In a recent episode of the podcast "You Should Know," John Phillips, Group Vice President of Employee Experience at ServiceNow, made a compelling case for rethinking how organizations measure the success of artificial intelligence initiatives. Phillips, who leads ServiceNow's employee workflows business, asserted that counting how often employees use AI tools is a flawed approach. Instead, he emphasized the importance of measuring whether jobs are completed faster, with less friction, and with better outcomes for both employees and the business.
The conversation, hosted by Ryan Leary and William Tincup, comes at a time when chief human resource officers are under increasing pressure to demonstrate productivity gains from AI investments. Phillips did not mince words about the current state of the industry, describing it as a "train wreck of productivity." He pointed out that every system of record now ships its own AI agent, creating chaos for practitioners who must navigate a fragmented technology landscape. "Every system of record is now got their little AI agent and it's creating chaos for these practitioners," he said.
Phillips predicted a significant shift in how AI success is evaluated. "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," he explained. This perspective aligns with a broader trend toward outcome-based metrics in the workplace, where the focus is on tangible results rather than activity metrics.
The discussion also delved into the two-sided value exchange between employees and employers. Phillips raised a provocative question about the 23 hours a tool claims to save: what happens to that time? He suggested that if the time saved is simply filled with more work, the value is lost. This ties into the concept of discretionary effort, which Tincup argued is a more meaningful metric than traditional engagement surveys. Phillips agreed, noting that hyper-personalization in understanding employee needs is more effective than one-size-fits-all pulse surveys.
The episode also explored the collapse of work boundaries since the COVID-19 pandemic, leading to burnout and an internal dialogue of "am I enough?" Phillips emphasized the importance of recovery in high performance, stating, "High performance has both extreme focus and extreme recovery. It's in any environment, the highest performers in the world have those things."
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. ServiceNow's vision is an AI control tower that acts as an agentic overlay, stitching together 15 large language models and 100 systems to create a cohesive workflow.
Phillips also connected his philosophy to personal experiences, including time spent in refugee camps, arguing that "skills and talent is universal and opportunity is not." This perspective underscores the importance of democratizing access to tools and opportunities in the workplace.
The episode, part of the WRKdefined Podcast Network based in Arlington, Texas, has more than 3.9 million verified monthly listeners. It offers unfiltered conversations for people invested in the evolving world of work. The episode with John Phillips is available now wherever podcasts are heard.
