Market selloff, rising rates test AI data centre deal boom

The thread treated the selloff less as proof that AI has failed than as a stress test for an industry financed on enormous expectations. The sharpest concern was simple: data centers are being built at billion-dollar scale before anyone has demonstrated enough durable, high-margin AI demand to pay for them. Readers pointed to weak everyday LLM adoption outside programming, resentment among workers told to use AI, and credit markets increasingly pricing major GPU-cloud operators as risky. Several saw this as a familiar hype cycle in which expensive infrastructure gets funded first and the profitable workload is promised later. Others pushed back on taking market noise or one skeptical commentator as a verdict on the technology. Scarce top-end GPUs selling at extraordinary prices was offered as evidence of intense compute demand, while another view held that the economic rationale for capacity has not vanished merely because financing got harder. A correction was even framed as healthy for AI users: distressed hardware and facilities could lower compute prices and expand access to open models. The thread also noted that a data-center bankruptcy would not erase the physical assets; lenders would inherit infrastructure and reprice it to whatever real AI demand supports. The disagreement is therefore over whether today’s buildout reflects genuine future usage or leveraged overbuilding chasing a perpetually deferred payoff.