五大咨询巨头签约Claude,百万员工用上同一AI模型

Cognizant, Deloitte, KPMG, Accenture, and TCS all signed Claude partnerships this year. That's over...

精选理由

这篇文章戳破了AI部署的常见误区——全员开放不等于有效落地。做企业AI战略或咨询的人会看到:真正赚钱的公司不是铺得最广的,而是选对场景的。建议点开看看,理解如何避免Cognizant的教训。

AI 摘要

Cognizant、Deloitte、KPMG、Accenture和TCS今年都与Anthropic签署了Claude合作协议,总计超过100万员工获得访问权限。但深入分析发现,全面推广的Cognizant(35万人)股价下跌36%,而小规模部署的Accenture(3万人)和TCS(5万人)却创造了数十亿美元AI收入。这表明AI在企业中成功的关键不是全员开放,而是精准定位高价值场景。Accenture和TCS选择在工程、财务、法律、销售等特定职能部署,效果显著。这重现了云计算时代的AWS模式:赢家不是一夜迁移所有业务的公司,而是知道先迁移哪些工作负载的团队。

原文 · Aadit Sheth

Cognizant, Deloitte, KPMG, Accenture, and TCS all signed Claude partnerships this year. That's over...

Cognizant, Deloitte, KPMG, Accenture, and TCS all signed Claude partnerships this year. That's over a million employees getting access to the same AI model. But dug a little deeper to find a different story underneath... Cognizant gave Claude to 350,000 employees (basically their entire company). Stock is down 36% this year. Accenture gave it to 30,000 (3.8% of their workforce). They booked $2.2 billion in AI work last quarter. Nearly doubled YoY. TCS gave it to 50,000 (8.3% of their workforce). Their AI services line is at $1.8B annualized, growing 17.3% QoQ. The two firms with the smallest rollouts have the biggest AI revenue. The firm that gave access to everyone hasn't disclosed comparable numbers. I think this tells you something about how AI actually gets adopted inside large companies. Turning it on for everyone is easy. Figuring out where it creates revenue and deploying there first is hard. Accenture and TCS picked specific functions: engineering, finance, legal, sales. My guess is they adopted it better. This is the AWS pattern again. When cloud arrived, the companies that won weren't the ones that migrated everything overnight. They were the ones that figured out which workloads to move first. Anthropic is still the platform underneath all of them. Every firm competes with each other. Anthropic collects from all of them. But honestly, I think the real question for anyone evaluating these firms isn't whether they use AI. It's whether they know where to point it. That's the hard part. Always has been with technology. 💬 3 🔄 1 ❤️ 3 👀 145 📊 3 ⚡