A significant portion of recent S&P 500 earnings growth is an accounting illusion. In one quarter, Alphabet, Amazon, and Nvidia reported $69B in "non-operating income" simply by marking up their investments in other tech firms. This circular, non-cash gain accounted for a stunning 12% of the S&P 500's total increase.

Traditional accounting metrics misrepresent the financial health of AI companies. Their largest expenditure, acquiring compute power, should be viewed as an investment in a valuable, appreciating asset, not as a typical operating expense. This reframes the narrative around their massive cash burn.

Hyperscalers are extending depreciation schedules for AI hardware. While this may look like "cooking the books" to inflate earnings, it's justified by the reality that even 7-8 year old TPUs and GPUs are still running at 100% utilization for less complex AI tasks, making them valuable for longer and validating the accounting change.

Some tech companies have doubled the depreciable life of their AI hardware (e.g., from 3 to 6 years) for accounting purposes. This inflates reported earnings, but it contradicts the economic reality that rapid innovation is shortening the chips' actual useful life, creating a significant red flag for earnings quality.

Profits from AI infrastructure (e.g., NVIDIA chips) can be misleading. The customer's purchase may be funded by a venture investment from the seller itself, making the revenue less recurring than it appears and complicating traditional valuation methods.

To appear more financially viable, major AI companies are accused of booking their GPUs with a 5-6 year lifespan, despite experts claiming the real functional obsolescence is 2-3 years. This accounting maneuver intentionally hides massive losses and inflates valuations ahead of IPOs.

Investor Michael Burry argues that hyperscalers overstate profits by depreciating GPUs over 5-6 years when their economic usefulness is only 2-3 years due to rapid technological advances. This accounting practice, which Burry calls a "common fraud," masks true costs and inflates valuations.

According to the Kalecki-Levy equation, gross investment spending immediately becomes revenue for another company. Unlike consumption-driven revenue which has immediate wage costs, the cost of investment (depreciation) is recognized slowly over time, creating a powerful, immediate boost to aggregate corporate profits.

The AI infrastructure boom is a potential house of cards. A single dollar of end-user revenue paid to a company like OpenAI can become $8 of "seeming revenue" as it cascades through the value chain to Microsoft, CoreWeave, and NVIDIA, supporting an unsustainable $100 of equity market value.