: The Supreme Court allowed a 15-year-old sexual assault survivor to terminate a 30-week pregnancy, prioritizing her bodily autonomy. AIIMS and the government strongly opposed this, filing multiple petitions (review and curative) arguing that the fetus was viable and could be given up for adoption.
AIIMS's Reluctance: AIIMS has increasingly used the term "feticide" and asked courts for specific directions to stop fetal heartbeat—an unusual and troubling shift in India's legal discourse.
State Overreach: The Supreme Court rejected the state's "parens patriae" (guardian) argument, stating that a rape survivor's mental trauma and personal choice outweigh the state's interest in preserving a viable fetus. The court emphasized that bodily autonomy is not for the state to dictate.
Wider Trend: In another case, RML Hospital counseled a woman on raising a disabled child instead of assessing termination risks—forcing the court to intervene. The episode concludes that India's colonial-era abortion law criminalizes miscarriage and fails to center women's reproductive agency.
Legal Framework: Abortions are allowed up to 24 weeks under the MTP Act. Beyond that, a medical board is required, and if the deadline passes, patients must approach the courts—a slow and difficult process.
The 15-Year-Old Rape Survivor's Case: The Supreme Court allowed a 15-year-old sexual assault survivor to terminate a 30-week pregnancy, prioritizing her bodily autonomy. AIIMS and the government strongly opposed this, filing multiple petitions (review and curative) arguing that the fetus was viable and could be given up for adoption.
AIIMS's Reluctance: AIIMS has increasingly used the term "feticide" and asked courts for specific directions to stop fetal heartbeat—an unusual and troubling shift in India's legal discourse.
State Overreach: The Supreme Court rejected the state's "parens patriae" (guardian) argument, stating that a rape survivor's mental trauma and personal choice outweigh the state's interest in preserving a viable fetus. The court emphasized that bodily autonomy is not for the state to dictate.
Wider Trend: In another case, RML Hospital counseled a woman on raising a disabled child instead of assessing termination risks—forcing the court to intervene. The episode concludes that India's colonial-era abortion law criminalizes miscarriage and fails to center women's reproductive agency.
### 2. Rising Nighttime Temperatures & Health Risks
- The Problem: While heatwaves are usually discussed in terms of peak daytime temperatures, experts are increasingly concerned about rising nighttime temperatures, which are now increasing faster than daytime temperatures due to climate change. Historically, cooler nights (25–26°C) allowed the body to recover from daytime heat exposure; now nights are inching toward 28–33°C, offering no physiological relief and creating sustained heat stress on the body.
- Indoor Heat Exposure: Staying indoors is no longer a safe solution, especially for low-income households in cramped, poorly ventilated, non-AC homes. A Chennai study found nighttime indoor temperatures exceeding 32–35°C, meaning people are exposed to constant heat even while sleeping.
- Urban Heat Island Effect: Cities are 2–4°C hotter than outskirts due to concrete, asphalt, glass, and metals that absorb heat by day and radiate it at night. Air conditioners expel hot air outside, adding to the heat. Lack of trees, green spaces, and water bodies worsens the effect.
- Ahmedabad Mortality Data (Dr. Dileep Mavalankar): On days when daytime temps exceeded 45°C:
- Night < 28°C → Normal deaths (~100/day)
- Night 28–30°C → Deaths rose to 165/day
- Night > 30°C → Deaths jumped to 265/day
This shows a strong correlation between high nighttime temperatures and all-cause mortality.
- Solutions: Heat action plans (cool water access, shade, timing changes for schools/offices, restricting construction during peak hours), urban redesign (more trees, green spaces, water bodies), and low-tech interventions to mitigate local temperatures.
- The Problem: While heatwaves are usually discussed in terms of peak daytime temperatures, experts are increasingly concerned about rising nighttime temperatures, which are now increasing faster than daytime temperatures due to climate change. Historically, cooler nights (25–26°C) allowed the body to recover from daytime heat exposure; now nights are inching toward 28–33°C, offering no physiological relief and creating sustained heat stress on the body.
- Indoor Heat Exposure: Staying indoors is no longer a safe solution, especially for low-income households in cramped, poorly ventilated, non-AC homes. A Chennai study found nighttime indoor temperatures exceeding 32–35°C, meaning people are exposed to constant heat even while sleeping.
