The Q1 2026 Job Search Trends Report

Introduction

The first quarter of 2026 marks the slowest job search since we started our quarterly reports in Q1 of 2025. Drawing on 139,927 applications from 25,635 active job seekers, 39,184 tailored resumes, and a 593-respondent survey, Huntr's Q1 2026 dataset shows the median time from search start to first offer climbing to 108 days, up 30% from Q4 2025 and the longest median we have ever measured.

We continued to track the best job sites and job boards that actually land interviews. LinkedIn still captures more than three-quarters of all job saves, yet job sites like Google deliver more than twice the per-application interview rate of LinkedIn.

This quarter, we also looked at some new datapoints. For example, recently unemployed applicants interview at almost the same rate as currently employed applicants, but the 6- to 12-month window cuts interview rates by more than a third.

We also found that remote-only postings, the format every job seeker says they want, return the lowest interview rate of any work arrangement. Salary-disclosed listings also seem to attract the deepest applicant pools and the lowest per-application response rates.

Layer in the 593-respondent survey on AI hiring, layoff fears, mental health, and pay expectations, and a picture emerges of a market that is slower and more crowded than at any point in the past two years, where the candidates who win are the ones who target tightly, track carefully, and refuse to spray and pray. We continue to find that tailoring your resume to match the job description is one of the best things you can do to have a successful search.

Top-line numbers

• 139,927 applications in Q1 2026
• 25,635 job seekers in Q1 2026
• 39,184 tailored resumes built
• 108 days median time from search start to first offer in Q1 2026, up from 83 days in Q4 2025

Highlights of This Report

Your quick-scan overview of the standout findings from Q1 2026.

From Job Search Insights

The Slowest Search on Record: Median time to first offer hit 108 days in Q1 2026, up from 83 days in Q4 2025, the highest reading in our data.

Post-Interview Bottleneck: Candidates wait twice as long after interviews (12 days) as before (6 days), and the longest wait is the run-up to that first interview.

Send Fewer, Send Better: Users who sent 11 to 20 applications in Q1 2026 interviewed at a rate of 9.25% per application, more than 3.5x the rate of users who sent 100 or more (2.58%).

The Same-Company Trap: Applying 8 or more times at one company cuts the per-application interview rate to 1.91%, less than a third of the rate for users who apply once (6.07%).

From Job Search Sites Section

Googling for jobs Leads, LinkedIn Lags: Applications sourced through Google convert at 7.12%, more than 2.4x the LinkedIn rate of 2.94%. Wellfound (5.02%), Seek (4.63%), Welcome to the Jungle (3.63%), and Handshake (3.35%) all out-convert LinkedIn on a trailing twelve-month window.

ATS Reshuffling: Workday gained 4.6 percentage points of share year-over-year, Ashby gained 3.9 points, and Lever lost 6.9 points, the biggest swing of any quarter in our data.

Remote-Only Competition: Remote-only postings convert at 3.63%, the lowest of any single-arrangement category and 37% below onsite-only postings.

The Salary Transparency Reversal: Listings that disclose salary convert at 4.47% versus 6.42% for listings that don't.

From Resume Insights

Metrics and numbers are better than words: Resumes whose summary includes a dollar amount interview at 6.97%, while summaries with no digits anywhere convert at 4.78%, a 1.46x gap.

The one-page resume myth: Two-or-more-page resumes (7.40%) outperform one-page resumes (5.01%) by 48%. The data does not support the one-page rule.

The Gap Penalty Compounds: Recently unemployed candidates (less than 3 months out) interview at 4.39%, almost the same rate as the currently employed (4.19%). After 6 months, the penalty has been increasing. 1-2 year gaps drop to 3.44%, 2+ year gaps to 3.25%.

From Job Search Survey Insights

The Quarter of the Pulled Offer: 18% of survey respondents had a job offer withdrawn in Q1 2026, nearly double the 11% full-year rate we measured in 2025, with men twice as likely as women to lose one (26% vs 13%).

AI Cuts Deepest at Mid-Career: 18% of respondents say they lost a job to AI or automation in 2026. Mid-career workers report 26%, almost twice the 14% rate among seniors.

