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

Introduction: The Magic That Fades

Imagine a computer program capable of diagnosing rare medical conditions, beating a world chess champion, or instantly transcribing spoken words into text. To someone from the mid-20th century, this would look like pure science fiction—the dawn of true machine consciousness. Yet, to a modern smartphone user, these capabilities are so ordinary they barely warrant a second thought.

This peculiar psychological and sociological phenomenon is known in computer science as the AI effect. Coined to describe how people perceive artificial intelligence, the term captures a reliable paradox: Once a machine successfully solves a problem, we stop considering it “intelligence” at all. Instead, it is reclassified as mere computation, automation, or standard software engineering.

A History of Shrinking Marvels

The AI effect is not a new byproduct of modern large language models; it has accompanied the field of artificial intelligence since its inception. The definition of machine capability has perpetually retreated whenever a milestone has been conquered:

• Game Playing: When IBM’s Deep Blue defeated world chess champion Garry Kasparov in 1997, it was hailed as a monumental turning point. Soon after, critics dismissed it as brute-force calculation rather than genuine thought. When AlphaGo mastered the infinitely more complex game of Go decades later, a similar wave of normalization quickly followed.
• Perception and Language: In the early decades of AI research, optical character recognition (OCR) and speech-to-text translation were treated as the holy grail of cognitive science. Today, OCR powers routine mobile banking app check deposits, and speech recognition translates voice notes instantly—stripped of any mystical “intelligence” label.
• Tesler’s Theorem: Computer scientist Larry Tesler famously summarized this moving baseline with a sharp aphorism: “AI is whatever hasn’t been done yet.”

Why Do We Move the Goalposts?

The persistence of the AI effect points to something deeper than technical cynicism—it touches on how humans define their own uniqueness.

1. Protecting Human Identity: Historically, humans have anchored their self-worth and identity in cognitive exclusivity. Abstract reasoning, artistic expression, and strategic planning were thought to be exclusively biological domains. When machines encroach on these domains, society often redefines the trait rather than conceding ground to the machine.
2. The Demystification of Mechanisms: Once an algorithm’s underlying mechanics—such as statistical probabilities, neural network weights, or optimization loops—are demystified and commercialized, they lose their aura of magic. What was once viewed as a “mind” becomes viewed as a tool.

The Modern Frontier: Generative AI and Beyond

We are living through the most pronounced wave of the AI effect in history. Generative text and image models have shifted the goalposts further than ever before. Tasks that once required human graphic designers, copywriters, and programmers can now be simulated in seconds.

Initially, these systems evoke awe, prompting existential debates about creativity and sentience. Yet, as millions integrate these tools into daily workflows, the awe gives way to routine utility. Errors are heavily scrutinized, successes are expected, and the technology is quickly absorbed into the mundane background of software infrastructure.