02

Wealth of Nations 2.0

The Four Horsemen and Economic Disruption

Introduction

When we present and discuss DNB Disruptive Opportunities' various investment strategies, a set of natural questions often emerge: What will the future look like? Will everyone become unemployed? Will there be chaos? Will we have universal basic income?

We don't have all the answers, but we have perspectives based on an analytical approach grounded in the consequences of technology. In this edition of "Disruptive Perspectives," we attempt to explain technology's impact on society, businesses, and individuals. We apply established concepts and theories to illuminate these changes. We also analyze various investment strategies to be positively exposed to these changes, without recommending anything other than learning and understanding.

Our goal, as always, is to share perspectives. We manage stocks, not truths, so hopefully you'll find yourself agreeing, disagreeing, and even frustrated. Neither this nor other perspective papers from us will form the basis for a Nobel Prize nomination in content, precision, or correct citations. We share perspectives, not academic articles.

Wealth of Nations 1.0

Adam Smith's Wealth of Nations from 1776 is considered a cornerstone of classical economics and forms the basis for much economic understanding. Smith's main principles can be summarized as follows:

Division of Labor

Smith argues that economic growth is driven by specialization, where workers focus on specific tasks to increase productivity. His famous example of the pin factory shows how dividing work into smaller tasks dramatically increases efficiency. The division of labor depends on market size – the larger the market, the more specialization.

The Invisible Hand

Individual actors seeking self-interest (profit) inadvertently contribute to society's welfare through market mechanisms. When producers offer goods and services at competitive prices, it benefits consumers and the economy as a whole.

Free Markets and Competition

Smith argues for minimal state interference (laissez-faire) to promote competition, which keeps prices low and quality high. Monopolies and restrictions hinder economic growth. Companies seek to form monopolies and therefore must be regulated.

Capital Accumulation

Economic growth requires investment in capital (machines, tools), which in turn increases productivity. Capital comes from savings, and Smith emphasizes the importance of reinvesting profits.

Labor as Source of Value

Smith sees labor as the primary source of economic value. The value of goods is measured by how much labor is required to produce them (an early version of the labor theory of value).

Economic Growth Through Trade

International trade expands the market, enables more specialization, and increases national wealth. Smith supports free trade to maximize economic gains.

These principles form the foundation of Smith's optimism about economic growth, where labor, market forces, and capital work together to create wealth. But what happens when physical and digital agents begin to replace human labor?

The Decoupling of Labor and Economic Growth

Adam Smith's theory has closely linked economic growth to wage labor – people work, produce goods and services, and this drives the economy. The decoupling of labor effort and wages means that economic growth can be achieved without being dependent on increased workforce or traditional forms of work. This happens through physical and digital agents.

Analogy 1: The Automatic Pin Factory

Smith's pin factory example shows how division of labor increases productivity through human specialization. In a modern context, we can imagine an "automatic pin factory" where robots and AI perform all tasks, from raw materials to finished product – without human labor. This increases productivity exponentially but removes the need for wage labor. The division of labor shifts from humans to machines, and value creation is decoupled from human effort.

Dark Factories

"Dark factories" or "lights-out factories" are fully automated production facilities that operate without human presence. "Dark" comes from the fact that these factories can run without lighting, since machines don't need light to function. They represent a cutting-edge form of automation where physical and digital agents (like robots and AI) handle all aspects of production. In China, companies like Xiaomi have implemented dark factories to produce smartphones, where robots handle the entire production line without human intervention. In early 2025, they opened a factory that produces 32 million mobile phones per year – raw materials in, digital and physical agents at work, and fully packaged mobile phones out.

Analogy 2: The Digital Invisible Hand

Smith's invisible hand describes how individual self-interest benefits society via the market. Digital agents, like algorithms in platform economies (e.g., Amazon or Uber), operate as a "digital invisible hand." They optimize prices, match supply and demand, and manage logistics without human intervention. But unlike Smith's vision, where workers also benefit from growth, this digital hand can concentrate wealth with technology owners while wage workers lose income sources.

