The Entrepreneurial Workforce: When Employment Is No Longer the Default

Artificial Intelligence, Labor Displacement, and the Transfer of Economic Risk from Organizations to Individuals

#ioMatterz Research 003 | October 2026

Author: Brandon J.T. McCray, Ph.D.
Discipline: Industrial & Organizational Psychology
Publisher: #ioMatterz Research & Insights
Publication type: Critical Narrative Synthesis and Conceptual Futures Analysis
Length: 6 pages

Abstract

Artificial intelligence could reduce employment demand in some occupations even as it transforms existing roles and creates new forms of work.

This research examines a consequential future scenario: workers who prefer traditional employment may increasingly be compelled to pursue independent contracting, platform-based work, and microenterprise because stable employment opportunities become less accessible.

Drawing on labor-market research, artificial intelligence occupational-exposure studies, entrepreneurship literature, and employer forecasts, the paper distinguishes observed trends from potential future developments.

It introduces the preliminary Employment-to-Enterprise Displacement Model (EEDM) to examine four interconnected dimensions: employment displacement exposure, entrepreneurial readiness, market absorption capacity, and individual economic resilience.

The research identifies a fundamental economic risk: although technology may make starting a business easier, it does not guarantee sufficient customers, sustainable income, or economic security.

What Happens When Companies No Longer Need as Many Employees?

For generations, conventional employment has provided the primary structure through which individuals exchange their skills and labor for economic security.

Organizations hire employees, assign responsibilities, provide compensation, and frequently facilitate access to benefits, professional development, and career advancement.

Artificial intelligence may fundamentally change this relationship.

As organizations integrate increasingly capable technologies, some may discover that fewer employees are required to produce the same—or greater—levels of output.

The implications extend beyond conventional concerns about technological unemployment.

What happens when individuals still need to work, but organizations no longer need to employ as many people?

One possibility is an economy in which entrepreneurship becomes less of a personal ambition and more of an economic necessity.

From Traditional Employment to Necessity Entrepreneurship

Entrepreneurship is frequently associated with independence, innovation, opportunity, and personal ambition.

However, not all entrepreneurship begins with opportunity.

Some individuals pursue self-employment because conventional employment opportunities are unavailable, unstable, or insufficient to meet their economic needs.

This distinction is central to understanding the potential future of work.

Opportunity-Based Entrepreneurship

Individuals voluntarily establish businesses because they identify attractive opportunities, seek greater independence, or believe they can create additional economic value.

Necessity-Driven Entrepreneurship

Individuals pursue independent economic activities because they lack satisfactory alternatives within conventional employment.

If AI-driven productivity reduces demand for human labor in particular occupations, necessity-driven entrepreneurship could become more prevalent among affected workers.

However, this remains a scenario requiring further empirical investigation—not an inevitable outcome of artificial intelligence adoption.

Four Central Research Findings

1. Exposure to Artificial Intelligence Does Not Automatically Mean Job Displacement

Research from the International Labour Organization identifies substantial occupational exposure to generative artificial intelligence.

However, exposure does not mean every affected job will disappear.

Many occupations are more likely to experience changes in tasks, workflows, and skill requirements than complete elimination.

The distinction between technological capability and actual employment displacement is essential when evaluating future labor-market scenarios.

2. Employment Risks Are Not Distributed Equally

Emerging research suggests that the employment consequences of AI may differ according to occupation, experience level, age, and the specific tasks being automated.

Stanford research has identified relative employment weakness among younger workers in AI-exposed occupations.

These findings warrant attention but do not establish widespread economy-wide employment collapse.

Future workforce research must examine which workers face the greatest displacement risks and whether alternative employment opportunities emerge quickly enough to absorb affected labor.

3. More Entrepreneurs Do Not Necessarily Mean More Sustainable Businesses

AI tools may reduce the cost of establishing and operating a small business.

Individuals can increasingly use technology for marketing, administration, customer communication, content development, and other business functions.

However, reducing the cost of entering a market is not equivalent to increasing demand within that market.

If large numbers of displaced professionals begin offering similar services, competition may intensify.

The central challenge becomes whether new entrepreneurs can obtain enough paying customers to sustain their livelihoods.

The ability to start a business does not guarantee the ability to survive through one.

4. Economic Risk May Shift from Employers to Individuals

Traditional employment arrangements often provide predictable compensation and access to organizational resources.

