BlockBeats News, July 4th, Tether CEO Paolo Ardoino posted on social media, stating that the current AI industry's collaboration with large tech firms to scale user adoption through subsidized computing power is essentially building a high-capital expenditure-driven infrastructure. However, this type of investment faces a rapid depreciation cycle of 3 to 5 years, creating structural pressure on asset recovery and profitability pathways. At the same time, this "growth at all costs" model is leading to further divergence between cost structures and revenue streams.

The AI industry is facing multiple misalignment risks, including mismatched profit realization timelines, misalignment between capital costs and asset maturation cycles, and the continuous erosion of commercialization revenue space by open-source AI models. Against the backdrop of highly leveraged expansion and revenue realization uncertainties, the industry's potential risks are accumulating.