- Urban Heat Island Effect: Cities are 2–4°C hotter than outskirts due to concrete, asphalt, glass, and metals that absorb heat by day and radiate it at night. Air conditioners expel hot air outside, adding to the heat. Lack of trees, green spaces, and water bodies worsens the effect.
- Ahmedabad Mortality Data (Dr. Dileep Mavalankar): On days when daytime temps exceeded 45°C:
- Night < 28°C → Normal deaths (~100/day)
- Night 28–30°C → Deaths rose to 165/day
- Night > 30°C → Deaths jumped to 265/day
This shows a strong correlation between high nighttime temperatures and all-cause mortality.
- Solutions: Heat action plans (cool water access, shade, timing changes for schools/offices, restricting construction during peak hours), urban redesign (more trees, green spaces, water bodies), and low-tech interventions to mitigate local temperatures.
A new review in Cell Press Blue (analyzing 350+ studies) challenges the current protein-centric dietary trend. It argues that low-protein diets (protein restriction/PR) promote metabolic health and extend lifespan across organisms—a concept rooted in 1935 research on calorie restriction. Key mechanisms include elevated FGF21 hormone (induced by nutritional stress) and enhanced autophagy (cellular repair). While acknowledging that certain groups (pregnant women, children, injured individuals) need higher protein, the researchers note that most sedentary people consume more protein than necessary, which may have negative health effects. The article calls for personalized dietary approaches and further research, concluding that the debate over optimal protein intake remains unresolved.
Here is a summary of the podcast episode:
---
Episode Summary: "Three Things" by The Indian Express
This episode covers three major topics:
---
1. Government Proposes Fee on UPI & RuPay Debit Card Transactions
The government has introduced the *Taxation and Other Laws Amendment Bill 2026*, which may allow banks and payment providers to charge merchants a fee (MDR) for certain UPI and RuPay debit card transactions.
Key details:
- Current scale: UPI transactions reached ~24,000 crore in FY26 (66 crore/day), worth ₹314 lakh crore, growing 25–30% annually.
- Infrastructure costs: The payment ecosystem involves app development, cloud storage, regulatory compliance, cybersecurity, and switching services. Each transaction costs an estimated 0.3–0.5% of value.
- Government subsidy: Between FY22–FY25, the government provided ₹8,730 crore in subsidies, which covered only 11% of total costs (estimated ₹80,000 crore over 4 years).
- Proposed fee structure:
- Only person-to-merchant (P2M) transactions would be affected (not P2P transfers).
- Threshold: likely only merchants with annual turnover above ₹50 crore would pay MDR.
- Transaction size: only payments above ₹2,000 may attract fees (these are just 4% of transactions by count but account for 67% by value).
- MDR rate could range from 0.3–0.6% (for ₹50 crore+ merchants) or 0.05–0.07% (if threshold is lowered to ₹1–1.5 crore).
- Consumer impact: Merchants may pass on costs to customers, though big retailers' behavior will likely set the trend for smaller shops. Current card surcharges (e.g., 2% for credit cards) already exist in practice.
---
2. Property Scam: Fake Auction of Delhi's Prestigious Amrita Shergill Marg Bungalow
A man named Mohit Gogia orchestrated a large-scale real estate fraud, targeting wealthy buyers with forged bank documents.
The scam:
- Gogia claimed that House No. 9, Amrita Shergill Marg (market value ~₹200 crore) was being auctioned by SBI as an NPA, and offered it for ₹75 crore.
- He showed forged SBI documents, receipts, and even sent pictures of property keys to build trust.
- Sunakshi Bansal (director of Black Tick Realty, daughter of Unity Group co-founder) paid ₹50 crore but never got the property.
- Gogia used a "Ponzi-like" model—paying off earlier victims with money from newer ones.
- He had 13 prior FIRs against him for similar scams, and this was the 14th.
Modus operandi:
- Posed as an authorized auctioneer under the SARFAESI Act.
- Used fake bank SMS alerts, forged documents, and even security guards at properties to validate his claims.
- Targeted luxury properties (DLF Magnolias, Gurugram land parcels, etc.) and even sold second-hand luxury cars.
Accomplices:
- Ram Singh (alleged mastermind) provided bank accounts for money laundering; 60% of proceeds went to him, 40% to Gogia.
- Five others arrested, including document forgers and introducers.
- Ram Singh is out on anticipatory bail but is being pursued by police and ED.
