🤖 Robots
Humanoids in factories, then homes. The physical world meets AI.
📊 The Numbers
Tesla, Figure, 1X racing to mass production. 2027 = volume shipments.
🏢 The Players
📍 Where They Start
Manufacturing
Car factories. Repetitive assembly. Tesla's own factories first.
Warehouses
Amazon, FedEx. Moving boxes, sorting. Low complexity, high volume.
Healthcare
Patient transfer, supply delivery. High labor shortage = high demand.
Homes
Laundry, dishes, cleaning. Hardest problem, biggest market.
📅 Timeline
⚠️ Challenges
Motors & Battery
Human efficiency is hard. Hours of runtime, not days.
Manipulation
Picking up pens, folding clothes — harder than it looks.
Safety
70kg metal near humans. One mistake = injury.
Cost
Prototypes $100K+. Need $20K for mass adoption.
🧠 Why Now? AI Meets Bodies
The hardware was ready. The software wasn't. Now:
Vision Models
Robots can finally "see" and understand environments.
Language Models
Robots understand instructions, not just sequences.
Planning Systems
Multi-step tasks figured out autonomously.
Simulation Training
Millions of practice runs before touching reality.
🔮 What It Means
- Blue-collar automation hits alongside white-collar
- Physical trades (plumbers, electricians) safer longer
- Home robots by 2030s
- Elder care robots address aging populations