The MOSAIC Economic Strategy for the Age of Artificial Intelligence and Robotics
Derek Hill, CPA │ Derek Hill Advisory Group Inc. │ January 2026
Abstract
The rapid advancement of artificial intelligence and robotics represents what may be the most significant technological transformation in human history. Unlike previous industrial revolutions that primarily affected manual labor, current AI systems are demonstrating capabilities that extend into cognitive domains once thought to be exclusively human: analysis, diagnosis, creative problem-solving, and complex decision-making. This paper examines the likelihood and potential consequences of a major socioeconomic disruption stemming from widespread employment displacement and presents the MOSAIC economic strategy as a framework for navigating this transition.
The MOSAIC approach represents a departure from ideologically rigid economic frameworks. Rather than advocating for pure market capitalism, comprehensive socialism, or any single organizing principle, it proposes that different sectors of the economy should operate under different ownership and governance models, chosen based on functional requirements rather than ideological commitment.
The central thesis advanced here is that AI-driven disruption makes economic pluralism, distributed power structures, and robust structural safeguards not merely desirable policy preferences, but essential requirements for social cohesion and long-term system performance. The paper concludes that societies face a critical choice: either develop adaptive institutional frameworks that can accommodate radical technological change while maintaining broad prosperity and democratic governance, or risk descent into oligarchic capture, social instability, and the erosion of the social contract that has underpinned modern civilization.
1. Introduction: The Approaching Storm
We stand at an inflection point in human history. The convergence of artificial intelligence, robotics, and automation technologies is poised to transform the fundamental relationship between human labor and economic production that has defined civilization for millennia. This transformation carries with it both extraordinary promise and profound peril. To understand what lies ahead and how societies might prepare, we must first appreciate the unprecedented nature of the changes now underway.
1.1 Why This Revolution Is Different
Industrial revolutions have occurred before, and humanity has survived them all. The mechanization of agriculture displaced millions of farm workers. The factory system transformed artisan craftspeople into industrial laborers. The information technology revolution automated countless clerical and administrative functions. In each case, while disruption was real and often painful, new forms of employment eventually emerged to absorb displaced workers. This historical pattern has led many observers to conclude that a similar adjustment will occur with AI and robotics.
This assumption may prove dangerously optimistic. The current technological transformation differs from its predecessors in three critical dimensions that merit careful examination.
First, the scope of automation has expanded beyond physical labor into cognitive work. Previous revolutions primarily affected tasks requiring physical strength, dexterity, or endurance. Human cognitive capabilities remained a reliable source of comparative advantage. Today’s AI systems can perform complex analysis, generate sophisticated written content, conduct medical diagnoses, manage financial portfolios, and execute legal research. When a large language model can pass bar examinations, medical licensing tests, and MBA finals, the assumption that education provides reliable insulation from technological displacement requires fundamental reconsideration.
Second, the speed of capability advancement is accelerating rather than plateauing. Moore’s Law described the steady doubling of computing power, but AI capabilities are now improving faster than underlying hardware. Algorithmic innovations, improvements in training methodologies, and the expanding availability of data are compounding to produce systems that regularly exceed expert predictions. Tasks that seemed five years away from automation are achieved in months.
Third, automation systems can now operate continuously with minimal human oversight. The emergence of “dark factories” in China and elsewhere—manufacturing facilities that operate around the clock with lights off because no human workers are present—illustrates a fundamental change in production economics. When capital can substitute for labor nearly completely, the economic calculus that has historically driven employment creation inverts. Productivity can grow indefinitely while labor demand shrinks, severing the traditional linkage between economic expansion and job creation.
1.2 The Structural Tension
These technological developments create a profound structural tension within market economies. The dominant economic model of the past two centuries has rested on a fundamental assumption: that most adults will exchange labor for wages, and those wages will fund consumption, which in turn drives production and creates more demand for labor. This virtuous cycle has powered unprecedented improvements in material living standards.
But what happens when this cycle breaks? If income depends primarily on labor, and labor demand falls substantially, how does the economic system sustain the consumption that drives production? How does it maintain social stability when large portions of the population cannot find meaningful work? How does it preserve democratic governance when economic power concentrates in the hands of those who own the machines and algorithms?
