AI has made it easier to apply for jobs, but that convenience is creating a new problem: employers are receiving more applications while recruiting teams have fewer people to review them. Indeed CEO Hisayuki Idekoba recently described the result as a hiring “vicious cycle” in which job seekers send more applications because they receive little feedback, while employers become even more overwhelmed by application volume.
For candidates, the lesson is not to apply faster. It is to become easier to identify as a credible match.
What is changing in hiring
- AI tools have reduced the time required to find jobs, tailor resumes and complete applications.
- Indeed says applications per job doubled between 2022 and 2025 while recruiter headcount fell sharply.
- Employers are experimenting with AI matching and verification to find serious, qualified candidates faster.
- Mass applying can increase application volume without necessarily improving interview odds.
- Candidates need stronger evidence of fit, clearer skills and more targeted applications.
Why the application process feels harder even when applying is easier
Job-search technology has removed friction. A candidate can discover hundreds of openings, generate a draft cover letter, tailor resume language and submit applications much faster than a few years ago. Employers have also automated sourcing, screening, scheduling and candidate communication.
In theory, that should make hiring more efficient. In practice, automation on both sides can create congestion.
Recent reporting on Indeed’s hiring strategy highlights the imbalance. The company says applicant volume per job doubled from 2022 to 2025, while recruiter numbers declined by 56%. Indeed’s CEO argues that candidates often receive little or no response, so they respond rationally by applying to more jobs. Employers then receive even more applications, making thoughtful review harder.
This is not simply an “AI is bad for hiring” story. AI can improve matching and reduce administrative work. The problem is that reducing the cost of applying changes candidate behavior. When one application takes minutes instead of an hour, the number of applications can rise much faster than the number of relevant jobs.
The new job-search problem: signal versus volume
Imagine a recruiter receives 100 applications and 20 are plausible matches. Reviewing them is manageable. Now imagine 400 applications arrive, many containing polished AI-assisted language and similar keyword patterns. The recruiter still needs to identify the same small group of genuinely qualified candidates, but the signal is buried under much more content.
That changes what a strong application needs to accomplish. Your resume must communicate three things quickly:
- Relevance: you have done work similar to what the employer needs.
- Evidence: your claims are supported by measurable outcomes, projects or credentials.
- Credibility: your experience, dates, skills and professional presence are consistent and verifiable.
Why sending 200 generic applications can backfire
There is no universal ideal number of applications. Someone entering retail may reasonably apply to many similar openings, while a senior specialist may have a much smaller target market. The problem is not volume itself. It is low-quality volume.
A generic resume can miss the employer’s actual requirements. AI-generated cover letters can sound polished while saying almost nothing specific. Candidates may also apply to jobs for which they do not meet core qualifications simply because the cost of applying is low.
That increases rejection and silence, which can encourage even more applications. This is the cycle Indeed is trying to address.
A better strategy: build a high-fit application funnel
| Stage | What to do | Goal |
|---|---|---|
| Target | Choose roles where you meet most core requirements | Reduce low-probability applications |
| Verify | Confirm employer, location, compensation and posting source | Avoid stale, duplicate or suspicious listings |
| Tailor | Adjust summary, skills and bullets to the real requirements | Make relevance obvious |
| Prove | Add metrics, projects, portfolio evidence and outcomes | Differentiate from generic AI-written claims |
| Connect | Find a relevant employee, recruiter or professional contact | Create a human signal beyond the application |
| Track | Measure applications, screens and interviews | Improve based on conversion, not emotion |
Step 1: classify jobs before applying
Use three buckets. A high-fit job is one where your experience matches the core responsibilities and most required qualifications. A stretch job is one where you have transferable evidence but are missing a non-critical requirement. A low-fit job is one where you lack several essential qualifications.
Spend most of your time on high-fit opportunities. Stretch applications can be worthwhile when you can explain the transfer clearly. Low-fit mass applications usually consume time without improving your funnel.
Step 2: write resume bullets that are difficult to fake
AI is excellent at producing generic professional language. That makes generic language less valuable.
Instead of writing “Managed cross-functional projects and improved efficiency,” give the reader something concrete: scope, environment, result and scale.
A stronger structure is: action + problem + scale + measurable outcome.
For example: “Redesigned the weekly service-reporting workflow for six teams, reducing manual preparation from four hours to 90 minutes.”
The number is not valuable because algorithms like numbers. It is valuable because specificity helps a human understand what you actually did.
Step 3: use AI as an editor, not an identity
AI can help candidates compare a resume with a job description, identify missing evidence, improve clarity, practice interview questions and research unfamiliar terminology. Those are productive uses.
The risk comes when AI invents experience, exaggerates proficiency or turns every candidate into the same corporate voice. Never add a tool, credential, project or result you cannot defend in an interview.
A practical workflow is to draft your real experience first, then use AI to challenge it: Which bullet is vague? Which requirement is unsupported? What question would a skeptical recruiter ask? Then rewrite the answer in your own words.
Step 4: make transferable skills explicit
Indeed’s CEO has argued that hiring systems can overlook transferable skills when employers rely too narrowly on titles or conventional experience. Candidates can reduce that risk by translating prior work into the language of the target role.
