The generative artificial intelligence field is facing a crucial question of whether it can generate enough income to cover its significant operating costs. Doubts have been raised about the sustainability of the field, with concerns about a $600 billion gap between expenses and revenues. Investors like David Cahn and Jeremy Grantham have expressed skepticism about the AI bubble, predicting a potential decline. However, major technology companies continue to invest heavily in AI, with Meta, Alphabet, and Microsoft announcing increased investments. Smaller companies are facing challenges, with signs of financial difficulties and layoffs.

Goldman Sachs published a report questioning the return on investment for the estimated $1 trillion spent on AI. The report offers a pessimistic outlook, predicting that AI will contribute minimally to GDP growth and automate less than 5% of tasks in the next decade. The possibility of a bubble burst similar to the dot-com era is being discussed, with the potential for long-term effects on the industry. Despite the uncertainties, the potential of AI remains significant, although its immediate applications have not yet attracted substantial capital.