“The complexity for minimum component costs has increased at a rate of roughly a factor of two per year.”
Gordon Moore wrote this sentence in a 1965 Electronics magazine article titled “Cramming More Components onto Integrated Circuits.” Then research director at Fairchild Semiconductor, Moore examined the short history of integrated circuits and noticed that the number of components at the lowest manufacturing cost per component had been rising rapidly. He projected that the trend could continue for about a decade. The observation later became known as Moore’s Law and helped frame expectations for the semiconductor industry.
The original wording matters. Moore was not announcing a law of nature, and he was not simply predicting that every computer would become twice as fast each year. He connected increasing complexity with economics: manufacturers could place more components on a chip while reducing the cost of each component, provided advances in design and fabrication kept pace. The famous doubling was therefore a forecast about an industrial learning curve. Later versions shifted the interval, but the enduring idea was that sustained engineering improvement could make computing dramatically more capable and affordable.
Once the forecast became widely accepted, it also began to influence behavior. Chipmakers planned factories, research programs, and product road maps around regular gains in density. Software and device companies designed future products with the assumption that more computing power would arrive. In that sense, Moore’s Law became partly self-reinforcing: a shared target coordinated investment across a vast supply chain. Yet each new generation still required difficult breakthroughs in lithography, materials, transistor design, packaging, and manufacturing control.
Today, engineers debate whether traditional transistor scaling has slowed and which measures should replace a simple component count. Specialized accelerators, chiplets, advanced packaging, energy efficiency, and new architectures now contribute to progress alongside smaller features. Moore’s sentence remains valuable precisely because it encourages careful measurement rather than mythology. Technology improves through accumulated choices, capital, research, and production expertise—not by an automatic calendar. The quote also offers a useful standard for evaluating modern claims. Ask which kind of complexity is growing, what cost is being minimized, how energy use changes, and who can afford the resulting systems. That richer view preserves the insight behind Moore’s forecast while acknowledging that progress can move along several dimensions at once.
Moore based his 1965 projection on the young integrated-circuit industry and the relationship between component density and manufacturing cost.
He expected the trend to continue for roughly ten years; later retellings adjusted the doubling interval and broadened the claim.
The statement is an economic and engineering observation, not a physical commandment. More components mattered because they could be delivered at lower cost per component.
Its influence became partly self-reinforcing as companies coordinated research, factories, and product plans around a shared expectation of improvement.
Traditional scaling now faces harder constraints in energy, fabrication cost, and physical dimensions, but innovation continues through architecture and packaging.
Reading the original quote helps separate measurable progress from slogans and directs attention to cost, efficiency, access, and real-world capability.
Explore more "Quotes of The Day"
Discover more notable quotes from influential voices across politics, science, business, technology, sports, and culture. Each quote offers insight into how ideas, beliefs, and decisions shape the world around us.