
George Gilder's revolutionary economic masterpiece applies information theory to capitalism, earning Steve Forbes' declaration that it "will reshape economics." Reagan's most-quoted author challenges conventional wisdom, positioning entrepreneurs as innovation drivers while government regulation distorts the vital signals powering true prosperity.
George Franklin Gilder is the author of Knowledge and Power: The Information Theory of Capitalism and How it is Revolutionizing our World and a pioneering economist and technology visionary. Born in 1939, Gilder studied under Henry Kissinger at Harvard and became a leading architect of supply-side economics.
His exploration of how information theory shapes capitalism draws on decades of research into wealth creation and technological innovation, alongside his role as Chairman of George Gilder Fund Management and co-founder of the Discovery Institute.
Gilder's influential works include the million-copy bestseller Wealth and Poverty (1981), which became required reading in the Reagan White House, as well as Telecosm, Microcosm, and Life After Google. He was President Reagan's most frequently quoted living author and received the White House Award for Entrepreneurial Excellence in 1986. Across 19 books, Gilder has established himself as one of America's most prescient analysts of technology, capitalism, and the information age.
Knowledge and Power by George Gilder applies information theory to capitalism, arguing that economic growth stems from entrepreneurial knowledge rather than government planning. Gilder presents capitalism as an information system where entrepreneurs generate high-entropy, surprising innovations that create wealth. The book contrasts the creative knowledge of business owners with government regulation, which Gilder views as "noise" that disrupts economic information flow and causes crises like the 2008 financial collapse.
George Gilder is an American economist, investor, and author born in 1939 who co-founded the Discovery Institute. His 1981 bestseller Wealth and Poverty became President Reagan's most-quoted living author and established him as a pioneer of supply-side economics. Gilder wrote Knowledge and Power to present a new economic paradigm moving beyond traditional supply-side models, focusing instead on information theory as the foundation for understanding how capitalism creates wealth.
Knowledge and Power is worth reading for those seeking an unconventional perspective on capitalism and economic policy. The book offers fresh insights into financial crises, entrepreneurship, and government intervention through the lens of information theory. However, reviewers note it's a challenging read that requires patience. It's particularly valuable for fiscal conservatives, business owners, CEOs, and investors interested in understanding how knowledge and innovation drive economic growth.
Knowledge and Power is ideal for entrepreneurs, investors, policymakers, and business leaders seeking to understand modern capitalism through information theory. The book benefits readers interested in supply-side economics, venture capital, and technological innovation's role in economic growth. Fiscal conservatives and those critical of government intervention will find Gilder's arguments compelling, while economists and financial professionals gain unique explanations for market volatility and financial crises through an information-driven framework.
The information theory of capitalism in Knowledge and Power defines economic progress through information entropy and surprise rather than equilibrium. Drawing from Claude Shannon's work, Gilder argues that information equals unexpected, high-entropy innovations created by entrepreneurs. These surprises drive growth when transmitted through low-entropy carriers like stable property rights, sound money, and rule of law. Markets function as information systems coordinating dispersed knowledge, with entrepreneurial disruption generating the profitable surprises that fuel capitalism.
George Gilder argues in Knowledge and Power that entrepreneurs are creators who invest resources without guaranteed returns, generating surprising innovations that meet unexpressed consumer needs. Their wealth reflects superior knowledge and continuous reinvestment rather than greed or privilege. Gilder presents profits as an "altruism index" measuring value created for others, with successful entrepreneurs bound to their enterprises through constant customer service. This contrasts sharply with government bureaucrats who lack skin in the game and accountability.
Knowledge and Power portrays government as a source of "noise" that distorts economic information flows and suppresses entrepreneurial knowledge. George Gilder argues that excessive regulation, taxation, subsidies, and bureaucratic mandates obscure the information entrepreneurs need to allocate resources efficiently. When government intervenes through spending programs or protectionism, it creates rational decisions based on massive ignorance rather than irrational behavior. This information disruption, not market failures, causes economic crises and inefficiency according to Gilder's framework.
In Knowledge and Power, George Gilder argues that capitalism begins with entrepreneurial "giving"—investments made without guaranteed returns that create value before any exchange occurs. This challenges traditional economic models that view markets purely as transactional exchanges. Entrepreneurs commit capital and resources upfront as gifts to potential customers, taking risks based on knowledge and vision rather than certainty. Only after this initial giving succeeds do profitable exchanges emerge, making altruistic risk-taking the foundation of wealth creation rather than self-interested bargaining.
