Economics Expert: India’s Real Crisis, Gold, Middle Class & Falling Rupee |Jayant |FO510 Raj Shamani

The podcast features economist Jayant Mundra speaking with host Raj Shamani about India's real economic challenges beneath the surface of its 'fastest growing major economy' narrative.

The conversation opens with Prime Minister Modi's appeal to citizens to reduce gold purchases. Mundra explains why: India imports roughly 800 tons of gold per year while producing only about 1 ton domestically. As the rupee depreciates, the foreign exchange cost of this import grows dramatically, worsening the current account deficit. He connects this to a broader structural problem — India is critically dependent on dollar-denominated imports for almost everything, from gold to energy to pharmaceutical ingredients (APIs), 70% of which come from China.

Mundra makes his first prediction: the rupee will depreciate to ₹150 per dollar. He argues the commonly held belief that a weaker rupee boosts exports is empirically false — over the last 14 years, the rupee has depreciated over 60% while India's exports as a percentage of GDP have actually fallen from 25% to 21%. He contrasts this with Vietnam, which methodically devalues its currency by about 3% annually and has seen exports grow 14% per year, because Vietnam has built deep domestic supply chains whereas India still imports most of its raw materials.

On inflation, Mundra argues the Consumer Price Index (CPI) is largely irrelevant to urban middle-class Indians. The index was designed in 2011 with 46% weightage given to food, reflecting the spending patterns of India's poorest citizens. Meanwhile, costs that urban Indians actually bear — private school fees, health insurance premiums (rising 14-15% annually), diagnostic services, rent — receive little or no weight. He calls for multiple inflation indices segmented by income group and geography, noting that India is effectively 'seven different Indias.'

His second prediction is that most Indians will never be able to own a home. He cites data showing only 12% of new housing supply is classified as affordable, while over 50% of new units are priced above ₹1.5 crore. Simultaneously, over 2 crore completed homes sit empty — largely owned by NRIs using property as investment vehicles (now accounting for 20-30% of bookings in premium projects) and black money holders who deploy undisclosed cash into real estate. This dual dynamic inflates prices while creating no actual housing utility, and Mundra argues political connections between real estate developers and politicians make any corrective policy unlikely.

Mundra discusses the structural cost disadvantages facing Indian manufacturers — high fuel taxes (excise duty on diesel has risen from ₹4.7 to ₹33+ per liter since 2010) for which manufacturers get no GST input tax credit, high commercial electricity tariffs due to cross-subsidization policy, and compliance burdens. These make Indian manufacturing globally uncompetitive. He references economist Subramanian Swamy's proposal to abolish income tax entirely, replacing government revenue with higher GST collection driven by increased economic activity — arguing that income tax creates incentives to generate black money which then distorts real estate and gold markets.

His third prediction concerns AI: it will displace far more than IT sector jobs. He notes that India's entire formal IT workforce (TCS, Infosys, Wipro, GCCs combined) is only about 60 lakh people — just 1% of India's 62-crore working population. The real disruption will come to logistics, hospitality, delivery, and other labor-intensive sectors. He points to China's deployment of autonomous trucks, delivery drones, and robotic hotel services as examples of what's coming. Major Indian IT firms like TCS and Infosys are already seeing net headcount reductions as clients renegotiate contracts knowing AI enables fewer workers to do more.

The episode concludes with Mundra offering three actionable takeaways: learn to automate at least one task using AI tools like Claude or ChatGPT; start reading South China Morning Post to understand what's actually happening in the world's most active manufacturing and tech economy; and begin diversifying skills beyond one's primary income source to build resilience against AI-driven disruption.