Most applicant tracking systems do not automatically reject resumes, and applications that are removed without human review are removed by rules an employer switched on rather than by software judging your resume. Greenhouse tells candidates that applications land in a queue and are reviewed by real people in the order received, and that its AI does not score or rank applications or decide whether you move forward [1]. The genuine exception is the knockout question, where an employer wires a yes or no question to a rejection rule so a disqualifying answer about work authorization, licensure, or minimum experience ends the application immediately, sometimes with an automatic rejection email [2][3][4]. Keyword search and AI grading are a separate matter, because they change which applications a recruiter opens first and can bury a qualified candidate without formally rejecting them [6][8]. The claim that 75 percent of resumes are rejected before a human sees them traces to a 2012 vendor sales pitch with no published methodology [9].
\n","summary":"An applicant tracking system is mainly a database and workflow tool. It can auto-reject on knockout questions the employer configured, and parsing errors or ranking can quietly push an application down the queue, but blanket automatic rejection is not how most systems work. The 75 percent auto-rejection figure has no traceable source. Recruiter capacity explains most silence: applications per job rose 111 percent from 2022 to 2025 while recruiting teams shrank by more than half.","publishedAt":"2026-07-21T20:46:55.96","verifiedAt":"2026-07-21T00:00:00","editorialStatus":"APPROVED","lastReviewedAt":"2026-07-21T00:00:00","nextReviewDueAt":"2026-10-21T00:00:00","templateVersion":"v2","aliases":["Does an ATS automatically reject resumes?","Do applicant tracking systems screen out resumes before a human reads them?","Is my resume rejected by a robot?","Does a human ever see my job application?","Can an ATS auto-reject my application?","Do 75% of resumes get rejected by an ATS?","Does AI reject resumes before a recruiter sees them?","What actually happens to my resume after I apply online?","Do applicant tracking systems filter resumes by keywords?","Are job applications rejected automatically?","Does an ATS throw out resumes with unusual formatting?","Who actually decides to reject my application?"],"confidenceScore":86,"confidenceLabel":"High","canonicalUrl":null},"contributor":{"id":"ec39deab-44fe-48d8-9029-fefe993ab85a","slug":"answer-stack","displayName":"AnswerStack","websiteUrl":null},"contributorOrganizationProfile":{"entityId":"ec39deab-44fe-48d8-9029-fefe993ab85a","legalName":null,"description":null,"websiteUrl":null,"imageUrl":null,"slogan":null,"subtitle":null,"facts":[],"coiNote":null,"foundingDate":null,"numberOfEmployeesText":null,"contactPoint":null,"address":null,"headquartersText":null,"organizationType":null},"contributorPerson":{"slug":"answerstack-editorial-team","displayName":"AnswerStack Editorial Team"},"sections":[{"id":"92f57797-ae47-4366-9de7-cd746fc6b738","sectionKey":"how_it_works","sectionType":"markdown_section","heading":"What does an applicant tracking system actually do with your resume?","introMarkdown":"An applicant tracking system is a database and a workflow tool. It stores the application, attaches your resume to a candidate record, pulls what text it can into structured fields, and gives recruiters somewhere to review and advance candidates [1][5]. Rejection is a status inside that workflow, and in most configurations a person sets it.\n\nGreenhouse tells candidates that applications go into a queue on a recruiter's dashboard and are usually reviewed by real people in the order received, and that its AI \"doesn't score or rank applications, nor does it make any decisions about whether or not you move forward\" [1]. Workday takes a different position on scoring and sells HiredScore AI for Recruiting, which grades candidates against the role and surfaces the strongest matches to the recruiter [6]. Both statements are accurate about their own products, which is why any sentence beginning \"the ATS does\" is too broad to be useful.\n\n### Four different things get called rejection\n\nMost of the confusion here comes from four mechanisms sharing one word. Parsing extracts text from your file into database fields. Screening is a rule acting on an answer you typed into the form. Ranking is a sort order deciding whose application sits near the top of a recruiter's list. Rejection is the status change that ends your candidacy. A failed parse leaves your record thin without touching your status, and a low rank can leave you unread while your application stays open, so neither is a rejection even though both feel like one. Automatic rejection is real but narrow and employer-controlled, and the more common outcome is that nobody opened your application [7].","introHtml":"An applicant tracking system is a database and a workflow tool. It stores the application, attaches your resume to a candidate record, pulls what text it can into structured fields, and gives recruiters somewhere to review and advance candidates [1][5]. Rejection is a status inside that workflow, and in most configurations a person sets it.
