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Category: Laws
Type: Empirical Observation
Origin: Electronics, 1965, Gordon Moore
Also known as: Exponential Growth of Computing, Transistor Scaling
Quick Answer — Moore’s Law is the observation that the number of transistors on a microchip doubles approximately every two years, while the cost of computers decreases proportionally. Coined by Intel co-founder Gordon Moore in 1965, this observation has driven five decades of technological progress, enabling increasingly powerful computers, smartphones, and digital devices at falling prices.

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What is Moore’s Law?

Moore’s Law describes the exponential improvement in computing power that has characterized the semiconductor industry since the 1960s. The law predicts that the number of transistors (the tiny switches that process information) on integrated circuits will double roughly every two years.
“The complexity for minimum component costs has increased at a rate of roughly a factor of two per year.” — Gordon Moore, 1965
This exponential growth means that computing power increases not arithmetically but geometrically. A smartphone today has more processing power than the room-sized supercomputers of the 1970s. This dramatic improvement has transformed virtually every aspect of modern life, from communication and entertainment to medicine and scientific research.

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Moore’s Law in 3 Depths

  • Beginner: Recognize that computing power has grown exponentially since the 1960s, making devices smaller, faster, and cheaper over time.
  • Practitioner: Use this law to anticipate technological capabilities when planning projects. Assume capabilities will roughly double every two years.
  • Advanced: Understand the physical limits of transistor scaling and the engineering challenges that may eventually end traditional Moore’s Law growth.

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Origin

Gordon E. Moore (1929-2023) was an American engineer and entrepreneur who co-founded Intel Corporation, one of the world’s leading semiconductor manufacturers. In 1965, Moore was working at Fairchild Semiconductor when he wrote a paper predicting the future of integrated circuit technology. His original observation focused on the cost of complex electronic components. Moore noted that the number of components per integrated circuit had been increasing exponentially since the invention of the integrated circuit in 1958. He predicted this trend would continue for at least ten years. In 1975, Moore revised his prediction, suggesting that doubling would occur approximately every two years rather than one year. This revised timeframe proved remarkably accurate and became the canonical version of Moore’s Law. For decades, the semiconductor industry used this observation as a roadmap for research and development investment.

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Key Points

1

Exponential growth compounds dramatically

While doubling every two years sounds modest, exponential growth produces staggering results. Over 50 years, this means roughly 25 doublings—creating a million-fold increase in computing power.
2

The law is an observation, not a physical law

Unlike laws of physics, Moore’s Law describes an industry trend driven by economics and engineering. It has continued through deliberate effort, not because it must.
3

Physical limits are approaching

At current scales, transistors are only a few nanometers in size—comparable to the width of a few atoms. Further miniaturization faces fundamental physical barriers.
4

Other dimensions of progress matter too

Even if transistor count stops doubling, improvements in architecture, software, specialized hardware, and energy efficiency continue to drive performance gains.

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Applications

Technology Planning

When planning software projects or technology investments, assume capabilities will roughly double every two years. Plan architectures that can scale with increasing compute power.

Product Strategy

Recognize that today’s expensive, cutting-edge capabilities become tomorrow’s commoditized basics. Focus on value rather than just features.

Investment Decisions

The semiconductor industry has historically grown steadily due to Moore’s Law. Consider how Moore’s Law applies—or doesn’t—to emerging technologies.

Personal Productivity

Recognize that waiting a few years typically yields dramatically more powerful tools. Time technology purchases strategically.

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Case Study

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The Personal Computer Revolution

When Moore made his prediction in 1965, computers were room-sized machines costing millions of dollars, accessible only to large organizations and governments. The IBM PC, released in 1981, cost about $1,500 and had 16KB of memory—revolutionary for its time but primitive by today’s standards. By 1990, a typical personal computer had more processing power than the 1981 IBM PC. By 2000, computers were multimedia devices capable of gaming and video editing. By 2010, smartphones emerged that exceeded the computing power of 1990s supercomputers. The economic implications were profound. The cost per computing operation fell from roughly $1 in 1970 to less than a tenth of a cent by 2020. This dramatic cost reduction enabled entirely new applications: the internet, social media, artificial intelligence, and mobile computing. Companies that aligned their strategies with Moore’s Law thrived. Intel, AMD, and ARM dominated processor manufacturing. Companies that ignored the pace of change—like BlackBerry in smartphones or Kodak in digital photography—found themselves disrupted.

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Boundaries and Failure Modes

When the principle doesn’t apply:
  • Technologies beyond semiconductors: Moore’s Law applies specifically to digital logic circuits. Other technologies (mechanical systems, chemistry, biology) follow different patterns.
  • Single-generation predictions: While long-term trends hold, short-term fluctuations in the industry can mask or temporarily reverse the underlying exponential growth.
Common misuses:
  • Assuming it will last forever: Physical limits are approaching. While innovation continues, the specific “doubling every two years” pattern cannot continue indefinitely.
  • Ignoring the cost dimension: Moore originally wrote about cost efficiency. Focusing only on performance while ignoring economics leads to flawed analysis.
  • Applying it universally: The law describes integrated circuit trends. Applying it to unrelated fields (like organizational productivity or economic growth) is generally inappropriate.

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Common Misconceptions

Wrong. Moore’s Law is an observation of historical trends, not a guarantee of future progress. Physical limits may end the era of transistor scaling.
Wrong. It’s an empirical observation driven by economic incentives and engineering innovation. It continues only through deliberate industry effort.
Wrong. Even if transistor scaling slows, other dimensions of computing progress—architecture, software, specialized hardware, quantum computing—continue to advance.

Kryder's Law

The observation that disk storage density doubles roughly every 13 months.

Wright's Law

The principle that production costs decline by a fixed percentage for each cumulative doubling of production volume.

Metcalfe's Law

The value of a network grows proportionally to the square of its users.

Dennard Scaling

The observation that power consumption per transistor stays constant as transistors get smaller.

Quantum Computing

Computing using quantum mechanical phenomena, which may enable exponential speedups for certain problems.

Transistor

The fundamental building block of modern digital electronics, a switch that can be turned on or off electronically.

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One-Line Takeaway

Remember: computing power has grown exponentially for five decades—but this remarkable trend is an economic observation, not a physical certainty, and it will eventually face fundamental limits.