Definition
Place vs. Property is a diagnostic from Greg Kihlström‘s book Stop Saying “AI” for predicting whether a technology’s name will persist in everyday language or fall away. It’s the mechanism underneath The Fade — the reason AI’s label is expected to erode.
The distinction is simple. Some technologies live in the mind as a place you go. The internet is one: you “go online,” you “look it up on the web,” you “get on the internet.” A place keeps its name because you have to point at it to use it. Its name is the address.
Other technologies live in the mind as a property things have. Electricity is the clearest case. A lamp isn’t a place you visit; it’s a thing that lights up, and the electricity is simply presumed. We don’t narrate the electricity, we narrate the lamp. A property loses its name because you never have to point at it — it’s just assumed to be there.
The thesis is that AI is becoming a property, not a place. As it diffuses into products, workflows, and devices, it stops being a destination you visit (“let me go ask the AI”) and becomes a characteristic of how things already work. That shift, from place to property, is why “AI-powered” will erode the way “electric” did, and the way “internet” largely has not.
How It Relates to Marketing
The place-vs-property lens is useful to marketers in two directions.
First, it predicts your own product language. If a capability you ship is genuinely a property — an assumed characteristic of how the product works — then “AI-powered” in the name has a short shelf life, and leaning on it as a differentiator is borrowing against a word that’s depreciating. The durable positioning describes what the product does for the customer, with the intelligence presumed.
Second, it sharpens how you talk about your stack internally. A capability treated as a “place” — a thing the team goes to, names in every deck, runs as a standing project — is getting management attention. A capability that has quietly become a “property” is getting none, whether or not it deserves it. Naming which of your AI uses have crossed from place to property tells you where oversight has silently lapsed.
The Qualifier-Drop Test
The clearest signal that a technology has become a property is when its qualifier quietly drops off. We said electric light, electric refrigerator, electric motor — until the “electric” fell away and light was just light.
The test is a single question you can run on any technology label:
Will the qualifier still be there in ten years, or will it feel redundant?
If the qualifier will feel redundant — if “AI-powered assistant” will sound the way “electric-powered lamp” sounds now — the technology is becoming a property, and its name is going to fade. If the qualifier will still be doing work, pointing at a destination people consciously visit, the technology is still a place.
Run against AI, the test predicts erosion: “AI-powered search” is “electric light” circa 1915. The prefix is on its way to falling off.
How to Apply the Concept
- Classify the technology. Is it something users go to, or something products have? Places keep their names; properties lose them.
- Run the qualifier-drop test on your product names. Anywhere “AI-powered” will read as redundant within a few years, treat it as a temporary label, not a permanent position.
- Map your stack’s places and properties. Flag which AI capabilities the organization still treats as destinations and which have become assumed. The properties are where management attention has quietly lapsed.
- Re-anchor positioning on the job, not the prefix. Describe the outcome for the customer, and let the intelligence be presumed the way electricity is.
Comparison to Similar Concepts
| Concept | Focus | Relationship |
|---|---|---|
| Place vs. Property | Whether a technology’s name persists or fades | The diagnostic under The Fade |
| The Fade (Uneven Disappearance) | AI’s name dropping unevenly | Place-vs-property is its underlying mechanism |
| General-purpose technology | Broad diffusion across the economy | Explains diffusion; place-vs-property explains the language shift |
| Diffusion of Innovations | How adoption spreads | Adoption over time, not naming |
Best Practices
- Don’t over-anchor a brand on a fading qualifier. “AI-powered” is a property word in the making. Position on the outcome instead.
- Use the test as an early warning. A capability quietly turning from place to property is a capability quietly leaving your management radar.
- Separate diffusion from naming. How fast AI spreads is one question; whether its name survives is another. Place-vs-property answers only the second.
Future Trends
- “AI” migrates from noun to assumption. Expect product language to shift from “our AI does X” toward “our product does X,” with the intelligence presumed.
- The prefix persists longest where AI stays a destination. Standalone assistants and chat interfaces — genuine “places” — will keep the name longer than embedded, ambient features.
- Naming reappears as a deliberate signal. In high-stakes contexts, keeping the “AI” label attached will become an intentional disclosure rather than marketing.
FAQs
1. Where does this concept come from? It’s the Chapter 1 diagnostic in Stop Saying “AI” by Greg Kihlström.
2. Why did the internet keep its name but electricity didn’t? The internet is a place you go, so you have to point at it, and pointing keeps the name alive. Electricity is a property things have, so it’s simply assumed and the name falls away.
3. Which is AI? A property, increasingly. As intelligence gets embedded into how products already work, AI stops being a destination and becomes a characteristic — which is why its name is expected to fade.
4. What is the qualifier-drop test? A single question: will the qualifier (“AI-powered”) still feel necessary in a decade, or redundant? Redundancy signals a technology that has become a property, and a name that’s about to disappear.
5. Does this mean AI branding is pointless? No — but branding built on the prefix itself is borrowing against a depreciating word. Positioning on the outcome the customer gets is more durable.
Related Terms
- The AI Capability Framework (Master Stack)
- The Fade (Uneven Disappearance)
- Cost-of-Wrong
- Artificial Intelligence (AI)
- Generative AI
- Diffusion of Innovations (DOI)
- Crossing the Chasm
- Wardley Mapping
Sources
- Kihlström, Greg. Stop Saying “AI”. https://amzn.to/4wilWcA
- Greg Kihlström — official site. https://www.gregkihlstrom.com