\nGreenhouse tells candidates that applications go into a queue on a recruiter's dashboard and are usually reviewed by real people in the order received, and that its AI "doesn't score or rank applications, nor does it make any decisions about whether or not you move forward" [1]. Workday takes a different position on scoring and sells HiredScore AI for Recruiting, which grades candidates against the role and surfaces the strongest matches to the recruiter [6]. Both statements are accurate about their own products, which is why any sentence beginning "the ATS does" is too broad to be useful.
\nMost of the confusion here comes from four mechanisms sharing one word. Parsing extracts text from your file into database fields. Screening is a rule acting on an answer you typed into the form. Ranking is a sort order deciding whose application sits near the top of a recruiter's list. Rejection is the status change that ends your candidacy. A failed parse leaves your record thin without touching your status, and a low rank can leave you unread while your application stays open, so neither is a rejection even though both feel like one. Automatic rejection is real but narrow and employer-controlled, and the more common outcome is that nobody opened your application [7].
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":10},{"id":"789b846a-7b5f-463b-994e-b31f0e4ff059","sectionKey":"mechanism_table","sectionType":"table_section","heading":"Which parts of the process can remove you without a human looking?","introMarkdown":"Several mechanisms get blamed on the applicant tracking system, and only one ends an application by itself.","introHtml":"Several mechanisms get blamed on the applicant tracking system, and only one ends an application by itself.
\n","outroMarkdown":"The two mechanisms you have the most influence over, parsing and ranking, never formally reject you. Because they produce silence instead of a rejection email, they are easy to mistake for one.","outroHtml":"The two mechanisms you have the most influence over, parsing and ranking, never formally reject you. Because they produce silence instead of a rejection email, they are easy to mistake for one.
\n","contentJson":{"rows":[{"cells":["Resume parsing","Text is pulled into name, employer, title, and date fields; a failed parse leaves the resume attached but the fields empty [5]","No, though a garbled record is harder to find in search","The vendor's parser and your file"]},{"cells":["Knockout questions","A yes or no question is wired to a rejection rule, so a disqualifying answer changes your status immediately [2][3][4]","Yes. This is the real automatic rejection","The employer, configured question by question"]},{"cells":["Keyword search and filters","Recruiters filter the pool on credentials, titles, or employment history to decide who to read first [8]","No, though applications outside the filter may never be opened","The recruiter on the requisition"]},{"cells":["AI grading and ranking","Applicants are scored against the requisition and sorted so the strongest matches sit at the top of the inbox [6]","Not in the systems documented here, where the grade informs a human rather than replaces one","The employer's vendor and settings"]},{"cells":["Recruiter review","A person opens the application, reads it, and sets a status","No. This is the human step, where most rejections happen","The recruiter and the hiring manager"]}],"columns":["Mechanism","What happens","Can it end your application with no human review?","Who controls it"]},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":20},{"id":"9d708057-971a-40a6-b30d-d0123d6aaf32","sectionKey":"parsing","sectionType":"markdown_section","heading":"What does resume parsing do, and can a parse failure sink you?","introMarkdown":"Parsing copies text out of your resume file into structured database fields, and when it fails the application still exists with empty or wrong fields. Greenhouse documents the causes: files larger than 2.5MB, resumes uploaded as an image rather than a document, spaces between letters, graphics, word art, tables, headers and footers, columned layouts, and contact details inside a header, footer, or text box [5]. When the parse fails, the resume \"has only been attached to the candidate\" and someone has to type your details in by hand [5].\n\nNone of that rejects you. The record simply carries less searchable text, which matters because a recruiter working through several hundred applications searches and filters rather than reading every file [7][8]. If your skills never made it into the indexed text, you are harder to surface in that search, and that is a quieter failure than being rejected.\n\nThe useful action is narrow: submit a single-column document with your contact details in the body instead of the header, keep the file well under 2.5MB, and skip scanned images [5]. A sibling answer covers resume formatting in more depth.","introHtml":"Parsing copies text out of your resume file into structured database fields, and when it fails the application still exists with empty or wrong fields. Greenhouse documents the causes: files larger than 2.5MB, resumes uploaded as an image rather than a document, spaces between letters, graphics, word art, tables, headers and footers, columned layouts, and contact details inside a header, footer, or text box [5]. When the parse fails, the resume "has only been attached to the candidate" and someone has to type your details in by hand [5].