---
3. Air India Incident Update: Pilot Tested Positive for Marijuana
On August 4, an Air India flight (Phuket–Delhi) suddenly lost ~300 feet of altitude, injuring 17 passengers and 4 crew members.
Key developments:
- Initially attributed to severe turbulence, it is now being investigated as a serious incident by the Aircraft Accident Investigation Bureau (AAIB).
- The pilot-in-command's confirmatory drug test has come back positive for marijuana (initial screening was non-negative).
- The aircraft experienced multiple hydraulic system warnings; pilots reportedly took manual control, which may have caused the altitude drop.
- Weather factors are not yet ruled out.
- Flight data recorder and cockpit voice recorder have been secured for analysis.
- Air India CEO Campbell Wilson met with ministry officials to provide an investigation update, not as a questioning.
-—
---
Episode Summary: "Three Things" by The Indian Express
This episode covers three major topics:
---
1. Government Proposes Fee on UPI & RuPay Debit Card Transactions
The government has introduced the *Taxation and Other Laws Amendment Bill 2026*, which may allow banks and payment providers to charge merchants a fee (MDR) for certain UPI and RuPay debit card transactions.
Key details:
- Current scale: UPI transactions reached ~24,000 crore in FY26 (66 crore/day), worth ₹314 lakh crore, growing 25–30% annually.
- Infrastructure costs: The payment ecosystem involves app development, cloud storage, regulatory compliance, cybersecurity, and switching services. Each transaction costs an estimated 0.3–0.5% of value.
- Government subsidy: Between FY22–FY25, the government provided ₹8,730 crore in subsidies, which covered only 11% of total costs (estimated ₹80,000 crore over 4 years).
- Proposed fee structure:
- Only person-to-merchant (P2M) transactions would be affected (not P2P transfers).
- Threshold: likely only merchants with annual turnover above ₹50 crore would pay MDR.
- Transaction size: only payments above ₹2,000 may attract fees (these are just 4% of transactions by count but account for 67% by value).
- MDR rate could range from 0.3–0.6% (for ₹50 crore+ merchants) or 0.05–0.07% (if threshold is lowered to ₹1–1.5 crore).
- Consumer impact: Merchants may pass on costs to customers, though big retailers' behavior will likely set the trend for smaller shops. Current card surcharges (e.g., 2% for credit cards) already exist in practice.
---
2. Property Scam: Fake Auction of Delhi's Prestigious Amrita Shergill Marg Bungalow
A man named Mohit Gogia orchestrated a large-scale real estate fraud, targeting wealthy buyers with forged bank documents.
The scam:
- Gogia claimed that House No. 9, Amrita Shergill Marg (market value ~₹200 crore) was being auctioned by SBI as an NPA, and offered it for ₹75 crore.
- He showed forged SBI documents, receipts, and even sent pictures of property keys to build trust.
- Sunakshi Bansal (director of Black Tick Realty, daughter of Unity Group co-founder) paid ₹50 crore but never got the property.
- Gogia used a "Ponzi-like" model—paying off earlier victims with money from newer ones.
- He had 13 prior FIRs against him for similar scams, and this was the 14th.
Modus operandi:
- Posed as an authorized auctioneer under the SARFAESI Act.
- Used fake bank SMS alerts, forged documents, and even security guards at properties to validate his claims.
- Targeted luxury properties (DLF Magnolias, Gurugram land parcels, etc.) and even sold second-hand luxury cars.
Accomplices:
- Ram Singh (alleged mastermind) provided bank accounts for money laundering; 60% of proceeds went to him, 40% to Gogia.
- Five others arrested, including document forgers and introducers.
- Ram Singh is out on anticipatory bail but is being pursued by police and ED.
---
3. Air India Incident Update: Pilot Tested Positive for Marijuana
On August 4, an Air India flight (Phuket–Delhi) suddenly lost ~300 feet of altitude, injuring 17 passengers and 4 crew members.
Key developments:
- Initially attributed to severe turbulence, it is now being investigated as a serious incident by the Aircraft Accident Investigation Bureau (AAIB).
- The pilot-in-command's confirmatory drug test has come back positive for marijuana (initial screening was non-negative).
- The aircraft experienced multiple hydraulic system warnings; pilots reportedly took manual control, which may have caused the altitude drop.
- Weather factors are not yet ruled out.
- Flight data recorder and cockpit voice recorder have been secured for analysis.
