One new AI data center per month represents $25 billion in annual revenue capacity each month and then it will triple to $75 billion per month with Rubin chips in 2027. Completing facilities at a monthly pace would make construction speed a major driver of SpaceX’s valuation.
That is the core of the $1,000-per-share SpaceX scenario for 2027.
SpaceX has INSANE speed to turn power, buildings, chips, and customer demand into operating facilities—and then into earnings. It will grow faster than any company ever.
Start With One Data Center
My baseline calculation uses a half-gigawatt facility and an assumed leasing rate of $50 billion per gigawatt per year:
**0.5 GW × $50 billion per GW-year = $25 billion in annual revenue capacity.**
Four facilities at those assumptions would represent **$100 billion in annual revenue capacity**.
That is the significance of the four-center late-2026 buildout discussed in the video. It establishes a potential production rhythm that could continue into 2027.
These figures describe annualized capacity at the modeled pricing and utilization. A facility opening in December does not generate a full year of revenue in December. Opening dates, customer ramp-up, and actual utilization determine how much revenue appears in the financial statements.
Monthly Construction Changes the Scale
If SpaceX completed twelve comparable facilities in a year, those additions would represent $300 billion in annual revenue capacity once fully operating at the baseline assumptions.
That is not a forecast of $300 billion in revenue collected from those facilities during their construction year. It shows the scale of the revenue base a sustained monthly build rate could create.
This is why construction speed matters so much. A repeatable process for delivering AI facilities can expand earning capacity far faster than occasional, isolated projects.
The business question becomes: can SpaceX maintain that pace while securing chips, power, customers, and financing?
Faster Chips Will Multiply Revenue and Profits
The discussion also explores how next-generation Nvidia hardware could increase the productive value of a facility.
More useful computation from the available infrastructure could improve its economics. But a hardware performance improvement does not automatically produce the same percentage increase in revenue. Pricing, customer workloads, utilization, and operating costs all matter.
Chip delivery in volume is therefore one of the milestones to watch.
How Does This Become a $1,000 Share-Price Scenario?
Revenue capacity alone cannot establish a share price. The complete chain is:
**Operating capacity → recognized revenue → net earnings → earnings per share → valuation multiple.**
Each step needs its own assumptions. Construction costs and financing affect the economics. Margins determine how much revenue becomes profit. Share count determines earnings per share. The valuation multiple determines what investors pay for those earnings.
Herbert and I work through that chain and the assumptions behind my $1,000 scenario.
The most useful takeaway is a set of operating milestones: facilities completed, chips installed, customers using the capacity, and earnings following the buildout.
Those results will show whether the valuation case is strengthening.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