\nNone of that rejects you. The record simply carries less searchable text, which matters because a recruiter working through several hundred applications searches and filters rather than reading every file [7][8]. If your skills never made it into the indexed text, you are harder to surface in that search, and that is a quieter failure than being rejected.
\nThe useful action is narrow: submit a single-column document with your contact details in the body instead of the header, keep the file well under 2.5MB, and skip scanned images [5]. A sibling answer covers resume formatting in more depth.
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":30},{"id":"305e8958-f57c-4ccf-9c4e-ae2ad58d3c99","sectionKey":"knockout_questions","sectionType":"markdown_section","heading":"Which parts of an application genuinely auto-reject you?","introMarkdown":"Knockout questions are the real automatic rejection, and they act on the answers you type into the form rather than on anything in your resume. In Greenhouse an administrator picks a yes/no, single-select, or multi-select question on the job post, chooses which response should disqualify, and turns on auto-reject; candidates who give that response \"will now be auto-rejected,\" with an optional rejection reason and email attached [2]. The feature sits on the Plus and Pro tiers and is set up one question at a time, so it applies only where an employer built the rule [2].\n\nWorkable works the same way with a narrower trigger. Knock-out questions there are supported only for yes/no questions and fire on a \"No\" answer, and a disqualified applicant still gets the usual confirmation email while being filed under a Disqualified tab where the recruiter can see which question caused it [3]. Workable's documentation states that \"the candidate does not know that they have been disqualified\" [3], so an application can be closed while looking, from your side, exactly like one still under review.\n\nLinkedIn applies the same pattern, where a screening question can be marked as a must-have qualification and the poster can choose to automatically archive candidates who fail it and send an automatic rejection email [4].\n\nThe questions that usually carry these rules are hard requirements: work authorization and visa sponsorship, a professional license, a minimum number of years in a named skill, willingness to work onsite, and ability to pass a background check. Answer them accurately even when the answer costs you the role, because an inflated answer tends to surface later during verification, and a genuine \"no\" on a legal requirement was never something a better resume would have fixed.","introHtml":"Knockout questions are the real automatic rejection, and they act on the answers you type into the form rather than on anything in your resume. In Greenhouse an administrator picks a yes/no, single-select, or multi-select question on the job post, chooses which response should disqualify, and turns on auto-reject; candidates who give that response "will now be auto-rejected," with an optional rejection reason and email attached [2]. The feature sits on the Plus and Pro tiers and is set up one question at a time, so it applies only where an employer built the rule [2].
\nWorkable works the same way with a narrower trigger. Knock-out questions there are supported only for yes/no questions and fire on a "No" answer, and a disqualified applicant still gets the usual confirmation email while being filed under a Disqualified tab where the recruiter can see which question caused it [3]. Workable's documentation states that "the candidate does not know that they have been disqualified" [3], so an application can be closed while looking, from your side, exactly like one still under review.
\nLinkedIn applies the same pattern, where a screening question can be marked as a must-have qualification and the poster can choose to automatically archive candidates who fail it and send an automatic rejection email [4].
