Fifty Years of Transistors on a Chip
From 2,300 transistors on the first microprocessor to more than a hundred billion on a modern system. The curve that defined computing, and the reasons it is bending.
The Daily Edition2 min read
Illustrative. This article is demonstration content written to show The Daily Edition. It does not report actual events. Historical and scientific facts are attributed to real sources in the Deep Dive.
Quick Read · about 24 seconds
- What happened
- The number of transistors on a single chip rose from about 2,300 on the Intel 4004 in 1971 to roughly 114 billion on Apple's M1 Ultra in 2022, a doubling roughly every two years, as Gordon Moore predicted in 1965.
- Why it matters
- This exponential improvement is the economic engine behind every digital technology of the past half century, including the computing that trains AI models today.
- What remains uncertain
- Transistors are now near atomic scales. Whether progress continues through new materials and three-dimensional stacking, or shifts to specialized designs, is the open question of the next decade.
In 1965 Gordon Moore, then at Fairchild Semiconductor, observed that the number of components on an integrated circuit had doubled roughly every year and predicted the trend would continue. He later revised the pace to about two years. The prediction held for half a century, which is why it became a law.
The chart shows transistor counts for selected processors on a logarithmic scale, where a straight line means exponential growth. The data points are drawn from manufacturers' published specifications. The selection is illustrative: it tracks one company's mainstream processors for the first decades and widely cited systems thereafter, not the largest chip available in any year.
Why the curve is bending
Transistors are now measured in a few nanometers, with features approaching the size of a few dozen atoms. Shrinking further runs into the limits of physics and the economics of fabrication plants that cost tens of billions of dollars. The industry has responded by stacking chips in three dimensions, combining multiple chips in one package and designing chips specialized for particular tasks. The transistor count keeps rising; the cost per transistor, which fell for decades, has flattened.
Why it matters now
The models that power current artificial intelligence are trained on tens of thousands of specialized chips. Their capability has grown with the computation available to them. Whether that growth continues depends on exactly the engineering questions the bending curve raises.
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