The Leadership Friction  |  Edition No. 25  |  August 18, 2026

The Human Challenge in an AI World  —  Part 1 of 8

AI Won’t Fix a Leadership Challenge

Leaders are automating challenges that were never technology challenges to begin with. This opens an eight-part series on leading through AI, starting with the question every leader has to ask first.

AI is becoming part of everyday business faster than many organizations can fully think through what it means. Leaders are using it to write emails, summarize meetings, analyze information, build processes, create reports, draft policies, support customer service, and reduce administrative work. There is real value in that.

But there is also a risk. Organizations can start using AI to solve challenges that were never technology challenges to begin with. A communication challenge gets handed to AI. An accountability challenge gets turned into a new workflow. A leadership challenge becomes a process challenge. A broken process gets automated.

And for a while, it may even look like things are improving. Until the same friction shows up somewhere else.

The Pattern

AI Can Improve the Work Without Fixing What Is Underneath It

Imagine a leadership team that keeps missing deadlines. Their first instinct may be to introduce an AI project management tool, automate reminders, generate meeting summaries, and create better reporting. Those things may help.

But what if the real challenge is that nobody is clear about who owns the final decision? What if priorities change every week? What if leaders routinely agree to deadlines they know are unrealistic? What if team members are afraid to say when something is falling behind?

The organization does not primarily have a technology challenge. It has a leadership challenge. AI may make the symptoms easier to manage, but it will not resolve the underlying issue.

That distinction matters.

The Diagnostic

Before You Add AI, Diagnose the Friction

When organizations experience friction, I tend to look in three areas. People. Communication. Systems. AI can affect all three, but it does not replace the need to understand what is actually happening.

People. Is the right person responsible for the work? Does that person have the capability and authority to carry it? Are leaders addressing performance issues, or avoiding them? Are managers actually managing? AI can support a person, but it cannot compensate indefinitely for poor role fit, lack of leadership, or weak accountability.

Communication. Are expectations clear? Does everyone understand the priority? Are decisions actually being communicated? Do people know when they are responsible for making a decision versus providing input? An AI-generated summary will not fix a meeting where nobody is willing to say what needs to be said.

Systems. Is the process clear? Does the workflow make sense? Are there unnecessary steps? Are people duplicating work? Does the system support the way the organization actually operates? AI can make a good system more efficient. It can also make a bad system move faster, and that is not always progress.

The Question

One Question I Would Ask Before Automating Anything

Before your organization uses AI to fix a recurring challenge, ask what is causing this challenge now, not what tool could help, not what you could automate, not even how AI could make it faster. Start with the cause.

If the answer is unclear ownership, fix ownership. If it is weak communication, address communication. If it is a poor process, redesign the process.

Then decide where AI belongs. That order matters.

Leadership, Not IT

AI Is a Force Multiplier

AI can accelerate strong work. It can also accelerate confusion. A clear organization may use it to increase capacity, improve information flow, and reduce unnecessary administrative work. An unclear organization may use the same technology and simply create faster confusion.

That is why the AI conversation cannot belong only to IT, operations, or whoever happens to be the most interested in new technology. It is a leadership conversation. Leaders need to understand not only what AI can do, but what is happening inside their organization before they decide where AI should be used.

Look at one challenge in your organization that keeps resurfacing: missed deadlines, poor communication, slow decisions, meetings that go nowhere, repeated mistakes, work that keeps getting handed back and forth. Before you look for an AI solution, ask your team: is this really a technology challenge, or are we trying to use technology to avoid dealing with a People, Communication, or Systems challenge?