\nThe questions that usually carry these rules are hard requirements: work authorization and visa sponsorship, a professional license, a minimum number of years in a named skill, willingness to work onsite, and ability to pass a background check. Answer them accurately even when the answer costs you the role, because an inflated answer tends to surface later during verification, and a genuine "no" on a legal requirement was never something a better resume would have fixed.
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":40},{"id":"babc33a1-d458-493e-8f3b-8b6f9cfb5adf","sectionKey":"search_and_ranking","sectionType":"markdown_section","heading":"How does keyword search or AI ranking bury an application without rejecting it?","introMarkdown":"Ranking and filtering change the order in which a recruiter meets your application, and one near the bottom of a long queue often gets no review while its status stays open. Harvard Business School's Project on Managing the Future of Work, with Accenture, surveyed 2,275 executives across the United States, United Kingdom, and Germany and found more than 90 percent used their recruiting system to initially filter or rank candidates, 94 percent for middle-skills roles and 92 percent for high-skills roles [8].\n\nThat research also shows where the filters cut hardest. About 48 percent of employers filtered middle-skills candidates on employment gaps longer than six months, so an applicant who stepped away for illness or caregiving could be screened out on that single variable, and in the report's words \"a recruiter will never see that candidate's application\" [8]. The same survey found 88 percent of employers agreed qualified high-skills candidates were vetted out for not matching the exact criteria in the job description, rising to 94 percent for middle-skills workers [8]. That survey ran in early 2020 and captures employer belief and configuration rather than a measured rejection rate, so read it as evidence that aggressive filtering is normal, not as a percentage of resumes discarded.\n\nAI grading belongs in this category rather than in the rejection category. Workday's HiredScore AI for Recruiting grades candidates against the role and places top matches in a spotlight inbox [6]. A low grade is not a rejection, but on a requisition with several hundred applicants the effect is similar, because attention runs out before the list does.","introHtml":"Ranking and filtering change the order in which a recruiter meets your application, and one near the bottom of a long queue often gets no review while its status stays open. Harvard Business School's Project on Managing the Future of Work, with Accenture, surveyed 2,275 executives across the United States, United Kingdom, and Germany and found more than 90 percent used their recruiting system to initially filter or rank candidates, 94 percent for middle-skills roles and 92 percent for high-skills roles [8].
\nThat research also shows where the filters cut hardest. About 48 percent of employers filtered middle-skills candidates on employment gaps longer than six months, so an applicant who stepped away for illness or caregiving could be screened out on that single variable, and in the report's words "a recruiter will never see that candidate's application" [8]. The same survey found 88 percent of employers agreed qualified high-skills candidates were vetted out for not matching the exact criteria in the job description, rising to 94 percent for middle-skills workers [8]. That survey ran in early 2020 and captures employer belief and configuration rather than a measured rejection rate, so read it as evidence that aggressive filtering is normal, not as a percentage of resumes discarded.
\nAI grading belongs in this category rather than in the rejection category. Workday's HiredScore AI for Recruiting grades candidates against the role and places top matches in a spotlight inbox [6]. A low grade is not a rejection, but on a requisition with several hundred applicants the effect is similar, because attention runs out before the list does.
