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The AI boom has echoes of Enron — but that might be okay, a tech guru says

8/16/2026

The AI boom has echoes of Enron — but that might be okay, a tech guru says Are Tech Giants Following in Enron’s Footsteps? The collapse of Enron in 2001 was a stark reminder of the dangers of corporate fraud and reckless financial tactics. However, according to Ram Bala, an associate professor of AI and analytics at Santa Clara University’s Leavey School of Business, today’s tech titans are using similar financial strategies, albeit entirely legally. Bala, who is also the coauthor of “The AI-Centered Enterprise” and the cofounder and chief product and AI officer of an AI startup named Samvid, believes that these tactics deserve attention and scrutiny. The Three Key Tactics Bala identifies three key tactics used by Enron that are being replicated in the current AI buildout: – Shifting debt off balance sheets using special vehicles, now replaced by private credit – Employing mark-to-market accounting to book future sales projections as immediate revenue, now being done by financing against demand curves that are marked to model, not to market – Using circular transactions to make customer demand appear more independent than it is in reality, now seen in circular-financing deals such as Nvidia investing in OpenAI, then OpenAI using the cash to buy Nvidia’s microchips Private Credit and the Shift of Risk Private credit is playing a significant role in financing the AI buildout, with private equity firms like KKR helping to fund the growth. However, Bala notes that this shifts the risk from the tech companies to the borrowers and their lenders, ultimately funded by ordinary savers through instruments like pension funds. This means that the tail risk lands on households, making them vulnerable to potential defaults. Demand Projections and the Risk of Fragility Bala also highlights the risk of demand projections being fragile and prone to errors. He cites Anthopic CEO Dario Amodei’s admission that his company has invested less in compute than its rivals, as a small error in demand projections could be the difference between success and bankruptcy. This fragility should give everyone pause, especially when leveraged borrowers are underwriting to the optimistic case. Circular-Financing Deals and Vendor Financing Circular-financing deals, such as Nvidia investing in OpenAI, then OpenAI using the cash to buy Nvidia’s microchips, can be viewed as vendor financing. While vendor financing can increase market liquidity and generate value, it can also be risky if done excessively with uncertain outcomes. Bala notes that folks like Michael Burry, the investor of “The Big Short” fame, are sounding the alarm on the AI boom, saying that the math is not right given the risk. A Different Opinion However, Bala believes that this boom is “not like bubbles of the past,” and that long-term demand for AI will justify tech companies’ current financial strategies. Only time will tell who is right, but one thing is certain – the current AI buildout is a complex and multifaceted phenomenon that deserves close attention and scrutiny. Source: WorldNewsAPI | Read original