Traditional economic ideologies provide incomplete answers to these questions. Pure market capitalism assumes labor markets will clear if wages fall sufficiently, but this ignores the social consequences of widespread poverty and the demand-side effects of collapsing consumer purchasing power. Socialist alternatives face challenges related to innovation incentives and computational complexity. Neither framework was designed for a world where human labor may become genuinely optional for most economic production.
This opens space for a different approach: a MOSAIC economic model that draws selectively from multiple traditions while remaining dogmatically committed to none.
2. Understanding the MOSAIC Strategy
The MOSAIC Model was created by Daniel Schreiber—co-founder and CEO of Lemonade (the AI insurance company) and Founder/Chairman of the MOSAIC AI Policy Institute, an Israeli nonprofit he established in July 2024 dedicated to ensuring AI benefits Israeli society broadly. Peter Diamandis then co-published a piece on his Metatrends Substack (approximately late January 2026), written in collaboration with Schreiber, that presents the MOSAIC Model as a concrete framework for Universal High Income, funded by AI abundance.
2.1 The Metaphor and Its Meaning
A mosaic is an artwork composed of many small, distinct pieces—tiles of different colors, shapes, and materials—arranged to create a coherent larger image. Each tile retains its individual character, yet contributes to a pattern that transcends any single component. The beauty and meaning emerge from the arrangement of diverse elements, not from uniformity.
A MOSAIC economy applies this metaphor to economic organization. Rather than insisting that all economic activity conform to a single organizational logic—whether market competition, state ownership, cooperative enterprise, or any other model—a MOSAIC approach treats the economy as a patchwork of different “tiles,” each with a governance structure chosen to suit its particular social function.
This represents a fundamental departure from the ideological debates that have dominated economic policy for the past century. The MOSAIC framework does not ask “Should we have capitalism or socialism?” but rather “What combination of organizational forms will best serve human flourishing in each domain of economic activity?”
2.2 Core Principles
Functional Fit Over Ideology: Economic structures should be chosen based on how well they serve the social purposes of each sector, not based on conformity to an overarching ideological commitment.
Sectoral Differentiation: Different parts of the economy have fundamentally different characteristics and social functions. Healthcare delivery is not the same as smartphone manufacturing, which is not the same as neighborhood bakeries, which is not the same as electrical grid operation.
Institutional Pluralism: Multiple ownership and governance models should coexist within the same economy—private corporations, public enterprises, cooperatives, nonprofits, community organizations, and hybrid forms.
Dynamic Balance: No single economic logic should dominate the entire system. When one organizing principle extends its reach across all domains, pathologies develop.
2.3 Sectoral Applications in an AI Era
How might these principles apply to specific sectors in an economy transformed by AI and robotics? The following table offers illustrative guidance, not rigid prescription:
AI Infrastructure & Data
Model: Public or Heavily Regulated
Rationale: Network effects, natural monopoly characteristics, and democratic accountability concerns favour public oversight of foundational AI systems
Healthcare
Model: Public / Nonprofit
Rationale: Universal access requirements, information asymmetries, and life-and-death stakes argue against pure profit maximization
Basic Utilities
Model: Public or Cooperative
Rationale: Natural monopoly economics and essential service status justify non-market governance
Consumer Goods Innovation
Model: Competitive Markets
Rationale: Consumer choice, rapid innovation cycles, and diverse preferences favour market competition
Housing
Model: Mixed: Private + Cooperative + Social
Rationale: Diverse needs and wealth levels require multiple approaches operating simultaneously
Local Services
Model: Community / Cooperative Models
Rationale: Place-based relationships and community integration favour local control
The key insight is that some sectors should prioritize profit and innovation (where these drive beneficial outcomes), while others must prioritize access, stability, and equity (especially when employment is no longer the primary mechanism for distributing economic benefits).
2.4 The MOSAIC Funding Framework
Peter Diamandis has elaborated on the MOSAIC concept as a funding mechanism for universal basic income or similar distribution systems. The MOSAIC acronym describes multiple revenue sources that could collectively fund broad-based income support:
M — Multi-channel Mechanism: The core philosophy that no single tax or revenue source can adequately fund universal income support alone. Instead, a “mosaic” of multiple funding bases is required, each contributing according to its capacity.
