Friday, August 21, 2026
FRIDAY – AI FOR THE C SUITE®
Read time: 8–9 min · Read online
Hi, it’s Chad. Every Friday, I serve as your AI guide to help you navigate a rapidly evolving landscape, discern signals from noise and transform cutting-edge insights into practical leadership wisdom. Here’s what you need to know:
1. Sound Waves: Podcast Highlights
This past Monday on AI for the C Suite®, I made the case that your organization’s vocabulary is a more honest maturity signal than any vendor dashboard you’re being shown. Economists Bresnahan and Trajtenberg gave us three tests for a general purpose technology back in 1992. AI passes all three, and the tell is in the language: a new word means the technology exists, a borrowed word means it’s everywhere. I’ll walk through why “hallucination” is a design characteristic and not a defect, and why a Fortune 100 CEO needs a commissioned survey and six weeks to learn what you can learn from a hallway and a coffee machine. Check out the episode to learn more. Hit one of the below links to check it out:
Apple · Spotify · iHeart · Amazon · YouTube
Subscribe for free today on your listening platform of choice to ensure you never miss a beat.
2. Algorithmic Musings: Whose Words Are These?
Rudolf Diesel filed his patent in 1892 and demonstrated a working engine in 1897. Today the word carrying his name means a fuel, an engine type, a grade at the pump, and, if you came up when I did, a compliment about somebody’s build or abilities.
The man himself is gone from it. Nobody at a truck stop is thinking about a Bavarian engineer.
On our podcast this past Monday, I walked through three ways a general purpose technology rewrites the dictionary. It coins new words, it borrows old ones and stretches them over new machines, and it quietly shifts which meaning of a familiar word wins. Steam gave us locomotive and let off steam. The automobile took car away from wagons and never gave it back.
There’s a fourth mechanism. It didn’t fit into fourteen minutes, and it’s the one with your money in it.
When a Name Becomes a Noun
Call it eponymy. A proper noun swallows its own category, and after a while nobody can find the edges of the thing anymore.
Xerox. Kleenex. Band-Aid. Google.
Companies fight this, and they fight it hard, because the loss is real. Xerox has spent decades asking the public to say photocopy, at one point buying ads in The Hollywood Reporter to ask screenwriters to use the name as an adjective rather than a verb. That looks precious until you notice the graveyard. Aspirin was a Bayer trademark until a U.S. court declared it generic in 1921. Escalator belonged to Otis. Both are ordinary nouns now, free for anyone to print on a box.
That’s the legal stake. The operator stake is different, and nobody sends you a cease-and-desist about it.
The Vendor Is Writing Your Dictionary
Diesel is harmless. The patents expired generations ago and the category is wide open, so the word costs nobody anything.
A live eponym is a different animal.
For most of the 1990s, millions of Americans used AOL and the internet interchangeably. That wasn’t ignorance. AOL was genuinely good at what it did, and it was the on-ramp for an entire generation. The problem was structural. Inside the walled garden, the internet looked exactly the size of AOL’s content menu. If a service existed outside those walls, most subscribers had no word for it, no way to ask for it, and no reason to suspect it was there. The vocabulary drew the map, and the map stopped at the property line.
Now listen to your own building.
When somebody on your team says “just ChatGPT it,” their working model of what this technology can do is bounded by one company’s product surface. That’s not a knock on the product. It’s a description of what happens to a mental model when a brand name becomes the category noun. People do not evaluate what they cannot name. They do not name what they’ve never heard called anything else. And by the time a renewal lands on your desk, the shortlist has quietly become one entry long, assembled months earlier in hallway conversations nobody was auditing.
This is The SaaS Overhang catching a much earlier flight. The overhang is what you’re paying for. Vendor vocabulary is how you got talked into it without anyone holding a meeting.
The Swap Test
Here’s a diagnostic you can run this week without a survey, a consultant, or a budget line.
Take any sentence somebody in your organization said about AI work in the last seven days. Swap the vendor name for the category noun. “Just ChatGPT it” becomes “just use a language model for it.” “Run it through Copilot” becomes “run it through an assistant.”
If the sentence survives, you’re fine. Your people are thinking in capabilities and reaching for a familiar brand as shorthand, which is what everybody does and always has.
