why now · the case for parents

The biggest tool in history just landed.
The skill to steer it didn't.

A billion people use AI every month. Almost nobody can direct it well — and the ones who can are already worth more. On Makery, kids aged 10–18 learn to direct AI young, by making games they love, and carry the head start for life. Here's the honest case, number by number.

ages 10–18 · a parent says yes to publish · no ads, no DMs
Parent-approved publishing No DMs, ever No ads, ever Kids direct AI — they don't just use it
01 · the numbers

Everyone uses it. Almost nobody can direct it.

Usage went straight up. The skill to steer it stayed flat. That gap is the clearest opportunity of your child's generation.

1.1Bpeople used AI every month by mid-2026 — up from 358M a year earlierStatista
62%higher advertised pay for roles that need AI skills — and climbingPwC AI Jobs Barometer
4%of workers are actually training the skill, though half say it's criticalworkforce surveys 2025

A billion users, no standard way to prove the skill, and a real premium for the few who have it. That's not a hole in the story — it's the head start waiting for a kid who starts now.

2 moChatGPT reached 100 million users in two months. Instagram took two and a half years.public launch metrics
1 in 6humans on Earth used a generative AI tool in the second half of 2025.Microsoft
#2India became AI's second-largest market in early 2026 — the growth is in Asia, not just Silicon Valley.regional usage reports
$2.52Tforecast worldwide AI spending in 2026 — up 44% in a single year.Gartner
86%of students worldwide already use AI in their schoolwork — using it and directing it are not the same thing.global education surveys
0widely accepted ways to measure how well a person directs AI. The record your child builds here is the proof.measurement research, 2025
02 · the price of direction

The market already pays more for people who can direct AI.

Not a projection — measured on over a billion real job postings, and it has grown every year it's been measured. Depth pays more than dabbling.

say AI skills are critical
54%
are actually training them
4%
pay premium for two-plus AI skills
43%
premium for AI roles, 2025
56%
the same measure, 2026
62%
McKinsey · Lightcast · PwC AI Jobs Barometer 2025/2026 — a 50-point gap between knowing and doing
×2The AI-skills wage premium doubled in one year — 25% to 56% — then kept climbing to 62%.PwC AI Jobs Barometer
4×Productivity growth in the industries most exposed to AI, against the least exposed.PwC
> MScIn UK job postings, the AI-skills premium now beats the premium for a master's degree.UK postings analysis
03 · the shift

The skill isn't typing.
It's thinking clearly.

The same tool raises one person and quietly lowers another. Both findings are rigorous — they describe two different ways of using the same machine, and the line between them is one skill: directing it, or handing it your thinking.

Direct it — value goes up

When you decide what you want, the machine drafts, and you judge what comes back, AI raises your control and confidence. That's the pattern behind the 62% premium and the 4× productivity number.

The trick is staying in charge: you know what you want before the model speaks, and you reject what misses it. That's a skill — and skills are learnable young.

PwC · Lightcast · task-complexity studies

Offload to it — the skill fades

MIT Media Lab put writers under EEG: those who let the model do the thinking showed lower engagement — and later did worse without AI than people who'd never used it. They named it cognitive debt.

A 666-person study links heavy passive use to weaker critical thinking. And when everyone runs ideas through the same model, everyone starts sounding the same.

MIT Media Lab · Gerlich 2025 · Doshi & Hauser 2024

A billion people are handing the machine their thinking.
The head start goes to the kids who keep theirs.

04 · what it means for your kid

The head start is learnable — and it's fun.

Directing AI is really six habits of clear thinking. On Makery, your child grows every one of them by making games they actually want to make — never a worksheet, never a fake score.

▸ makers · 10–13

They start by making something they love.

A game with a fox that jumps and grabs coins. To make it good, they have to say exactly what they mean, judge what the AI gives back, and fix what's wrong — the same habits that pay off for life. It just feels like play.

◇ makers · 14–18

They build real things — and prove how they think.

Bigger builds, and a record of how they actually work: what they asked for, what they rejected, what they changed and why. That record is the closest thing there is to proof of the skill everyone's hiring for — started young.

01

Clear Communication

Say exactly what you want, so you get it.

02

Problem-Solving

Break big into small, then keep improving.

03

Creativity

Imagine something of your own, first.

04

Critical Thinking

Judge the result — don't trust it blindly.

05

Self-Awareness

Notice how you think and learn.

06

Ownership

Direct the tool; own the result.

We keep this honest. The wage premiums are measured on what employers advertise — strong evidence, but not a promise of anyone's paycheck. Makery makes no job or income guarantees, least of all for kids. What we promise is real: your child learns to direct AI by making things they're proud of, and keeps a record of how they think while they do it.

what to do with all this

The gap is the opportunity. Starting young is the edge.

Try it free today

It takes five minutes to make a first game. No card, ages 10–18, and nothing goes public until you say yes. Your child directs the AI in plain words — and starts building the habit that will matter most.

Start free — no card

See exactly how it works

How a plain-words prompt becomes a real game, how the six values grow with every build, and how the whole thing stays safe by design — with a parent in the loop from day one.

See how it works

Sources · Statista · Microsoft · McKinsey · Gartner · PwC AI Jobs Barometer 2025/2026 · Lightcast · Pew Research · MIT Media Lab · Gerlich 2025 · Doshi & Hauser 2024. Premiums are measured on advertised job postings; Makery makes no income or job-outcome promises. More reading on the Recipes blog.