O — Over-trend Ring-fencing: Earmarking a substantial portion (perhaps 85%) of “windfall” capital-income tax receipts—profits and capital gains that exceed historical trend levels—for the income support fund.
S — Savings from Government Automation (Government Automation Dividend): As AI automates government administrative functions, the resulting cost savings can be redirected to citizen support rather than simply reducing budgets.
A — AI-linked Deflation Capture (Dynamic VAT): As AI drives production costs and prices downward, a value-added tax rate can adjust upward to capture the “deflation gap,” keeping consumer prices stable while generating revenue.
I — Income Support Distribution (Negative Income Tax): The distribution mechanism itself, structured to ensure that work always pays more than not working, preserving incentives for those who can and wish to contribute labor.
C — Consolidation: Rolling existing, overlapping welfare transfers into the new unified payment, avoiding double-spending and simplifying the administrative apparatus.
3. Why AI Makes MOSAIC Necessary
3.1 The Concentration Problem
Artificial intelligence differs from previous technologies in a crucial respect: it tends to concentrate economic power rather than distribute it. While the automobile industry created millions of jobs across manufacturing, sales, service, and related sectors, AI tends to create a small number of extraordinary winners while displacing large numbers of workers.
This concentration occurs along three dimensions:
Capital Owners: Those who own the machines, data centers, and algorithms capture an increasing share of economic output. When a single AI system can replace thousands of workers, the surplus that previously supported thousands of incomes flows instead to a handful of owners.
Data Controllers: AI systems improve through access to data. Organizations with the most data can train the best systems, which attract more users, which generates more data. This creates powerful winner-take-all dynamics that favor early movers and large incumbents.
Platform Operators: AI-powered platforms can coordinate economic activity across vast scales with minimal marginal cost. A single platform can intermediate transactions that previously required thousands of local businesses.
3.2 Systemic Risks Without Structural Balance
Without deliberate structural counterbalancing, these concentration tendencies produce cascading systemic risks:
Labour Displacement
Mechanism: AI substitutes for human workers across both manual and cognitive domains
System Outcome: Income inequality rises sharply as wages decline while capital returns soar
Productivity-Wage Decoupling
Mechanism: Output per unit of capital increases while demand for labour falls
System Outcome: Aggregate demand weakens as consumer purchasing power erodes
Capital Concentration
Mechanism: Returns to AI ownership exceed returns to labour, accelerating wealth accumulation at the top
System Outcome: Political influence concentrates, enabling regulatory capture and policy distortion
Social Instability
Mechanism: Rising inequality, declining opportunity, and visible wealth disparities undermine social cohesion
System Outcome: Institutional trust erodes, democratic legitimacy falters, extremism rises
A uniform market logic—where every sector must maximize returns to investors regardless of social consequences—amplifies these effects. Markets excel at innovation and efficiency in many domains, but when market logic extends to sectors where its application undermines social stability, the entire system becomes vulnerable.
3.3 The MOSAIC Response
The MOSAIC approach addresses these risks by introducing non-market stabilizers precisely where markets become destabilizing. Healthcare operated as a profit-maximizing enterprise produces outcomes that undermine social cohesion—excluding the sick, prioritizing lucrative treatments over effective ones. Housing treated purely as an investment vehicle produces speculation, volatility, and displacement that destabilize communities.
In each case, the MOSAIC approach asks: what organizational form will produce the best outcomes for the people this sector serves? Sometimes the answer is competitive markets. Sometimes it is public provision. Sometimes it is cooperative enterprise. The MOSAIC framework provides no universal answer, but it does provide a method: evaluate organizational forms based on outcomes, not ideology.
4. Political Systems and MOSAIC Compatibility
4.1 Requirements for MOSAIC Implementation
A MOSAIC economic strategy cannot be implemented under just any political system. It requires specific institutional characteristics:
Policy Flexibility: The ability to adopt different approaches for different sectors, adjusting as circumstances change and as evidence accumulates about what works.
Multiple Ownership Forms: Legal frameworks that permit and protect diverse organizational structures—private corporations, public enterprises, cooperatives, nonprofits, community trusts, and hybrid forms.
