Most conversations about AI focus on how much more work we can get done. Ray'n challenged that assumption entirely.
Her perspective is simple: if AI saves us an hour, our first instinct shouldn’t be to immediately fill that hour with more work. The real opportunity is deciding intentionally how that time gets redeployed.
She shared a powerful analogy about the washing machine. While it dramatically reduced the time spent doing laundry, it also changed how people spent their time and how they connected with one another. The same thing is happening with AI.
“If we aren’t mindful of what that’s removing and what we refill that with, I don’t think it’s necessarily a wise path forward.”
The question for leaders isn’t just, “How much time did AI save?” It’s, “What are we doing with the time we got back?”
Because if we don’t answer that question intentionally, work will answer it for us.
One of the most thought-provoking ideas from the conversation was Ray'n’s belief that the return on AI investment shouldn’t be measured solely by productivity.
She pointed to decades of research showing that rest, exercise, learning, recovery, and employee engagement all improve performance and business outcomes. Yet when AI creates efficiency gains, many organizations immediately reinvest every minute into more work.
Instead, she argues that organizations should view some of those gains as an investment in people.
“I guarantee you, and I can feel it, I know it, I am the better leader at the end of that hour of redeploying it than if I would’ve just put more work back into that hour.”
This doesn’t mean lowering standards.
It means recognizing that healthier, more energized people often produce better outcomes than exhausted people operating at maximum utilization.
You don’t need a company-wide initiative to start changing how people experience work.
Ray'n shared a simple practice she’s piloting with her team. If a meeting ends early, employees are encouraged to use that reclaimed time for themselves—not email, Slack, or another meeting.
“For the next 11 minutes, you have to redeploy it into something you want to do for you.”
What makes this powerful is that it changes how people think about time.
Instead of assuming every spare minute belongs to work, employees start seeing those moments as opportunities to refill their own energy. Over time, those small moments create noticeable differences in engagement, focus, and well-being.
Ray'n believes many traditional performance review processes are heading toward a reckoning.
Why?
Because AI can already generate performance reviews, write feedback summaries, and produce documentation at scale. If everyone can create polished reviews in seconds, the documentation itself becomes less meaningful.
“None of this is really real or value added.”
That doesn’t mean performance management goes away.
It means HR leaders need to revisit why these systems exist in the first place.
Many organizations use reviews for compensation decisions, legal documentation, succession planning, and talent assessment. Those needs aren’t disappearing. But the mechanisms we’ve relied on for decades may no longer be fit for purpose.
The challenge for HR leaders is to separate what’s truly valuable from what’s simply tradition.
One of the findings from Moo’s recent research was that employees increasingly feel organizations are prioritizing speed over quality.
Ray'n believes part of the issue starts with leadership.
Executives are feeling immense pressure to move faster, deliver more, and respond to constant change. But leaders have a responsibility to process that pressure before passing it directly to their teams.
“Our jobs as leaders is to pause and mindfully think how we are cascading those messages and, more importantly, that energy down.”
This is especially important for HR leaders.
We’re often the people who can see second- and third-order consequences before anyone else. We understand how decisions ripple across teams, cultures, and employee experiences.
Speed matters.
But so does knowing where speed is appropriate—and where thoughtful decision-making still creates better outcomes.
Perhaps the biggest theme from the entire conversation was Ray'n’s rejection of the idea that leaders must choose between business performance and humanity.
Too often, these are treated as competing priorities.
She sees them as the same thing.
The foundation is surprisingly straightforward:
That clarity helps employees perform better while also reducing uncertainty, stress, and frustration.
“Good business is good human.”
One example she shared was feedback. Avoiding difficult conversations may feel kinder in the moment, but it often hurts people in the long run. Helping someone understand where they need to improve today better prepares them for future opportunities tomorrow.
Leading with humanity isn’t lowering the bar.
It’s helping people clear it.