New Concepts: Agent-Driven Value Creation & Capital Autonomy

Agent-Driven Value Creation

Smith believed that labor was the source of value. With physical and digital agents, we introduce the concept of "agent-driven value creation," where value is created by autonomous systems instead of human labor. For example, an AI that designs products or a robot that builds cars can generate enormous value without wage costs.

Capital Autonomy

Smith saw capital as a tool that increases labor productivity (e.g., machines in a factory). Today we can speak of "capital autonomy" where capital (in the form of AI and robots) operates independently of human labor. For example, self-driving trucks or AI-driven financial algorithms can generate profit without human control, reducing the need for wage labor.

The Four Horsemen Riding Toward the Labor Market

What if we're seeing the contours of a Wealth of Nations 2.0? If society faces a period of major changes where everything from social and societal contracts is broken and must be rewritten? Our analysis of these changes is linked to technological changes from digital agents, physical agents, self-driving units, and voice command control. The power of these four on Adam Smith's world is so great that we somewhat loosely call them the Four Horsemen from the Book of Revelation (6:1-8). We use them as metaphors to describe how these technologies disrupt human wage labor.

The Iron Triangle of Decoupling

Why now? We've analyzed and followed these technologies closely in recent years, and now and in the coming years, technologies are moving from long-term to short-term. Robots are leaving labs and pilot status and beginning to scale. Three forces converge:

  1. Technology Maturity: These technologies are now mature enough to scale.
  2. Demographic Structure: The demographic structure in Western countries creates enormous demand for productivity. Hardworking and tax-financed hands will retire in the coming decades and will demand helping hands. That equation doesn't add up without the four horsemen.
  3. Geopolitics: The battle to have the largest and strongest horsemen stands between China and the USA. Deregulation, financing, and talent steer enormous resources into these companies.
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The White Horseman: Digital Agents

Conquest

The white horseman, often interpreted as conquest or a triumphant force, carries a bow and crown, riding out to conquer. Digital agents (artificial intelligence, algorithms, and software) represent this horseman by conquering intellectual and creative domains previously reserved for humans.

These agents automate complex tasks like data analysis, design, text generation, and decision-making. For example, language models like GPT or ChatGPT can write reports, create art, or optimize supply chains without human effort. According to McKinsey, 30% of today's jobs could be automated by 2030, including roles in finance, law, and marketing.

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The Red Horseman: Physical Agents

War

The red horseman, associated with war and conflict, carries a sword and sows chaos. Physical agents (industrial robots, co-bots, humanoids) represent this horseman by waging "war" on manual and routine jobs, creating economic and social turmoil.

Robots automate production, warehouse work, and other physical tasks. For example, Amazon uses Kiva robots to move goods in warehouses, and Tesla for repetitive tasks in the car factory. According to the International Federation of Robotics, there were 3.5 million industrial robots globally in 2022, and the number is growing rapidly.

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The Black Horseman: Self-Driving

Famine

The black horseman, linked to famine, symbolizes scarcity and economic distress. Self-driving transport (trucks, cars, drones) represents this horseman by creating "scarcity" of jobs in the transport sector and related industries.

Self-driving cars, trucks, and drones replace drivers and couriers. Waymo and Tesla are developing self-driving technology (though in different ways), while Amazon tests drones for delivery. In the US, the transport sector employs over 7 million people (in 2023), including truck drivers and taxi drivers. Oxford University estimates that 47% of American jobs, including transport, are vulnerable to automation.

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The Pale Horseman: Voice Commands

Death

The pale horseman, representing death, brings total cessation. Voice commands (speech-based interfaces like Alexa, Siri, or advanced AI assistants) symbolize this horseman by "killing" traditional work interfaces like keyboards, screens, and manual processes, changing how humans interact with technology.