93% Have Applied to a Ghost Job: Only 7% feel confident they have not applied to a posting they believe was fake. The "many times" rate climbs from 23% in the 1-to-10 application bucket to 42% in the 26-to-50 bucket.

42% Would Lie on Their Resume with AI: 42% of respondents say they would use AI to misrepresent parts of their resume to land an interview, including 52% of millennials and 48% of mid-career workers.

Half of Workers Are Out of Runway: 46% of respondents have less than three months of savings to survive without a job, and 71% have lowered the salary they expect, the deepest combined squeeze we have measured.

How We Gathered This Data

It's important to understand who and what sits behind the numbers. Most headline metrics in this report focus on Q1 2026 (January 1 through March 31, 2026). Quarter-over-quarter trend lines and year-over-year comparisons extend back to Q1 2025, providing a consistent twelve-month comparison window. The job site responsiveness chart uses a trailing twelve-month window (April 2025 through March 2026) for statistically reliable sample sizes. Data streams include platform telemetry (jobs, applications, resumes), event-stamped activity logs, and a 593-respondant survey of Q1 2026 search behavior fielded April 13 to May 3, 2026. We counted 527 completed and 66 partially completed but saved survey results.

Data for Job Search Insights

We pulled anonymized event logs from Huntr's Job Tracker covering every application, stage change, and offer recorded by users between January 1 and March 31, 2026. That covered 139,927 applications created by 25,635 active job seekers. Each event captures precise timestamps for when a user started their search, marked a job as applied, reached an interview, and received an offer. You can review the data here.

Data for Job Search Sites

When a user saves a posting, Huntr captures the source URL. For the trailing twelve months that produced roughly 1.2 million saved jobs, which we grouped by root domain to rank boards like LinkedIn and Indeed, and by ATS domains to see which systems dominate. Response rates come from users marking a saved job as interviewed, offered, or hired, an on-platform action that signals an employer callback. Our metrics in this section key off the root domain of each saved posting (linkedin.com, indeed.com, etc.). This approach captures stand-alone boards cleanly but under-represents applicant tracking systems that embed their pages inside a company's own URL. A Greenhouse job served at careers.acme.com gets attributed to Acme rather than to Greenhouse, so site-level popularity and callback rates favor public boards and may understate the reach of ATS platforms embedded within corporate domains. You can review the data here.

Data for Resume Insights

From 39,184 tailored resumes created in Q1 2026 by 11,943 unique authors, we extracted structured fields including sections used, bullet counts, character lengths, social links, work history, education, and certifications. To link resume quality with outcomes, we focused on the subset of tailored resumes whose target job was applied for, then compared resumes that led to a self-reported interview against those that did not. Each chart in this section compares the interview rate by one resume feature, holding the cohort constant. You can review the data here.

Data for Job Search Survey Insights

We fielded a 47-field web survey covering Q1 2026 search behavior, collecting 593 responses between April 13 and May 3, 2026, across industries, seniorities, and geographies. The survey supplements platform telemetry with personal finance pressure, AI sentiment, mental health, layoff anxiety, hiring frustrations, and salary expectations. You can review the data here.

Data Integrity and Disclaimer

All insights in this report are based on anonymized user activity and self-reported survey data from Huntr's platform. Metrics and examples involving employers or platforms reflect aggregate user trends and are not endorsements or critiques of those companies. Self-reported interview, offer, and hire data are almost certainly underreported. All findings should be interpreted as indicative, not definitive, in the absence of perfect information. This data is intended as directional trends, a helpful guide for candidates based on what we see while controlling for obvious outliers and anomalies.

Job Search Insights

Time to First Offer

The Slowest Job Search on Record: Time to First Offer Up 30% From Q4

The median time from search start to first offer climbed to 108 days in Q1 2026, up from 83 days in Q4 2025, 67 days in Q3 2025, and 69 days in Q2 2025. That is the largest single-quarter jump in our data and the highest median we have ever recorded.

The trajectory tells the story. Through the middle of 2025, the median sat in the high 60s, a number consistent with hiring cycles that had stretched but not yet broken. Q4 2025 saw the first real spike to 83 days, which we attributed at the time to year-end seasonality. Traditionally, we see a ramp-up in hiring in Q1 2026, which is not reflected in the median search time numbers.

