#TSLA #TSLAUSDT Recently, there has been a lot of FUD regarding the Q1 delivery data, and market sentiment has shown an extremely crowded consistent pessimism. Setting aside the short-term emotional outbursts, purely from the evolution of underlying business logic, the current market pricing model for $TSLA may have structural lags.
Currently, the vast majority of valuation consensus is still applying the logic of traditional manufacturing to assess single vehicle profits. However, the core of Tesla's balance sheet that is being reconstructed is actually the AI node network in the physical world. The millions of cars on the road are essentially real data collectors feeding the FSD end-to-end large model. This barrier of "real-world data + edge computing power" means that its core assets are transitioning from "metal cars" to "AI infrastructure."
On the other hand, beneath the surface of price cuts to maintain market share, the strong cash flow and high gross margins of the energy storage business (Megapack) are often overlooked, which actually provides a foundational safety net for its huge capital expenditures in computing power. Sacrificing short-term vehicle gross margins to maintain volume is essentially laying out mobile network nodes without regard to cost. Once the scheduling density crosses the critical point, supporting the scale of the Robotaxi network, its business model will completely transform into software and scheduling services with decreasing marginal costs.
Finally, from the perspective of the microstructure of the market, constrained by the old narrative of weak delivery volumes, extremely crowded short positions have accumulated. Under this fragile one-sided structure, any substantial leap in FSD takeover rates in the future, or the unexpected realization of core city Robotaxi deployment progress, could easily trigger a short squeeze. For Tesla at present, the true observation anchor may no longer be the quarterly delivery fluctuations, but rather the tension between the expansion of its computing power network and the distribution of chips.
Currently, the vast majority of valuation consensus is still applying the logic of traditional manufacturing to assess single vehicle profits. However, the core of Tesla's balance sheet that is being reconstructed is actually the AI node network in the physical world. The millions of cars on the road are essentially real data collectors feeding the FSD end-to-end large model. This barrier of "real-world data + edge computing power" means that its core assets are transitioning from "metal cars" to "AI infrastructure."
On the other hand, beneath the surface of price cuts to maintain market share, the strong cash flow and high gross margins of the energy storage business (Megapack) are often overlooked, which actually provides a foundational safety net for its huge capital expenditures in computing power. Sacrificing short-term vehicle gross margins to maintain volume is essentially laying out mobile network nodes without regard to cost. Once the scheduling density crosses the critical point, supporting the scale of the Robotaxi network, its business model will completely transform into software and scheduling services with decreasing marginal costs.
Finally, from the perspective of the microstructure of the market, constrained by the old narrative of weak delivery volumes, extremely crowded short positions have accumulated. Under this fragile one-sided structure, any substantial leap in FSD takeover rates in the future, or the unexpected realization of core city Robotaxi deployment progress, could easily trigger a short squeeze. For Tesla at present, the true observation anchor may no longer be the quarterly delivery fluctuations, but rather the tension between the expansion of its computing power network and the distribution of chips.