- Air India CEO Campbell Wilson met with ministry officials to provide an investigation update, not as a questioning.
-—
Core takeaway
The episode argues that AI is not simply “destroying the jobs most exposed to it.” Instead, it is reshaping where companies hire, where they cut costs, and what skills they value.
Key points
- India looks highly exposed to AI because its huge IT sector is built around software, engineering and other knowledge work.
- Yet the evidence so far is more nuanced than “AI = tech job losses.”
- A Blind survey of 1,500+ Indian professionals found 66% of AI/ML workers expected layoffs or major headcount cuts in their teams within 3–6 months.
- But only 24% of engineers expected such cuts — the lowest among the surveyed functions.
- An ICE study of 651 Indian IT firms found an apparent paradox:
- Jobs with high AI exposure — software developers, app developers, database designers, statisticians — were also among those with strong demand growth.
- Software/engineering teams saw relatively little reduction in employment.
- Entry-level workers faced particularly strong pressure.
What is actually changing?
AI is making individual workers more productive rather than immediately replacing entire occupations.
The ICE study found:
- 38% of AI-affected business functions reported smaller teams producing more output.
- Productivity gains outnumbered productivity declines by 3.5:1.
- For software development/engineering, the ratio was 3.7:1.
Companies can use that productivity gain in different ways:
Therefore, a job can become highly exposed to AI while demand for people doing that job remains strong.
The biggest shift is toward specialised talent
India's overall IT hiring was slowing, but AI hiring was accelerating:
- AI hiring in India's IT sector: +16% YoY
- Overall IT recruitment: −3%
- AI/ML jobs across 14 sectors: +25%
- AI-related postings as a share of listings: 2.9% → 6.5% between Jan 2023 and Mar 2025.
- Demand for AI skills grew 75% faster than demand for other roles.
The demand is increasingly for specialised and senior technical talent, rather than generic entry-level programming.
Who is actually being squeezed?
Interestingly, some less AI-exposed functions are seeing weaker demand.
Area AI exposure What is happening
Statisticians / mathematicians 3.86/5 High exposure + strong demand
App developers 3.39 High exposure + strong demand
Database designers 3.32 High exposure + strong demand
Software developers/analysts 3.18 High exposure + strong demand
Finance ~2.75 Lower exposure
Legal 2.35 Low exposure + declining demand
HR 2.34 Low exposure + declining demand
Among tasks reportedly being reduced because of AI:
1. Data entry / clerical / back-office processing — 32%
2. Manual software testing / QA — 15%
3. Entry-level programming — 13%
Profit centres vs cost centres
This is arguably the most important explanation in the episode.
Companies tend to protect technical teams that directly generate revenue while cutting functions viewed primarily as cost centres.
So AI-driven productivity may result in:
Software engineering:
AI → higher productivity → more products/revenue → continued hiring of capable engineers
Support functions:
AI → higher productivity → same workload with fewer people → headcount reduction
This explains why engineering can be highly AI-exposed but still have strong demand, while HR/legal/R&D/QA-type functions can face greater pressure.
The episode argues that AI is not simply “destroying the jobs most exposed to it.” Instead, it is reshaping where companies hire, where they cut costs, and what skills they value.
Key points
- India looks highly exposed to AI because its huge IT sector is built around software, engineering and other knowledge work.
- Yet the evidence so far is more nuanced than “AI = tech job losses.”
- A Blind survey of 1,500+ Indian professionals found 66% of AI/ML workers expected layoffs or major headcount cuts in their teams within 3–6 months.
- But only 24% of engineers expected such cuts — the lowest among the surveyed functions.
- An ICE study of 651 Indian IT firms found an apparent paradox:
- Jobs with high AI exposure — software developers, app developers, database designers, statisticians — were also among those with strong demand growth.
- Software/engineering teams saw relatively little reduction in employment.
- Entry-level workers faced particularly strong pressure.
What is actually changing?
AI is making individual workers more productive rather than immediately replacing entire occupations.
The ICE study found:
- 38% of AI-affected business functions reported smaller teams producing more output.
- Productivity gains outnumbered productivity declines by 3.5:1.
- For software development/engineering, the ratio was 3.7:1.
Companies can use that productivity gain in different ways:
Same team → more output
Same output → smaller team
Higher productivity → more products/projects
Therefore, a job can become highly exposed to AI while demand for people doing that job remains strong.
