The conversation around artificial intelligence in the workplace has been dominated by adoption metrics, but ServiceNow's John Phillips is challenging that approach. In a recent episode of the podcast 'You Should Know,' Phillips, Group Vice President of Employee Experience at ServiceNow, argued that counting how many employees use AI tools misses the point entirely. What truly matters, he says, is whether jobs are completed faster, with less friction, and with better outcomes for both employees and the business.
Phillips was blunt 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.' This chaos stems from a fragmented technology landscape where each system ships its own agent, none of which communicate with each other. Phillips predicted a shift in how AI success is measured: '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, which aired August 24, 2026, delved into the two-sided value exchange between employee and employer. Phillips highlighted the importance of discretionary effort over traditional engagement surveys, a topic Tincup has long critiqued. 'High performance has both extreme focus and extreme recovery,' Phillips noted. 'It's in any environment, the highest performers in the world have those things.' This perspective is particularly relevant as CHROs face mounting pressure to prove AI productivity gains across increasingly complex technology stacks.
ServiceNow's approach involves layering an agentic companion across existing systems rather than replacing them. Phillips described customers arriving with eight purchased AI tools plus one they built themselves, none of which integrate. This fragmentation is a major barrier to realizing AI's potential. He connected this to a broader philosophy shaped by his time in refugee camps, arguing that 'skills and talent is universal and opportunity is not.'
The discussion also touched on the collapse of work boundaries post-COVID, leading to burnout and the internal dialogue of 'am I enough.' Phillips emphasized the need for hyper-personalization in employee experience, moving beyond one-size-fits-all pulse surveys. He outlined ServiceNow's AI control tower vision, an agentic overlay that stitches together 15 large language models and 100 systems, aiming to create a cohesive workflow.
Leary shared a personal story of applying to Home Depot and never receiving an acknowledgment email, illustrating the disconnect between employer and employee expectations. The episode, part of the WRKdefined Podcast Network based in Arlington, Texas, reaches over 3.9 million monthly listeners. It is available now on major podcast platforms.
