Borrowed Certainty
AI can tell you what a million people have already said about India. It can't tell you what one distributor in Coimbatore will pay next quarter — and it won't tell you it doesn't know the difference.
B.S. Ashwin · ResearchFox
Weekly perspectives on GCC setup, talent, innovation, and AI — grounded in real advisory work.
Work With Ashwin →AI can tell you what a million people have already said about India. It can't tell you what one distributor in Coimbatore will pay next quarter — and it won't tell you it doesn't know the difference.
The most productive two hours of my day are slowly making the other six harder for everyone around me.
Everyone agrees India has a demographic dividend. Almost nobody agrees on what's stopping it from paying out. Eight pieces of research later, the answer isn't more data — it's the frame you bring to read the data everyone already has.
The Rajkot manufacturer, the Andhra Pradesh seafood processor, and the Bengaluru deep-tech founder are all trying to go global. All three are doing it through individual heroic effort. The outbound architecture that makes heroism unnecessary — for all three simultaneously — does not yet exist at scale.
The child stunted today in Vizag enters the workforce in 2040. That is a fourteen-year lead time on every other policy decision in this series. Here is the framework for what fixing it actually requires.
Indian deep-tech companies going global. Auto component manufacturers cracking German supply chains. Agri-processors meeting EU food safety standards. All three did it through individual heroic effort. That heroism is the proof the capability is real — and the indictment of the system around it.
The Supreme Court asked what India's policy system hasn't asked in three decades: if both parents are IAS officers, why should children still have reservation? That question is the beginning of a much larger reckoning.
Every MNC evaluating Tier 2/3 India is reading the same map. The map is accurate. It was built for one sector's requirements. That is why site selection keeps misfiring.
No one has commissioned the Manufacturing Graduate Employability Index. India's skill gap data is drawn almost entirely from surveys the IT sector paid for. The other two engines are flying blind — and policy is following the only instruments that are lit.
India's economic conversation is dominated by GCCs. Manufacturing employs six times as many people. Agriculture employs ninety times as many. All three are betting on the same Tier 2/3 ground. Nobody has stress-tested whether the ground holds all three.
AP's own policy calculates that raising female workforce participation grows GSDP by 15%. It then builds the supporting infrastructure at 2% of the required scale — and points it at new births, not the existing workforce.
China didn't copy what worked elsewhere. India shouldn't copy China.
Every country invited foreign universities in. China told them what they had to become first.
India is not the first country to bet on foreign branch campuses. It is the fourth. The first three produced the same outcome.
The brands winning India's FMCG growth aren't the ones anyone's talking about.
HUL's CEO told investors India has a shortage of competition. His own numbers show: margins flat for three years, negative pricing in the flagship category, and a revenue CAGR half the sector average. I'd hate to see what more competition looks like.
Every major crisis in India's last 30 years — 1991, 2013, COVID — was followed by the structural reforms that made the next decade. The companies that entered during the worst moments captured the best structural positions. The ones that waited for stability arrived after the advantage was already built.
What separates innovation ecosystems that thrive from those that stagnate?