AI is not merely threatening jobs. It is restructuring the perceived risk-reward relationship between corporate employment and business ownership in ways that are pushing executives toward business ownership.
According to Goldman Sachs research published in April 2026, AI is now eliminating a net 16,000 U.S. jobs per month, with white-collar, cognitive roles bearing disproportionate impact.
At the same time, new business applications in the United States are running 25.54% ahead of 2025's pace, and entrepreneurial participation has reached 25% of working-age adults, the highest level since the early 2000s, according to the GEM 2026 survey.
The argument of this article is that these two trends are not coincidental. AI is not merely threatening jobs. It is restructuring the perceived risk-reward relationship between corporate employment and business ownership in ways that are pushing experienced professionals, particularly those with capital, expertise, and career optionality, toward owning something rather than working for someone.
A stable salary, a defined career path, institutional backing, and a predictable identity. Business ownership was the risky alternative. You gave up certainty for autonomy.
That framing is becoming increasingly difficult to sustain.
Goldman Sachs measured 16,000 net U.S. job losses per month from AI displacement in 2026, representing 25,000 positions eliminated by AI substitution and only 9,000 added through AI augmentation. Annualized, that is approximately 192,000 net positions disappearing from the U.S. economy every year. And as McKinsey's most recent global survey found, 94% of employees and 99% of C-suite executives report some personal use of generative AI, which tells you that this is not a technology executives are watching from a distance. They are using it daily, which means they understand better than anyone what it is capable of replacing. Axis IntelligenceALM Corp
McKinsey estimated that today's technology, not future iterations, could in theory automate approximately 57% of current U.S. work hours. That is not 57% of jobs eliminated. It means that across the entire working population, just over half of the hours worked involve tasks that a sufficiently deployed AI system could handle. Goldman Sachs research found that current AI systems can match or outperform up to 47% of industry professionals on a defined set of economically valuable tasks. ALM CorpALM Corp
For the experienced executive, the uncomfortable version of this data is personal. If the cognitive tasks that justified your compensation for twenty years are now partially replicable by software, the question of what you are actually selling to an employer becomes genuinely urgent.
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The popular narrative frames AI displacement as a problem for low-skill, routine workers. The data tells a more complicated story. Based on 2025 data from Goldman Sachs, the World Economic Forum, and the Anthropic Economic Index, the white-collar roles facing the most immediate exposure include software programmers, accountants and auditors, legal and administrative roles, data analysts, and business analysts. Higher Landing
Stanford HAI's 2026 AI Index found employment for software developers aged 22 to 25 fell nearly 20% since 2024, while employment for developers aged 30 and over continued growing. The entry-level ladder is being pulled up, not the whole building. But senior professionals are not immune. McKinsey Global Institute estimates that generative AI could automate 60% to 70% of current work activities before 2030. Axis IntelligenceProf. Hung-Yi Chen
What this produces, in the minds of experienced professionals, is a delayed but increasingly visible threat. Their positions are not being eliminated today. But the structural foundation beneath those positions is quietly eroding, and they can feel it.
Something measurable is happening in response. From November 2025 through January 2026, Americans filed 1.56 million new business applications, the most of any three-month stretch since at least 2004, according to a CNBC analysis of U.S. Census Bureau data. Over the full year, more than 5.9 million new businesses were formed in the United States, an 8% increase over 2024. In 2026, applications are running 25.54% ahead of the same period last year. Forbes
The share of working-age adults engaged in entrepreneurship climbed to 25% in 2026, the highest level recorded since the early 2000s, according to the Global Entrepreneurship Monitor's 2026 survey of over 200,000 individuals across 49 economies. Career Ahead
And notably, a growing number of executives, consultants, lawyers, accountants and other professionals are choosing a different route: instead of pursuing another promotion, they are choosing to buy a business, according to Forbes. The shift reflects a changing view of career success, as experienced professionals look beyond salaries and bonuses toward business ownership as a means of building long-term wealth, creating autonomy, and gaining control over their futures. Forbes
The chart below illustrates the inverse relationship between rising AI displacement and accelerating business formation, two trend lines that are not moving independently of each other.
| Year | Estimated AI-Related U.S. Job Losses (Annual) | New U.S. Business Applications |
|---|---|---|
| 2022 | Minimal / pre-ChatGPT | 5.1 million |
| 2023 | Emerging / difficult to isolate | 5.5 million |
| 2024 | Accelerating | 5.5 million |
| 2025 | Significant | 5.9 million |
| 2026 (projected) | ~192,000 net (Goldman Sachs) | On pace to exceed 6M |
Sources: Goldman Sachs April 2026 Report; U.S. Census Bureau Business Formation Statistics; CNBC analysis
Here is the part that most AI-and-work articles miss entirely. The experienced executive who is recalculating career risk is not just someone who should consider business ownership. They are uniquely qualified to succeed at it.
More than half of U.S. small business owners are over the age of 55, according to U.S. Bank's 2025 Small Business Perspective Survey. That is not an accident of demographics. It reflects the fact that business ownership rewards exactly what decades of corporate experience produces: judgment, network, operational instincts, and the ability to lead a team through uncertainty. Forbes
The table below maps the professional skills that AI is systematically replacing against the skills that franchise and business ownership actually require:
| Skills AI Is Replacing | Skills Business Ownership Requires |
|---|---|
| Structured data analysis | Local market judgment and relationship building |
| Standardized report writing | Leadership and culture development |
| Routine legal document review | Vendor negotiation and partnership management |
| Basic financial modeling | P&L ownership and capital allocation decisions |
| Entry-level coding and QA | Team hiring, development, and retention |
| Customer service scripting | Community presence and brand representation |
The skills being automated are not the skills that make a business owner successful. The skills that make a business owner successful are exactly the ones that AI cannot replicate: human judgment, community trust, leadership, and accountability for outcomes.
AI is not going to eliminate the experienced executive. But it is going to change what that executive is worth to an organization, and it is going to change how predictable their corporate future actually is. For professionals who have spent their careers building skills that are increasingly replicable by software, the question of whether to keep betting entirely on someone else's continued need for those skills is becoming genuinely urgent.
Business ownership does not eliminate risk. It restructures it. Instead of the risk of being made redundant by a board decision, the owner faces the risk of market execution. For most experienced professionals, the second category of risk is one they are considerably better equipped to manage.
Will Huffhine is contracted with approximately 500 franchises across 37 industries to facilitate expansion into new markets through identifying professionals interested in business ownership. Schedule a 15-minute call to learn which brands might be looking for you.