The biggest shift is toward specialised talent
India's overall IT hiring was slowing, but AI hiring was accelerating:
- AI hiring in India's IT sector: +16% YoY
- Overall IT recruitment: −3%
- AI/ML jobs across 14 sectors: +25%
- AI-related postings as a share of listings: 2.9% → 6.5% between Jan 2023 and Mar 2025.
- Demand for AI skills grew 75% faster than demand for other roles.
The demand is increasingly for specialised and senior technical talent, rather than generic entry-level programming.
Who is actually being squeezed?
Interestingly, some less AI-exposed functions are seeing weaker demand.
Area AI exposure What is happening
Statisticians / mathematicians 3.86/5 High exposure + strong demand
App developers 3.39 High exposure + strong demand
Database designers 3.32 High exposure + strong demand
Software developers/analysts 3.18 High exposure + strong demand
Finance ~2.75 Lower exposure
Legal 2.35 Low exposure + declining demand
HR 2.34 Low exposure + declining demand
Among tasks reportedly being reduced because of AI:
1. Data entry / clerical / back-office processing — 32%
2. Manual software testing / QA — 15%
3. Entry-level programming — 13%
Profit centres vs cost centres
This is arguably the most important explanation in the episode.
Companies tend to protect technical teams that directly generate revenue while cutting functions viewed primarily as cost centres.
So AI-driven productivity may result in:
Software engineering:
AI → higher productivity → more products/revenue → continued hiring of capable engineers
Support functions:
AI → higher productivity → same workload with fewer people → headcount reduction
This explains why engineering can be highly AI-exposed but still have strong demand, while HR/legal/R&D/QA-type functions can face greater pressure.
Important caveat
The ICE study shows correlation, not causation.
It is possible that companies are adopting AI because demand for software/technical work was already increasing. Therefore, the data does not prove that AI itself is creating more software jobs.
There is also a disclosure worth noting: the ICE study was supported by OpenAI, so its findings should be interpreted with that potential conflict of interest in mind.
Bottom line
The episode's real argument is:
So the emerging Indian IT labour market may look less like:
“AI replaces software engineers”
and more like:
“AI makes each strong engineer more productive → companies need fewer generic/entry-level workers → but continue hiring specialised engineers who can build, supervise and exploit AI.”
For someone in technical/ML roles, the key implication is that being “technical” alone may not be enough; the premium is shifting toward specialised expertise + ability to work effectively with AI.
The ICE study shows correlation, not causation.
It is possible that companies are adopting AI because demand for software/technical work was already increasing. Therefore, the data does not prove that AI itself is creating more software jobs.
There is also a disclosure worth noting: the ICE study was supported by OpenAI, so its findings should be interpreted with that potential conflict of interest in mind.
Bottom line
The episode's real argument is:
AI may not initially eliminate entire professions; it can instead eliminate the need for as many people, particularly less experienced people, while increasing the value of highly skilled people who can use AI effectively.
So the emerging Indian IT labour market may look less like:
“AI replaces software engineers”
and more like:
“AI makes each strong engineer more productive → companies need fewer generic/entry-level workers → but continue hiring specialised engineers who can build, supervise and exploit AI.”
For someone in technical/ML roles, the key implication is that being “technical” alone may not be enough; the premium is shifting toward specialised expertise + ability to work effectively with AI.
India's security forces widely use DJI Chinese drones despite government restrictions because they are:
- Much cheaper: ₹10L vs ₹50–60L for comparable Indian drones.
- Easier to operate and carry.
- Good enough that forces can afford to lose them in crashes.
They reach India through smuggling, third countries, or imported components. The concern is that relying on Chinese drones creates a national-security and data/software vulnerability.
General method green-listing
- Much cheaper: ₹10L vs ₹50–60L for comparable Indian drones.
- Easier to operate and carry.
- Good enough that forces can afford to lose them in crashes.
They reach India through smuggling, third countries, or imported components. The concern is that relying on Chinese drones creates a national-security and data/software vulnerability.
General method green-listing
Summary
The episode explains why Indian cinemas suddenly had a strong 2026, using The Odyssey and Spider-Man: Brand New Day as examples.
1. People are willing to pay a lot for “event” movies
The Odyssey became India's biggest IMAX movie ever, earning ₹60+ crore from IMAX alone. IMAX tickets in cities like Bengaluru, Mumbai and Delhi reached ₹1,100–3,000, yet premium seats were often sold out.
