Volition Is the New Advantage

Last week, I sat down to review pre-reads before a leadership team offsite. Six documents, all well-formatted, clearly structured, and delivered ahead of schedule.

I read through all six and felt something I could not describe at first. Nothing surprised me. Not one argument pushed against my assumptions. Not one recommendation that signals someone genuinely wrestled with the tradeoffs. The documents were polished in a way that felt pre-resolved; the hard thinking had been smoothed away.

I have heard other executives describe the same experience. More output than ever, faster turnaround, fewer rough edges, and yet a growing unease that the thinking underneath has gotten thinner.

David Brooks recently wrote in The Atlantic that when intelligence is plentiful, volition is valuable. One sentence that beautifully captures what is shifting. AI has made competent answers cheap; the synthesis, the framework, the first draft, the structured recommendation are all available on demand. When a capability becomes universally accessible, it stops being a differentiator. What differentiates your organization is what your people choose to do with it.

The real risk is not the obvious underperformer. It is the capable, ambitious team moving fast, sounding smart, and outsourcing the cognitive work that builds judgment. AI amplifies the gap between those who use it to deepen thinking and those who use it to minimize it. On a team, that gap becomes cultural, and the standard you set determines which direction compounds.

The symptoms are specific enough to recognize. Recommendations arrive faster but feel less differentiated; teams produce more material, but fewer people can defend the argument underneath it. AI-generated work often sounds coherent before it is deeply true, presenting in a confident voice that can create the illusion of alignment.

When everyone draws from the same tools with similar prompts, the output converges: same language, same frameworks, same safe conclusions. The room gets polished consensus instead of creative abrasion.

There is also a longer-term cost that is easy to miss in the short run. When people rely on AI for the first framing, the first hypothesis, or the first recommendation, they lose the repetitions that once built discernment. They may still refine well, but fewer people know how to originate. Over time, that weakens your decisions and your culture.

AI can compress the time it takes to produce an answer but it should not replace the organizational muscle required to ask better questions, surface real tradeoffs, and make sound decisions under pressure.

I keep returning to the idea of human becoming: that we are not fixed, but shaped by what we repeatedly do and what we choose to engage with. That is as true for organizations as it is for individuals. Every time a team delegates the first cognitive move to AI, they practice a particular relationship with difficulty, one where they show up after the hard part is already done.

As leaders, we are not just managing output. We are designing the conditions under which judgment either develops or atrophies. The culture you build around AI use, what you reward, what you require, and what you model, determines which direction your organization evolves.

Intelligence is becoming ambient; it will be everywhere, available to everyone, embedded in every workflow. Volition, on the other hand, must be chosen every day, in the standards you set, the friction you preserve, and the thinking you require before the machine takes over.

THE SHIFT

The fastest way to lead well in the AI age is to shift what your teams optimize for. Here are the shifts to make:

Answers → Arguments

Require your teams to bring a point of view before they bring AI synthesis. Ask for the tradeoffs, not just the recommendation. If someone can generate polished output but cannot explain the reasoning underneath it, you have speed without understanding. The standard to set: AI sharpens the argument; it does not replace the thinking that gets sharper through effort.

Ease → Chosen Friction

Protect the moments that force real thought. Ask your team to outline before they prompt, form a view before they request synthesis, and debate before they optimize. The friction is where judgment gets built. When people do the hard cognitive work first, AI amplifies their thinking; when they skip that step, AI substitutes for it, and the team walks away with polished work they did not fully earn.

Output → Capability

Change the measuring question. Not just "Did we produce good work?" but "Is our judgment compounding?" Are your people seeing problems more clearly than they did six months ago? Are their instincts sharper and their thinking more original? If AI is doing its job as a lever, those things should be true. If they are not, treat the gap between volume and judgment as an early warning sign.

THE STRATEGY

Three leadership practices to keep volition in the driver's seat:

Require a first draft of thinking

Before anyone brings AI synthesis to a meeting, ask them to bring their own framing, hypothesis, or recommendation first. Make original thinking the price of entry, and AI the tool that pressure-tests it.

Reward challenge, not just polish

Celebrate the person who surfaces the hidden tradeoff, questions the obvious path, or improves the quality of the decision. Fluent output and strong reasoning are not the same thing; make sure your culture knows the difference.

Audit for capability, not just throughput

Look at the people on your team and ask: are they developing sharper judgment, or just generating more deliverables? One compounds over time. The other plateaus, and the gap between the two becomes visible exactly when you need your best thinking most.

THE STACK

If this issue landed, the next step is building the environment and systems that make agentic thinking sustainable across your organization. The FlipWork Sprint is where we do exactly that: the tools, practices, and operating rhythms for agentic-human reinvention, so your teams can use AI at full power without losing the judgment that makes them irreplaceable.

THE SHELF

Thinking, Fast and Slow by Daniel Kahneman

Kahneman spent a career documenting how the brain defaults to ease, and what it costs us when we let that default run unchecked. In an age where AI makes the easy path even more available, this book is the intellectual companion to everything in today's issue. It is a reminder that the pull toward cognitive convenience is not a character flaw; it is a design feature every leader has to actively work against.

THE SIGNAL

The Only Constant with Lasse Rindom
"On Cognitive Atrophy, Enterprise Metabolism, and the Resilience of Craftsmanship"

In a recent podcast conversation on The Only Constant, I revealed what happens when cognitive atrophy at the individual level becomes enterprise metabolism at scale: the pace at which an organization can absorb change, generate new thinking, and act with agency. We also explored why craftsmanship still matters as machines take over more of the work, and what leaders need to protect in their cultures.

Where is AI being used to deepen thinking, and where is it being used to minimize thinking?

Until next time...stay curious!

Cheers,
Nikki