Voice-based interfaces let users control complex systems with natural language, reducing the need for specialized operators. For example, an AI assistant like GPT can handle orders, planning, or technical support via speech. According to Gartner, 50% of digital interactions will be voice-based by 2025.

Combined Effect: The Decoupling of Work and Economic Value

The four horsemen – digital agents, physical agents, self-driving transport, and voice commands – are changing the labor market in ways that challenge Adam Smith's economic framework:

  • Division of Labor: Smith saw specialization as the key to increased productivity, but agents are taking over specialized tasks and eliminating human labor.
  • The Invisible Hand: The market continues to create wealth, but the benefits concentrate with technology owners, not workers, weakening Smith's vision of broad prosperity.
  • Labor's Value: Smith's labor theory of value becomes irrelevant when agents generate value without wage costs, leading to a "value crisis."
  • Capital Accumulation: Capital in the form of AI and robots drives growth, but without need for labor, creating "capital autonomy."

Post-Work Growth

To capture this new dynamic, we introduce the concept of "post-work growth," where economic growth is driven by agents, not human labor. This shifts focus from wages to alternative forms of income (like UBI or profit-sharing) and from productivity to distribution questions.

Our starting point is that machines have replaced muscles and feet before. Our concern in this context is that with both physical and digital agents, the ENTIRE economy will be exposed to "labor substitution." This means the change happens faster and is more comprehensive.

Wealth of Nations 2.0 Summary

Adam Smith's Wealth of Nations emphasizes division of labor, the invisible hand, free markets, capital accumulation, and labor as sources of economic growth. Physical and digital agents disrupt by taking over work tasks, increasing productivity but decoupling economic growth from wage labor.

Potential in This Model

  • Automation can drive economic growth without proportional increase in work hours
  • If people work less, it can free time for creativity, learning, and personal development
  • Decoupling can reduce environmental pressure through efficiency and resource-saving technologies
  • Universal basic income or similar schemes can distribute wealth more evenly

Challenges

  • If economic growth is driven by technology owned by few companies or individuals, wealth may concentrate further
  • Automation can lead to unemployment in sectors like industry, transport, and customer service
  • Wage labor provides not just income but also identity and structure
  • If fewer pay taxes through wage labor, states must find new ways to finance welfare systems

Using analogies like the automatic pin factory, the digital invisible hand, and the self-driven economy, along with new concepts like agent-driven value creation, capital autonomy, and post-work growth, we can explain this decoupling. Smith's framework still explains growth mechanisms, but his assumption of labor as source of value and broad wealth distribution is challenged. An agent-driven economy requires new economic and political solutions to ensure that growth benefits all of society, in line with Smith's original vision of shared prosperity.

Disruption of the Formula for Economic Growth?

Economics is based on scarcity. Without scarcity, economics would barely exist. A human uses anywhere from 16 to 30 years to become productive and has biological limitations on how long they can work and for how many years. Digital and physical agents need an update and are productive the moment they leave the server or factory. For the first time, human feet, hands, and cognitive processes will no longer be a limitation – labor goes from being a scarce resource to becoming an unlimited resource with unit prices (hourly rates) for work performed falling toward zero.

Abundance of goods and services, high economic growth, universal basic income, and cultivation of human empathy? Well, we like to compare this possibility with antiquity's welfare at the elite level. Human slaves ensured the abundance society for the elite. This time, everyone can participate in an abundance society where digital and physical agents are our slaves. The road there is long, difficult, and full of crossroads. And many of those discussions fall outside our analysis. Our analytical focus is investment strategies in this disruptive world. Because enormous fortunes will change hands in this transformation. We believe.

The Agent Economy: What Is It Really? Is It New?

