Pass 1 asks one question.
Does the shape work in grey?
No bevels.
No colours.
No lights of your own.
Primitives, one clay material, real units, the default studio lights.
Form is the only thing left to judge.
Colour starts lying the moment you add it, so the silhouette has to read before it does.
Do you check your models in grey first?
Pass 1 and the prompt that drives it 👇
$20,000 ROBOTS. $100,000 EMPLOYEES. BILLIONS IN AI PROFITS. WHO WILL MAKE MONEY IN THE NEW ECONOMY?
Elon Musk believes AI and humanoid robots could transform the way the world works. But behind the futuristic technology lies a much bigger question: how much money can automation generate, and who will actually get rich from it?
$20,000 — THE HUMANOID ROBOT REVOLUTION
Tesla has discussed a potential price around $20,000 for Optimus at scale. If robots reach this price while becoming capable enough to perform useful tasks, businesses could rethink how they manufacture products and deliver services. This remains a target, not a confirmed retail price.
$100,000+ PER YEAR — THE COST OF HUMAN LABOR
In some industries, the total annual cost of an employee can exceed $100,000. A robot could eventually reduce certain labor costs, but its real economic value depends on purchase price, maintenance, electricity, downtime, and productivity.
$24/7 — A NEW KIND OF PRODUCTIVITY
Robots could work across multiple shifts, with time allocated for charging and maintenance. For factories and warehouses, more operating hours could mean higher output without a proportional increase in staffing.
$1 MILLION — A BUSINESS OPPORTUNITY
Imagine a company using AI agents to automate customer support, software development, marketing, and administration while robots handle physical tasks. A business generating $1 million in annual revenue could potentially operate with a much smaller team. That is an illustrative scenario, not a guaranteed result.
$1 BILLION+ — THE BIGGER GAME
The real opportunity may not be buying a single robot. It may be owning the technology, building AI-powered businesses, developing robotic software, or providing maintenance and automation services to thousands of companies.
Elon Musk has also discussed a future of abundance and universal high income as AI and robotics advance. But the timing, economic impact, and distribution of that wealth remain uncertain.
The biggest question is simple:
When AI can think, robots can work, and machines can produce value around the clock, who will own the machines — and who will collect the money?
Will ordinary people become wealthier, or will most of the profits go to those who control AI and robotics?