If the sentence goes vague, pay attention. If nobody in the room can name a second tool that would do the same job, pay closer attention. And if you ask your team to name three AI capabilities your incumbent vendor doesn’t sell and the answer is silence, you’ve found something worth more than whatever your dashboard reported this month.
Zero is a finding. It’s also cheap to fix, which is the good news buried in all of this.
My Takeaway?
The dictionary a technology leaves behind gets written by whoever arrived first and talked loudest. That’s a charming bit of trivia when the author is a dead German engineer. It’s an expensive habit when the author is a vendor with a renewal date and a roadmap you didn’t help write.
Diesel’s name outlived his patents by more than a century. Ask yourself whose words your organization will be using in eighteen months, and whether anybody in your building chose them on purpose.
On August 31 I’m taking the podcast back to the studs: fifteen foundational AI terms, defined properly, for everybody who got into this recently and has been nodding politely ever since. If your team is running on a vendor’s vocabulary, that episode is the least expensive correction available to you.
Run the swap test and tell me what you hear. I read everything that comes in, and the hallway reports from readers are consistently better than anything I could commission. Drop me a line at chad@chadharvey.com, and thanks as always for spending part of your Friday with AI for the C Suite®.
3. Research Roundup: What the Data Tells Us
BOARDROOM AI: THE TOOL THAT KNOWS WHAT YOUR BUDGET CUT ACTUALLY BROKE
Consider this scenario: You cut a line item three weeks after the proposals are built. Which conclusions still hold? Nobody can say for certain, so the whole discussion restarts. New research tests a system that answers directly, tracking how conclusions depend on each other so a change touches only what it invalidates.
The numbers that matter: Across 600 simulated interventions, it found every affected conclusion while examining 14.59% of the nodes. Full recomputation matched that at 100% of the work. Updating only the changed item scored 36.65%. Because untouched conclusions carry forward instead of being regenerated, minority objections survived revision rather than being quietly rewritten.
What this means for your Monday morning: What is worth buying is not a faster recommendation. It is an auditable record of what changed, what survived, and why. A tool that hands your board a revised answer with no change log gives them nothing to review.
The catch: Remove one dependency link in ten and exact recovery falls to 60.42%, with no warning. Precision stays perfect, so it never raises a false alarm and never says it missed anything. In the twelve-case exploratory pilot it reached a valid decision in only six. Everything is synthetic and prototype level.
Action item: Ask any deliberation or agent-planning vendor how their system captures dependencies, and what happens when it gets them wrong.
Read our full analysis of this research at AI for the C Suite®.
4. Radar Hits: What’s Worth Your Attention
Your managers are the AI variable, not your tech stack. Gallup surveyed 23,717 workers and found AI adoption splits culture almost evenly, 24% better against 25% worse. The difference is the manager. Where employees strongly agree their boss champions AI, 33% say work actually changed. Everywhere else, 4%. Half of CHROs surveyed aren’t confident their managers can guide this. Ask whether you are.
KFC and Taco Bell’s tech chief on what he won’t buy. Jim Dausch runs technology across 63,000 restaurants, and the useful part is what he declines. He’s passed on robotics for lack of a use case and calls vendor AI pricing frothy on chip costs. What he funded: one data platform replacing 30 systems and an 85% drop in stockouts. Borrow his franchisee test. Prove same-store sales or waste reduction, or the answer is no.
Claude now watermarks what it writes. Anthropic embedded a detectable signal in Claude’s text at the model level, worldwide, no opt-out. It covers models launched on or after August 2, with older ones being retrofitted over the coming months, and it survives copy and paste. Proofreading is the softer case: when nearly every word is still your team’s, there may be too little for the mark to attach to. Anything Claude actually drafts carries one. Set your disclosure position this week, before a client or reporter sets it for you.
5. Elevate Your Leadership with AI for the C Suite®
August 31 I’m doing fifteen foundational AI terms on the podcast, defined properly. Free, and probably enough for most teams. If you’d rather not wait, or you want the audit run on your actual stack instead of in the abstract, I’m booking Q4 2026 intro meetings now for Q1 2027 engagements. chad@chadharvey.com. Either way, forward AI for the C Suite® to the person on your team who’s been nodding politely in AI meetings for a year.
Stay safe. Stay healthy. Be strong. Lead well.
Chad