Let's return to the transformative technologies themselves. Agents. What are they? The agent economy refers to economic activities where third-party actors (agents) act on behalf of other parties (principals) to perform tasks, make decisions, or facilitate transactions. In the context of Adam Smith's Wealth of Nations and modern economics, we can categorize agents into four generic groups:

Intermediary Agents (Middlemen)

Examples include brokers (stock brokers, real estate agents), trading agents, and platforms (like Amazon, Uber). They reduce transaction costs by connecting buyers and sellers. They facilitate information flow and streamline markets. Smith emphasized market efficiency, and intermediary agents contribute to this by reducing friction in trade.

Representation Agents

Can be lawyers, financial advisors, or corporate managers acting on behalf of shareholders. They act on behalf of principals in situations requiring specialized knowledge or authority. These agents enable division of labor, a core concept for Smith, by allowing individuals to delegate complex tasks to experts, increasing productivity.

Public Agents

State bureaucrats, central banks, regulatory bodies. They act on behalf of society to maintain legal systems, economic stability, and public goods. Smith saw a limited but necessary role for the state (e.g., defense, justice). Public agents are critical for creating the framework that free markets need to function.

Technological Agents

Algorithms, AI systems (e.g., pricing algorithms in e-commerce), automated trading systems. They perform economic functions quickly and precisely, often as an extension of human agents. In a modern context, technological agents expand Smith's principles of efficiency by scaling division of labor and reducing human error, but they also raise new questions about regulation and ethics.

Significance of the Agent Economy

  1. Increased efficiency through division of labor: Agents enable specialization, which Smith considered a main driver of prosperity.
  2. Reduction of transaction costs: Agents solve information asymmetry and coordination problems.
  3. Promotes trust in markets: Agents build trust between parties who don't know each other.
  4. Challenges - The Agent-Principal Problem: A central issue is that agents don't always act in the principal's best interest.
  5. Scalability in modern economies: In today's digital economy, the agent economy has exploded with platforms and automation.
  6. Globalization and free trade: Agents enable global trade, which Smith defended in his critique of mercantilism.

The Historical Development of Agents

We've discussed physical and digital agents with our "wealthy" and "family office investors" for a while already. Sometimes it helps understanding to take a long historical step back. Agents are not new – what's new is that physical and digital agents are replacing human agents.

Sumerian Cities (ca. 4000-2000 BC)

Sumer, located in southern Mesopotamia, is considered one of the world's earliest civilizations, with cities like Uruk and Ur. The economy was based on agriculture, trade, and early bureaucracy. Trade agents (tamkarum) and temple administrators functioned as intermediaries in trade and resource distribution. The writing system enabled contracts and accounting, strengthening the agents' role. These agents supported division of labor by specializing in trade and administration.

Antiquity and the Middle Ages (500 BC-1500 AD)

In ancient civilizations like Greece, Rome, and later in medieval Europe, agents developed into more complex roles. Merchants, bankers (e.g., the Medici family), and negotiation agents coordinated international trade and finance. Trade agents on the Silk Road, maritime brokers in Mediterranean trade, and church administrators who managed economic resources.

The Industrial Revolution (ca. 1750-1900)

Industrialization introduced machines and factory systems, reinforcing division of labor. Agents became more institutionalized with the emergence of modern banks, insurance companies, and stock brokers. Factory foremen, financial brokers, and logistics agents (e.g., railway companies) coordinated production and distribution. Agents supported Smith's idea of market efficiency by scaling production and trade.

The Digital Era (ca. 1980-present)

Digitalization revolutionized the agent economy with algorithms and online platforms. Agents became automated, and information flow accelerated. E-commerce platforms (Amazon), algorithmic trading agents, and digital brokers (e.g., PayPal) dominate modern economies. Digital agents reinforce Smith's principles of division of labor and free markets by minimizing transaction costs and maximizing efficiency.

Physical Humanoid Agents (2000s-present)

Advances in robotics and AI have given birth to physical humanoid agents, such as 1X's NEO (from Norway) and Tesla's Optimus. These are designed to perform physical and cognitive tasks in homes, factories, and the service sector. NEO is a humanoid robot for household and industrial tasks, while Optimus aims to automate repetitive tasks in production and logistics. These agents represent a new form of division of labor, where machines take over human tasks.

