What is the 61-point gap?

It's the spread between the 86% of employees who have the skills to use AI (or could pick them up with light training) and the 25% who actually do, per IBM's 2026 study of 2,000 CEOs. That 61-point delta is the single most expensive number sitting in most companies right now. The skill exists. The use does not. Closing it is not a training problem.

Why is AI adoption failing in small businesses and coaching practices?

Because nobody is doing the bridge work. In large orgs, the rollout has been malpractice: licenses dropped into Slack with a shrug, no onboarding, no change management. In small practices like coaching, the problem is time. Coaches don't have a free hour this week to figure out which workflow to rewire first. The skill is reachable. The hour is not.

What is a fractional CAIO and do coaches need one?

A fractional Chief AI Officer is someone who comes into a small business, sees how the work actually moves, rewires one workflow at a time using AI, hands the new system back, and leaves. For a Fortune 500, the CAIO is a full-time hire. For a coaching practice or a $2M consultancy, it's a fractional engagement. Most coaches don't need a full-time AI hire. They need someone to build the bridge between the AI tool they already pay for and the Tuesday afternoon they want back.

Why isn't AI adoption a skills problem?

Because the CEOs themselves said it isn't. 86% of employees already have the skills or could acquire them quickly. 83% of CEOs said AI success depends more on adoption than on the technology itself. If skill were the bottleneck, training would close the gap. It hasn't. The bottleneck is the connection between the people who can use AI and the specific workflows that need it, and almost nobody is doing that connecting work.

What's the first AI workflow a coach should automate?

Post-call intelligence. After every coaching session, your transcript should auto-summarize the session, extract commitments, surface patterns across sessions for that client, and draft a follow-up email. That single workflow saves most coaches 30 to 60 minutes per client per week and immediately raises the perceived quality of every engagement. It's the easiest first bridge because the AI is doing what you already do, just faster and more consistently.

How is this different from 'use ChatGPT for content'?

Content generation is one narrow use case, and it's the one most coaches already know about. The 61-point gap is about the rest of your practice: intake, qualification, post-call notes, follow-up cadence, content repurposing, transcript intelligence, pattern recognition across clients. ChatGPT is a tool. A bridged workflow is a system that runs whether you remember to open the tab or not.

The 61-Point Gap: Why AI Adoption Is Failing Coaching Practices

The Slack Channel With the Unread License

A coach I worked with recently showed me her tool stack on a screen-share. ChatGPT Plus. Claude Pro. A Zapier seat. A Descript subscription. A note-taking app with AI summaries. A real stack of subscriptions, all set up months earlier and all quietly auto-renewing.

She had barely opened any of them in weeks.

She is not lazy. She is not anti-technology. She runs a credentialed, profitable executive coaching practice and her clients adore her. She is exactly the person who should be compounding ahead of her peers right now. She knows it. That is why she set the tools up in the first place.

She just cannot find the hour to figure out which one to actually use, in which workflow, in which order, on which day of her week. So the licenses sit there. Unopened. Auto-renewing while she tells herself she will get to it.

That is the texture of the AI adoption problem inside a coaching practice. It is not a skills story. It is not a courage story. It is a bridge story. And IBM just published the data that proves it is happening at every scale, in every industry, with every size of company.

The Two Numbers

IBM surveyed 2,000 CEOs at companies averaging $5.8 billion in revenue. Two numbers from that study should be taped to every coaching practice wall.

86% of employees have the skills to use AI, or could pick them up with light training.

25% actually do.

That is a 61-point gap between what people can do and what they actually do. The CEOs themselves named the diagnosis. 83% of them said in the same study that AI success depends more on people’s adoption than on the technology. The thesis is sitting in their own data, in their own words, and almost nobody is acting on it.

If you are a coach reading this and you have an unopened ChatGPT tab, you are not behind. You are the rule.

The Pain Is Wider Than Coaching

The reason the C-suite is panicking right now is the same reason your practice feels stuck. They have realized capability without adoption is the most expensive number in the company.

76% of those CEOs have a Chief AI Officer in 2026. One year ago, that number was 26%. The role barely existed twelve months back, and it is now the most contested seat in the executive suite. That kind of jump does not happen because executives are excited. It happens because they are scared.

They are hiring frantically, reshuffling org charts, announcing AI committees, spinning up AI-native sub-units instead of retraining the people they already have. 85% of those CEOs said in the same study that every functional leader, including the CMO, has to become a tech expert. The CMO did not sign up for that when she took the job. Neither did the COO. Neither did anyone else.

This is the backdrop for everything happening inside small coaching practices right now. The pressure is real. The pain is real. The seat is being invented in real time at every scale. Your version of it just has a smaller budget.

The Diagnosis Is Malpractice

I have been saying this on client calls for months and I will say it here.

The reason AI adoption looks like a disaster is not that AI is hard. It is that the rollout has been malpractice.

Large orgs treated a workforce transformation like a software install. Licenses paid for and never logged into. Tools dropped into Slack with a link and a shrug. Policies announced and never trained. No onboarding. No change management. Nobody sitting with the team to walk them through what changes Monday morning. The 86/25 split is exactly what you should expect when the rollout is done that way, and the data confirms it. The skills are there. The runway between the skills and the workflow is missing.

