Recent debt-fueled data center buildouts by hyperscalers and sharp drops in large language model inference pricing have become the main drivers of trader caution around an AI industry downturn. American labs have lost significant market share to lower-cost Chinese open-weight models from firms like Alibaba and Z.ai, with token prices falling by factors of ten in recent months while capital expenditures remain elevated. Investor commentary from Ray Dalio and Michael Burry has highlighted unsustainable leverage and a potential 2027 spending cliff if revenues fail to scale, alongside complex financing structures like sale-leaseback deals. Competitive pressure from cheaper alternatives and earnings visibility at major providers will likely shape near-term sentiment shifts.