Let AI Make Room for What Only You Can Do

AI can help leaders create more capacity by taking on repetitive, administrative, and execution-heavy work. But the real opportunity isn’t simply doing more in less time. It’s using that capacity for the work where human judgment, experience, creativity, and relationships create the most value. Dan Cumberland and Dr. J.J. Peterson explore how to decide what to hand off to AI—and why leaders should be just as intentional about what they do with the time and attention they get back.

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Most conversations about using AI at work eventually come back to productivity.

How much faster can a task be completed? What can be automated? How much more can a person or team produce?

Those can be useful questions. But entrepreneur and product builder Dan Cumberland believes AI presents leaders with a more interesting opportunity: reconsidering where they apply themselves in the work.

If technology can handle more of the execution, the goal does not have to be filling the newly available capacity with more execution. It can be creating room for the work where human attention creates greater value.

Start With the Work That Takes More Than It Gives

Dan recommends starting with a simple audit of the work already on your plate.

Look for tasks you dislike, work you would gladly delegate, and responsibilities that consume a disproportionate amount of energy. That does not necessarily mean looking only for tasks that take hours.

Dan calls this idea “felt time.” A task might technically require only ten minutes, but if someone spends three days thinking about it, avoiding it, or dreading it, its real cost is much greater than those ten minutes.

Those are useful places to begin experimenting with AI.

Administrative work, manual inputs, information gathering, initial drafts, and other execution-heavy tasks can consume attention without necessarily requiring a leader’s highest level of thinking.

Removing some of those “paper cuts,” as Dan describes them, can create room to move into higher-level work.

But that leads to a second question that may be even more important.

Where Do You Actually Create the Most Value?

If AI can perform a task you have traditionally associated with your work, Dan argues that it is worth asking what sits underneath that task.

J.J. uses website development as an example. Someone might describe their work by saying, “I build websites.” But building the website may only be the execution layer.

The deeper value could be helping a company clarify its message, understand its customers, develop a strategy, or create greater meaning and connection through the way it communicates.

AI may be able to take on more of the execution involved in building the website. That does not automatically eliminate the deeper work.

Instead, it can expose it.

As Dan puts it, AI is forcing people to ask, “What is the real value that you can bring?”

For leaders, that question can extend well beyond individual tasks. Where does experience improve a decision? Where does judgment change the outcome? Where does a relationship matter? Which problems deserve deeper thinking?

Those are places where newly available capacity can become more valuable than simply producing another deliverable.

Use AI for Breadth, Then Apply Human Attention to Depth

Dan’s own content strategy offers a practical example.

He has used AI to generate more than 600 articles for one of his businesses. Rather than investing the same amount of personal time into every article, he watches to see which pieces attract actual human traffic.

Then he goes back.

The articles that demonstrate real interest receive more of his attention. He reads them, corrects them, improves them, and works to make them genuinely good.

AI allows him to explore at a scale that would otherwise be difficult. The response helps him identify where deeper investment may be worthwhile.

That creates a different model for thinking about AI.

Instead of:

AI helps us make more, so we should make more.

The process becomes:

AI helps us expand what is possible, and human judgment helps us decide what deserves more attention.

For leaders facing more possibilities than they could ever realistically pursue, that distinction matters.

More Capacity Does Not Have to Mean More Work

There is also a risk hidden inside all that new capacity.

AI makes many things easier to create, automate, and build. Dan admits that possibility can be addictive. He can find himself building internal tools simply because he can.

He has gone so far as to instruct his own AI agents to challenge him when that happens. Is this moving the business forward? Is this serving clients? Is this actually the work he is here to do?

The questions matter because AI can create capacity and consume it at the same time.

A leader can automate five tasks and immediately add seven more. A team can become dramatically more efficient without becoming any more focused. More output can simply become the new expectation.

That is why deciding what AI can do is only part of the leadership challenge.

Leaders also have to decide what is worth doing.

Decide What Deserves More of You

There is no requirement to use every AI tool, automate every process, or turn every reclaimed hour into additional output.

J.J.’s takeaway from his conversation with Dan was simple: just because you can do something does not mean you should—or that you have to.

A practical starting point is to identify the work you genuinely want off your plate. Ask where AI might help, then choose one or two places to experiment rather than attempting to transform everything at once.

After that, pay attention to what the new capacity makes possible.

Maybe it creates more room for strategic thinking. Maybe it gives a team more time with customers. Maybe it allows someone to improve work that is already showing promise. Or perhaps some of that capacity simply does not need to become work at all.

The opportunity AI creates is not only greater efficiency.

It is greater choice about where human attention goes next.

Technology can do more of what technology does well. Leaders still get to decide what deserves more of them.

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