Recent Democratic gains in the US midterms have introduced regulatory uncertainty around data center expansion in key states, pressuring AI infrastructure spending by hyperscalers and contributing to sharp tech sell-offs. Nvidia's CEO resignation amid a security scandal accelerated declines in chipmaker valuations, while heavy capital expenditures by companies like Amazon and Meta—projected to exceed cash flows—have highlighted gaps between AI buildout costs and near-term revenue. Trader sentiment reflects these strains alongside competitive model releases from Anthropic and Google DeepMind, plus Anthropic's ongoing IPO roadshow. Key upcoming catalysts include further earnings reports, potential policy shifts on compute capacity, and benchmark updates that could clarify whether large language model capabilities justify current market positioning.