Scaling Global Organizations in the Age of AI with ServiceNow CEO Bill McDermott

In this episode Bill McDermott explains why swapping a mature SaaS platform for a large language model is financially prohibitive. He breaks down the hidden expenses of GPU farms, token pricing and the human labor required to rebuild workflow logic, estimating costs up to ten times higher than maintaining an existing enterprise solution. By quantifying these factors, McDermott underscores that AI should complement, not replace, the robust capabilities of platforms like ServiceNow, which already embed years of integration, compliance, and process automation.

The conversation then pivots to the timeless principle of customer obsession, illustrated through McDermott’s teenage deli venture. He recounts buying the deli for a few thousand dollars, leveraging supplier relationships, and serving three distinct customer segments—blue‑collar workers, seniors, and gamers. That early immersion in real‑world service taught him that understanding and delighting customers is the single most predictive metric of business survival, a lesson he carries into the leadership of a multibillion‑dollar AI‑enabled organization.

Finally, McDermott shares his leadership playbook for the AI era: resilience, ambition, and disciplined execution. He describes ServiceNow’s "blueprint for agentic business," a framework that educates CEOs on the distinction between language models and workflow platforms, showing how AI can surface insights while the platform executes actions. By training employees to blend AI recommendations with automated workflows, companies can accelerate decision‑making without sacrificing governance. This approach positions ServiceNow as a bridge between cutting‑edge AI and reliable enterprise operations, reinforcing the message that technology should amplify human connection, not diminish it.