Decentralized Decision-Making: Many MOSAIC decisions are best made at local or sectoral levels rather than by central authorities.
Institutional Checks on Power: Mechanisms to prevent any single interest—whether governmental, corporate, or individual—from dominating the entire system.
4.2 Why Pluralistic Democracies Fit Best
Democratic systems, particularly those with strong pluralistic traditions, best satisfy these requirements. They can maintain competitive markets where innovation matters while preserving public control where social function dominates. They possess legal mechanisms to prevent excessive concentration. They allow for policy experimentation and learning.
Social democracies—particularly the Nordic model—demonstrate that substantial economic pluralism is practically achievable. These societies maintain vigorous private sectors alongside robust public services, significant cooperative enterprises, and strong nonprofit sectors. They have proven capable of adaptation over time, adjusting the mix of organizational forms as circumstances change while maintaining social cohesion and democratic governance.
4.3 Why Authoritarian and Rigid Ideological Systems Struggle
Systems at the extremes of the political spectrum encounter systematic difficulties with MOSAIC implementation:
Orthodox Communism
Core Limitation: Ideological commitment to uniform public ownership
MOSAIC Incompatibility: Cannot accommodate private enterprise tiles even where markets would perform better
Centralized Socialism
Core Limitation: Administrative concentration restricts diversity
MOSAIC Incompatibility: Cannot permit the decentralized decision-making MOSAIC requires
Authoritarian Capitalism
Core Limitation: Political control limits pluralism
MOSAIC Incompatibility: Cannot tolerate independent institutions that might check concentrated power
Libertarian Minimalism
Core Limitation: Ideological commitment to market solutions
MOSAIC Incompatibility: Cannot deploy public or cooperative alternatives even where markets fail
The common thread is that ideological rigidity—whether favoring state or market—undermines the flexibility that MOSAIC requires. Authoritarian governance—whether communist or capitalist—undermines the distributed power that prevents capture and distortion.
4.4 China as a Partial and Limited Example
China presents an interesting case study in economic diversity under political authoritarianism. The Chinese system combines substantial state ownership in strategic sectors with vibrant market activity in consumer goods and technology. In some respects, China demonstrates that sectoral differentiation is practically achievable.
However, China’s experience also illustrates the limitations of MOSAIC implementation without political pluralism. The absence of independent institutions means that the balance among different economic sectors depends entirely on the preferences and judgment of party leadership. There is no structural mechanism to prevent recentralization if leadership priorities shift.
For MOSAIC to function as intended—dynamically adjusting the mix of organizational forms based on evidence and experience—political pluralism appears necessary, not merely convenient.
5. The Threat of Wealth Concentration
5.1 How AI Accelerates Concentration
The ownership of productive capital has always conferred economic and political advantages. What AI changes is the rate and extent of concentration. When a single company can develop an AI system that performs work previously requiring thousands of employees, the economic surplus that would have been distributed across those workers’ wages flows instead to a small group of shareholders and executives. When that AI system can be replicated at near-zero marginal cost across the global economy, the concentration effect multiplies.
We are already observing this phenomenon. The market capitalization of leading technology companies has grown to rival the GDP of major nations. A small number of individuals have accumulated wealth measured in hundreds of billions of dollars. The gap between the highest and median incomes has widened dramatically. These trends will accelerate as AI capabilities expand.
5.2 From Economic to Political Power
Extreme wealth concentration does not remain purely economic. It converts inevitably into political influence through multiple channels:
Policy Capture: Concentrated wealth enables sustained lobbying, campaign contributions, and cultivation of political relationships that shape legislation and regulation in favor of asset holders.
Media Influence: Ownership or sponsorship of media organizations shapes public discourse. Issues unfavorable to concentrated wealth receive less attention; narratives that legitimate existing arrangements receive amplification.
Expert Capture: Funding of research institutions, think tanks, and academic positions influences the production of knowledge and policy recommendations.
Revolving Doors: Movement of personnel between government positions and private sector roles creates networks of shared interest and perspective that favor incumbent powers.