Social Contract and Societal Contract: New Meaning

The decoupling of economic growth from wage labor challenges traditional notions of the social contract (the individual's relationship to society) and the societal contract (the state's role in ensuring welfare). Traditionally, as in Smith's ideas, labor was a central part of the social contract: individuals contributed to society through work and received wages and welfare in return. With a reduced labor market, these concepts take on new meaning:

Social Contract

Previously: Work provided economic security and social status, and strengthened the bond between individual and society.

New meaning: When agents take over jobs, work's role weakens as a source of income and identity. This requires new ways to ensure economic participation, like universal basic income or retraining, to maintain the individual's contribution to and benefit from society.

Challenges: Inequality, reduced social mobility, and the need to redefine "value" in an economy where work is no longer the main contribution.

Societal Contract

Previously: The state ensured framework conditions for work and economic growth, while citizens contributed through taxes and labor.

New meaning: With fewer jobs, the state must redistribute wealth from automation-driven growth (e.g., via taxes on technology or capital) to finance welfare, like universal income or public services. This challenges Smith's free-market ideals, as the state's role grows.

Challenges: Balancing economic efficiency with social justice and ensuring that automation's benefits are shared broadly.

Political Philosophy Context

These are central concepts in political philosophy that explain the relationship between individuals, society, and the state. The concepts have roots in thinkers like Thomas Hobbes, John Locke, Jean-Jacques Rousseau, and to some extent, Adam Smith's economic perspectives:

  • Locke: The social contract is based on consent and protection of property rights.
  • Rousseau: Emphasizes collective will ("the general will").
  • Hobbes: Sees the state as a strong authority to avoid chaos.
  • Smith: His idea of the "invisible hand" and free markets supports a social contract where individuals contribute to society through work and economic activity.

Universal Basic Income - An Inevitable Consequence?

Universal Basic Income (UBI) is an economic system where all citizens in a society regularly receive an unconditional sum of money from the state, regardless of income, work, or other conditions. The goal is to ensure economic security, reduce poverty, and give individuals freedom to pursue activities such as work, entrepreneurship, or non-economic contributions like care or volunteering. UBI has gained renewed relevance in light of automation by digital and physical agents, which naturally reduces the need for human wage labor.

Key Principles of UBI

  • Unconditional: No requirements for work or income
  • Universal: Applies to all citizens regardless of status
  • Regular: Paid regularly (e.g., monthly)

The goal is to ensure economic stability, promote freedom, and support societal participation in an automated economy.

Financing UBI

  • Introduce taxes on value creation from digital and physical agents (automation tax)
  • Increase taxes on capital income from technology companies
  • Introduce targeted fees like VAT on automated services
  • Replace complex welfare systems with UBI to reduce bureaucracy and administrative costs
  • Public investments in infrastructure that supports agents

Expected Benefits

  • Economic growth maintained by letting agents drive productivity
  • UBI reduces inequality and social unrest, strengthening the societal contract
  • Individuals get freedom to pursue entrepreneurship or creative activities
  • More time for empathy, spiritual and family activities
  • Can generate new economic value through innovation

Implementation Challenges

  • Financing requires precise balance to avoid hampering innovation
  • Risk that UBI reduces incentives to work in sectors where humans are still needed
  • Political resistance to taxes on technology or capital
  • Wage labor provides not just income but also identity and structure - without work, many may experience loss of meaning
  • Need for new forms of social engagement beyond traditional work

Best and Worst Regulatory Actions

✓ Best Actions

  • Automation tax with innovation incentives
  • Investment in complementary infrastructure
  • Retraining and flexible regulation
  • Start with regional or targeted UBI programs
  • Gradual implementation based on automation revenue

✗ Worst Actions

  • Excessive taxation of technology
  • Bans or strict quotas on agents
  • Complex or inefficient welfare systems
  • High, arbitrary taxes without innovation incentives
  • Legislation that limits AI or robot use

Investment Strategies Around Digital Agents

Digital agents, such as autonomous AI systems, algorithms, and software that make decisions or take actions on behalf of users, are a central driver of economic growth in 2025. These agents are transforming sectors like finance, healthcare, logistics, and consumer services by automating complex tasks. In light of Adam Smith's principles of division of labor and market efficiency, digital agents represent a new form of specialization that increases productivity.

