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ROBOT LABSCALE 02

An industry that grows.

Each new robot can help build the next.

Manufacturing needs a complete chain of materials, components and testing.

Illustrative scenarios: each scale starts with its own assumptions. No dates or employment forecasts.

Building the district…
DAY 0108:00
Working shift
Paused
Humans on shift740 of 74 tasks covered by robots
Robots on shift00 charging / in service
Robots deployed00 on the way
INDUSTRIAL DISTRICT ↗
Click to explore
0174 people start the industry. No robots yet.
HumansRobotsRobot arrivingCharging / serviceDrag to explore · scroll to zoom · ⇧ to rotate
0 finished in the last hour
0robots built
EXPLORE THE DAYIllustrative time · not real industrial timelines
JUMP TO A MOMENT
THE CHANGE IN OUTPUT

The same supply chain, with and without robots.

Reference: the same 74 people, initial stocks and equipment, without deploying robots or expanding facilities. Your strategy may include both.

Your strategy0finished robots
Human work only0finished robots
Change in output—No elapsed hours yet
● Your strategy┄ Human work only

Each point sums the previous 24 hours, or elapsed hours at the start. This measures supply chain output, not individual productivity.

What advantage does each robot have in this model?

Equal working pace: 0.5 batches per active hour. A person is available for 8 hours a day; a robot for 21, allowing for charging and maintenance. That allows 4 versus 10.5 batches processed per worker per day before material and equipment limits. Human factories can also run multiple shifts.

WHAT DOES THE NEXT ROBOT NEED?

Follow its materials.

Explore a robot's dependencies. Stocks belong to the whole network: this tour explains the recipe rather than tracking an individual batch.

SEND NEW ROBOTS TO
ROBOTS BUILTYour strategy Assembly only
Your strategy 0Assembly only 0
With assembly-only reinvestment0 robots
Next scaleCity →

Production, exponential growth and costs →

THE EXPERIMENT

First, the handover.
Then, expansion.

You start with 74 people, materials and parts in stock, and no operational robots. Mine → refinery → structures, motors, batteries and electronics → kits → assembly → testing. Stocks are consumed: if one component family is missing, the chain waits.

New robots can reinforce all these processes. They cover human tasks and, when machinery limits output, help build expansions. Speeding up assembly alone leaves other bottlenecks in place.

Reinvestment
Up to 70%, depending on useful capacity
Human shift
08–12 and 14–18; lunch and rest
Each robot's schedule
21 h available, 2 h charging, 1 h service
Deployment
2 simulated hours of travel
Expansions
2 robots, 12 work hours; up to 3 projects
External supplies
Energy, equipment and specialized inputs

Schedules, quantities, productivity and task replacement are teaching assumptions, not Tesla data. The 12 days compress a process without representing its real duration. Human factories can also run multiple shifts; one is used here to make breaks visible. Robot charging and service are staggered; each individual robot stops too.

People whose tasks are covered remain in the neighborhood. This represents task coverage, not an employment forecast. Robots are assumed to master the tasks and receive specialized machinery and materials. Random failures, rejected units, new deposits, costs and permits are not modeled. Mining, machinery and deployment have limits: growth is not exponential forever.