5.3 How Concentration Undermines MOSAIC
When wealth dominates political systems, the MOSAIC balance becomes impossible to maintain. Several specific mechanisms operate:
Policy Capture
Effect on MOSAIC: Rules systematically favour asset holders over workers, consumers, and communities
Outcome: Sectoral arrangements that would limit profits are blocked or dismantled
Financialization of Essentials
Effect on MOSAIC: Housing, healthcare, and infrastructure are treated as investment vehicles rather than social infrastructure
Outcome: Essential services optimize for investor returns rather than social function
Sector Homogenization
Effect on MOSAIC: Every sector is forced into profit-maximizing logic regardless of suitability
Outcome: Diversity of organizational forms collapses toward uniform corporate structure
Institutional Erosion
Effect on MOSAIC: Countervailing institutions—unions, regulators, public enterprises—are weakened or captured
Outcome: Checks on concentration lose effectiveness
The endpoint of unchecked concentration is not a MOSAIC economy but an oligarchy with decorative social programs—a system that maintains the forms of pluralism and democracy while concentrating effective power in a small wealthy elite.
6. Wealth-Centric Versus Function-Centric Systems
To understand what is at stake, it helps to contrast two fundamentally different orientations toward economic organization. These represent ideal types; actual systems fall along a spectrum between them.
6.1 The Wealth-Centric Model
In a wealth-centric system, the primary goal of economic organization is to maximize returns on capital. Success is measured by accumulation—the growth of assets, portfolios, and net worth. Decision authority flows to asset holders; those with more wealth have more influence over how resources are allocated.
This model has powerful virtues. It creates strong incentives for innovation, efficiency, and productive investment. It provides clear metrics for evaluating performance. But it also has systematic blind spots. It struggles to value outcomes that don’t generate financial returns—environmental quality, social cohesion, community stability, democratic participation. And when AI amplifies capital’s advantages over labor, these tendencies intensify.
6.2 The Function-Centric Model
In a function-centric system, the primary goal is to optimize societal performance across multiple dimensions—prosperity, resilience, wellbeing, sustainability, and democratic vitality. Decision authority flows to institutions designed to balance multiple interests and perspectives, not exclusively to those with the largest financial stakes.
This model has different virtues. It can incorporate values and outcomes that markets underweight. It can maintain balance and prevent destabilizing concentration. But it can also become bureaucratic and unresponsive. Without market discipline, it may misallocate resources.
6.3 Comparative Summary
Primary Goal
Wealth-Centric: Maximize return on capital
Function-Centric: Optimize societal performance
Success Metric
Wealth-Centric: Wealth accumulation
Function-Centric: Resilience and wellbeing
Decision Authority
Wealth-Centric: Asset holders
Function-Centric: Balanced institutions
Strengths
Wealth-Centric: Innovation incentives, efficiency, clear metrics
Function-Centric: Balance, inclusion, long-term thinking
Weaknesses
Wealth-Centric: Concentration, short-termism, blind spots
Function-Centric: Bureaucracy, innovation challenges
The MOSAIC approach does not reject either model wholesale. It recognizes that wealth-centric logic is appropriate for some sectors and functions while function-centric logic is appropriate for others. What AI changes is the balance of power between these logics. By dramatically amplifying returns to capital relative to labor, AI strengthens wealth-centric forces unless deliberately counterbalanced.
7. Institutional Counterweights
7.1 What Cannot Steer a MOSAIC System
A MOSAIC economic system cannot be effectively steered by concentrated power, whether in the form of individual billionaires or centralized state authority. Both alternatives undermine the balance and pluralism that define the approach.
Billionaire Steerage: When individual wealthy people attempt to shape economic systems according to their personal visions—however well-intentioned—they introduce arbitrary preferences, blind spots, and conflicts of interest. No individual possesses the knowledge or legitimacy to design a complex economy for hundreds of millions of people.
Autocratic Control: Centralized authoritarian governance can impose coordination but cannot generate the local knowledge, adaptive learning, and legitimate buy-in that effective economic management requires. Autocracies tend toward uniformity because diversity complicates control.
7.2 What Can Maintain MOSAIC Balance
Instead of concentrated power, a MOSAIC system requires distributed institutional counterweights. Key counterweights include:
Antitrust Enforcement: Vigorous competition policy prevents the accumulation of market power that distorts both economic outcomes and political processes.
