New Delhi is again in decimals of a trillion and the figure has more substance this time. The government's working vision of Viksit Bharat 2047 is based on a multi-trillion dollar economy on three legs artificial intelligence, manufacturing, and a continuous stream of foreign capital into the country's ‘sunrise sectors'. The pitch is not new; it was a $5 trillion one for the mid-decade, and then a $30-plus trillion one for the 100th Independence Day. The texture of the argument is what is different this year. No longer it's solely a matter of scale. It's all about those industries that reach there first and those that can out-build, out-code and out-manufacture those economies which got a 20 years head start.

Begin with numbers that have been agreed upon. Judging by current estimates, India's economy is on the verge of reaching close to $4.2 trillion with a brisk growth rate of 7.6 percent in the previous financial year, among the fastest of all large economies. According to the finance ministry, based on the projections made by the IMF, this milestone would be achieved around 2028-29. Then, enabled by such a 8 per cent compound annual growth over the next two decades, a developed economy is just a short while away by 2047, a feat that very few economies have achieved for such a prolonged period. As widely reported in the past few months, the difference between a frontier frontier technology manufacturing India and one that does not could lead to a loss of more than a trillion dollars of industrial value by mid-century, according to modelling by NITI Aayog. That's the amount that's on the table.

The government has toughened up its rhetoric the most in manufacturing. The production linked incentive schemes that have been introduced in over a dozen sectors, from semiconductors to advanced chemistry cell batteries, are supposed to bring in global value chains to India, and not simply sell into it like decades of protectionist tariffs did. The semiconductor industry in particular has been discussed at every investor meeting, and officials have cited fab announcements and packaging units as the indicators that "China plus one" is finally here. Triumphant independent voices are not as many. Former G20 sherpa Amitabh Kant has spoken out in public and called Indian industry five to seven years behind in manufacturing solar energy, losing the electric vehicle race altogether if it continues to be propped up by fossil-fuel based platforms. The larger thrust of his argument that the US, Europe, and India have all "lost the art of manufacturing" to the East Asian block is a welcome countering of the celebration that has emerged out of ministries. Laying the ground for factory floors comes much before announcing them and a decade after several years of PLI spending the contribution of manufacturing in India's economy has not moved, at 17 percent.

AI in this narrative plays a double-edged sword, both as catalyst and as a menace. On one side, the adoption of AI-based predictive maintenance, automated quality control and digital-twin testing in factories in India has been observed, ranging from railways to pharmaceuticals production lines, and analysts attribute these to reducing the productivity differential between Indian manufacturing companies and global leaders. On the other, India's top chief economist has warned that Artificial Intelligence (AI) and robotics will impact the services sector first, the sector that has been the driver of the country's growth narrative over the last three decades. That tension is real tension. Instead of competing for cutting-edge model development where America and China have a resource advantage, it will be just the implementation of AI to formalize the informal economy from providing credit facilities to small businesses using alternative data to the automation of compliance processes for millions of small taxpayers to the creation of underwriting models for a population that has never had any credit history. That perception which is becoming more widespread in the industry sees AI as a more plumbing-type endeavor than a moonshot, one that is distributed, geeky and, ultimately, decisive in determining whether growth can happen outside the metros.

Foreign capital has a complex history of its own. Since 2000, cumulative FDI equity flows to India have more than doubled to $787 billion, with Singapore and Mauritius being the two most important sources of FDI with about 50 per cent of last year's inflows, followed by the United States, Netherlands and Japan. The central bank has ample space for foreign exchange reserves of $693 billion. But the story is not entirely positive. FDI into developing Asia-Pacific economies contracted through 2025 despite the overall growth of global flows, as tariff uncertainty and geopolitical caution cut into flows, data from the United Nations reveals. The single largest recipient of announced greenfield investment remains India but exports to the United States have dropped sharply since August last year when the United States imposed hefty tariffs on FDI, and a new 1 percent tax on remittances is likely to cut into the $137 billion that India receives from its diaspora, which has been an effective source of household consumption for decades.

All this does not make 2047 impossible but rather makes it "conditional. Manufacturing requires continued investment in capital and people who can be reskilled at a rate greater than the rate of automation. Geopolitics has made trade certainty more uncertain for foreign investment. But artificial intelligence should not just be a project for prestige; it should be directed toward the middle of the economy, where people are manufacturing products, doing business in the informal sector, or taking out loans for the first time.