The Only Job Left Is Being A Builder
The Only Job Left Is Being A Builder
I used to think jobs were about skills.
But here’s the thing—skills commoditize.
Coding, writing, even security ops—they’re getting swallowed by LLMs.
In five years, if you’re not building, you’re maintenance.
You’re the guy who turns on the lights.
The Shift Nobody’s Talking About
Traditional career path:
- Learn a skill (coding, design, writing)
- Get hired for that skill
- Execute that skill for years
- Become senior at that skill
- Retire with that skill
New reality:
- AI learns your skill (instantly)
- AI executes your skill (faster than you)
- Your skill becomes commodity (free or cheap)
- You either build things with AI or become irrelevant
The uncomfortable truth: Skills are no longer the differentiator.
What’s Commoditizing Right Now
Coding
Before: Valuable skill, high pay Now: AI writes code faster than most developers Soon: Writing code manually will be like digging ditches with a spoon
Writing
Before: Copywriters, content writers, technical writers Now: AI generates decent copy in seconds Soon: Writing skill without AI leverage will be minimum wage
Design
Before: UI/UX designers command high rates Now: AI generates mockups, prototypes, variations Soon: Design execution without AI will be commoditized
Analysis
Before: Data analysts pull insights from data Now: AI analyzes data faster and finds patterns humans miss Soon: Analysis skill alone won’t be enough
Security Operations
Before: Security analysts review logs, find threats Now: AI detects anomalies and flags issues automatically Soon: Manual security operations will be legacy work
What Doesn’t Commoditize
The ability to build.
Not execute. Build.
The difference:
Execution: Do the task you’re told to do Building: Figure out what needs to exist and make it real
Executors become commoditized. Builders become more valuable.
What “Building” Actually Means
It’s not about making things with your hands.
It’s about:
1. Seeing What’s Missing
- “Nobody’s solving X problem”
- “This process is broken”
- “There should be a tool for Y”
- “We need Z but it doesn’t exist”
2. Designing The Solution
- “Here’s what it should do”
- “Here’s how it should work”
- “Here’s who it’s for”
- “Here’s how we’ll know it works”
3. Making It Real
- “I’m going to build this”
- “I’ll use AI to handle X, Y, Z”
- “I’ll validate it with real users”
- “I’ll iterate until it works”
4. Getting It Used
- “Here’s who needs this”
- “Here’s how they’ll find it”
- “Here’s why they’ll pay”
- “Here’s how it grows”
Execution is step 3. Building is all four steps.
The New Job Description
Old jobs:
- Software Engineer (executor)
- Content Writer (executor)
- Designer (executor)
- Analyst (executor)
New jobs:
- Builder (uses AI to engineer)
- Builder (uses AI to write)
- Builder (uses AI to design)
- Builder (uses AI to analyze)
The pattern:
Your skill becomes what you build AI becomes how you build it
Why This Matters Now
Because the transition is happening fast.
Timeline I’m seeing:
2023: AI can help with coding 2024: AI can handle most coding tasks 2025: AI can build entire features 2026: AI can probably build entire products 2027-2030: ???
If you’re still thinking of yourself as “a coder” or “a writer”…
You’re planning to compete with something that’s free, instant, and improving daily.
Bad strategy.
The Only Leverage That Matters
Leverage is output per unit of input.
Old leverage:
- Hire more people (expensive, slow)
- Work more hours (limited, exhausting)
- Learn to work faster (marginal gains)
New leverage:
- Use AI to do what took 10 people
- Use AI to compress 40 hours into 4
- Use AI to build what would take teams
The builder who learns to leverage AI:
- Ships faster than teams
- Costs less than freelancers
- Iterates quicker than corporations
- Executes better than solopreneurs
That’s the new leverage.
What “Learn To Prompt” Actually Means
Everyone says: “Learn to prompt, it’s the future skill”
What they mean: “Learn to communicate what you want clearly”
What they should mean: “Learn to steer machines that can build what you envision”
The difference is huge.
The Three Levels of AI Usage
Level 1: AI Assistant (Most People)
Pattern: Ask AI questions, use it like Google Output: Slightly faster research Leverage: 1.2x
Level 2: AI Executor (Some People)
Pattern: Tell AI to do tasks, review output Output: Tasks done faster Leverage: 5-10x
Level 3: AI Builder (Few People)
Pattern: Chain prompts to build entire products Output: Complete solutions Leverage: 50-100x
Most people are stuck at Level 1.
The future belongs to Level 3.
How To Become A Builder
It’s not a course. It’s a mindset shift.
Step 1: Stop Thinking In Tasks
Old thinking:
- “I need to write this function”
- “I need to design this page”
- “I need to analyze this data”
New thinking:
- “I need to build a feature that does X”
- “I need to create an experience that solves Y”
- “I need to understand what causes Z”
The shift: From tasks to outcomes.