Q2 2026 partial data from April already shows the median pulling back toward 86 days, so the spike may turn out to be temporary, but the longer-arc trend across five consecutive quarters points up.

For job seekers, plan for a full quarter at minimum, and stretch your runway, your savings, and your application discipline accordingly.

Individual Job Timeline

The Search Bottleneck Is Not the Interview

For job seekers who land an interview, the wait from application to that first conversation runs about 6 days in Q1 2026. The wait from interview to offer runs about 12 days, twice as long. Both numbers held remarkably steady through the year-long slowdown. Recruiters who are interested in a candidate still move on roughly the same timelines they always have.

Time to First Interview

The Interview Gate Is Moving Slower

The median time from search start to first interview rose to 29 days in Q1 2026, up from 28 days in Q4 2025, and 21 days through Q2 and Q3 2025. The 8-day climb across two quarters lines up with the broader slowdown story. Job seekers are waiting longer to hear back.

In the percentile distribution, the picture is sharper. Half of the candidates who eventually get an interview do so within roughly 30 days, but the 75th percentile waits 60+ days, and the 90th waits more than four months. The market still works fast for some and grindingly slow for others, and the gap has grown.

The practical advice has not changed. Tighten your target job opportunities, tailor every application, and treat the first 30 days as the period when momentum compounds. Things move faster if you can get going quicker.

Number of Applications

Send Fewer, Send Better

For users who sent at least 11 applications in Q1 2026, the interview rate drops sharply as total application volume climbs. The 11-to-20 application bucket converts at 9.25%. The 21-to-50 bucket: 6.96%. 51 to 100: 4.65%. 100 or more: 2.58%, less than a third of the rate seen at the low-volume end.

Volume erodes quality. The candidates landing the most interviews per application are the ones writing fewer, more targeted applications. The candidates landing the fewest are the ones running spray-and-pray at scale.

Applications Created Before Offer Received

Two-Thirds of Successful Searches End Within 50 Applications

For Huntr users who landed their first offer between April 2025 and March 2026, and who logged at least 11 applications before that offer, 31.29% got there in 11 to 20 applications. Another 17.04% needed 21 to 30. 16.80% needed 31 to 50. 20.38% needed 51 to 100. 14.49% needed more than 100.

We widened this chart to a trailing 12-month window (April 2025 to March 2026) to ensure the sample is large enough to offer higher confidence.

The Same-Company Trap

Apply Once. Then Move On.

Fortune 500 recruiters have told us for years that when a candidate applies to many jobs at the same company, the recruiters notice and downgrade the application. Q1 2026 data confirms the pattern.

A user who applies once at a given company in Q1 2026 interviews at 6.07% per application. Two or three applications drop to 4.64%. Four to seven drops it to 3.34%. Eight or more applications collapse to 1.91%, less than a third of the single-application rate.

The rates fall more sharply than pure denominator effects predict which means there is real diminishing returns: Each additional application to the same company earns less than the one before it.

Pick the role that fits best. Apply to that one. Move on. If you have to apply at the same company again, wait several months, aim at a different team, and write a fresh application from scratch. Spamming the queue does not help. It actively hurts.

Job Search Sites

Most Popular Job Sites

Google Jobs Converts at 2.4x the Rate of LinkedIn

Google pulls postings directly from the career pages of employers and every major job site and job board on the web. and routes applicants to the company's own application form. Among the 2,064 applications Huntr users sourced through Google.com in the trailing twelve months, 7.12% led to an interview. That is 2.4 times LinkedIn's per-application rate (2.94%) and the highest among any source on the chart by a wide margin. Here is how to use Google as a job board.

The rest of the ranking matches the pattern we have seen for two years. Specialized boards beat general ones. Wellfound (5.02%), Seek (4.63%), Welcome to the Jungle (3.63%), Handshake (3.35%), Glassdoor (3.18%), Indeed (3.14%), and Computrabajo (3.12%) all clear LinkedIn by a meaningful margin.