Inside a coaching practice, the malpractice looks different but produces the same outcome. You bought the tool because somebody on LinkedIn said you should. You opened it once. You poked at it for fifteen minutes. You closed the tab because a client texted, or because the output was not quite right, or because you did not know what to ask it to do next. You moved on. The tab is still in your bookmarks. Six weeks later, the subscription auto-renewed.

That is your version of the unopened AI license dropped into Slack. Same gap. Different scale.

The Small-Org Version Is a Time Problem

Large orgs are bottlenecked by change management. Small practices are bottlenecked by something more brutal: nobody inside the business has an hour this week.

You are not the operator running the coaching practice who is too untechnical to use AI. Sometimes that is a piece of it, but it is not the main story. The main story is that your week is already at full burn. You have client sessions, prep, post-call notes, follow-up, content, the occasional speaking engagement, the inbox, the kid pickup, the parent who needs a call, the bookkeeping you have been avoiding. There is no slack in there to learn a new system, experiment, fail, try again, get to fluency.

The skill is reachable. The hour is not.

So the work does not happen. The license keeps draining. The practice keeps running the way it ran before the AI tools existed. And the gap compounds, because the operator who delays six months is not six months behind. She is six months behind a peer who is now compounding on the workflows she rewired in month one.

This is the part the coaching industry will not name out loud, because most of the people selling AI to coaches are pretending the bottleneck is courage or curiosity or willingness. It is not. It is the hour. Until someone solves the hour problem, the tools stay closed and the gap keeps widening.

You already know this. You have lived it.

The Bridge Is a Role, Not a Tool

There is a reason the Chief AI Officer seat went from 26% to 76% in a single year and it is not because anyone figured out what the job is. In a separate IBM IBV report on CAIOs, 40% report to the CEO, 24% to the CIO, the rest are scattered across other functions. Nobody can agree on what the role is. They just know they need somebody who owns it.

For a Fortune 500, that somebody is a full-time hire. For a coaching practice, for a $2M leadership consultancy, for almost everyone reading this, the answer is not a hire. The answer is a person who is AI and tech forward, who understands how systems and processes actually move inside a small business, and who can build new systems that give hours back. Comes in. Sees how the work actually moves. Rewires it one workflow at a time. Documents the saved hours. Hands the new system back. Leaves.

That is the work I do. I name it because the pattern I keep seeing is operators who know they need this and do not yet know it has a shape.

The fractional bridge is not a discount on the real role. It is the real role for everyone outside the Fortune 500. And inside a 1:1 coaching practice, it is the only thing that closes your version of the 61-point gap, because nothing else solves the hour problem.

This is the same argument I made about marketing in Visibility Is Infrastructure, Not Marketing. The thing that looks like a personality problem is almost always a systems problem. The thing that looks like a willpower problem is almost always a bridge problem.

Three Workflows Worth Bridging First

If you only ever bridge three workflows in your coaching practice, these are the three that pay back the fastest.

Post-call transcript intelligence. Every session you run already generates a transcript, or could. Bridged correctly, that transcript becomes a session summary, a commitments tracker, a pattern-spotting layer across sessions for that client, and a draft follow-up email, in the time it takes you to refill your coffee. Most coaches save 30 to 60 minutes per client per week on this single workflow.

Intake and qualification triage. You have a discovery call. You have a form. Right now those two things probably do not talk to each other, and the prep for the call costs you fifteen minutes you do not want to spend. Bridged correctly, the form fires an AI pass that summarizes the lead, scores fit against your offer, drafts the first message, and pre-loads the call notes. The qualification step gets shorter, sharper, and less personality-dependent. This is the same shape of fix I wrote about in Why Your Coaching Practice Is Feast or Famine, applied to the front of the funnel.

Content repurposing. You record a 60-minute call with a guest. You publish a podcast. That is usually where the value stops, because turning that conversation into ten LinkedIn posts, three short-form video scripts, a newsletter, and an article is a full day of work nobody has. Bridged correctly, one recording becomes the source for a month of distribution, and the only human in the loop is you approving what goes out. This is what CoachOps is built to do, and it is the workflow most coaches feel the savings on first.

None of these are exotic. None of these require you to become a prompt engineer. They are just plumbing. And plumbing is exactly what is missing.

You Are Already Early

The gap is real. The pain is real. The seat is being invented in real time, and most of the people who will eventually fill it are not credentialed for it yet. They are paying attention.

If you are paying attention, you are already early.

If your practice is the one with the unopened AI tab and the auto-renewing license, that is a bridge problem. Not a learning problem. Not a courage problem. Not a tools problem. Somebody has to wire it for you, or sit next to you while you wire it yourself.

Book 15 minutes and we will look at one workflow together. We will pick the one that gives you the most hours back the fastest, sketch what bridged looks like, and decide whether it is worth doing now or later. If it is not the right fit, you walk away with a clearer map of your own practice. If it is, you walk away with the first bridge halfway built.

That is the work right now.

Sources

IBM, CEOs are Reshaping C-suite Roles for the AI Era (newsroom release, 2026-05-04): newsroom.ibm.com
IBM Institute for Business Value, How Chief AI Officers deliver AI ROI: ibm.com