The Moving Goalposts of Mind: Understanding the “AI Effect”

If you ask someone what artificial intelligence is, they will likely point to the bleeding edge: machines that can hold nuanced philosophical debates, generate breathtaking photorealistic art, or write feature-length code from a single sentence. But give that same technology a few years to settle into the background of daily life, and our perception changes entirely.

Suddenly, we stop calling it “artificial intelligence” at all. We just call it software.

This curious psychological and cultural phenomenon is known as the AI effect: the tendency for people to disqualify a machine’s achievement as “real intelligence” the moment it is actually figured out. In short, AI is whatever hasn’t been done yet.

A History of Unimpressed Humanity

The AI effect is as old as the field of computer science itself. Whenever researchers solve a major computational hurdle, the goalposts shift, and the milestone is reclassified from an emblem of “thinking” to a mundane mechanical process.

• The Chess Paradigm: In 1997, when IBM’s Deep Blue defeated world chess champion Garry Kasparov, it made global headlines as a watershed moment for machine cognition. Yet, critics quickly dismissed it, arguing that Deep Blue wasn’t actually “smart”—it was just brute-forcing millions of calculations a second. Today, your smartphone can beat grandmasters effortlessly, and chess engines are viewed as pocket-sized tools, completely devoid of thought.
• From Magic to Mundanity: In the 1960s, Optical Character Recognition (OCR)—the technology that allows computers to read scanned handwriting or text—was considered a frontier of artificial intelligence research. Today, OCR powers deposit checks on banking apps and parses traffic signs. We don’t look at a deposit slip and marvel at the machine’s “mind”; we just get annoyed if it misreads a number.
• The Generative Shift: We are watching this happen in real time with large language models and generative media. Features that felt like magic a few years ago—translating languages fluidly, transcribing speech in real-time, or generating synthetic voiceovers—are rapidly being treated as standard utility features bundled into operating systems.

Why Do We Keep Moving the Goalposts?

The AI effect isn’t just a quirk of human cynicism; it is deeply rooted in how we define ourselves.

Human beings have long placed a monopoly on intelligence, reasoning, and creativity. For centuries, these traits were viewed as the exclusive sacred geometry of the human soul. When a machine proves it can conquer a domain we thought required a soul—whether that is playing Go, diagnosing rare medical scans, or composing a symphony—we face a cognitive dissonance.

To preserve our sense of uniqueness, we don’t usually upgrade our definition of human capability. Instead, we downgrade the achievement. We tell ourselves: “Well, it didn’t really understand what it was doing; it just predicted the next token based on statistical probabilities.”

By reducing the machine’s triumph to “mere math,” we protect our fragile ego. As artificial intelligence grows more capable, our internal definition of “true intelligence” retreats further into whatever frontier machines have not yet conquered.

The Double-Edged Sword for Innovators

For engineers, researchers, and entrepreneurs, the AI effect creates a unique psychological trap: perpetual obsolescence.

Because of this effect, an AI company can solve one of the hardest computational problems in human history, release it to the public, and watch consumer awe evaporate within six months. What was once heralded as a technological miracle becomes a baseline utility expected for free in every web browser.

This creates a treadmill of hype and expectation. Success doesn’t grant the technology permanent status as a marvel; it merely consigns it to the background. Electricity, plumbing, and the internet suffered the same fate. Once infrastructure becomes ubiquitous, it ceases to be technology—it becomes environment.

Living with the Invisible Mind

Ultimately, the AI effect forces us to confront an uncomfortable philosophical mirror.

As machines master more of the tasks we once believed required human sentience, we are compelled to look deeper inward. Recent psychological research shows that when people are confronted with advanced AI capabilities, they don’t necessarily view human traits as less essential. Instead, they frantically double down on whatever remains out of reach, elevating those remaining emotional and experiential markers as the true essence of humanity.

The irony of the AI effect is that the better artificial intelligence gets, the less we notice it. We are constantly chasing a ghost: defining intelligence by the horizon, only to watch the horizon move the moment we arrive.