Public Investment Banks: Financial institutions with public mandates can direct capital toward purposes that private finance underweights—infrastructure, research, regional development, and countercyclical investment.
Progressive Taxation: Tax systems that capture a larger share of extraordinary incomes and wealth accumulations prevent concentration from becoming self-reinforcing.
Independent Regulators: Agencies with genuine independence from both political and corporate pressure can maintain rules that serve broad interests rather than narrow ones.
Cooperative and Community Ownership: Frameworks that enable and support non-corporate forms of enterprise—worker cooperatives, community land trusts, mutual organizations, and nonprofit enterprises.
Democratic Legitimacy: Ultimately, the balance among different economic sectors and organizational forms must rest on broadly legitimate democratic processes.
7.3 The Ecological Metaphor
These institutional counterweights function like ecological regulators in a natural ecosystem. No single species should dominate to the point of collapsing the system. Predators control herbivore populations; decomposers recycle nutrients; diverse organisms occupy different niches.
Similarly, economic systems require checks that prevent any single logic or interest from overwhelming the whole. AI-driven capital concentration is like an invasive species—extraordinarily effective at capturing resources and reproducing itself, but potentially devastating to system balance if left unchecked. Institutional counterweights are the ecological regulators that maintain diversity and prevent monoculture.
8. The Ecosystem Analogy: Resilience Through Diversity
8.1 Diversity as Resilience
Healthy ecosystems are characterized by diversity—many species occupying different niches, using different strategies, responding differently to environmental changes. This diversity provides resilience. Monocultures, by contrast, are fragile; a single disease or environmental shift can devastate the entire system.
Economic systems exhibit similar dynamics. An economy dominated by a single organizational form—whether private corporations, state enterprises, or any other—is vulnerable to that form’s characteristic failures. A diverse economy, like a diverse ecosystem, can compensate for any single form’s weaknesses with others’ strengths.
8.2 Keystone Species and Institutions
Ecosystems often depend on “keystone species” whose influence on the system exceeds what their numbers alone would suggest. Wolves regulate deer populations, which affects forest regeneration, which shapes habitat for countless other species. Remove the keystone species, and cascade effects transform the entire ecosystem.
Economic systems have analogous keystone institutions. Central banks, competition authorities, public education systems, and social insurance programs shape the environment in which all other economic actors operate. Weakening these institutions, whether through budget cuts, political capture, or ideological hostility, can trigger cascading degradation throughout the economy.
8.3 Invasive Species and Unchecked Concentration
When an invasive species enters an ecosystem, it often lacks the natural predators and competitors that controlled it in its native range. Freed from these constraints, it can reproduce explosively, outcompeting native species and degrading habitat. Kudzu smothering southern forests, zebra mussels clogging Great Lakes waterways, and cane toads devastating Australian wildlife all illustrate this pattern.
AI-powered capital concentration exhibits traits of invasive species. Traditional constraints on capital accumulation—the need for human labor, the limitations of human management span, the friction of geographic distance—are being relaxed or eliminated. Without new regulatory mechanisms adapted to these new conditions, AI-driven concentration can spread through the economic ecosystem like kudzu through a forest, smothering the diversity that provides resilience.
9. Conclusion: AI as Catalyst for Structural Evolution
9.1 The Challenge Before Us
Artificial intelligence and robotics are not merely technological changes; they are structural stress tests for human civilization. They challenge assumptions about the relationship between work and income, about the sources of human dignity and purpose, and about the distribution of power in society.
A system based on uniform market logic risks catastrophic outcomes:
Extreme inequality as capital’s share of income rises while labor’s share collapses, concentrating wealth among those who own the machines while leaving the majority scrambling for diminishing opportunities.
Political capture as concentrated wealth converts into political power, shaping rules to favor further concentration in a self-reinforcing cycle that undermines democratic governance.
Social instability as large populations lose meaningful economic participation, traditional pathways to dignity and status close, and resentment toward visible inequality fuels extremism and conflict.
9.2 The MOSAIC Path
A MOSAIC economic strategy offers an alternative path. It does not reject markets or embrace comprehensive state control. It does not promise utopia or pretend that difficult tradeoffs can be avoided. What it offers is a framework for navigating complexity—a commitment to matching organizational forms to social functions, to maintaining institutional diversity, to preserving the balance that enables both dynamism and stability.
