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Managing Partner of Talk The Walk Sanchita Mukherji told Timesnownews.com, “while Nvidia CEO Jensen Huang enthusiastically promotes artificial intelligence as the ultimate engine for hyper-scale corporate profits and exponential GDP growth, prominent economists and financial analysts argue that this vision fatally ignores rigid macroeconomic and physical constraints. Prominent growth economist Daron Acemoglu (2024) challenges these aggressive forecasts, calculating that AI’s actual macroeconomic impact will be nontrivial but modest, projecting an increase in total factor productivity (TFP) of less than 0.55% and an upper-bounded GDP growth of just 0.90% over the next decade. This disconnect stems from a severe “math problem” where the tech sector is executing the largest infrastructure buildout in human history—aiming for roughly $5 trillion in capital expenditures—without a clear path to generating the trillions in annual revenues required to recoup those costs (Storm, 2026). Furthermore, early empirical evidence suggests that integrating AI into complex, real-world workflows can actually introduce friction; for instance, a study tracking experienced software developers revealed that over-reliance on early-2025 AI tools unexpectedly slowed down completion times by 19% due to debugging errors and scope creep (Becker et al., 2025). Ultimately, critics warn that framing AI as an unconditional economic savior mistakes a concentrated, speculative infrastructure boom for genuine, widespread productivity gains across the broader economy.”