Core Technologies

  • AI and machine learning for autonomous decision-making
  • Natural Language Processing (NLP) for human interaction
  • Robotic Process Automation (RPA) for business processes
  • Blockchain and smart contracts for decentralized agents
  • Edge computing and IoT for real-time operations

Key Companies

  • NVIDIA (NVDA): Leader in semiconductors
  • Microsoft (MSFT): AI agents in Azure and Copilot
  • Palantir (PLTR): AI-driven data analysis
  • Amazon (AMZN): Cloud-based AI (AWS)
  • UiPath (PATH): Leader in RPA
  • Alphabet (GOOGL): AI through Google Cloud
  • Block (SQ): Blockchain and DeFi agents
  • CrowdStrike (CRWD): Cybersecurity for agents

Use Cases

Work Life

  • AI agents in meetings: planning, suggesting changes
  • Data analysis and decision support
  • Predictive models for financial markets

Daily Use

  • Personal assistants managing schedules
  • Customer service via AI chatbots
  • Product comparison and purchasing

Investment Strategies Around Physical Agents

Physical agents, such as industrial robots, humanoid robots, and autonomous machines, are transforming sectors like manufacturing, logistics, healthcare, and consumer services by automating physical tasks. In 2025, these agents are central to productivity growth, driven by advances in robotics, AI, and sensors.

Core Technologies

  • Robotics and automation for mechanical foundation
  • AI and machine learning for autonomous decision-making
  • Sensors and IoT for environmental perception
  • 3D printing and material technology
  • Electric grid and battery technology

Key Companies

  • Tesla (TSLA): Humanoid robots (Optimus)
  • Intuitive Surgical (ISRG): Surgical robots
  • Fanuc (FANUY): Industrial robots
  • ABB (ABBNY): Automation systems
  • Teradyne (TER): Collaborative robots
  • Deere & Company (DE): Agricultural robots
  • Zebra Technologies (ZBRA): Warehouse automation

Use Cases

Manufacturing

  • Assembly robots
  • Quality control
  • Collaborative robots (cobots)

Healthcare

  • Surgical robots
  • Elder care humanoids
  • Rehabilitation robots

Logistics

  • Warehouse robots
  • Delivery robots
  • Last-mile logistics

Self-Driving from an Investment Perspective

Self-driving units, such as autonomous cars, trucks, drones, and maritime systems, are disrupting sectors like transport, logistics, agriculture, and defense by automating mobility. Today, these units are driven by advances in AI, sensors, and enabling technologies like 5G. This plays a central role in increasing productivity and reducing human labor.

Tesla's Full Self-Driving Approach

Tesla's FSD is like an observant driver using eyes (cameras) and a powerful brain (HW4 chip) to navigate the road. Instead of relying on rule-based systems like LIDAR or radar, which Waymo uses, Tesla uses only "vision" and neural networks to perceive the world, make decisions, and react in real-time – much like a tennis player automatically hitting a forehand after much training.

Tesla's new production process, "Unboxed," where large cast parts are assembled by robotified and automated machines. No humans building the car, and the "human-unfriendly" assembly line could be disrupted. According to Tesla, a CyberCab will roll out every 5th second from factories sometime in 2026/27. The world record today is held by BYD and Tesla at about 35 seconds per car.