Spider-Man: Brand New Day also crossed ₹500 crore in India in just 11 days.
This suggests that people aren't necessarily abandoning cinemas — they're becoming more selective. They may skip ordinary movies but will pay heavily for movies they consider a must-watch theatrical experience.
2. India's lack of screens actually helped cinemas
India has only around 7 screens per million people, compared with roughly 109 in the US and 95 in France.
There are only around 34 IMAX screens in India, with PVR INOX operating about 21.
So when demand for The Odyssey exploded, cinemas couldn't significantly increase supply. High demand + fixed supply = very high ticket prices.
3. Cinemas deliberately created FOMO and repeat viewing
PVR INOX and the studios marketed The Odyssey as a once-in-a-generation cinematic event.
They:
- Released it in more languages, including Tamil and Telugu.
- Used collectibles such as character pins, film strips and posters.
- Encouraged people to watch it multiple times.
- Created premium IMAX positioning.
The objective wasn't simply to sell one ticket — it was to make people think “I have to experience this in IMAX, and maybe see it again.”
4. Hollywood is increasingly looking toward India
Hollywood has historically relied heavily on China, but access to the Chinese market has deteriorated.
Hollywood's share of China's box office fell from 36% in 2018 to 14% in 2024. China also reduced imports of American movies.
India therefore becomes an increasingly attractive alternative because of its huge population and enthusiastic movie-going audience.
The Odyssey's unusually strong India promotion — including Christopher Nolan and Matt Damon visiting Mumbai — reflects this shift.
5. But India's cinema recovery isn't guaranteed
Despite these blockbusters, Hollywood's overall share of India's box office has actually fallen, from 12% in 2022 to 8% in H1 2026.
PVR INOX therefore isn't relying only on expensive premium cinemas. It is also planning lower-cost cinemas in Tier-3 cities, with tickets around ₹150–175, to increase the overall audience.
The main idea
The cinema business is becoming polarised:
Big blockbuster → scarcity → FOMO → premium pricing → huge revenues
while ordinary movies may still struggle.
So The Odyssey isn't necessarily proof that all Indian cinema is booming. It shows that audiences will spend heavily when a movie feels like an unmissable theatrical event.
The episode explains why Indian cinemas suddenly had a strong 2026, using The Odyssey and Spider-Man: Brand New Day as examples.
1. People are willing to pay a lot for “event” movies
The Odyssey became India's biggest IMAX movie ever, earning ₹60+ crore from IMAX alone. IMAX tickets in cities like Bengaluru, Mumbai and Delhi reached ₹1,100–3,000, yet premium seats were often sold out.
Spider-Man: Brand New Day also crossed ₹500 crore in India in just 11 days.
This suggests that people aren't necessarily abandoning cinemas — they're becoming more selective. They may skip ordinary movies but will pay heavily for movies they consider a must-watch theatrical experience.
2. India's lack of screens actually helped cinemas
India has only around 7 screens per million people, compared with roughly 109 in the US and 95 in France.
There are only around 34 IMAX screens in India, with PVR INOX operating about 21.
So when demand for The Odyssey exploded, cinemas couldn't significantly increase supply. High demand + fixed supply = very high ticket prices.
3. Cinemas deliberately created FOMO and repeat viewing
PVR INOX and the studios marketed The Odyssey as a once-in-a-generation cinematic event.
They:
- Released it in more languages, including Tamil and Telugu.
- Used collectibles such as character pins, film strips and posters.
- Encouraged people to watch it multiple times.
- Created premium IMAX positioning.
The objective wasn't simply to sell one ticket — it was to make people think “I have to experience this in IMAX, and maybe see it again.”
4. Hollywood is increasingly looking toward India
Hollywood has historically relied heavily on China, but access to the Chinese market has deteriorated.
Hollywood's share of China's box office fell from 36% in 2018 to 14% in 2024. China also reduced imports of American movies.
India therefore becomes an increasingly attractive alternative because of its huge population and enthusiastic movie-going audience.
The Odyssey's unusually strong India promotion — including Christopher Nolan and Matt Damon visiting Mumbai — reflects this shift.
5. But India's cinema recovery isn't guaranteed
Despite these blockbusters, Hollywood's overall share of India's box office has actually fallen, from 12% in 2022 to 8% in H1 2026.
