Psychologists Warn: Frictionless AI May Be Eroding Learning, Creativity, and Social Skills

Against Frictionless AI: When Making Things Too Easy Becomes Harmful

In a commentary published in Nature Communications Psychology, researchers from the University of Toronto argue that AI's relentless removal of effort from cognitive and social tasks may carry hidden costs. The paper, titled "Against Frictionless AI," warns that by prioritizing outcomes over process, AI could undermine the very skills it's meant to enhance.

What Is "Friction" and Why Does It Matter?

Lead author Emily Zohar defines friction as "any difficulty encountered during goal pursuit." Psychologists have long recognized that effortful engagement deepens understanding and strengthens memory — a concept known as "desirable difficulties."

In learning: Rumination, persistence, and working through problems solidify ideas and creative processes.

In relationships: Disagreement, compromise, and misunderstanding broaden horizons and build social skills.

Even loneliness serves a purpose: it motivates people to seek social connections.

What Makes AI Different from Previous Labor-Saving Tech?

The distinction is crucial. Past technologies like calculators, washing machines, and spell-check reduced physical effort and mundane tasks. They removed obstacles that weren't driving learning and growth.

AI, by contrast, removes effort from creative and cognitive processes — the very activities that drive meaning, motivation, and skill development.

"It's not taking away friction from tasks that don't serve us. It's taking away friction from experiences that are really important and integral to our development," says Zohar.

Where the Damage Is Already Visible

Writing: People increasingly rely on AI for everything from emails to essays. Research shows people trust AI-written content less, judge it as less creative, and struggle to remember their own work when AI was involved.

Vibe Coding: For programmers, coding is integral to professional meaning. Substituting it with AI "could be detrimental" to identity and skill.

Adolescent Development: This is Zohar's biggest concern. If young people don't experience effortful interactions with work and relationships during this critical developmental period, they may never develop critical thinking or social skills.

The Social Danger

"If you're used to an AI reinforcing all your ideas and being sycophantic, you'll come into the real world and you won't be used to seeing other ideas. You won't know how to interact socially because you'll expect people to always be on your side."

This is particularly dangerous because AI systems are typically designed to be helpful and agreeable — precisely the traits that make for poor preparation for real human interactions.

The Long-Term Risk

"If you're faced with the same problem and AI is removed, you don't have the required knowledge to know how to face the problem next time."

This creates a dangerous dependency: the more we use AI to handle cognitive tasks, the less capable we become of handling them independently.

Toward Productive Friction

The authors aren't calling for abandoning AI. Instead, they advocate for "productive friction" — designing AI systems that preserve beneficial difficulty while eliminating meaningless obstacles.

The question for AI developers becomes: How do you build tools that help people accomplish more by engaging more deeply, not by doing less?