A teacher moving into learning and development should not assume a recruiter will automatically translate classroom experience into facilitation, curriculum design, stakeholder communication and assessment. A hospitality manager moving into operations should explicitly show scheduling, workforce planning, customer escalation, budgeting and process improvement.
Do not hide the career change. Explain the bridge.
Step 5: strengthen verification signals
As synthetic applications increase, credible identity and work evidence become more important. Indeed has discussed verification measures for employers and job seekers, including phone and professional-license verification in relevant contexts.
Candidates can improve credibility even when a platform does not require formal verification:
- Keep LinkedIn dates and job titles consistent with your resume.
- Use a professional email address and complete contact information.
- Link to a portfolio, GitHub profile, publication, certification record or project where relevant.
- List credentials accurately and include issuer information.
- Prepare references before late-stage interviews.
- Be ready to explain every major claim on your resume.
Step 6: use networking to escape the application pile
Networking does not mean asking strangers for jobs. It means creating context around your application.
Before applying, identify people who work in the relevant function. Ask a precise question about the role, team or skill requirements. Alumni, former colleagues, professional associations and industry events can provide warmer paths than unsolicited messages to executives.
GoHires’ professional networking guide explains how to turn events and professional communities into useful career relationships without treating every interaction as a referral request.
Step 7: measure your conversion rate
Job searching becomes emotionally exhausting when success is measured only by offers. Use intermediate metrics.
| Metric | What it can tell you |
|---|---|
| Applications to recruiter screens | Whether targeting and resume positioning are working |
| Screens to interviews | Whether your experience and expectations align with the role |
| Interviews to final rounds | Whether examples and interview performance are competitive |
| Final rounds to offers | Whether positioning, references, compensation or competition may be limiting conversion |
Do not treat a small sample as statistically meaningful. But if you submit dozens of carefully targeted applications and receive no screens, revise the top of the funnel before sending dozens more.
What recruiters can do differently
The application flood is not solely a candidate problem. Employers create unnecessary volume when job descriptions are vague, salary information is missing, requirements are inflated or candidates receive no closure.
Recruiting teams can improve the system by defining must-have requirements clearly, publishing realistic compensation where possible, closing stale requisitions, communicating status and using structured assessment rather than adding more screening layers.
AI matching may help, but it should be tested for quality and fairness. A faster filter that rejects strong transferable candidates is not an improvement.
Will AI make resumes obsolete?
Not yet. The resume remains a common structured summary of experience, even as platforms increasingly use profiles, assessments and matching systems. What may change is the resume’s role.
In a high-volume market, a resume is less likely to win a job by itself. It needs to survive screening, communicate fit and provide evidence that can be validated through interviews, work samples, assessments and references.
A 30-day plan for a job seeker in a crowded market
Week 1: positioning
Choose one or two target role families. Build a master resume with evidence-rich accomplishments. Identify the 10 skills or requirements that recur most often.
Week 2: market test
Apply to a small batch of high-fit roles using tailored versions. Track responses. Begin conversations with people in the target field.
Week 3: strengthen proof
Address the biggest credibility gap. That may mean a portfolio project, certification, case study, writing sample, technical lab or stronger quantified bullet.
Week 4: optimize the funnel
Review conversion. If applications are not producing screens, improve targeting and resume clarity. If screens are not becoming interviews, improve your career story. If interviews stall, practice stronger evidence and questions.
Frequently asked questions
Is AI causing employers to receive more applications?
AI tools are one factor making job discovery, resume tailoring and application completion easier. Indeed’s leadership has linked automation on both sides of hiring with rising application volume and recruiter overload. Other factors, including labour-market conditions and easier online applications, also matter.
Should I use AI to write my resume?
AI can help edit, compare and improve a resume, but the underlying experience and claims should be yours. Never allow an AI tool to invent qualifications or results.
How many jobs should I apply to each week?
There is no universal number. Track quality and conversion instead. A smaller number of high-fit applications can be more useful than a large number of generic submissions, particularly for professional and specialized roles.
How do I stand out from AI-generated applications?
Use specific evidence, measurable outcomes, relevant work samples, credible professional profiles and targeted networking. Generic polished prose is easier to generate than genuine proof of capability.
Are recruiters being replaced by AI?
Recruiting teams are using more automation, but hiring still involves judgment, interviewing, stakeholder decisions and candidate evaluation. The more immediate change is that recruiters are managing higher application volumes with new matching and screening tools.
Bottom line
AI has made applying easier, but easier applications do not automatically produce better matches. The competitive advantage is shifting from application speed to signal quality.
Job seekers should use AI to improve research and clarity, then invest the saved time in targeting, evidence, verification and human relationships. Employers, meanwhile, need to make it easier for qualified candidates to understand what is required and receive meaningful closure.
The hiring system may become more automated, but credible evidence of doing valuable work remains difficult to automate away.
Sources and methodology
GoHires reviewed recent reporting on Indeed CEO Hisayuki Idekoba’s comments about application volume and recruiter capacity, along with Indeed’s published information about its AI-driven matching products. Statistics attributed to Indeed are presented as company-reported figures and should not be interpreted as measurements of every employer or job market.
- Business Insider: Indeed CEO on the hiring application cycle, September 12, 2026
- Indeed: AI-driven matching and hiring data
- Indeed Career Guide
Last updated: September 14, 2026.
