AI has become a leading driver of US job cuts, but the same tools are helping redundant workers launch leaner businesses built on their industry experience.
Artificial intelligence is increasingly shaping both sides of the labour market. According to Entrepreneur, AI was cited as the leading reason for U.S. layoffs in 2026, accounting for about 21% of announced job cuts by the end of September. That figure reflects a broader shift in how companies are reorganising work, with employers using automation to reduce layers, simplify operations and, in some cases, shrink headcount. Reports from CFO Dive and CBS News show that AI-linked cuts have already mounted sharply this year, while Tech industry coverage from Tom’s Hardware indicates that AI and automation were responsible for a substantial share of technology-sector layoffs in early 2026.
The biggest names in technology have helped define the trend. Amazon has announced nearly 16,000 job cuts, saying it wants fewer layers of management and less bureaucracy, while CEO Andy Jassy has previously argued that generative AI and agentic tools will reduce the need for some roles. Meta has said it is eliminating around 8,000 jobs as it redirects more capital towards AI. Block has also cut more than 4,000 positions, with Jack Dorsey describing a leaner structure built around intelligence tools and smaller teams. Reuters has tracked similar AI-related restructurings at companies including Allianz, Nike, Telstra and British American Tobacco, suggesting the pattern is spreading beyond Silicon Valley.
Yet the same technology that is weakening some jobs is also lowering the cost of starting a company. Entrepreneur notes that new business formation has remained unusually strong this year, with the U.S. Census Bureau recording nearly 4.2 million business applications in the first eight months of 2026, up roughly 17% from the same period a year earlier. Those filings do not prove that AI or layoffs are driving the increase, since business registrations rise for many reasons, but the timing has drawn attention. More workers now have access to software that can help with market research, planning, marketing content, customer service and routine administration without requiring a large team.
That matters because a layoff can leave a worker with something that is often more valuable than a severance cheque: domain knowledge. People who have spent years inside one industry usually know where processes break down, where customers become frustrated and where existing products leave gaps. Entrepreneur argues that this practical understanding can be the basis for a consulting practice, niche service or specialised product. In that sense, a setback at a large employer can become a source of competitive advantage for a small business, especially when the founder already understands the problem they want to solve.
The key, however, is not to confuse low-cost tools with a complete business strategy. AI can help a founder launch without hiring immediately, but it cannot replace customer trust. A business still needs human judgement, direct relationships and a clear understanding of demand before it can scale. Entrepreneur’s argument is that AI should be used to remove waste, not people from the centre of the enterprise. For workers affected by restructuring, the lesson is pragmatic: use the technology that is changing employment to reduce start-up costs, but build the business around experience, credibility and human contact.
Disclaimer: This content is intended for informational purposes only. Readers are advised to exercise their own judgement, conduct due diligence, or consult a qualified expert before acting on any information provided.