PVR INOX therefore isn't relying only on expensive premium cinemas. It is also planning lower-cost cinemas in Tier-3 cities, with tickets around ₹150–175, to increase the overall audience.
The main idea
The cinema business is becoming polarised:
Big blockbuster → scarcity → FOMO → premium pricing → huge revenues
while ordinary movies may still struggle.
So The Odyssey isn't necessarily proof that all Indian cinema is booming. It shows that audiences will spend heavily when a movie feels like an unmissable theatrical event.
The Hindu:
- Corporate investment in India has been declining: Investment rose strongly around 2004, but after recovering from the Global Financial Crisis, it began falling sharply after demonetisation in 2016. The decline started before COVID and has not recovered.
- Firms invest based on 3 things:
1. Expected profitability — will the factory/business make enough money?
2. Confidence — how certain is the firm about future profits?
3. Cost and availability of credit — can the firm afford to finance the investment?
- Small firms face a bigger financing problem: Large firms generally have more own capital, so they can finance investment relatively easily. Small firms have less own capital and therefore depend more on borrowing, making their cost of credit higher. Hence, “access to capital begets more capital” — firms that already have money find it easier to get and generate more money.
- Lower interest rates and tax cuts may not be enough: Even if borrowing becomes cheaper, small firms may still not invest because their expected profits are too low. Large firms may already have enough capital and therefore may not respond much either. This could explain why India's 2018 corporate tax cut and low-interest-rate period did not revive investment strongly.
- The proposed solution is to increase demand/profitability: Instead of focusing mainly on making credit cheaper or cutting taxes, the government should increase spending to create demand. Higher demand would improve firms' expected profitability, encouraging both small and large firms to invest more, which could also create more employment.
- Corporate investment in India has been declining: Investment rose strongly around 2004, but after recovering from the Global Financial Crisis, it began falling sharply after demonetisation in 2016. The decline started before COVID and has not recovered.
- Firms invest based on 3 things:
1. Expected profitability — will the factory/business make enough money?
2. Confidence — how certain is the firm about future profits?
3. Cost and availability of credit — can the firm afford to finance the investment?
- Small firms face a bigger financing problem: Large firms generally have more own capital, so they can finance investment relatively easily. Small firms have less own capital and therefore depend more on borrowing, making their cost of credit higher. Hence, “access to capital begets more capital” — firms that already have money find it easier to get and generate more money.
- Lower interest rates and tax cuts may not be enough: Even if borrowing becomes cheaper, small firms may still not invest because their expected profits are too low. Large firms may already have enough capital and therefore may not respond much either. This could explain why India's 2018 corporate tax cut and low-interest-rate period did not revive investment strongly.
- The proposed solution is to increase demand/profitability: Instead of focusing mainly on making credit cheaper or cutting taxes, the government should increase spending to create demand. Higher demand would improve firms' expected profitability, encouraging both small and large firms to invest more, which could also create more employment.
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1. Railway Station Amenities (CAG Report)
- A CAG audit (2020–2024) of 512 non-suburban stations found that 89% lacked minimum essential amenities (e.g., seating, toilets, fans, drinking water, signage).
- Even major stations like New Delhi, Howrah, and CSMT were deficient.
- Serious hygiene issues were found: E. coli was detected in drinking water at several stations, and water quality testing protocols were widely ignored.
- Facilities for disabled passengers were also grossly inadequate (e.g., lack of ramps, non-slippery walkways, accessible toilets).
- The main reasons cited were poor monitoring, infrequent meetings of oversight committees, and underutilization of budgets (36–14% unspent).
- In response, the Railways announced a new tank-to-tap filtration system at 20,000 locations and central-level water quality monitoring, but timelines are unclear.
- A CAG audit (2020–2024) of 512 non-suburban stations found that 89% lacked minimum essential amenities (e.g., seating, toilets, fans, drinking water, signage).
- Even major stations like New Delhi, Howrah, and CSMT were deficient.
- Serious hygiene issues were found: E. coli was detected in drinking water at several stations, and water quality testing protocols were widely ignored.
- Facilities for disabled passengers were also grossly inadequate (e.g., lack of ramps, non-slippery walkways, accessible toilets).
- The main reasons cited were poor monitoring, infrequent meetings of oversight committees, and underutilization of budgets (36–14% unspent).
- In response, the Railways announced a new tank-to-tap filtration system at 20,000 locations and central-level water quality monitoring, but timelines are unclear.