The conversation around artificial intelligence in the workplace has been dominated by adoption metrics, but John Phillips, Group Vice President of Employee Experience at ServiceNow, argues that this approach is fundamentally flawed. In a recent episode of the podcast "You Should Know," Phillips made the case that counting how many employees click on an AI tool misses the point entirely. What matters, he said, is whether jobs get done faster, with less friction, and with better outcomes for both the employee and the business.
Phillips did not mince words about the current state of AI in the enterprise. "Every system of record is now got their little AI agent and it's creating chaos for these practitioners," he told hosts Ryan Leary and William Tincup. "We're watching this like train wreck of productivity." His critique comes as CHROs face growing pressure to prove AI productivity gains across increasingly fragmented technology stacks. He predicts a rapid shift in focus: "We're going to quickly stop talking about AI adoption as tool usage, and we're going to start looking at the outcomes and jobs to be done."
The episode, recorded on August 24, 2026, delved into several key themes from Phillips' work leading ServiceNow's employee workflows business. One central topic was the two-sided value exchange between employee and employer. Phillips questioned what happens to the 23 hours a tool claims to save you, suggesting that the real value lies in how that time is reinvested. He also contrasted discretionary effort with traditional engagement surveys, advocating for hyper-personalization over one-size-fits-all pulse data.
Phillips also explored the collapse of work boundaries in the post-COVID era, linking it to burnout and the internal dialogue of "am I enough." He emphasized that high performance requires both extreme focus and extreme recovery, a principle that resonates across any environment. "High performance has both extreme focus and extreme recovery. It's in any environment, the highest performers in the world have those things," he said.
ServiceNow's approach, as described by Phillips, involves layering an agentic companion across existing systems rather than ripping and replacing them. He noted that customers often arrive with eight purchased AI tools plus one they built themselves, none of which communicate with each other. This fragmentation is a major driver of the productivity chaos he describes. ServiceNow's vision is an AI control tower that acts as an agentic overlay, stitching together 15 LLMs and 100 systems to provide a unified layer of intelligence.
The conversation also touched on broader societal issues. Phillips connected his philosophy to time spent in refugee camps, arguing that "skills and talent is universal and opportunity is not." This perspective informs his approach to workforce development and the role of AI in democratizing opportunity.
Tincup revisited his long-standing critique of engagement surveys, pushing Phillips on whether discretionary effort is a truer metric. Leary shared a personal saga of applying to Home Depot and never receiving an acknowledgment email, illustrating the disconnect between technology and human experience.
The episode is part of the WRKdefined Podcast Network, based in Arlington, Texas, and co-hosted by Ryan Leary and William Tincup. The show tackles pivotal leadership challenges shaping the modern workplace, from AI and workforce dynamics to career mobility and hiring technology. With more than 3.9 million verified monthly listeners, it delivers unfiltered conversations for people invested in the evolving world of work. The episode with John Phillips of ServiceNow is available now wherever podcasts are heard.
