WOW FACTOR
Your iPhone vs. 1965 Supercomputing
If you wanted in 1965 the computing power you now hold in your iPhone, you would have needed to spend the equivalent of:
$20 trillion (in today’s dollars)
That is the actual calculation of the cost of materials and development in 1965.
Your “1965 iPhone” container would be:
-
- Over half a mile tall
- About a quarter mile wide
- As thick as a 15-story building
What It Would Have Taken in 1965
To match the computing power of a single modern iPhone:
-
Cost (1965):
~$2.0 trillion
(≈ $20 trillion today) -
Computers required:
~666,000 CDC 6600 supercomputers
(the fastest machines in the world at the time) -
Electric power:
~20 gigawatts, continuously
(roughly 20 large power plants) -
Land and buildings:
~820 acres of raised-floor, air-conditioned facilities
(larger than Central Park) -
Electricity cost alone:
~$4 billion per year (1965 dollars)
One iPhone
- 1965:
- 80 Apollo Moon Programs
- 30 Interstate Highway Systems
- billions per year just to keep the lights on
- hundreds of football fields
- Now:
- Cents to recharge
- Fits in your pocket
- Affordable version every year
Why This Matters
In 1965, this level of computing power was not just expensive —
it was national-scale, military-grade, and economically prohibitive.
Today, it is ordinary. Teenagers carry it. Children play with it. We use it to scroll.
More than “progress” this is a civilizational phase transition
- Like water freezing or boiling, the rules change.
- Before: compute is scarce, centralized, strategic.
- After: compute is abundant, personal, ambient.
The Ordinary Miracle
What once required more money than the entire U.S. economy produced in a year is now something we casually upgrade every few years.
For the compute in an iPhone:
- The cost dropped by a factor of 10 billion
- The size dropped by a factor of 300 billion
- The power dropped by a factor of 4 billion
Civilization rewritten in silicon.
This comparison illustrates the compounding effects of decades of advances in semiconductor density, energy efficiency, manufacturing scale, and global competition.
If this feels advanced, remember: it was built before AI automated intelligence itself.
So hat’s off to the carnival barker: “We ain’t seen nothing yet!”