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Table of contents
Table of contents
Most small business owners aren't full-time recruiters. They post a role when they need to, review applications when they can, and try to make a good decision quickly. That process is getting more complicated.
That's because AI is changing nearly every part of the hiring process, from how candidates apply to what both sides expect. This article covers the biggest hiring trends shaping 2026 and what they mean for small businesses.
AI adoption among small businesses has accelerated fast. According to the Intuit QuickBooks 2026 AI Impact Report, 77% of businesses now use AI regularly, up from 48% in July 2024. And 78% say it has improved their productivity.
Recruiting is one area where that productivity gain is real. AI can take the repetitive work out of:
For a business owner who's hiring while running everything else, that's useful. Faster screening means fewer days with an open role.
That said, using AI in recruiting doesn't transfer legal responsibility to the software.
The Equal Employment Opportunity Commission and the U.S. Department of Labor have both been clear that existing anti-discrimination laws apply to AI and automated hiring tools just as they do to any other employment practice. Federal officials have also emphasized that human oversight is critical to using these tools ethically and legally. This means that while AI can inform the process, the accountability stays with the employer.
In short, AI can help speed up and organize hiring tasks. The judgment calls—who gets an interview, who gets an offer, who fits your team—still need to be yours.
Strong candidates often don't fit a conventional template. People who developed relevant skills through work experience, certifications, apprenticeships, military service, or self-directed learning frequently get filtered out before you ever see their application.
Skills-based hiring addresses that by focusing on what candidates can actually do, rather than relying on a degree or job title alone. In fact, LinkedIn's Economic Graph research found that talent pools expand nearly 10x on average when employers shift from hiring based on job titles to hiring based on skills.
In practice, skill-based hiring means:
More candidates are using AI tools to tailor their applications, and the result is a pool of resumes that can look more polished—and more similar. Comparing applicants based solely on resume reviews is harder than it used to be.
There are better evaluation strategies available, and most don't require expensive software or a dedicated HR team. Using a combination of them also reduces the likelihood of bias creeping in through gut-feel comparisons, which benefits both hiring quality and compliance.
AI is getting better at routine, repeatable tasks. Which is why PwC's 2026 Global AI Jobs Barometer found demand rising fastest for the skills it can’t replicate: judgment, creativity, leadership, and interpersonal ability in roles most exposed to AI.
Here’s how employers are building human skills assessment into every stage of the hiring process.
Hiring is changing quickly, but small businesses don't need to rebuild their process from scratch. A few targeted changes go a long way.
Rewrite requirements around outcomes and skills rather than credentials. Be specific about what success in the role actually looks like. For example, if a degree isn't truly necessary to do the job well, leaving it out broadens your pool without lowering your bar.
Use consistent questions for every candidate interviewing for the same role. Compare candidates using a scorecard aligned with the job description.
Asking candidates to complete a short skills assessment or work sample can sometimes tell you more than another round of interviews. Keep it brief and relevant to the actual job, and evaluate everyone against the same criteria.
AI can handle some of the time-consuming parts of recruiting, such as drafting job descriptions, sorting through a large applicant pool, and scheduling interviews. Review outputs before acting on them and keep final hiring decisions with your team.
Many job boards and applicant tracking systems also rank and screen candidates automatically. Check the settings and documentation for any platforms you use to understand how candidates are being filtered before you see them.
As of 2026, pay transparency laws are now on the books in 16 states, including New York, New Jersey, and California. Some impact businesses with as few as four employees. Check whether your state requires salary ranges in job postings. Beyond compliance, candidates who know what to expect upfront are generally better matched and less likely to drop out later in the process.
Hiring takes time and money, and knowing if or where your process is breaking down can help you fix it. Consider these three metrics:
Hiring doesn't end when someone accepts an offer. A structured first few weeks can help reduce early turnover. Establishing an onboarding process and creating a new hire checklist is a good place to start.
Finding the right person takes effort and attention to detail. So does everything that comes after. Payroll setup, tax withholding, benefits enrollment, time tracking, and employee records all need to be handled—usually at the same time a new hire is still getting up to speed.
QuickBooks Workforce connects payroll, HR, time tracking, and benefits in one place. For small businesses adapting to 2026 hiring trends, connected workforce tools can help reduce manual work and support a smoother new hire experience.