Entry-Level Hiring is Broken: How to Compete When Demand is Up and Candidates are Pulling Back

Leaders who win will shift from volume to conversion, lean into skills-based hiring, fix the communication black hole, and make AI visible, governed, and human.

Two markets, one problem

Look at the headline numbers from iCIMS’ May 2026 Workforce Report¹, and the story of hiring in 2026 splits along geographic lines.

In the U.S., demand is rising fast but supply is not. Openings in April were up 15% from March 2025 while applications were down 10% after a brief spike in January, and hiring has stalled at 0% growth. Teams are also moving faster with just 31 applicants per opening in April, but they are working inside a constrained pool and the backlog of open roles keeps growing.

In Europe, the Middle East, and Africa, the pattern looks different. Job openings and applications in April were nearly flat at 1% below baseline (March 2025) while hires were up 9%. Time to fill has also decreased from 55 to 48 days, from January to April, and applicant volume is steady at 42 applicants per opening in April as teams turn the same level of demand and candidate interest into more hires through streamlined workflows and better candidate-to-role matching. Employers are not adding more to the funnel. They are getting more from what they already have.

The lesson is the same in both markets. The old post and pray playbook is finished. Advantage now comes from conversion and execution, not from piling more candidates into the top of the funnel.

Entry-level hiring is out of balance

Entry-level talent is walking into a market that feels stacked against them. According to a survey of 1,000 U.S. job seekers in the May Workforce Report, 78% of entry-level job seekers respondents (ages 18 – 24) believe AI is reducing the availability of entry-level roles, with one in three saying it is cutting them significantly and almost half saying somewhat. 58% percent agree companies are hiring fewer entry-level employees specifically because of AI, so every rejection feels like part of a structural shift, not just a single missed shot.

Trust in the process is fraying.

• 37% percent of entry-level job seekers do not trust AI in hiring because it feels too impersonal, while 22% are open to it if humans still make the final decisions. They are not anti-tech, they are anti-opacity.
• On top of that, 59% believe “entry level” roles now expect mid-level experience.
• 38% percent say the application black hole is their biggest frustration, 15% point to a process that is too long or confusing, and 11% are most frustrated by being screened out by AI early.

No surprise that 23% worry they lack the right skills, 20% fear there are not enough entry-level jobs, and more candidates are not confident in their careers (29%) than very confident (19%).

Despite this, entry-level candidates are not standing still. They are changing how they search and how they build skills. Thirty-three percent are applying to a broader range of roles and industries, 30% are learning new AI skills, and 29% are using AI tools to support their applications and career planning.

From volume to conversion: What leaders should do next

The data is clear. Leaders cannot control macroeconomic conditions or how confident candidates feel about the broader job market. They can control how roles are designed, how skills are assessed, how communication is handled, and how AI is deployed. The priority for the next 90 days is to shift from chasing volume to competing on conversion.

For TA Leaders:

• Compete on conversion, not volume. Applications were down 10% overall (9% entry-level); a bigger top of funnel will not close the gap.
• Cut time to fill. Six to seven weeks is unsustainable. Even EMEA’s 48 days (down from 55 in January) is too long for entry-level candidates.
• Strip friction. Eliminate redundant interviews, collapse approvals, and push managers to decide faster.
• Drop inflated experience requirements on “entry-level” roles. Hire for skills, trainability, and potential.
• Rediscover and re-engage talent already in the pipeline as net-new sourcing gets harder.

For CHROs:

• Treat entry-level hiring as talent strategy, not a recruiting problem.
• Entry-level candidates are already adapting: 23% are learning AI skills, 21% broadening their search, 19% using AI in applications, 17% pursuing certifications, and 17% are networking more.
• Match that momentum internally with skills-based development, training, and mentorship to build the capabilities currently bought at a premium externally.
• Pair investments with real internal mobility so junior hires can move into mid-level work instead of being blocked by rigid experience requirements.
• If AI only cuts cost and time without creating ways for early-career talent to grow, you are shrinking the future bench, not building it.

For CXOs:

• Hiring is a leading indicator of whether growth plans are realistic, especially in frontline sectors like manufacturing, healthcare, retail, and hospitality.
• AI is a powerful lever, but how it is used matters. Map where automation appears, what it decides, and where humans stay in control.
• Pair AI investment with equal investment in communication and candidate experience, not just faster workflows.

The decision you must make

Entry-level roles are not disposable. They are the feeder system for future leaders, and today that system is out of balance. Leaders cannot control macroeconomic anxiety or global confidence levels, but they can control how they design roles, assess skills, communicate with candidates, and apply AI to their hiring processes.

Competing when demand is up and candidates are pulling back requires deliberate action, not hope. A practical starting point is simple: Choose one meaningful change in each category—conversion, communication, skills, and AI transparency—and test it on the next ten entry-level hires. Measure the impact, learn quickly, and scale what works. That is how organizations move from reacting to labor market turbulence to building an agile, data-driven, AI-enabled talent strategy that can withstand whatever comes next.

1. ICIMS, 2026. “May 2026 Workforce Report.” iCIMS website, https://www.icims.com/company/corporate-newsroom/research/.

Trent Cotton is the Head of Talent Insights and Analyst Relations at iCIMS, where he helps recruiting teams harness data to hire smarter and faster. With more than 20 years of HR and talent leadership experience, he specializes in turning workforce trends into actionable strategies that drive results. Trent is also the author of High Performance Recruiting and Sprint Recruiting, offering practical frameworks for building high-impact recruiting functions. A passionate advocate for blending data with human decision-making, he continues to challenge traditional models and champion innovative approaches in today’s talent economy.