FT：美国企业因成本压力转向开源模型，AT&T 计划将开源占比提至 70%
AT&T 每天 450 亿 token 的账单太吓人了，他们要把开源模型占比拉到 70%，FT 这篇讲清了美国企业为什么开始算小账。
FT 报道称，AI 账单上涨正推动美国企业转向更便宜的开源权重模型，包括 OpenAI 和 Anthropic 的中国替代品。
AT&T 计划在一年内把开源模型在其 AI 工作负载中的占比从约 40% 提高到 70%。AT&T 每天处理的 token 量达 450 亿，即使微小的成本差异也会显著放大。
OpenAI 和 Anthropic 仍占据大部分收入，但客户正在测试哪些工作真正需要前沿模型。
I keep reading that local models are largely irrelevant in business. That is completely wrong. Rising AI bills are pushing US companies toward cheaper open-weight models, including Chinese alternatives to OpenAI and Anthropic, the FT reports.
For example AT&T wants to increase open models’ share of its AI workloads from about 40% to 70% within a year. At 45 billion tokens a day, even small cost differences add up.
OpenAI and Anthropic still capture most of the money. But customers are increasingly testing how much of their work actually needs a frontier model.
Some people believe that open-weight models have no chance of catching up. I think that is fundamentally wrong.
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include AT&T, OpenAI, Anthropic, open-source models.
Source attribution: curated from kimmonismus (@kimmonismus). Cross-source corroboration: 11 independent sources have covered this development (including The Information, IT之家, Ethan Mollick), confirming industry-wide signal strength.