Step 2: Start With The End
Old approach:
- Get assigned a task
- Execute the task
- Deliver the output
- Wait for next task
Builder approach:
- See a problem or opportunity
- Design what should exist
- Use AI to build it
- Validate with real users
- Find next problem
The shift: From executor to architect.
Step 3: Learn To Steer, Not Execute
Executor mindset:
- “How do I code this?”
- “What’s the syntax?”
- “How do I debug this error?”
Builder mindset:
- “What should this do?”
- “Is the output correct?”
- “Does this solve the problem?”
The shift: From doing to directing.
Step 4: Chain Prompts Like Lego Blocks
Single prompt: “Write a function” Result: A function
Chained prompts:
- “Design the architecture”
- “Implement the core logic”
- “Add error handling”
- “Write tests”
- “Security review”
- “Documentation”
Result: A production-ready feature
The shift: From asking for outputs to orchestrating builds.
The Skills That Actually Matter
Not:
- Python syntax
- JavaScript frameworks
- CSS properties
- SQL queries
Instead:
- Problem identification
- Solution design
- Prompt chaining
- Output validation
- User feedback
- Iteration speed
Learn Python if you want.
But learn how to chain three prompts that spit out a working dashboard faster than a dev team.
That’s leverage.
What This Means For Your Career
If you’re an executor today:
Your job is getting commoditized. Fast.
Options:
- Ignore it (become obsolete in 3-5 years)
- Resist it (become bitter as work dries up)
- Adapt to it (become a builder with AI leverage)
Only one of these works.
If you’re a builder today:
You’re about to have a massive advantage.
Why:
- Execution becomes free (AI does it)
- Speed becomes 100x (AI is fast)
- Iteration becomes instant (AI doesn’t get tired)
- Leverage becomes infinite (AI scales)
Your bottleneck is no longer execution.
It’s imagination.
The Uncomfortable Questions
Ask yourself:
-
Am I building or executing?
- Do I design solutions or implement assigned tasks?
-
Am I using AI as a tool or as leverage?
- Do I ask it questions or tell it to build things?
-
Could AI replace my current role?
- If I only execute tasks, probably yes
-
Am I learning to steer or learning to do?
- Am I learning syntax or learning architecture?
-
In 5 years, will my current skills matter?
- If they’re execution skills, probably not
These questions matter now.
Not in five years when it’s too late.
The Pattern I’m Seeing
People who adapt fast:
- Learn to prompt effectively
- Use AI to build entire features
- Ship products in hours/days
- Gain massive leverage
- Become more valuable
People who resist:
- Keep coding manually
- Pride themselves on not “needing AI”
- Fall behind on velocity
- Lose leverage
- Become less valuable
Speed of adaptation matters.
The gap is widening every month.
What I’m Doing
I stopped learning skills.
I started learning how to build with AI.
Specific changes:
Before (Executor)
- Learn new framework syntax
- Read technical documentation
- Practice coding exercises
- Build portfolio projects
After (Builder)
- Design product solutions
- Validate with real users
- Use AI to implement
- Ship to production
Time from idea to shipped product:
Before: Weeks After: Hours
That’s the difference.
The Future Is Binary
In 5-10 years:
Group 1: Builders
- Design solutions
- Steer AI to build them
- Ship fast
- Have leverage
- Create value
Group 2: Maintenance
- Turn systems on/off
- Monitor dashboards
- Follow runbooks
- No leverage
- Commodity labor
There’s no middle ground.
You either build or you maintain.
The Bottom Line
Skills commoditize.
Building doesn’t.
So yeah, learn Python if you want.
But learn how to steer machines that learn skills for you.
That’s leverage.
And leverage is the new job security.
What I’m Not Saying
I’m not saying:
- Don’t learn to code
- Don’t develop skills
- Skills are worthless
- AI will take all jobs
I’m saying:
- Skills alone won’t be enough
- Execution alone gets commoditized
- Building becomes the differentiator
- AI is leverage, not a replacement
The question isn’t whether to learn skills.
It’s whether you’re learning to build with AI or just learning to execute without it.
The Real Skill
The only skill that matters:
Learning how to see what should exist and making it real faster than everyone else.
That’s building.
Everything else is execution.
P.S. - Anyway, I’m off to snowboard—while Grok keeps shipping content.
Builders rest.
They don’t stop.
Your Next Move
Pick one:
- Keep executing (safe now, risky later)
- Start building (uncomfortable now, valuable later)
If you pick option 2:
- Find a problem worth solving
- Design what should exist
- Use AI to build it
- Ship it to real users
- Repeat weekly
Do that for 6 months.
You’ll be a builder.
Do that for 6 years.
You’ll be invaluable.
What will you build this week?