LinkedIn captures more applied jobs than every other source combined, but converts worse than eight of the seventeen sites that cleared the 1,000-application threshold. LinkedIn is a social platform that doubles as a labor marketplace. Postings get broadcast to a candidate pool that runs into the thousands per role. Specialized boards reach smaller, more relevant audiences.

Popular Applicant Tracking Systems

Workday Gains, Lever Falls Hard

The applications a Huntr user sends in Q1 2026 land on these ATS platforms (compared to Q1 2025):

Greenhouse holds the lead with 23.73% share, essentially flat from 23.42% a year earlier. Workday jumped from 17.12% to 21.72%, a 4.6 percentage point gain that runs counter to the late-2025 narrative that had it shrinking. Ashby continued its climb from 11.54% to 15.41%. Lever lost the most ground of any system, dropping from 13.84% to 6.95%, a 6.9 percentage point fall. iCIMS held flat at roughly 3.4%, Oracle Cloud nudged up to 3.15%, and Workable dropped from 5.66% to 2.77%.

The shape of the market is consolidating around the top three. Greenhouse, Workday, and Ashby now account for 60.86% of all ATS-routed applications our users send, up from 52.08% a year earlier.

For job seekers, the takeaway has not changed. The machine on the other side of the application is more of a filing cabinet than a gatekeeper. Knockout questions reject you, resume parsing does not. Most simply don't know how applicant tracking systems actually work. The advice we give remains the same: answer the screening questions truthfully, and put your best foot forward with a tailored résumé that matches the job description.

Remote-Only Jobs Respond Least

The Format Job Seekers Want Most Returns the Fewest Callbacks

Forty-eight percent of respondents to our Q1 2026 survey say their preferred work arrangement is fully remote, and the competition for these roles shows in the interview rates.

In Q1 2026, onsite-only postings converted at 5.76%. Hybrid-only converted at 5.71%. Remote-only postings converted at the lowest rate, 3.63%, 37% lower than onsite-only.

The most likely driver is competition. Remote-only postings draw the largest, most distributed applicant pools. Per applicant, the rate drops. Correlation, not cause, but the gap is large enough to act on.

Listings With Disclosed Salaries Respond Less

Salary Transparency Surprise

Q1 2026 applications to listings that disclosed a salary range converted at 4.47%. Applications to listings that did not disclose a salary converted at 6.42%.

Pay-transparency laws in California, Washington, New York, Colorado, and several smaller jurisdictions have driven employers in those states to publish ranges. Those listings appear to draw more applicants per role. This is correlation, not cause, but the pattern is consistent across all the ways we analyzed it.

Resume Insights

Resume Success Factors

A successful resume is one that has led to an interview, as recorded by users in our job tracker system. The true interview rate is almost certainly underreported, since many users either stop updating their tracker after a certain point or miss some roles. However, the trends across the Q1 2026 tailored resume cohort surface clear patterns.

The Q1 2026 cohort tells a consistent story across most features we measure. Interviewed resumes tend to be longer, more detailed, and more specific about numbers and outcomes. They list more achievement bullets per role, with each bullet running closer to 150 to 200 characters. They favor depth in education descriptions over breadth in credentials lists. The candidates who get interviews are the ones who are writing for a specific reader, the hiring manager/recruiter, not optimizing for a generic ATS.

The sections below cover each feature one at a time, holding the cohort constant and varying only the resume feature in question.

*A note on reading the charts in this section: baselines differ across charts because the cohorts differ. The tailored versus untailored chart uses every application through Q1 2026; its tailored baseline is 4.23%. Every other chart uses the Q1 2026 tailored cohort and baselines sit closer to 6.8%.

Tailored Versus Untailored Resumes

Tailored Resumes Interview at 2x the Rate of Untailored

Across every job application Huntr users have logged, tailored resumes convert at 4.23%. This percentage is low when isolated, but combined with other best practices, it can push interview rates to 5-10%. Applications sent with a base (or untailored) resume convert at 2.07%. That is a 2.04x lift on per-application interview rate, the largest single advantage in our resume data.

The 2x lift survives every cohort filter and every time window we tested. It is one of the most consistent findings in this report.

What "tailored" means in Huntr: the user opened the resume tailor, fed in the job description, and let Huntr rewrite the summary, the bullets, and the skills against the posting.

