A moving label, not a technology. "AI" doesn't name a fixed thing the way model or token does — it points at whatever computers can newly, impressively do. Right now it points at large language models. It has pointed at very different things before:
| Era | What "AI" meant |
|---|---|
| 1950s | Symbolic reasoning — theorem provers, checkers programs. |
| 1960s–70s | Rule-based symbolic programs — ELIZA, SHRDLU. |
| 1980s | Expert systems — thousands of hand-written if-then rules encoding human expertise. |
| 1990s | Game-tree search — Deep Blue beating Kasparov (1997). Researchers avoided the word "AI" entirely |
| 2000s | Statistical machine learning — spam filters, recommenders. Still sold as "machine learning", not "AI" |
| 2010s | Deep learning — image recognition (AlexNet, 2012), AlphaGo (2016). |
| 2020s | Large language models — ChatGPT (2022) made "AI" mean chatbots |
The pointer moves by a known mechanism, sometimes called the AI effect: once a technique works reliably, it gets renamed — it's "just" search, "just" statistics — and "AI" slides forward to the next unsolved thing. The observation is old. Bertram Raphael put it this way in 1971: "AI is a collective name for problems which we do not yet know how to solve properly by computer." Larry Tesler's version, from around 1979: "Intelligence is whatever machines haven't done yet."
This is why conversations about AI so often talk past each other. A claim like "AI can't reason" or "AI is overhyped" carries a hidden timestamp — it may be about expert systems, about 2010s image classifiers, or about last month's LLM, and each reference supports a different conclusion. When a discussion about AI stalls, the fix is usually to swap the word for whichever precise term is actually meant: the model, the harness, the agent, the context it was given.
Avoid: "AI" in any technical claim — name the part you mean instead. "AI coding" as a label for the practice is fine; "the AI is hallucinating" is not.
Usage:
"The CTO wants to know whether AI could handle the triage queue."
"Translate that before scoping it — she means an LLM in a harness with access to the ticket system. 'AI' on its own isn't a spec."