ServiceNow CEO Bill McDermott 谈 AI 时代企业平台与领导力ServiceNow CEO Bill McDermott on AI-Era Enterprise Platforms and Leadership
The Takeaway: 企业平台如 ServiceNow 能以远低于纯语言模型的成本提供可靠的 AI 应用基础,因为复制平台需要承担 GPU、token、人力以及非确定性带来的 10 倍成本。
ServiceNow CEO Bill McDermott 从 16 岁买下熟食店开始创业生涯,后来领导 SAP 和 ServiceNow,他认为客户至上、韧性和人类连接在 AI 时代依然至关重要。语言模型擅长思考,但平台擅长通过工作流、上下文和确定性行动来执行。他指出,业务负责人明白人会犯错,但绝不会原谅软件出错。ServiceNow 定位为 AI 控制塔,整合超大规模计算、语言模型和记录系统,最近 20 天内整合 Armis 等收购,客户服务案例 90% 由 agent 处理,能在 30 天内上线大型项目。
McDermott 强调,AI 应放大人类雄心而非取代,人际连接比以往更重要。这让企业从实验阶段转向主流 agentic 业务重塑,实现更高生产力和利润率。
ServiceNow CEO Bill McDermott 从 16 岁买下熟食店开始创业生涯,后来领导 SAP 和 ServiceNow,他认为客户至上、韧性和人类连接在 AI 时代依然至关重要。语言模型擅长思考,但平台擅长通过工作流、上下文和确定性行动来执行。他指出,业务负责人明白人会犯错,但绝不会原谅软件出错。ServiceNow 定位为 AI 控制塔,整合超大规模计算、语言模型和记录系统,最近 20 天内整合 Armis 等收购,客户服务案例 90% 由 agent 处理,能在 30 天内上线大型项目。
McDermott 强调,AI 应放大人类雄心而非取代,人际连接比以往更重要。这让企业从实验阶段转向主流 agentic 业务重塑,实现更高生产力和利润率。
The Takeaway: Enterprise platforms like ServiceNow offer a far more cost-effective and reliable foundation for AI-powered applications than trying to replicate everything with language models alone.
ServiceNow CEO Bill McDermott, who started his entrepreneurial journey by buying a deli at 16 and went on to lead giants like SAP and now ServiceNow, shares hard-won lessons on leadership and the future of enterprise tech in the AI age. From understanding customers intimately in his deli days to battling for his first sales job at Xerox, McDermott emphasizes that customer focus, resilience, and human connection are timeless—especially now, when AI risks eroding them. He argues that while LLMs are powerful for thinking, platforms excel at acting through workflows, data context, and determinism.
Counterintuitively, McDermott calculates that replicating a simple ServiceNow application with a language model would cost 10 times more, factoring in GPU factories, tokens, human capital, and rebuilding costs. "People that run businesses understand that people make mistakes. They never will forgive software for making a mistake." Businesses need platforms that integrate AI as a control tower for agentic reinvention, connecting hyperscalers, models, and systems of record. ServiceNow's moves into security with Armis and agentic tools like Moveworks show how to make AI practical for global enterprises.
McDermott's philosophy is that human connection and agency matter more than ever; AI serves to amplify human ambition, not replace it. Companies are moving from AI experiments to mainstream agentic reinvention, with ServiceNow enabling implementations in under 30 days and agents handling 90% of customer service cases. The result is leaner operations, higher productivity, and expanding margins without massive headcount growth.
查看原文 →
ServiceNow CEO Bill McDermott, who started his entrepreneurial journey by buying a deli at 16 and went on to lead giants like SAP and now ServiceNow, shares hard-won lessons on leadership and the future of enterprise tech in the AI age. From understanding customers intimately in his deli days to battling for his first sales job at Xerox, McDermott emphasizes that customer focus, resilience, and human connection are timeless—especially now, when AI risks eroding them. He argues that while LLMs are powerful for thinking, platforms excel at acting through workflows, data context, and determinism.
Counterintuitively, McDermott calculates that replicating a simple ServiceNow application with a language model would cost 10 times more, factoring in GPU factories, tokens, human capital, and rebuilding costs. "People that run businesses understand that people make mistakes. They never will forgive software for making a mistake." Businesses need platforms that integrate AI as a control tower for agentic reinvention, connecting hyperscalers, models, and systems of record. ServiceNow's moves into security with Armis and agentic tools like Moveworks show how to make AI practical for global enterprises.
McDermott's philosophy is that human connection and agency matter more than ever; AI serves to amplify human ambition, not replace it. Companies are moving from AI experiments to mainstream agentic reinvention, with ServiceNow enabling implementations in under 30 days and agents handling 90% of customer service cases. The result is leaner operations, higher productivity, and expanding margins without massive headcount growth.