What "untailored" means: the user applied with their base resume, or with a version they edited manually outside the tailor.

Resume Summary

Resumes With a Dollar Figure in the Summary Interview at 1.46x the Rate of Summaries With No Numbers

Resumes whose summary includes a dollar amount were interviewed at 6.97%. Resumes with a summary that had no digits anywhere were interviewed at 4.78%. That is a 2.19 percentage-point gap, or a 1.46x lift, for the engaged-user cohort (users with 10+ tracked jobs in Q1 2026).

The advice is straightforward. If your summary names a dollar figure you closed, saved, generated, or managed, you give a recruiter something concrete to grab onto in the first three lines.

We controlled for tracker engagement (users with at least 10 jobs tracked in the quarter), then measured only the cleanest quantification marker, a dollar amount, against summaries with no digits at all. The 1.46x finding holds across every filter we tried. Suggestive rather than ironclad, the gap sits around the threshold of statistical significance for this sample, but the direction is consistent.

Resume Length by Page Count

Longer Resumes Win for Early and Senior Candidates

The one-page rule does not hold the same way at every stage of a career. When we split the data by years of experience, the picture shifts.

Early-career candidates (0-2 years) gain the most from a longer resume. Their interview rate climbs from 5.45% on one page to 8.13% on two or more, a 49% relative lift. The sample skews toward one-page resumes here (n=2,420 vs n=923), which fits the common advice given to juniors. The data says that advice is wrong.

Mid-career candidates (3-9 years) are the one group where one page still wins. They convert at 7.58% on a single page and drop to 5.80% on two or more. With over 21,000 resumes in this bucket, the result is firm. A mid-career candidate stretching to fill a second page tends to dilute, not strengthen, the case.

Senior candidates (10+ years) gain again from going long, moving from 7.06% to 7.77%. The lift is smaller, but the sample is the largest in the set (n=23,497 for two-plus pages), so the signal is solid. By this stage, most candidates already write two or more pages, and the interviewers want to read them.

The rule that fits the data: juniors should not compress, mid-career should not pad, and seniors should write what the work warrants. Length should track what you have done, not what you have read in a column.

Education Section

Master's and Doctorate Degrees Outperform Bachelor's

The education chart shows that a Master's or MBA correlates with a 7.92% interview rate, a 1.34x lift over a Bachelor's (5.92%). A doctorate is roughly equal at 7.69%. Associate degrees come in at 8.57%, though the sample is small (385 resumes). "Other / high school" lands at 6.29%.

A clear signal in the data is that candidates with the longer, more detailed education sections (those who include relevant coursework, research, honors, thesis topics, and dates) tend to interview at higher rates.

Certification Section

More Certifications Don't Equal More Interviews

The certification effect is essentially flat. Resumes with zero certifications convert at 6.66%. One certification: 6.91%. Two: 7.26%. Three or more: 6.99%. The differences across cert counts are small and most do not pass strict statistical tests on these sample sizes.

The practical read is that the right one or two role-specific certifications may nudge the rate up, but the cert count itself does not appear to be a strong signal in our data. Pick the credentials your hiring manager would actually care about. Skip the rest.

Achievements

More Bullets, Higher Rate, Then Plateau

Resumes with 1 to 5 total achievement bullets across all work entries convert at 4.94%. 6 to 10 bullets: 4.85%. 11 to 20 bullets: 5.91%. 21 to 30 bullets: 7.92%. 30 or more bullets: 8.57%. The rate climbs steadily from the 11-bullet mark through the 30+ bucket and slightly inverts: a deep, well-fleshed-out resume keeps adding lift past 30 bullets.

The lift comes from filling out each role with the work the candidate actually did. Each bullet is a chance to show a metric, a tool, a result, a scope, a team. Resumes with five total bullets across three jobs are not concise; they are thin. Resumes with twenty to thirty bullets across the same three jobs read as substantive.

The average bullet length holds steady around 150 to 200 characters across all buckets, which is a useful guardrail. Short bullets, lots of them, work better than long bullets, few of them. Three to five bullets per role at 150 to 200 characters each is the practical target.

