Recruiting Trends 2026: What the Data Shows for HR Teams

The recruiting trends of 2026 that hold up against the data are fairly plain: a slow-moving U.S. labor market with few quits, candidates using AI in their applications, rising candidate fraud, new state rules for AI hiring tools, a federal step back from disparate-impact enforcement, less weight on degrees, and a spring rebound in entry-level hiring. Each trend below is dated and sourced, as of October 2026.

Recruiting trends 2026 at a glance

A low-churn labor market: fewer quits, slower hiring

The Bureau of Labor Statistics’ Job Openings and Labor Turnover Survey for August 2026 (released September 29, 2026) showed 7.1 million job openings (a 4.3% rate), 5.2 million hires (3.3%) and 3.1 million quits (1.9%). Layoffs and discharges stayed at 1.6 million (1.0%). BLS described hires as changing little over the month and the year.

The September 2026 Employment Situation (released October 2, 2026) reported a 4.2% unemployment rate, payroll growth of just 29,000, and 1.9 million long-term unemployed, 27.1% of all unemployed people. Average hourly earnings for private employees were $37.81, up 3.0% over 12 months.

What this means for recruiting:

• Passive candidates are harder to move. With quits low, employed people are staying put. Outreach has to give a concrete reason to change: scope, stability, schedule, a clear next step up.
• Active applicant pools are larger. More applications per opening means screening speed and clear criteria matter more than volume. Our guide to resume screening covers how to set knock-out criteria.
• Pay pressure is moderate. With wage growth around 3%, check offers against current market data rather than last year’s bands; see our salary benchmarking methods.

Candidates are using AI, and trust is low

In a Gartner survey released July 31, 2025, 39% of candidates said they used AI during the application process, while only 26% trusted AI to evaluate them fairly. That combination shapes 2026 hiring in two ways.

First, polished resumes and cover letters tell you less than they used to. Put more weight on evidence produced in your process: a short work sample, a structured interview with follow-up questions, or a live problem-solving exercise. Second, candidates are wary of being screened by software. Say plainly in the posting or first email where AI is used, where people make the decisions, and how to request an accommodation.

Our AI in recruitment guide covers which uses are working on the employer side.

Candidate fraud is now an operational risk

The same Gartner release predicts that by 2028, one in four candidate profiles worldwide will be fake. The risk is not theoretical. In a public service announcement dated January 23, 2025, the FBI warned that North Korean IT workers have obtained remote jobs, stolen data and extorted employers, and that some used AI and face-swapping technology during video interviews.

The FBI’s recommended mitigations translate into a short checklist for remote and technical hiring:

• Verify identity during interviewing, at onboarding and periodically during employment.
• Cross-check applicants for reused phone numbers (especially VoIP), email addresses or near-identical resumes.
• Flag changes to address or payment details during onboarding.
• Hold at least one interview or the onboarding session in person where practical.
• Confirm that staffing vendors you use follow sound identity-verification practices.

AI hiring tools face state and local rules

If you use software to screen, rank or score candidates, two sets of rules are already in effect:

• New York City Local Law 144. Employers and employment agencies may not use an automated employment decision tool unless it has had a bias audit within the past year and a summary is public, and they must give candidates notice. The city’s Department of Consumer and Worker Protection began enforcement on July 5, 2023.
• California. Civil Rights Council regulations on automated-decision systems took effect October 1, 2025. They confirm that an automated system can violate state anti-discrimination law, require employers to keep automated-decision data for at least four years, and note that AI assessments that draw out information about a disability may be an unlawful medical inquiry.

Other states have passed or are debating similar laws, with changing effective dates. Keep an inventory of every AI-enabled hiring tool you use, what it decides, which locations it covers, and whether audits and notices are in place.

This is general information, not legal advice. Check with employment counsel for your situation.

Federal policy steps back from disparate-impact enforcement

Executive Order 14281, signed April 23, 2025, directs federal agencies to “deprioritize enforcement of all statutes and regulations to the extent they include disparate-impact liability,” and told the Attorney General and the EEOC Chair to review pending matters that rely on that theory.

An executive order changes federal enforcement priorities; it does not change state law, and state rules such as California’s regulations above still apply. The practical advice is unchanged: use selection steps that are job-related and applied consistently, keep records, and review results by group. Our guides to the employee selection process and reducing hiring bias cover how.

Degree requirements get a second look

The same executive order directs the Attorney General and the EEOC Chair to jointly issue guidance to employers on promoting equal access to employment regardless of whether an applicant has a college education, where appropriate. Whatever your view of the order, it adds federal weight to a question many employers were already asking: does this job need a degree, or does it need skills that can be tested?

A quick audit for each high-volume role: list the tasks, list the skills each task needs, then mark whether a degree is the only reasonable evidence of those skills. Where it isn’t, replace the requirement with a skills assessment or equivalent experience. See our skills-based hiring guide for assessment options.

Entry-level hiring is recovering

The National Association of Colleges and Employers’ Job Outlook 2026 Spring Update (April 27, 2026) found employers projecting a 5.6% increase in hiring Class of 2026 graduates (median). That is a reversal from NACE’s fall 2025 survey, when most employers expected to hold hiring flat and a plurality rated the graduate job market “fair”. Employers with more than 5,000 employees projected an 8.7% increase.

If you paused intern or graduate hiring, the fall 2026 recruiting season is the time to restart: competitors are coming back. Our campus recruiting guide covers the calendar and channels.

A 2026 recruiting checklist for HR teams

• Review time-to-respond and time-in-stage; large applicant pools punish slow processes.
• Add a work sample or live exercise to roles where AI-written applications make resumes less informative.
• Put identity verification into remote hiring and onboarding.
• Inventory AI hiring tools by location, with audit, notice and record-retention status.
• Keep running adverse-impact checks on selection steps, regardless of federal priorities.
• Audit degree requirements on your highest-volume roles.
• Re-benchmark pay ranges against current wage data.
• Restart campus and intern pipelines if they were paused.

How Careerscape can help

Careerscape is a U.S. staffing and recruiting firm offering direct hire, contract, temporary staffing, executive search and RPO across many industries and metro markets. If a slow market is stretching your team or you need help screening large applicant pools, talk to us about hiring support, or check current pay ranges in our free Salary Guide.

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