First, Let Me Be Clear About What AI Does Well

I use AI tools every day.  They help me research faster, draft faster, and process information at a scale that would have required a much larger team ten years ago.  For a sole practitioner running a fractional COO and CRO practice, that capacity multiplier is genuinely significant.

In client work, AI helps me synthesise large volumes of operational data, prepare diagnostic frameworks, and produce first-draft documents that I then shape with experience and judgement.  It is not doing the thinking.  But it is doing a lot of the groundwork, and that frees me to spend more time on the parts of the work that actually require someone who has been in the room.

The businesses I work with are finding similar applications.  Automating repetitive administrative tasks.  Generating first drafts of standard documents.  Processing customer feedback at scale.  Summarising meeting notes.  These are real productivity gains and I would not want to understate them.

AI is a genuine capacity multiplier.  For the right tasks, applied with the right judgement, it delivers real value.  That is not the problem.

The Problem Is the Noise

The problem is that AI has become the dominant subject of professional conversation, and in becoming dominant it has crowded out almost everything else.

Think about what was filling that space before.  Operational insight.  Hard-won lessons from businesses that tried something and failed, or tried something and succeeded in unexpected ways.  Genuine perspectives from people who have spent years in specific industries and built up knowledge that cannot be prompted into existence.  Real observations from real client situations that illuminate a problem in a way that generic content cannot.

That content has not disappeared.  But it has become harder to find, because the feed is full of AI-generated posts about AI-generated productivity, and the signal-to-noise ratio has collapsed.

And while we are here: stop listing AI as your middle name.  Stop forcing it into your company name.  Just tell people what you actually deliver.

I noticed this shift clearly when I started reviewing my own LinkedIn feed with a more critical eye.  The posts that stopped me were almost never about AI.  They were the ones where someone described a specific situation, named a real tension, and offered a perspective that came from experience rather than from a prompt.  Those posts were rarer than they used to be.  And they stood out precisely because everything around them looked the same.

What AI Cannot Do

Here is where I want to be direct, because I think this matters for anyone making decisions about how they run their business.

AI cannot walk into a business and feel the tension in the room.  It cannot sit across from a business owner and read the gap between what they say is happening and what the numbers suggest is actually happening.  It cannot ask the question that makes a room go quiet, or know when to push and when to listen.  It cannot bring thirty years of operational experience to bear on a problem it has never actually encountered.

When I ask a business owner what happens if their best person gets hit by a bus, and the room goes quiet, that silence is information.  It tells me something about how the business is run, what conversations have not been had, and where the real risk sits.  No AI tool produces that insight.  It comes from being present, asking the right question, and knowing what to do with the answer.

The same applies to the observations I have made this week across two client businesses.  Staff who started in one role and have quietly migrated to a completely different one, with no updated documentation.  Contingency plans that exist for the owner but not for the three people the business actually cannot function without.  Operational bottlenecks that everyone in the building knows about but nobody has been asked to name out loud.

These are not findings that emerge from a prompt.  They emerge from structured inquiry, operational experience, and the ability to connect what you are hearing with what you have seen in twenty other businesses over thirty years.  That is the work.  AI does not do the work.

The Businesses That Will Win

My observation, having worked with manufacturers and B2B businesses across Australia, the UK, and Europe for three decades, is that the businesses that compound value over time are not the ones that adopt every new tool earliest.  They are the ones that know what the tool is for and what it is not for, and they do not confuse the two.

The businesses I worry about are the ones that are using AI to generate their proposals, their client communications, their strategic plans, and their LinkedIn content, and believing that the output represents genuine thinking.  It does not.  It represents a well-organised synthesis of existing information.  That has value.  But it is not strategy, and it is not operational leadership, and it is not the thing that gets a business from $5M to $15M without breaking.

Using AI to Create Capacity, Not to Replace Judgement

The frame I use with my own practice and encourage in clients is simple.  AI creates capacity.  Judgement fills it.  The goal is to use AI to eliminate the low-value, time-consuming tasks that consume bandwidth without generating insight, and to redirect that freed capacity toward the work that actually requires a human being with experience and accountability.

A fractional COO using AI to draft a process document in half the time is a good use of the technology.  The same fractional COO using AI to diagnose an operational problem without ever visiting the business is not.  The tool is only as useful as the judgement applied around it.

The Content Question

For businesses creating content, the AI noise problem has an unintended upside.  If nine out of ten posts on LinkedIn are now visibly AI-generated, then content that is clearly written by a human being, from a specific point of view, grounded in real experience, stands out by default.  The bar for differentiation has actually lowered, because so much of what surrounds it looks identical.

This is why I write from what I actually observe in client businesses.  Not because I lack access to AI writing tools, but because the observation itself is the value.  The pattern I noticed this week across two businesses, the question that made the room go quiet, the insight that only emerges when you have seen the same problem in enough different contexts to recognise what it really is.  That is not content.  That is the record of real work.

A Practical Note for Business Owners

If you are a business owner reading this and feeling the pressure to have an AI strategy, to be seen to be adopting the technology, to talk about it in your own content and communications, I would offer a gentle reframe.

The most important things in your business right now are almost certainly not AI-related.  They are operational.  A process that is creating unnecessary friction.  A person whose knowledge is not documented.  A pricing model that does not reflect the value you actually deliver.  A capacity constraint that is limiting your growth.  A founder dependency that will become a problem the moment you try to step back.

These are the problems that compound quietly and cost real money.  They were there before AI became a topic of conversation, and they will be there after the next thing takes its place.  Addressing them is the work.

I use AI to help me do that work faster.  But the work itself requires someone in the room.  If you would like to talk about what that looks like for your business, book a discovery call and we can start with a straightforward conversation about where the real constraints sit.

The Bottom Line

AI is a useful tool.  It is not a strategy, not a substitute for experience, and not the most important conversation in business right now.

I will keep using it to create capacity.  I will keep writing from what I actually see in the businesses I work with.  And I will keep asking the questions that make rooms go quiet, because that is where the real work starts.

The feed will keep filling with AI content.  The businesses that cut through it will be the ones talking about something else entirely.