Core Technologies

  • AI and machine learning for autonomous navigation
  • Sensors: LIDAR, radar, and cameras
  • 5G and V2X (vehicle-to-everything) connectivity
  • High-resolution maps and precise geopositioning
  • Neural networks for decision-making
  • Edge computing for local data processing

Key Companies

  • Tesla (TSLA): Leader in FSD and robotaxi
  • NVIDIA (NVDA): AI chips (Drive AGX)
  • Aptiv (APTV): Level 2-3 autonomy systems
  • Luminar (LAZR): LIDAR sensors
  • Aurora (AUR): Self-driving trucks
  • Qualcomm (QCOM): 5G and V2X connectivity

Investment Strategies Around Voice Commands

Voice commands (speech-based interfaces), AR glasses (wearable devices that blend digital information into the physical world), and metaverse ecosystems (virtual worlds) are central technologies in 2025. They create change in sectors like entertainment, work, commerce, and social interaction by creating seamless, realistic experiences. These technologies often overlap, for example, AR glasses use voice commands for interaction in metaverse environments.

Voice commands democratize technology access but eliminate jobs that require human interaction. This accelerates the automation of "middleman roles," like middle managers or assistants, and reinforces the decoupling between work and value. Voice commands streamline market transactions, in line with Smith's emphasis on free markets. But they challenge his idea of work as a source of value, as voice-based AI systems create value without human labor.

Investment Matrix Analysis

We provide no advice on stocks, but gladly share various methods for analyzing and understanding stocks. Here's how to think about investing in companies developing these four horsemen technologies:

Maturity vs. Disruptive Force

AI Leaders (High/High)

NVIDIA, Microsoft, Alphabet - Core bets for short and long term

RPA & Support (High/Low)

UiPath, CrowdStrike - Stability and diversification

Autonomous Agents (Low/High)

Palantir, Block - Long-term with limited exposure

Risk vs. Growth Potential

Established Giants (Low/High)

Tesla, Intuitive Surgical - Core investments

Disruptive Pioneers (High/High)

Aurora, Teradyne - 10-15% portfolio allocation

Support Sectors (Low/Low)

Fanuc, ABB - Stable returns, diversification

Conclusion: The New Economic Paradigm

We stand at the threshold of Wealth of Nations 2.0, where the fundamental relationship between labor and economic value is being rewritten. The Four Horsemen – digital agents, physical agents, self-driving units, and voice interfaces – are not just technological innovations; they represent a fundamental disruption of the economic principles that have governed prosperity since Adam Smith.

Key Takeaways

  • Economic growth will continue, but increasingly decoupled from human labor as agents take over production
  • New social contracts are needed to ensure broad participation in automated prosperity through mechanisms like UBI
  • Investment opportunities abound in companies developing and deploying these agents, but require careful portfolio balancing
  • The transition period creates uncertainty but also unprecedented opportunities for those who understand the forces at play

By using the Four Horsemen from Revelation as metaphors, we see how digital agents, physical agents, self-driving transport, and voice commands disrupt human wage labor. Each horseman represents a technological force that increases productivity but decouples work from economic value, challenging Adam Smith's principles of division of labor, the invisible hand, and labor as a source of value.

This creates a new economic landscape where solutions like universal basic income, retraining, or new forms of societal engagement are needed to address the consequences. Like the biblical horsemen, these technologies herald both the destruction of old structures and the possibility for a new beginning.

Apokonomic Transformation

A new term that can summarize the effect of the four horsemen on decoupling is:Apokonomic Transformation – composed of apocalyptic + economic. This change challenges Smith's principles by replacing labor with autonomous agents as value creators, creating a "value crisis" and increased inequality. At the same time, it opens for a new economic era where solutions like UBI, retraining, and new societal structures can ensure prosperity for all.

The transition to this new paradigm won't be smooth or equitable without deliberate policy choices. But understanding these forces – and positioning accordingly – is essential for navigating the profound economic transformation ahead. The future belongs to those who can adapt to a world where machines do the work, and humans must find new ways to create and capture value. Enormous fortunes will change hands in this transformation. We believe.

This perspective has been translated from Norwegian to English

Download Original (Norwegian)