Travis Di Lombardi-Spicer left audio production in early 2025. He saw budgets shrinking and, after being denied a raise, concluded that waiting for AI to disrupt his role was a losing strategy. With roughly $75,000 in annual income from combined work, he allocated $40,000 from savings and asset sales to build Spotbookr, an analytics platform powered by AI.
His move reflects a broader pattern. U.S. business applications hit a record 1.56 million in a recent three-month period. While economic uncertainty often drives entrepreneurship, a distinct group is now exiting preemptively. They are professionals, particularly in tech-adjacent fields, who anticipate AI-driven workforce restructuring and prefer to architect systems rather than become subject to them.
For engineers and data practitioners, the calculus involves specific trade-offs. Corporate roles offer apparent stability but with diminishing control over technical direction and personal impact. Starting a business swaps that for operational risk but provides full ownership of the stack and product decisions. The technical barrier to entry has also lowered; large language models and other AI tools can handle initial prototyping, content generation, and basic administrative tasks that once required hiring or significant time investment.
Michelle Yeung, a former software engineer earning $250,000 annually, made a similar trade. She now runs a cafe, applying a builder's mindset to a physical product. Neither she nor Spicer currently draws a salary, opting for lifestyle adjustments to fund their ventures.
The data suggests a shift. Job growth has slowed markedly, and high-profile tech layoffs linked to AI efficiency gains are frequent headlines. For some technical workers, the perceived risk of corporate displacement now outweighs the known risks of entrepreneurship. The tools to build are more accessible, even if market saturation and competition are rising. The primary draw isn't necessarily an AI product itself, but using the technology to gain autonomy over one's work—a system design decision applied to a career.
Source: CNBC