Curated News
By: NewsRamp Editorial Staff
August 25, 2026
AI Adoption Metrics Are Wrong: Measure Outcomes, Not Tool Usage
TLDR
- ServiceNow's AI overlay unifies fragmented systems, giving companies a competitive edge by measuring outcomes rather than tool adoption.
- ServiceNow's AI control tower integrates 15 LLMs and 100 systems, enabling a unified agentic overlay to streamline workflows and reduce chaos.
- Shifting focus to outcomes and discretionary effort fosters employee well-being, addressing burnout and the 'am I enough' dialogue for a better workplace.
- John Phillips, shaped by refugee camp experiences, argues that skills are universal but opportunity is not, highlighting a unique perspective on talent.
Impact - Why it Matters
This discussion matters because it challenges the prevailing approach to measuring AI success in the workplace. As companies pour billions into AI tools, they risk wasting resources on technology that doesn't improve productivity or employee well-being. By shifting the focus from adoption rates to actual outcomes, leaders can better align AI investments with business goals and human performance. The insights from ServiceNow's John Phillips offer a roadmap for cutting through the chaos of fragmented AI agents, ultimately helping organizations achieve real gains and avoid the 'train wreck of productivity' that many are facing today.
Summary
The August 24, 2026 episode of You Should Know, hosted by Ryan Leary and William Tincup, welcomes John Phillips, Group Vice President of Employee Experience at ServiceNow, for a candid conversation about why AI adoption is being measured the wrong way. Phillips argues that counting tool usage misses the point entirely. What matters is whether jobs get done faster, with less friction, and with better outcomes for both the employee and the business. The discussion lands as CHROs face growing pressure to prove AI productivity gains across increasingly fragmented technology stacks.
Across roughly an hour, the conversation moves through several distinct threads pulled directly from Phillips' work leading ServiceNow's employee workflows business:
- Why the current AI landscape is a train wreck of productivity caused by every system of record shipping its own agent.
- The two-sided value exchange between employee and employer, and what happens to the 23 hours a tool claims to save you.
- Discretionary effort versus engagement surveys, and why hyper-personalization beats one-size-fits-all pulse data.
- The pre-COVID versus post-COVID collapse of work boundaries, burnout, and the am I enough internal dialogue.
- ServiceNow's AI control tower vision as an agentic overlay that stitches together 15 LLMs and 100 systems.
Phillips is blunt about where the industry sits today. Every system of record is now got their little AI agent and it's creating chaos for these practitioners, he tells the hosts. We're watching this like train wreck of productivity. On measurement, he predicts a fast pivot: 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. On human performance, he adds a line that resonates with both hosts: High performance has both extreme focus and extreme recovery. It's in any environment, the highest performers in the world have those things.
The episode digs into ServiceNow's approach of layering an agentic companion across existing systems rather than ripping and replacing them. Phillips describes customers arriving with eight purchased AI tools plus one they built themselves, none of which talk to each other. He connects this to a broader philosophy shaped by time spent in refugee camps, arguing that skills and talent is universal and opportunity is not. Tincup revisits his long-standing critique of engagement surveys, pushing Phillips on whether discretionary effort is the truer metric, while Leary shares a personal saga of applying to Home Depot and never receiving so much as an acknowledgment email.
About You Should Know
You Should Know, part of the WRKdefined Podcast Network based in Arlington, Texas, is 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.
Source Statement
This curated news summary relied on content distributed by Newsworthy.ai. Read the original source here, AI Adoption Metrics Are Wrong: Measure Outcomes, Not Tool Usage

