What Should a CEO Tell the Board About AI Next Quarter?

A CEO should tell the board where AI is pointed in the business, who owns each use, and what has changed in that work, in terms a director could check for themselves. Saying the company is investing in AI no longer sets a company apart, because most large companies now say it every quarter. The update that builds credibility is the one a board member could verify on a site visit.
Picture the evening before a board meeting. The pack has a slide headed "AI progress." It lists the tools rolled out, the number of licences, a pilot in finance and a line from the vendor's launch event. You read it twice. Every item describes something the company bought or started, and one director asked last quarter what all of this has changed in the business. She will find no answer on this slide.
How often are companies talking about AI to investors?
Very often, and the count has stayed high for most of a year. FactSet's analysis, published September 18, 2026, searched the transcripts of every S&P 500 company that held an earnings call between June 15 and September 14, 2026, and found the term "AI" cited on 331 of 493 calls, or 67%. That is well above FactSet's 5-year average of 178 calls and 10-year average of 114, and it was the third consecutive quarter in which more than 65% of S&P 500 calls cited AI.
The analysis counted mentions. It did not measure what companies said about AI or whether those statements held up, and this piece assumes nothing about either. The count matters for a simpler reason. When two-thirds of the largest listed companies use the same word on the same kind of call, the word stops telling an investor or a director anything about any one of them. Your company does not need to be listed for this to reach you. Your directors sit on other boards and read the same coverage.
Why does a generic AI update create risk for a CEO?
Every AI statement that is not backed by changed work becomes a promise someone will test later. Average Robot calls the result trust debt: the distance between what leadership says about AI and what the operation can show. It builds one hopeful slide at a time, and it comes due when a director or an analyst asks for the evidence.
Trust debt is expensive in a boardroom because directors keep notes. A quarter of "we are piloting" and then a quarter of "we are scaling," with no visible change in how the business runs, leads to the conversation no CEO wants, which is a director asking what exactly the company funded.
The debt also runs downward. Managers read the investor materials and the all-hands deck. They know whether the story matches their week. When it does not, they discount the next announcement, and the people you need to carry the work start waiting it out.
What can a CEO report about AI that a director can verify?
The most useful thing to report is direction. Name the few workflows AI is pointed at and the executive who owns each one, then describe what has changed in that work since the last meeting. In the AI Profitability Gap, the chain Average Robot uses to trace AI spend through to return, Direction is the link that decides whether people using the tools turns into value for the business (how the chain works). It is also the link a CEO is best placed to own, because choosing where the company points its effort is a decision about priorities, and nobody below the CEO can make it for the whole company.
A verifiable AI update tends to share a few properties:
- It names workflows. "AI is used across marketing" cannot be checked. A statement such as "campaign briefs now start from an AI draft and reach review a day earlier" can be, and a director can ask to see one.
- It names an owner. Each workflow has one executive who answers for it, and that person is in the room or named in the pack.
- It reports change in the work. Licences and log-ins describe purchasing. A handoff that moved or a decision now made closer to the customer describes the business.
- It admits what stopped. A board that hears about a pilot that was ended, and why, believes the next report more.
- It keeps plans and results apart. "We intend to" and "we now do" belong in different columns.
A practical format is one page that repeats every quarter, with the same workflows listed in the same order and a short note against each on what changed since the last meeting. Because the page repeats, directors can set it beside the previous one. A board that watches the same workflows move, or fail to move, over three quarters asks better questions than a board that sees a fresh list each time, and the CEO spends less of the meeting defending the slide.
The work behind it is a decision by the CEO that the AI section of the board pack will meet the same standard as the financial section. That decision costs nothing to make.
What should a CEO do before the next board meeting?
These moves can start this month, with no purchase involved.
- Read last quarter's AI language back. Pull every AI statement from the last board pack and, if you are listed, the last earnings call. Mark each one as shown, in progress or not yet supported. That list is your trust debt, written down.
- Choose a short list of workflows. Pick the few where AI should change the work this year, and give each one an owner from your direct reports.
- Ask each owner for one observable change. It should be something a director could see on a visit, such as a review that got shorter or a handoff that moved.
- Retire one claim. If a statement from last quarter cannot be backed, stop repeating it and say what replaced it.
- Get a baseline before you report a result. If you cannot say where AI use and direction stand today, next quarter's numbers will have nothing to be compared against.
If you want that baseline, take the free AI Profit Readiness Assessment. It is eight questions for leadership teams that have paid for AI and are still waiting for the return, and your result appears on screen when you finish.
Take it with you
Download this as a PDF
A clean, branded version to read offline or share with your team.
Frequently Asked Questions
What should a CEO tell the board about AI?
A CEO should report where AI is pointed in the business, which executive owns each use, and what has changed in that work since the last meeting. Board members can check named workflows and observable changes. They cannot check general statements about investment or adoption, and with most large companies now mentioning AI on earnings calls, general statements no longer distinguish one company from another.
How many S&P 500 companies mention AI on earnings calls?
In FactSet's count of S&P 500 earnings calls held between June 15 and September 14, 2026, about two-thirds cited AI, well above the 5-year and 10-year averages. It was the third consecutive quarter in which AI came up on most S&P 500 calls. FactSet counted mentions only and did not assess what companies said.
What is trust debt in AI?
Trust debt is Average Robot's term for the distance between what leadership says about AI and what the operation can show. It accumulates with each AI claim that is not backed by changed work, and it comes due when a director or an investor asks for evidence. Reporting named workflows and owners is the most direct way to reduce it.
Should a CEO own AI or delegate it to the CIO?
A CEO can hand the technology to the CIO and keep the direction. Choosing which parts of the business AI should change, and holding executives to that, is a decision about company priorities. The CIO can run the platforms and the spend. Only the CEO can tell every executive where their AI effort is expected to show up in the work.
Related reading
- AI Adoption Methodology: Why the Sequence Matters More Than the Framework
Most AI adoption methodologies start with tools and training. Here is why the sequence is backward, and what to fix f…
- Why a Changeover AI Solution Stalls on the Plant Floor
Your changeover AI solution works, but line leads still run changeovers the old way. Here is why the floor has not ch…
- Why AI Adoption Fails Across Siloed Teams and Brands
AI adoption stalls when tools get bolted onto siloed teams instead of redesigned around them. Here is the pattern, an…