Here’s a funny thing about artificial intelligence: the moment it works, we stop calling it AI.
Spell check, spam filters, recommendation engines — all of these once lived at the cutting edge of AI research. Today, they’re just software. This phenomenon even has a name: the AI Effect. It’s the idea that once AI solves a problem, people quickly move the goalposts and say, “Well, that’s not really AI.”
Why the goalposts move
Part of this comes from hype. AI is often marketed as futuristic and mysterious, so when a technology becomes commonplace, it feels less like “artificial intelligence” and more like business as usual.
Another reason is human psychology: we tend to equate “intelligence” with whatever machines can’t do yet. Once a task gets automated, it stops feeling like intelligence — it feels like automation.
Everyday examples
- Email spam filters — groundbreaking when they launched; now, just part of email.
- GPS navigation — early AI breakthroughs in route optimization; now, we just open the map app.
- Voice assistants — once “AI marvels”; now, household utilities.
Each time, what was once AI becomes invisible infrastructure.
Why this matters for business leaders
The AI Effect can mislead. If we keep moving the definition of AI, executives either overhype the newest thing or dismiss proven tools as “not really AI.” Neither helps.
A better perspective: AI is a set of techniques that evolve into everyday tools. The real business value comes not from chasing whatever’s hyped as “AI” today, but from applying the technology — whatever we call it — to solve real problems.
A quick case study
Netflix’s recommendation system is a good example. At one time, an algorithm that could personalize what millions of people watch was considered an advanced AI challenge. Today, it’s just a core part of the product. Customers don’t care whether Netflix calls it “AI,” “machine learning,” or just “recommendations” — what matters is that it helps them find their next favorite show.
Bottom line
The AI Effect reminds us intelligence doesn’t have to look flashy to be valuable. Many of the most impactful AI applications become invisible precisely because they work so well. Don’t get caught up in the label — focus on how the technology solves problems, creates efficiencies, or opens new opportunities for your business. AI isn’t magic, and sometimes it’s so good you stop noticing it’s there.