Knowledge and Power explains the 2008 financial crisis through information mismatches and regulatory noise rather than market greed or deregulation. George Gilder argues that government intervention through housing subsidies, monetary manipulation, and regulatory mandates distorted information flows in financial markets. This created rational decisions based on corrupted signals—like inflated housing prices and mispriced risk—leading to systemic failure. The crisis exemplifies how government "noise" disrupts the knowledge-power linkage essential for efficient capital allocation and entrepreneurial decision-making.
High-entropy information in Knowledge and Power refers to surprising, unpredictable innovations that carry genuine economic knowledge and value. Drawing from Claude Shannon's information theory, George Gilder argues that true information is measured by its surprise factor—predictable patterns contain no new knowledge. Entrepreneurs generate high-entropy information through disruptive products, business models, and technologies that couldn't be anticipated by planning or equilibrium models. This entrepreneurial entropy drives economic growth by creating value through genuine novelty and creative destruction.
While Wealth and Poverty established George Gilder as a supply-side economics pioneer during the Reagan administration, Knowledge and Power moves beyond supply-side models to present information theory as capitalism's foundation. Wealth and Poverty focused on traditional supply-side arguments about tax policy and incentives. Knowledge and Power deepens this analysis by framing capitalism as an epistemic system where entrepreneurial knowledge battles government power. Both books champion free markets and criticize government intervention, but Knowledge and Power provides a more sophisticated theoretical framework.
Critics note that Knowledge and Power is a challenging, dense read that requires significant effort and patience from readers. Some reviewers find Gilder's application of information theory to economics unconventional and potentially overstated. The book's strong anti-government stance and portrayal of regulation as purely negative "noise" may oversimplify complex policy tradeoffs. Additionally, Gilder's almost Randian perspective on wealth creators versus government redistributors can come across as ideological rather than balanced. Despite these critiques, reviewers acknowledge the book's creative and penetrating examination of wealth creation.
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Economics has strangely attempted to eliminate surprise.
Information represents the difference between what we knew before and after transmission.
The fundamental flaw in economics is treating it as a system of markets without acknowledging the entrepreneurs who drive change.
The central failure of economics has been its inability to grasp the centrality of entrepreneurial creation.
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Создано выпускниками Колумбийского университета в Сан-Франциско
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In 1948, while unicycling through Bell Labs hallways, Claude Shannon quietly published what Bill Gates would later call "the Magna Carta of the Information Age." This unassuming paper, "Mathematical Theory of Communication," laid the groundwork for our entire digital world-yet most people have never heard Shannon's name. His revolutionary insight was deceptively simple: information isn't about order or predictability-it's fundamentally about surprise. This revelation doesn't just explain how your smartphone works; it offers the missing piece in our understanding of economics, innovation, and human creativity itself. What makes this insight so powerful? Consider how we typically think about information. We imagine it as organized data, neatly structured knowledge. Shannon turned this on its head. The more predictable something is, the less information it contains. A message stating "the sun will rise tomorrow" carries almost no information because everyone expects it. But "a meteor will strike Earth tomorrow" is information-rich because it's unexpected. This principle-that information equals surprise-isn't just a technical curiosity. It's the key to understanding why economies grow, why innovation happens, and why traditional economics has failed to explain the extraordinary explosion of human prosperity.
Economics has a blind spot the size of Silicon Valley. Since Adam Smith, the discipline has treated the economy as a machine finding natural equilibrium. The problem? Humans have free will and creativity - we aren't billiard balls following physical laws. This blindness affects both free-market economists and central planners. One believes markets naturally balance themselves, the other wants to impose balance through planning. Neither focuses on what actually drives prosperity: unpredictable innovation. No mathematical model could have predicted the iPhone or explained Tesla's disruption of the auto industry. The 2008 financial crisis highlighted this failure. Economic models couldn't account for how fear, greed, and social contagion drove housing prices to absurd heights before collapsing. The models assumed rational actors, but humans are storytellers, not calculators. Most striking is that economists still can't explain our prosperity. The 119-fold increase in economic output since 1800 remains largely attributed to an unexplained "residual factor" accounting for 80% of growth - not some minor detail, but the main story of human creativity economics has failed to capture.