The core elements of this path include:
Sector-specific governance: Different organizational forms for different domains, chosen based on what produces good outcomes rather than ideological consistency.
Distributed power: Institutional counterweights that prevent any single interest—governmental, corporate, or individual—from dominating the system.
Institutional balance: Active maintenance of equilibrium among markets, public institutions, and community structures, adjusting as circumstances evolve.
Democratic legitimacy: Ultimate authority over economic arrangements resting with citizens through legitimate democratic processes, not with wealthy individuals or technocratic elites.
9.3 The Fundamental Question
The question facing societies is not whether markets, states, or communities should “win” the contest for economic organization. The fundamental question is rather: How do we design institutions that keep all three—markets, states, and communities—in productive equilibrium as technology transforms the foundations of work?
This question admits no simple answer. It requires ongoing experimentation, learning, and adaptation. It demands high-quality institutions staffed by capable people committed to the public interest. It necessitates political systems capable of making difficult decisions and resisting capture by concentrated interests.
The MOSAIC approach does not guarantee success. But it provides a framework for thinking clearly about the challenges ahead and a set of principles for navigating them. In an era of unprecedented technological change, that may be the most valuable contribution any economic framework can offer.
9.4 A Call to Action
The window for shaping how AI transforms society is open now, but it will not remain open indefinitely. Concentration is already accelerating. Institutional counterweights are already under pressure. The longer societies delay in developing adaptive frameworks, the harder it becomes to make course corrections.
Societies have navigated profound technological transitions before—the agricultural revolution, industrialization, electrification, and digitization. Each transformation seemed overwhelming to those living through it; each was eventually accommodated through institutional innovation and social adaptation. The AI transition will be no different in this respect.
What will differ is the stakes. Never before have technologies threatened to make human labor broadly optional. Never before has concentration been able to proceed so rapidly to such extreme levels. Never before has the potential for either abundance or catastrophe been so stark.
The choice is ours to make. The time to make it is now.
References and Further Reading
On technological unemployment and AI impacts: The work of Erik Brynjolfsson and Andrew McAfee, particularly The Second Machine Age and Machine, Platform, Crowd. Carl Benedikt Frey’s The Technology Trap provides historical context. Daron Acemoglu’s research on automation and labor markets offers rigorous economic analysis.
On economic pluralism and alternative ownership models: Mariana Mazzucato’s work on mission-oriented economics and the entrepreneurial state. Elinor Ostrom’s research on commons governance, recognized with a Nobel Prize in Economics. Gar Alperovitz’s writings on community wealth building and democratic ownership.
On wealth concentration and democracy: Thomas Piketty’s Capital in the Twenty-First Century and subsequent works. Martin Gilens and Benjamin Page’s research on political influence. Ganesh Sitaraman’s The Crisis of the Middle-Class Constitution.
On universal basic income and alternative distribution mechanisms: Philippe Van Parijs’s foundational work on basic income. Andrew Yang’s The War on Normal People. Annie Lowrey’s Give People Money.
On institutional design for the AI age: The AI governance work of the Future of Humanity Institute, Partnership on AI, and similar organizations. Policy proposals from the Brookings Institution, the Roosevelt Institute, and the Berggruen Institute.
The MOSAIC Model presented in this brief was initially created by Daniel Schreiber—co-founder and CEO of Lemonade (the AI insurance company) and Founder/Chairman of the MOSAIC AI Policy Institute, an Israeli nonprofit he established in July 2024. Peter Diamandis co-published a piece on his Metatrends Substack (approximately late January 2026), written in collaboration with Schreiber, presenting the MOSAIC Model as a concrete framework for Universal High Income funded by AI abundance.
Derek Hill Advisory Group Inc.
For more information on this topic, see Derek’s briefs “Where Have All the Patients Gone” and “When Your Patients Lose Their Jobs.” If you would like a Preparedness Assessment of your practice, reach out to Derek Hill at derek@derekhill.ca (Derek Hill Advisory Group Inc.). Check back for more detailed presentations on the AI Revolution, its impact on society, and current thought remedies to the disruption.