AI is often described as âmoving fast,â but that phrase hides something important.
Whatâs really happening isnât just rapid innovation â itâs consolidation and normalisation.
AI Is Becoming Infrastructure
Weâre entering a phase where AI is less about standalone tools and more about embedded capability. Instead of asking, âWhich AI should I use?â, people are increasingly asking, âWhy is this already built into my software?â
This mirrors what happened with previous software advancements:
- Search engines
- Spellcheck
- Cloud storage
Once a technology becomes infrastructure, the advantage shifts from access to skillful use.
The Skill Gap Is No Longer Technical
A few years ago, the AI gap looked like this:
Today, it looks like this:
- Can you direct AI clearly?
- Can you evaluate its output?
- Can you decide when not to use it?
- Can you identify misinformation?
Most failures with AI arenât technical failures. Theyâre judgment failures â unclear intent, missing context, or uncritical acceptance of confident output.
This is why Everyday AI focuses on thinking skills rather than the tools aspect of artificial intelligence. A framework to support tools is a necessity when considering using any form of AI.
Why AI Feels Overwhelming Right Now
AI creates information pressure:
- Constant updates
- New models and features
- Strong opinions about âmust-useâ tools
But most updates do not change how everyday people should work this week or this month.
Filtering matters more than keeping up.
Knowing what to take note of is becoming as valuable as knowing whatâs new.
What This Means for Everyday AI Users
Donâts:
- Chase every update
- Become a power user
- Try and implement every single tool advertised to you.
Doâs:
- Practice giving better inputs
- Build confidence reviewing outputs
- Understand AIâs limits as well as its strengths
- Give yourself time away from AI and practice individual thinking.
These are durable skills. They transfer across tools, models, and future changes.
A Quiet but Important Shift
As AI becomes more capable, human judgment becomes more important, not less.
Thatâs the real skill gap Everyday AI exists to close.