8 Ways to Tell Someone’s Idea of “Being Good With Technology” Froze Around 2016

Technology changes fast—but some people still define “tech-savvy” using skills that felt impressive almost a decade ago.

1. They’re Still the Family Printer Expert

Connecting printers, fixing Wi-Fi, or restarting the router still makes them the “tech person” in the house.
Back in 2016, those were genuinely valuable survival skills for most families.

2. They Think Building a PC Is Peak Technical Knowledge

Custom PC building was once one of the clearest internet-era tech flexes.
Now, tech culture expanded heavily into AI tools, automation, cloud systems, and creator software instead.

3. They Still Use Keyboard Shortcuts as Proof They’re Advanced

Knowing Ctrl+C, Alt+Tab, or browser shortcuts once separated “computer people” from casual users.
Today, younger users often skip desktop workflows entirely and live mostly on mobile devices.

4. They’re Weirdly Proud of Torrenting Knowledge

Understanding VPNs, file compression, or torrent sites used to feel highly technical.
Modern streaming culture made a lot of those skills less central to everyday internet life.

5. They Think Fast Typing Automatically Equals Tech Skill

Typing speed mattered heavily during peak desktop and laptop internet culture.
Now, voice notes, mobile interfaces, and AI tools changed how many people interact with technology.

6. They Still Judge Phones Mainly by Storage and Battery

In 2016, those were major buying factors because apps, photos, and battery performance varied wildly.
Current smartphone ecosystems focus much more on cameras, AI features, and ecosystem integration.

7. They Think Knowing Reddit Makes Them Extremely Online

There was a time when Reddit felt niche and deeply internet-native.
Now it’s referenced constantly across mainstream media and social platforms.

8. They Still Associate “Tech Jobs” Mostly With Coding

Earlier tech culture focused heavily on programming and engineering roles.
Modern tech industries now include creators, AI trainers, product teams, data specialists, and platform-based careers.