This week on Frequency, Jenni Field and Chuck Gose look at the data behind why employees lose motivation, the question of whether internal comms has become too comfortable to be useful, and two perspectives on where the real friction in AI transformation actually lives.
1️⃣ The first story comes from the Predictive Index, which surveyed more than 1,000 US employees in 2026 and found that 78% began their current role feeling motivated — but only 16% say their work always feels meaningful. For Jenni, the data points to something organisations keep getting wrong: the assumption that meaning, once communicated, sticks. Chuck zeroes in on the clarity finding and makes the case that it's also one of the more fixable problems: leaders just need to tell people what to focus on, and then actually hold that line from week to week.
2️⃣ The second conversation is sparked by a provocative LinkedIn post from Simon Cavendish, chair of the IABC EMENA and a senior IC consultant, who argues that internal comms has become addicted to alignment with too many IC teams producing beautifully crafted messages for fundamentally bad decisions. Access to leadership, he says, has become more important than actually using that access to push back. The quote Jenni and Chuck both land on: being in the room isn't the win — what we do in the room is the win.
3️⃣ The third story takes on one of the biggest assumptions shaping how organisations measure AI right now: that adoption is the goal. Charter's Brian Elliott brought together practitioners from Atlassian, Zapier, Udemy, and others for a closed-door forum on AI measurement, and the conclusion from those furthest along in their AI journeys is that adoption as a metric is quietly being abandoned. Microsoft's summary of the shift: we used to pay attention to adoption, now we just pay attention to performance. Jenni draws a direct line back to lessons from digital transformation programmes, where teams chased adoption numbers without ever anchoring to business outcomes. Chuck pushes back a little: 97% adoption of anything is a significant signal.
4️⃣ The final story comes from Rebecca Hinds, writing in Inc., who makes the case that the real blocker to AI transformation isn't the tools — it's the narrative leaders encode into their culture before the rollout even starts. Drawing on research from Bob Sutton's AI Transformation 100 report, she surfaces a hard finding: when leaders deploy AI in ways that strip craft and human touch from work, what's left is a hollow shell with little meaning. Chuck pushes back on Jenni's earlier framing that AI change is like any other change campaign — he thinks the scale of what's shifting makes it categorically different. Jenni also flags that ethical dimensions are increasingly in focus, pointing to new AI ethics guidance being developed through CIPR Inside, and the importance of maintaining the human check in any AI-assisted process.
Want to find out more about Chuck’s work and ICology - check out the website and how to become a member here: https://www.joinicology.com/
Jenni’s a regular speaker and consultant on leadership credibility and internal communication, you can find out more about how to learn from her and work with her here: https://thejennifield.com/
Articles mentioned in this episode:
Running on Empty: How Modern Work Created a Motivation Crisis
Lead, Follow or Choice: The Choice Facing Internal Comms
Why Four Tech Companies Say Adoption Is the Wrong AI Metric
The Biggest Threat to Your AI Strategy Isn't the Technology