Work Experience

No signs of ageism. Interview Rate Peaks at 20+ Years of Experience

Resumes show a U-shape in the experience-to-interview-rate relationship. Entry-level candidates (0 to 1 years) convert at 5.90%, 2 to 4 years: 3.03%, 5 to 9 years (mid-career): 6.21%, 10 to 19 years (senior): 7.32%, and 20 or more years: 9.22%.

The 2-to-4-year band is the trough. Candidates in that band compete against entry-level applicants and senior applicants. This is the band that takes the longest to find the next role and the one that hits the most rejections per application.

The deep-experience peak is striking. On the applications Huntr users actually sent, the candidates with deep experience interviewed at the highest rate. That is not the complete picture (these candidates may benefit from referrals or networks not visible in our data), but it is the picture our data shows. Whatever AI is doing to senior roles, it has not yet shown up in the application-to-interview data we have.

The 6-12 Month Gap Is the Danger Zone

Career Gaps: Recent Layoffs Don't Hurt

For every tailored resume in the trailing 12 months we computed the time between the applicant's most recent role end and the day they sent the application. The result is a gradual decline that begins around six months.

Currently employed candidates interview at 4.97%. Candidates less than three months out interview at 5.74%, slightly above employed. Three to six months out: 5.54%. Six to twelve months out: 4.51%, the first dip. One to two years out: 4.67%. Two or more years out: 4.22%.

The drop from "employed" to "2+ years out" is roughly a sixth of the employed rate. The drop from "<3 months out" to "24-36 months out" is closer to a third.

What this report still cannot answer is whether labeling the gap on the resume (sabbatical, caregiving, consulting, education) softens the penalty. That requires a text scan over resume bodies against the same outcome variable, and we will publish that as a follow-up.

* This chart uses the trailing 12-month window (April 2025 to March 2026). We require at least 5 tailored resumes per user. Total: 58,814 tailored applications from 1,773 users. The relative shape across buckets is what matters here, and it holds across every cohort filter we tested.

Job Search Survey Insights

We fielded a 47-field web survey covering Q1 2026 search behavior, collecting 593 complete responses between April 13 and May 3, 2026. The instrument carried the standard panel from our 2025 annual report and added new questions on Q1 2026 offer withdrawals, illegal interview questions, AI displacement, and ghost-job exposure scaled by application volume. 438 respondents live in the United States and 155 live in 37 other countries. 271 are unemployed and looking, 127 are employed and applying anyway, 111 are recently laid off. Every percentage in this section uses cohorts with at least 100 respondents. Smaller-cohort cuts (any segment with fewer than 100 respondents, including some industries, executives, baby boomers, and Gen Z) sit in the companion fact-check workbook rather than the body of this report.

Three threads run through the survey results. The job listings are broken: 93% of respondents have applied to a ghost job and 72% have encountered a scam. AI now sits on both sides of the desk: 66% of job seekers have been rejected by an AI and 52% use AI tools daily. And the financial pressure has not eased: 71% have lowered the salary they expect, 46% have less than three months of runway, and 18% had an offer withdrawn in Q1 2026 alone.

The Listings Are Broken

93% of Job Seekers Have Applied to or Suspect a Ghost Job

520 of 559 respondents (93%) say they have applied to a job posting they believe was fake or never meant to be filled, or suspect they have. 212 (38%) have seen ghost jobs many times. 174 (31%) a few times. 134 (24%) suspect they have but are not sure. Only 39 respondents (7%) feel confident they have not applied to a ghost posting at all.

The search problem in 2026 is not that interviews stalled. It is that fewer of the listings the candidate is applying to lead to anywhere real.

The More Applications You Send, the More Ghost Jobs You See

Ghost-job exposure scales with application volume in a near-linear pattern, and the slope is steep across the application-volume bins with strong bases. Respondents who sent 1 to 10 applications before their first interview claim to have seen a ghost jobs at a rate of 23% (29 of 128). The 11 to 25 bucket sat at 29% (40 of 139). The 26 to 50 bucket at 42% (45 of 106).

