在美国政府与Anthropic的紧张关系升温之际——源于Anthropic拒绝将模型用于大规模监控与自主武器——该公司宣布在伦敦扩建据点，并落脚于与Google DeepMind、OpenAI、Meta等公司相近的AI区域。Anthropic于2023年已在伦敦开设首个办公室；此次租约约158,000平方英尺（约14,680平方米），可容纳800人，约为目前约200人规模的4倍，显示其在欧洲研发与商业布局上明确加码。
英国政府官员据传在两国争端后积极拉拢Anthropic在伦敦扩张，这与其拒绝将模型供应给大规模监控和自主武器系统、并与五角大厦持续发生法律纠纷的背景一致。Anthropic同步表示将深化与英国AI安全研究机构（AI Security Institute）的合作，该机构近期已发布对Claude Mythos Preview的风险评估。根据Politico，英国是欧洲少数获得该模型存取权的国家之一，因Anthropic仅向少数机构开放此模型，出于担心模型可能被网路犯罪分子滥用。
Geraint Rees指出，伦敦同区域AI研究单位与公司日益集中，意味著实验室研究更容易向产品化转译，形成人才与机构互补的生态。Pip White则强调，英国同时拥有重视AI安全的高增长企业与丰富人才池，是Anthropic同步扩张的重要理由。整体而言，这股集中趋势显示AI创新系统并非线性、干净的「实验室→市场」流程，而是更依赖靠近、协作与多方共生的网络化进程。
As tensions with the U.S. administration rise—after Anthropic refused to permit its models for mass surveillance and autonomous weapons—the company is expanding in London, moving into the same AI corridor as firms such as Google DeepMind, OpenAI, and Meta. Anthropic opened its first London office in 2023, and the new lease is about 158,000 square feet (about 14,680 m²), with capacity for 800 people, roughly four times its current 200-person scale, signaling a clear scaling-up of European R&D and commercial operations.
UK officials reportedly pushed Anthropic to expand in London after the dispute with the U.S. government, in line with Anthropic’s refusal to support mass surveillance and autonomous weapon use and its ongoing legal conflict with the Pentagon. Anthropic also says it will deepen collaboration with the UK AI Security Institute, which recently published a risk evaluation of Claude Mythos Preview. According to Politico, the U.K. is among the few European countries given access to the model, since Anthropic has limited access to selected parties because of concerns it could be abused by cybercriminals.
Geraint Rees says the clustering of AI research institutions and companies in the same London district is strengthening the path from research to commercialization by increasing the flow of talent and institutional spillover. Pip White adds that the U.K. combines AI ambition with safety awareness and a deep talent pool, making it a key reason for Anthropic to align expansion there. Overall, the trend suggests AI innovation is not a linear pipeline from lab to market; it is increasingly a proximity-driven, collaborative, networked process.