AI keeps getting better at digital tasks, which is terrific right up until it starts attending your performance review. This is a satirical-but-serious project for IT people who want a second, practical skill that is harder to automate: carpentry, welding, plumbing, machining, electrical work, and more.
Get updates, trade spotlights, practical resources, and early access to future stuff we launch for dual-skilled humans. No spam. No "become a millionaire welder in 14 days" nonsense.
If any of these feel familiar, congratulations: your nervous system is already prequalified.
You used to discuss architecture. Now you discuss prompts.
The spreadsheet called it "headcount opportunity."
Respect. Also: alarming.
You spend more time correcting machines than writing code.
Somehow this did not make your stress shrink.
This is either a hobby phase or your intuition trying to save you.
A fixed sink has fewer merge conflicts.
Bold strategy in this economy.
You do not need to quit IT.
You do not need to panic.
You do not need to pretend the labor market is static.
You can keep your current career and build a second one slowly. A skilled trade can be:
The point is not "escape tech."
The point is stop depending on one
category of work.
Not every job is equally resistant to automation. We like practical, local, judgment-heavy work that happens in the real world and usually involves tools, measurements, materials, or consequences.
Build things people touch every day.
Measure twice. Cut
once. Blame no framework.
Good fit for IT people: precision mindset, planning and sequencing, satisfaction from visible results
Hard to automate because: variable spaces, on-site decisions, material behavior and finishing judgment
Hot metal. Real consequences. Beautiful beads.
The
compiler warnings are brighter here.
Good fit for IT people: process discipline, standards and safety thinking, practice-based mastery
Hard to automate because: setup variation, field conditions, human quality judgment
Society continues to need water where it
belongs.
Arguably more essential than another AI wrapper.
Good fit for IT people: troubleshooting, systems thinking, calm under pressure
Hard to automate because: messy environments, hidden failures, fast diagnosis on-site
Debugging, but the bug can bite back.
High respect
profession. Low tolerance for guessing.
Good fit for IT people: logic and circuits mindset, rule-following, documentation habits
Hard to automate because: code compliance, site-specific work, inspection and safe execution
Tolerance matters. Finally, in millimeters.
Precision,
setup, feel, and craft.
Good fit for IT people: precision and repeatability, process optimization, measurement discipline
Hard to automate because: setup and fixturing decisions, material variability, practical judgment during machining
Serious public-service work, not a quirky side quest.
A
demanding profession built on presence, judgment, and trust under pressure.
Good fit for IT people: incident response, procedure, and staying calm when situations get messy fast
Hard to automate because: complex human interactions, unpredictable environments, accountability, and community trust
Almost impossible to automate because contradiction is still a human
art.
Campaign promises, committee meetings, and legacy systems all in one
role.
Good fit for IT people: debating features that will never be built, translating jargon, and surviving hostile stakeholder reviews
Hard to automate because: AI still struggles with coalition-building, symbolic handshakes, and saying three incompatible things in one sentence
The backbone of physical logistics.
Massive respect for
the people who keep the shelves stocked while the rest of us optimize slide decks.
Good fit for IT people: long-focus work, route discipline, and monitoring complex systems for hours without improvising nonsense
Hard to automate because: real roads, docks, weather, regulations, and human chaos remain more complicated than glossy demos suggest
Service, discipline, and risk on a level office work should not
pretend to understand.
Not a casual backup plan. A serious profession with
serious consequences.
Good fit for IT people: procedure, coordination, technical systems, and functioning when conditions are bad and stakes are worse
Hard to automate because: physical presence, judgment, accountability, and moral responsibility do not compress neatly into software
We are not suggesting "just get any second job." We are focused on skills that are:
Let's be clear: transitioning to a new profession is not easy and it won't happen in a few weeks. There are no overnight success stories here. The goal is long-term resilience, not short-term panic hiring.
If this project grows, we would like to point people toward realistic training paths, credible schools, unions, and policy conversations instead of startup-pitch hallucinations.
Follow us to get updates on what we launch next, trade-by-trade starter guides, interviews from people with dual careers, part-time learning strategies, and occasional sarcasm.
Early followers will get first access to future community features, experiments, and resources.
Potentially one weekend, if your expectations are normal.
Noticeable after successfully fixing one real thing.
Lower. That is kind of the point.
Depends on the task. Usually "please bring a ladder."
Suspiciously high.
Non-zero and rising.
Yes. Also no. The tone is satirical. The idea is serious: diversify your skills, reduce career risk, and become more useful in more than one way.
No. AI is a tool, and it will keep changing how digital work is done. This project is about resilience and optionality, not panic or denial.
No. The whole point is to keep your current career while building a second skill gradually.
Because many skilled trades combine physical execution, judgment, and local context in ways that are still hard to automate completely.
No. This is for anyone in IT who wants a practical second profession. Skilled trades are for women and men. We want the tone to be funny, not exclusionary.
Updates, trade spotlights, resource roundups, and future announcements about what we build for this community.
Maybe in the future. First we are building the audience, learning what people want, and sharing useful resources.