72% of Job Seekers Encountered a Job Scam During Their Search

396 of 550 respondents (72%) say they encountered a fraudulent posting, a fake recruiter, a request for payment, or another job scam during their search. 265 (48%) encountered scams multiple times. 131 (24%) once. 96 (17%) say no, and 58 (11%) are not sure. Among the only industry with a base above 100, technology respondents (n=254) report repeat-scam exposure at 47% (120), one point below the all-respondent rate of 48%. Nearly, half of all job seekers in our sample ran into a scam more than once.

Only 1% of Job Seekers Trust Online Listings Completely

Five of 549 respondents (1%) completely trust online job listings. 139 (25%) mostly trust them. 148 (27%) feel neutral. 190 (35%) trust them a little. 67 (12%) do not trust them at all. The 47% who land in the bottom two categories represent a significant erosion from our 2025 baseline.

The Hiring Process Is Failing

1 in 5 Job Seekers Had an Offer Withdrawn in Q1 2026

100 of 554 respondents (18%) say an employer withdrew a job offer after extending it during the first quarter of 2026. The result is the largest jump in offer-pull rate we have measured. Our 2025 annual report put the full-year rate at 11%. If Q1 2026 holds across the rest of the year, the annual figure would push well above 2025 levels.

Men are twice as likely as women to lose an offer. 60 of 231 male respondents (26%) had an offer pulled, against 40 of 310 female respondents (13%). Mid-career professionals carry the heaviest load among the career levels with strong bases: 29% (64 of 219) say their offer was withdrawn.

For job seekers reading this, treat a written offer as conditional until your start date and negotiate timelines that do not require you to resign your current role until the new employer has cleared its own internal approvals.

18% of Workers Lost a Job to AI in 2026, and Mid-Career Bears the Brunt

100 of 549 respondents (18%) say they lost a job to AI or automation. The 2025 annual report put the share at one in seven. In Q1 2026, it climbed to nearly one in five.

Mid-career workers are the cohort most affected among the strong-base career groups: 56 of 218 mid-career respondents (26%) report a job lost to AI, almost twice the senior rate of 14% (26 of 187). Millennials report 25% (69 of 280), against Gen X at 10% (19 of 184). Men report 21% (47 of 228), women 16% (49 of 308).

2 in 3 Job Seekers Claim They Have Been Rejected by an AI

365 of 550 respondents (66%) say they have received at least one rejection from an AI in their job search. 149 (27%) are not sure. Only 36 respondents (7%) confidently say they have not been AI-rejected. The result extends our 2025 finding that 64% had been AI-rejected.

It’s important to note that there is no evidence that this is actually the case. I have personally met with dozens of recruiters and hiring managers at companies like Microsoft and Amazon and none have reported that there is any auto-rejection happening via AI. You can learn more about how applicant tracking systems work here and how the data does not support the AI auto-rejection theory.

AI Is Reshaping Both Sides of the Hiring Table

44% Would Accept a Job Offer From a Hiring Process Run by AI With No Humans

244 of 548 respondents (44%) say they would accept a job offer from a company where the entire hiring process was run by AI, with no human interaction. 304 (56%) say no.

Among the two generations with strong base support, millennials accept all-AI hiring at 48% (135 of 279), Gen X at 38% (69 of 184). The gender gap is significant: 53% of men (121 of 228) would accept, against 39% of women (121 of 307).

42% Would Use AI to Misrepresent Their Resume

230 of 548 respondents (42%) say they would use AI to exaggerate or misrepresent parts of their resume if it gave them a better shot at an interview. 318 (58%) say no. The result is close to the 44% we documented in our 2025 annual report and confirms that the ethical floor of resume integrity has shifted.

Across the strong-base generations, millennials are the most willing (52%, 146 of 280), against Gen X at 25% (46 of 184). By career level, mid-career workers lead (48%, 106 of 219), against senior at 34% (64 of 187). Men are more open than women (47%, 107 of 228 vs 39%, 121 of 307). The pattern, combined with the AI rejection rate, reveals the loop hiring teams now face. AI screens resumes. Resumes get sharper to beat the screen. The screen tightens. Workers escalate. Hiring teams escalate. There are signs of a vicious cycle begining.

