US Entrepreneurs See AI as Growth Driver and Hiring Catalyst, HSBC Study Finds
US entrepreneurs report that artificial intelligence is shaping how they operate and plan to hire more staff in the next two years, according to HSBC’s Global Entrepreneurial Wealth Report 2026. The study surveyed 3,085 high net worth and ultra-high net worth business owners worldwide, including a US subset. The findings suggest AI is viewed as a tool to accelerate growth rather than simply replace workers, though data privacy and security are cited as top concerns.
What changed regarding AI use among US entrepreneurs
Across the US, 94% of entrepreneurs said they have made or plan to make changes to how their business operates because of AI within the next 12 months. This does not mean job losses; many respondents expect AI to help expand teams and roles rather than shrink them.
Key facts from the HSBC study
- 94% of US entrepreneurs have changed or plan to change operations due to AI within 12 months.
- About two-thirds (63%) expect AI integration will increase employee headcount in the next two years.
- Top concerns focus on data privacy and security when using AI.
Who is affected
The findings come from 3,085 high net worth and ultra-high net worth business owners globally, with a US subset included in the results. The report emphasizes growth-stage and wealthier entrepreneurs who are integrating AI into their strategies.
Practical next steps for readers
- Assess AI tools for your business to identify how automation could support growth without reducing headcount.
- Review data privacy and security practices before adopting AI solutions; update policies as needed.
- Begin with pilot projects in non-core areas to measure impact on operations and hiring needs.
Limits and questions to consider
The report covers high-net-worth owners and may not reflect small firms or non-US contexts. It highlights intentions and perceptions, not guaranteed outcomes. Readers should consider their own industry, regulatory environment, and data security posture when applying these findings.
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