Classical and Keynesian economics missed a fundamental element due to timing: information theory emerged after both frameworks were established, leaving them without mathematical tools to understand how surprise and uncertainty drive economic growth. Shannon quantified information mathematically-a coin toss yields one bit, a die throw 2.58 bits. By defining the bit, calculating entropy, and analyzing noise interference, he built our digital age's foundation. These principles apply directly to economics, where entrepreneurs encode business concepts into physical reality. The key insight: transmitting high-entropy products (innovations) requires a low-entropy channel (stable economic environment). Just as static disrupts calls, economic instability interferes with entrepreneurial signals. When governments manipulate interest rates or create policy uncertainty, they introduce noise that hampers market communication. Innovation requires both chaos and order-creative destruction must happen within predictable rules. Without stable property rights, reasonable regulations, and sound currency, even brilliant ideas struggle to materialize. This balance between creative disorder and institutional stability is what truly drives economic growth.
Economics has largely ignored entrepreneurs' crucial role. Despite predictions that institutions would dominate, venture-backed companies generated over 20% of America's GDP in 2010, with young companies creating virtually all new jobs. Entrepreneurship combines structure with randomness, like Shannon's information theory. True innovations can't be planned by governments or anticipated by customers - Henry Ford noted people would have asked for "faster horses." Breakthroughs arrive as high-entropy surprises from the supply side. Qualcomm exemplifies this. When they proposed digital wireless technology, experts claimed it "violated the laws of physics." Yet they became immensely valuable by understanding that digital wireless succeeds by controlling power, not maximizing it. This pattern recurs throughout history. From Edison to Musk, entrepreneurs create possibilities no one knew to request. They don't merely respond to demand - they create entirely new categories, extending markets through learning curves that reduce costs and expand possibilities.
A paradox troubles economic thinkers: if capitalism naturally produces optimal outcomes, why do we need rules and institutions? The Austrian school's "spontaneous order" concept contains an inherent contradiction - spontaneity implies high entropy and surprise, while order signifies low entropy and predictability. Information theory reveals that high-entropy creations require low-entropy carriers. Like digital information needs stable circuits, capitalism's creative dynamics depend on reliable foundations: property rights, contract enforcement, and monetary systems that require deliberate construction. Silicon Valley exemplifies this principle, functioning within patent law, venture capital regulations, and contract enforcement. Countries with weak property rights struggle with innovation despite market freedom. China's economic transformation required building institutional structures before entrepreneurship could flourish. The libertarian view that capitalism thrives in anarchy ignores historical evidence. Commercial law - from medieval lex mercatoria to modern corporate structures - required deliberate effort. English common law, Roman civil law, and American constitutional order emerged through centuries of conscious development, not spontaneous emergence.
In 1982, amid 20% interest rates, high inflation, and 10% unemployment, Bob Wilmers made a seemingly irrational choice: taking over a failing bank in declining Buffalo. While competitors chased profits through financial engineering, Wilmers followed a different principle: banking is fundamentally about knowledge, not just capital. Taking active ownership of M&T Bank, Wilmers focused on conservative lending based on intimate borrower knowledge. He built M&T into a powerhouse that grew 20% annually for a decade, attracted Warren Buffett's investment, and achieved 140 consecutive profitable quarters - even during the 2008 crisis. Similarly, John Allison transformed BB&T from a $4.5 billion statewide bank to a $152 billion institution, weathering the subprime crisis without losses by refusing risky products. These bankers understood that successful banking requires knowing customers, understanding communities, and maintaining discipline to decline poor risks. This integration of knowledge and capital represents the essence of successful capitalism - contrasting with major banks where 75% of revenues came from leveraged trading rather than lending.
At its heart, capitalism isn't about greed - it's about giving. Entrepreneurs forgo immediate consumption, invest in uncertain ventures, and create products and jobs before seeing returns. Profit emerges as the difference between an item's value to giver and recipient - an index of investment altruism. America's successful entrepreneurs exhibit discipline, hard work, and austerity. True greed seeks unearned wealth through government intervention. The wealthy have generally earned their money through contributions exceeding their incomes. Warren Buffett's lower tax rate reflects his superior investment knowledge. Entrepreneurial wealth comes from mastering "gritty details" others avoid. While the top 1% possess more net worth than the bottom 90% combined, this concentration may represent capital allocation to those who use it productively. Leading entrepreneurs remain "bound to the mast" of their enterprises, keeping wealth only by continuously reinvesting it - creating a cycle where resources flow toward those most capable of using them for others' benefit.