As the AI boom reaches unprecedented scale with $380 billion flowing into AI-related companies in 2026, economist Sachee Trivedi of Trident Advisors is questioning the underlying economics. Speaking on Moneycontrol's Wealth Formula podcast, Trivedi argues that the valuations imply a staggering level of future spending that could fundamentally reshape the global economy. The hyperscalers could collectively invest around $2 trillion in AI infrastructure over the next few years, based on announced capex plans and data-centre expansion targets. However, she estimates that generating $200 billion of annual earnings would require approximately $1 trillion of annual revenue, requiring a trillion dollars of incremental revenue over the next seven years. Trivedi warns that "A trillion dollars of revenue for the hyperscalers is somebody else's expense line," raising concerns about second-order economic effects.
The AI boom has reached unprecedented scale with $380 billion flowing into AI-related companies in 2026, according to recent reports. As per Investing.com India, this massive capital deployment is being led by three of tech's most influential figures - Jeff Bezos, Jensen Huang, and Masayoshi Son - who are publicly framing the debate between bubble versus productivity. The investment breakdown shows $140 billion in investment-grade bonds (49% of total IG issuance), $220 billion in venture funding (87% of total), and $21 billion in high-yield credit. Combined across all channels, AI-linked capital represents about 64% of all capital flows tracked, with SoftBank joining the buildout this week with a €75 billion ($87 billion) commitment to develop 5 gigawatts of AI data center capacity in France.
The AI wave has created trillions of dollars in market value and transformed technology firms into wealth-compounding machines, with investors in the US, Taiwan, South Korea, and increasingly China participating in one of the most dramatic wealth creation cycles in recent memory. Nvidia's market cap has surged from around $2 trillion two years ago to crossing the $4-5 trillion zone, surpassing the total market cap of all listed Indian companies. The company became the "arms dealer" of AI, with hyperscalers like Microsoft, Amazon, Google and Meta spending billions to secure supply. Taiwan Semiconductor Manufacturing Company (TSMC) crossed the $1 trillion valuation mark in July 2024 and has surged to $1.8 trillion, with its market cap now twice Taiwan's nominal GDP of $970 billion. Samsung and SK Hynix together generated nearly $59.7 billion in profit in the March 2026 quarter, which exceeds the combined quarterly profit of all listed Indian companies.
Chicago Federal Reserve President Austan Goolsbee cautioned Wednesday that massive business investment and consumer spending on AI technology could trigger economic overheating if productivity gains don't materialize as expected. Speaking at the Milken Institute conference, Goolsbee warned that "if it's as good as it's advertised, it will make us rich. But if that's still to come in the future, I do think we need to be a little more circumspect and on the lookout." He emphasized that the Fed might need to raise interest rates rather than lower them if AI-driven spending occurs before actual productivity improvements show up in the data. Goolsbee referenced the 1990s autonomous driving example, noting that predictions of every professional driver being out of work within five years didn't materialize due to diminishing returns.
India has largely watched from the sidelines as the AI revolution transformed global markets, with the country lacking a dominant AI platform or semiconductor champion. India's IT Services sector declined 34% during the AI boom period (2024-2026 YTD), while ex-IT Services declined 1% and total market cap fell 4%. In contrast, Taiwan's AI stocks delivered 69% growth, Korea achieved 101% CAGR, and China saw 16% growth during the same period. The biggest issue for India is not software talent but technological ownership - the country lacks a home-grown Nvidia, TSMC, OpenAI or SK Hynix equivalent. Indian investors have increasingly realized this opportunity loss, with overseas Fund of Funds attracting net inflows of ₹2,597 crore in 2025 and ₹3,977 crore in the first four months of 2026 alone.
The market has become "a giant construction site" with investors increasingly focused on AI infrastructure rather than traditional fundamentals. As per Investing.com India, "The artificial intelligence story has evolved far beyond software. Investors are now chasing the physical backbone required to support the next generation of computing power." The strongest performers increasingly resemble "the inventory list of a giant industrial supply depot," with hardware manufacturers, fibre network providers, power companies, cooling specialists, copper producers, steel makers, and construction suppliers becoming as important as chipmakers themselves. Credit markets are helping answer the question, with investment-grade issuance surging to record levels as corporations race to secure financing for expansion plans. However, bond markets appear less convinced than equities, with Treasury yields initially declining before reversing after stronger labour market data, while gold finished essentially unchanged despite geopolitical uncertainty.
Despite industry leaders defending the AI investment surge, economist Sachee Trivedi presents a more cautious perspective on the economic viability of current valuations. She questions whether the trillion dollars of incremental revenue needed to justify current AI valuations will materialize without disrupting the existing economy. "The bet you are making is that these hyperscalers will be able to generate a trillion dollars in incremental revenue without disrupting the existing economy," Trivedi noted. She extends this analysis to SpaceX, which is expected to come to market at a valuation of $1.74 trillion despite generating revenue of less than $20 billion, requiring "a trillion dollars of revenue from SpaceX" to justify the valuation. Trivedi warns that "If AI becomes a cost-driven business, then many of the assumptions around competitive moats, barriers to entry and long-term profitability may prove less durable than investors currently expect."
