AI Whiplash 🤖


Hey everyone,

Picture a high school senior’s day at school…

Period 2: “If I catch you using AI, it’s a zero.”

Period 4: “AI will rot your brain, you need to think for yourself.”

Period 6: “AI is destroying civilization as we know it.”

Four years later, they sit in a job interview and hear:

“So, walk us through how you use AI in your workflow.”

Recent Grad:

“I was told there would be no AI”

That’s the whiplash we’re creating, and I get a front-row seat to both ends of it.

By day, I design learning experiences for adults, AI-focused all day, every day.

By night (and weekends... send help), I teach middle school, high school, and college kids.

One group is being told to stay away from AI. The other is told, “Get good at it yesterday, or you’re fired.”

This issue is about that gap, and how we, as educators, can design experiences that better prepare the workforce of tomorrow, today.

The Real Data

The Classroom 🏫

Schools are building fences for AI, fast. The share of K-12 students who say their school has AI rules jumped from 51% in 2025 to 74% in 2026.

And learners are absorbing the message! A 2026 Gallup survey found that 14- to 29-year-olds are becoming more skeptical of AI, and more openly angry at it.

Roughly half of them still use AI at least weekly, while their frustration and anxiety about it keep climbing.

Read that again. They’re using it AND resenting it.

That’s not a healthy relationship, that’s a situationship. 💔

The Workplace 💼

Meanwhile, the World Economic Forum’s Future of Jobs Report lists AI and big data as one of the fastest-growing skill categories through 2030.

Oh, and it projects that 39% of current job skills will become outdated by 2030.

[Immediately checking on when I can retire]

DANGIT, it’s after 2030…

In my workforce development world, nobody asks “Should we use AI?” anymore. They ask:

  • “How do we use it without making expensive mistakes?”
  • “Who knows how to check its work?”
  • “Why does our new hire paste whatever it spits out into a client email?!”

This is real, no joke. I’m talking with coworkers who reply to me with AI-generated answers. IT’S CRAZY!!!

“So, Should We Just Let Them Use It?”

NOPE.

I know my primary audience is music educators. I’ll share thoughts on your classes specifically after this section, pinky promise.

The concerns are legit. If a learner hands AI the thinking, they skip the learning.

Remember my issue on cognitive load? If AI does all the heavy mental lifting, nothing builds into long-term memory. No schema. No transfer… Just vibes.

But “ban it” and “allow it” are both lazy answers.

The real question is:

WHICH parts of the thinking should the human own?

Here’s how I frame it with Bloom’s:

Remember / Understand | AI can support (explain, quiz, rephrase)

Apply / Analyze | Collaborate (human leads, AI assists)

Evaluate / Create | HUMAN. Every time. AI can be the sparring partner, never the judge.

That’s literally how professionals use it. AI drafts, sorts, and summarizes. Humans decide, defend, and take responsibility.

Seems simple and straightforward… right?

Strategy Section for Music Classes (You say: “FINALLY.”)

Every strategy has something to try and something to measure. Because if you can’t measure it, you’re just throwing learning into the wind.

#1: Ears First, AI Second

Before AI touches anything, learners have to use the most important tool in the room: their ears.

🧪 Try this

  1. Record a run-through of a tough passage.
  2. Each section listens back and writes their own diagnosis: the 2 or 3 biggest problems and exactly where they happen.
  3. THEN they give AI that diagnosis (length, tempo, rhythms, or any other info) and ask for a 10-minute sectional plan with warm-ups that target those challenges.

AI can’t hear your ensemble (thank goodness, some days). But it’s great at building practice routines once a human tells it what’s wrong. That’s the job split we’re after: humans diagnose, AI drafts, humans decide.

📏 Measure 2 Things:

  1. Compare each section’s diagnosis to yours. How often do they catch what you would have caught?
  2. Re-record the passage after the sectional and tally each problem as fixed / better / same. Turn it into a “section wars” competition? Man, do my learners love competition.

#2: Red Pen the Robot

AI is confidently wrong a lot. For learning designers, that’s gold, because error identification is a SOLID deeper learning strategy.

🧪 Try this

  1. Take a picture of a tricky rhythm from your piece.
  2. Upload it to AI and ask it to count the rhythm out.
  3. Ask learners to be the fact-checker and find what’s wrong, prove it, fix it!
  4. Clap and play the correct rhythm together.

(Remember Mr. Combs 3000 from Issue 14? I too like to reduce, reuse, and recycle… strategies)

📏 Measure: Errors caught vs. errors present. Repeat this with new music. If the catch rate climbs, they’re reading the score instead of trusting the robot.

🔄 Don’t Forget: This Is Change Management

If you read the last issue on ADKAR, you already know that announcing “We’re using AI now!” to a room of skeptical teenagers is going to go about as well as announcing it to a room of skeptical adults.

  • Awareness: Why does this matter for THEM? Show them the data: AI skills are the fastest-growing skills employers want.
  • Desire: What gets better for them? They’ll be ready for questions their future boss will ask.
  • Knowledge and Ability: The strategies above.
  • Reinforce: Find a cadence to continue building these critical skills!

Your Thoughts

Where do your learners land on the AI spectrum right now? Avoiders, over-users, or somewhere in between?

What’s one way you’ve helped them use AI without skipping the thinking?

​Share your thoughts here​

Updates from the Music Room

🎶 NEW FREE Music: Tiny Worlds 🎶

A collection of four beginner mallet duets.

​Link to Preview | Link to Request Score/Parts​

I’ve already gotten requests for these from South America and Asia. 🌏

Educators around the world believe in the power of getting young percussionists on mallets EARLY. I hope you do too!

🗣️ Upcoming Conferences 🗣️

MMEA State Conference | Feb. 5–6​
​Presenting & Exhibiting

TMEA Convention | Feb. 10–13​
​Presenting & Meet The Composer w/ TUX People’s Music at their booth.

Reach out if you’ll be in attendance at either so we can grab coffee and nerd out about learning design (I hate coffee. A donut, maybe? 🍩).

Previous Issue: WHY NO ONE DOIN’ THE NEW THING?!​

​PIXEL Web Links & Socials​

PIXEL

PIXEL is the pen name of composer and educator Evan Combs. This playfully academic newsletter offers a behind-the-scenes look at designing and shaping learning experiences and culture. Supported by practical insights and actionable strategies, it’s perfect for teachers, leaders, and anyone curious about the art and science of learning through the lens of music.

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