The AI Effect: How Technology Changes Human Value

The AI Effect: Why Smart Machines Always Feel “Not That Impressive”

Have you ever noticed a strange psychological quirk that happens whenever technology takes a massive leap forward?

When chess-playing computers first defeated human grandmasters, people marveled at the feat—for about five minutes. Then, critics quickly pivoted: “Well, it’s just brute-force calculation; it doesn’t actually understand strategy.” When voice assistants first understood spoken commands, it felt like science fiction. Today, we get annoyed if a digital assistant misunderstands a slang word, dismissing it as “just a glorified search engine.”

This phenomenon is known as the AI Effect: as soon as an artificial intelligence system successfully solves a problem, we stop considering it “real” AI.

What Is the AI Effect?

Coined by computer science pioneer John McCarthy, the AI effect describes how our definition of artificial intelligence constantly moves the goalposts.

Historically, AI researchers defined their field around tasks that require human-like intelligence, reasoning, and learning. But the moment a machine masters one of those tasks—whether it’s playing Go, translating languages, recognizing faces, or generating realistic images—our collective perception shifts. We reclassify the technology as mere “automation,” “algorithms,” or “advanced statistics” rather than true intelligence.

In short: Real AI is whatever machines haven’t figured out how to do yet.

Why Do We Fall Into This Trap?

The AI effect isn’t just a quirk of tech criticism; it’s deeply rooted in how human psychology works. Several factors drive this behavior:

• The Mystery Evaporation: Once we understand how something works—even if it involves billions of complex neural network parameters—the magic disappears. We look under the hood, see math and code, and think, “Oh, that’s just programming,” forgetting that human thought is also powered by biological networks and electrical impulses.
• The Perfection Paradox: Humans tend to view intelligence through the lens of human error. Because computers don’t get tired, emotional, or distracted, we hold them to an impossible standard of absolute perfection. If an AI makes a single factual error or a weird glitch, we dismiss its overall capability entirely.
• Familiarity Breeds Contempt: Technologies that feel revolutionary today quickly become invisible background infrastructure tomorrow. Optical character recognition (reading scanned text) used to be cutting-edge AI; now it happens silently every time you deposit a check with your banking app. Because it’s convenient and ordinary, we stop seeing it as intelligent.

The Real-World Impact

Understanding the AI effect matters because it shapes how society responds to technological change.

When we fall victim to the effect, we swing between two unhelpful extremes: panic (fearing that sci-fi superintelligence is moments away from taking over) and underestimation (ignoring the profound economic, ethical, and creative impacts that current AI systems are already having on jobs, education, and culture).