Independent workers may assume responsibility for customer acquisition, business expenses, income fluctuations, professional development, and personal benefits.

This transition could create new opportunities for autonomy while simultaneously exposing individuals to greater financial uncertainty.

From an industrial-organizational psychology perspective, these changes raise significant questions about occupational identity, psychological security, motivation, organizational belonging, and employee well-being.

Introducing the Employment-to-Enterprise Displacement Model

This research proposes a preliminary conceptual framework for examining how workers might transition from conventional employment into necessity-driven entrepreneurship.

The Employment-to-Enterprise Displacement Model (EEDM) considers four dimensions.

Employment Displacement Exposure

The extent to which workers face reduced demand for their current occupational capabilities because of automation, artificial intelligence, and organizational restructuring.

Entrepreneurial Readiness

An individual's ability to translate their knowledge, skills, resources, and experience into viable independent economic activities.

Market Absorption Capacity

The availability of sufficient paying customers and commercial opportunities to sustain additional independent businesses and service providers.

Individual Economic Resilience

The financial, psychological, and institutional resources that allow individuals to withstand income instability and adapt to changing employment conditions.

The EEDM is a proposed conceptual model. It has not been empirically validated and should not be presented as an established predictive instrument.

The Critical Contradiction: Who Will Buy the Services?

One of the most consequential questions involves the economic viability of widespread necessity entrepreneurship.

If organizations require fewer employees because AI can perform certain functions more efficiently, will those same organizations continue purchasing those services from independent contractors?

For example, a displaced professional might establish an independent consulting business offering services similar to those previously provided as an employee.

Yet if AI has already reduced organizational demand for those services, self-employment does not necessarily restore the underlying demand.

This creates the possibility of a labor market in which independent business formation increases without corresponding growth in sustainable economic opportunity.

The future of entrepreneurship therefore cannot be evaluated solely through business creation rates.

Researchers must also examine profitability, business survival, customer demand, income sufficiency, and long-term economic security.

What This Means for Organizations and Workers

Organizations considering AI-enabled workforce transformation should examine the human consequences of productivity-driven restructuring.

For employers, important considerations include workforce redeployment, skills development, responsible transition practices, and the potential consequences of replacing employment relationships with independent contracting arrangements.

For workers, entrepreneurial readiness requires more than the possession of marketable skills.

It also involves access to financial resources, identifiable customer demand, pricing capabilities, business development skills, and mechanisms for managing financial and occupational risk.

For educators and workforce development institutions, the challenge may involve preparing individuals not only to qualify for employment but also to identify, develop, and sustain independent economic opportunities.

Conclusion: A Future of Work Without Employment Security?

The future of work may involve more than changes to where people work, how many hours they work, or which skills employers demand.

It may also involve changes to whether conventional employment remains sufficiently available to support the working population.

Artificial intelligence could increase productive capacity while reducing labor demand in certain occupations. Whether these effects result in widespread displacement, job transformation, or new employment opportunities will depend on technological development, economic demand, institutional responses, and organizational decisions.

Necessity-driven entrepreneurship represents one plausible response to employment displacement.

However, entrepreneurship should not automatically be interpreted as economic empowerment when individuals pursue it because adequate employment alternatives are unavailable.

The central research question is therefore not simply whether more people will become entrepreneurs.

It is whether an increasingly entrepreneurial workforce will have access to sufficient economic opportunity to sustain itself.

Download the Full Research

#ioMatterz Research 003 — The Entrepreneurial Workforce: When Employment Is No Longer the Default

Read the complete research paper for the supporting evidence, conceptual framework, competing explanations, research limitations, and references.

Download Full Research White Paper — PDF

About the Author

Brandon J.T. McCray, Ph.D. examines organizational effectiveness, human motivation, leadership, and the changing relationship between technology and work through industrial-organizational psychology.

His #ioMatterz Research & Insights publications investigate the organizational and human consequences of emerging economic and workplace developments.

Research and Editorial Note

This publication presents a critical narrative synthesis and conceptual futures analysis. It is not a systematic review or a prediction that traditional employment will disappear.

The Employment-to-Enterprise Displacement Model is a preliminary conceptual proposal requiring empirical validation. Readers should consult the full research paper for scholarly references, competing evidence, and limitations.

#ioMatterz Research & Insights

Research establishes what the evidence supports. Insights explains why it matters.