In a recent episode of the podcast "You Should Know," John Phillips, Group Vice President of Employee Experience at ServiceNow, made a compelling case that organizations are measuring AI adoption incorrectly. Phillips argues that focusing on tool usage statistics misses the true impact of AI, which should be evaluated based on work outcomes—whether jobs are completed faster, with less friction, and with improved results for both employees and the business. This conversation comes at a time when CHROs are under increasing pressure to demonstrate AI's productivity gains across fragmented technology ecosystems.
Phillips did not mince words about the current state of AI in the workplace, describing it as a "train wreck of productivity." He pointed out that every system of record now ships with its own AI agent, creating chaos for practitioners who must navigate a disjointed landscape. Instead of celebrating adoption numbers, Phillips predicts a shift: "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." This perspective aligns with ServiceNow's approach of layering an agentic companion across existing systems rather than replacing them, helping customers integrate multiple AI tools that currently lack interoperability.
The discussion also delved into the two-sided value exchange between employee and employer, questioning what happens to the 23 hours a tool claims to save. Phillips emphasized the importance of discretionary effort over engagement surveys, suggesting that hyper-personalization yields better insights than one-size-fits-all pulse data. He also touched on the post-COVID collapse of work boundaries, which has exacerbated burnout and triggered an internal dialogue of "am I enough" among employees.
Phillips highlighted ServiceNow's AI control tower vision, an agentic overlay designed to coordinate 15 large language models and 100 systems. This approach aims to streamline workflows and deliver tangible outcomes, addressing the fragmentation that plagues many organizations. He noted that customers often arrive with eight purchased AI tools plus one they built themselves, none of which communicate with each other—a problem ServiceNow seeks to solve.
The episode also featured insights on human performance, with Phillips stating, "High performance has both extreme focus and extreme recovery. It's in any environment, the highest performers in the world have those things." This philosophy is rooted in his experiences in refugee camps, where he learned that "skills and talent is universal and opportunity is not." Co-host William Tincup revisited his critique of engagement surveys, pushing Phillips on whether discretionary effort is a truer metric, while Ryan Leary shared a personal story of applying to Home Depot without receiving an acknowledgment.
As AI continues to permeate the workplace, Phillips' message serves as a critical reminder that the ultimate measure of success lies not in how many times a tool is used, but in the outcomes it delivers for individuals and organizations. The episode is available on the WRKdefined Podcast Network, which boasts over 3.9 million monthly listeners.