The Pressure on the Candidate Side

Nearly Half of Job Seekers Have Less Than 3 Months of Runway

250 of 549 respondents (46%) say they could survive less than three months without a job. 101 (18%) have less than one month of runway. 149 (27%) have one to three months. 140 (25%) have four to six months. 87 (16%) have six to twelve months. Only 72 respondents (13%) report more than a year. The fragile-bottom share grew two percentage points from the 2025 baseline while the median search length rose by 30%. More job seekers are spending longer searches with less savings.

Employed-and-searching respondents (n=123) have the lowest runway among the employment groups with strong bases: 57% (70 of 123) have less than three months even though they are still drawing a paycheck. The pattern suggests that employed-but-searching workers are searching from a position of underlying financial fragility, not from a position of strength.

Across all unemployed respondents (n=261), 86% (234) report at least one form of financial hardship from the search, including 35% (96) who have drained their emergency savings, 20% (54) who have skipped medical or dental care due to cost, and 18% (48) who have dipped into retirement savings.

71% of Job Seekers Lowered Their Salary Expectations in 2026

391 of 550 respondents (71%) say they lowered the salary they expect in 2026. 159 (29%) did not. Cumulatively, 18% of respondents (97) cut their expectations by $20,000 or more. 9% (52) cut by $30,000 or more. Among the two strong-base career groups, senior workers swallowed deeper cuts than mid-career: 21% of senior respondents (39 of 187) lowered by $20,000 or more, against 10% of mid-career (23 of 219).

The pattern compounds the offer-withdrawal finding. The workers most likely to have an offer pulled (mid-career professionals) are also the workers walking into the next round of interviews with lower salary expectations. The market is pricing the same labor lower on both ends of the negotiation.

72% of Job Seekers Hide Information on Their Resume to Avoid Discrimination

403 of 560 respondents (72%) say they have removed or hidden information from their resume to avoid discrimination. The most common item hidden is graduation dates (44%, 245), used to obscure age. Work experience to look less overqualified comes next at 38% (210), followed by employment gaps (23%, 130), disability or health condition (10%, 55), a non-English or ethnic name (4%, 20), and visa or sponsorship status (3%, 18). All subcategory percentages are computed against the full n=560 respondent base.

The same pattern shows up in employment gaps: 30% of women (94 of 311) hide gaps, against 14% of men (33 of 236). Women in our sample are more than twice as likely as men to hide a gap. When we asked respondents to name the reason for their gap, 175 of 555 (32%) said they had been laid off and 41 (7%) said they were caring for a child or family member

Gen X hide the most resume information: 84% of Gen X respondents (157 of 186) said they hid at least one item, including 46% (85) who hide work experience to look less overqualified, the highest rate of any generation with a strong base. The hiding tactic produces a measurable lift in interview rate in our resume data, which is why it persists.

The Behavior Versus the Outcome

85% Spend Their Time on Online Applications, But Networkers Land Interviews Faster

471 of 555 respondents (85%) say they spend most of their search time on online applications. Only 84 (15%) spend most of their time networking. The split holds across generations, industries, career levels, and search lengths.

The outcome data points in the opposite direction. Among the 503 respondents who landed at least one interview, 38% got it through a referral: 14% (69) through an employee referral, 13% (66) through a recruiter who reached out, and 12% (58) through networking. The other 62% (310) applied online.

The Quarter, in Twelve Numbers

The shortest version of the survey: nearly every job seeker has seen or suspects a ghost job. Most have encountered a scam. Most have been rejected by an AI. Most use AI tools every day. Half have less than three months of runway. Half are very or extremely worried about a recession. A third faced an illegal interview question. One in five lost a job to AI in 2026. One in five had an offer pulled in Q1 alone. Three in four lowered their salary expectations.

The picture is one of compounding pressure on the candidate side, an arms race in AI on both sides of the table, and a hiring process that has stopped functioning as a trusted signal for either party.

About Huntr

Huntr is the resume builder, job search tracker, and tailoring platform used by more than 500,000 job seekers. To date, we have analyzed more than 2.7 million tracked job entries and 418,400 resumes. Sam Wright leads career strategy at Huntr and has run more than 750 free one-on-one support calls with job seekers across every industry and experience level.

For press inquiries, embargoed data, or quotes, reach Sam Wright at [email protected] or on LinkedIn.