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":50},{"id":"95bb11cc-e332-4d9f-96a5-ebce7e3a7792","sectionKey":"human_review","sectionType":"markdown_section","heading":"If software is not rejecting you, why do you never hear back?","introMarkdown":"Application volume grew much faster than recruiting capacity, and that gap explains most of the silence. Greenhouse analyzed more than 640 million applications across over 6,000 companies from 2022 through 2025 and found the average job opening went from 116 applications in 2022 to 244 in 2025, an increase of 111 percent [7]. Over the same stretch the average recruiter's annual load climbed from 146 applications to 746, up 412 percent, while the average recruiting team shrank from 10.43 people to 4.62 [7].\n\nA recruiter carrying 746 applications a year with less than half their 2022 team is not opening all of them. Greenhouse says as much to candidates, noting that when a role is popular, recruiters may filter the queue rather than work through it [1]. That is a human decision made under a workload constraint, and it produces the same experience as an automated rejection while being a different thing entirely.\n\nThe distinction changes what you do next. A software rejection would call for a technical fix, something about your file or your phrasing. An application a recruiter never reached calls for timing and access instead, meaning applying early in a posting's life while the queue is short and finding someone inside the company who can put your record in front of the hiring manager.","introHtml":"Application volume grew much faster than recruiting capacity, and that gap explains most of the silence. Greenhouse analyzed more than 640 million applications across over 6,000 companies from 2022 through 2025 and found the average job opening went from 116 applications in 2022 to 244 in 2025, an increase of 111 percent [7]. Over the same stretch the average recruiter's annual load climbed from 146 applications to 746, up 412 percent, while the average recruiting team shrank from 10.43 people to 4.62 [7].
\nA recruiter carrying 746 applications a year with less than half their 2022 team is not opening all of them. Greenhouse says as much to candidates, noting that when a role is popular, recruiters may filter the queue rather than work through it [1]. That is a human decision made under a workload constraint, and it produces the same experience as an automated rejection while being a different thing entirely.
\nThe distinction changes what you do next. A software rejection would call for a technical fix, something about your file or your phrasing. An application a recruiter never reached calls for timing and access instead, meaning applying early in a posting's life while the queue is short and finding someone inside the company who can put your record in front of the hiring manager.
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":60},{"id":"63fbb871-9434-4722-a820-cb7caec6aac2","sectionKey":"myths","sectionType":"markdown_section","heading":"Which popular claims about applicant tracking systems do not hold up?","introMarkdown":"### The claim that 75 percent of resumes are rejected before a human sees them\n\nNo published study supports this figure. It traces to a 2012 sales pitch from a company called Preptel, which sold resume optimization services and dissolved the following year without ever publishing a methodology, a sample size, or a dataset [9]. Searches of the academic literature for an ATS rejection rate turn up nothing supporting it [9]. The number survives because it now cites itself, and because the businesses repeating it sell resume services.\n\n### The claim that hiding keywords in white text gets you through\n\nHidden text is one of the easier things for a recruiter to catch, because parsing strips the formatting and drops the extracted words into the candidate record. Jobscan's walkthrough shows repeated hidden instances of a keyword appearing plainly once the resume has been parsed into the system, and calls the tactic \"one of the quickest ways to burn a bridge with a recruiter\" [10]. Parsing is exactly what makes the invisible words visible.\n\n### The claim that any design or unusual formatting kills your resume\n\nFormatting problems degrade parsing rather than trigger rejection, and the list of things that actually break a parse is short and published [5]. A restrained color header or a nonstandard font is not on it, and a resume that fails to parse still reaches the employer as an attached file [5].\n\n### What an applicant tracking system is not\n\nIt is not, in most deployments, an algorithm that reads your resume and judges you [1]. It is not a shared blacklist, since each employer runs its own instance with its own data. It is not the same thing as an AI interview or an online assessment, which are separate products attached later, and it is not the reason most applications go unanswered [7].","introHtml":"No published study supports this figure. It traces to a 2012 sales pitch from a company called Preptel, which sold resume optimization services and dissolved the following year without ever publishing a methodology, a sample size, or a dataset [9]. Searches of the academic literature for an ATS rejection rate turn up nothing supporting it [9]. The number survives because it now cites itself, and because the businesses repeating it sell resume services.
\nHidden text is one of the easier things for a recruiter to catch, because parsing strips the formatting and drops the extracted words into the candidate record. Jobscan's walkthrough shows repeated hidden instances of a keyword appearing plainly once the resume has been parsed into the system, and calls the tactic "one of the quickest ways to burn a bridge with a recruiter" [10]. Parsing is exactly what makes the invisible words visible.
\nFormatting problems degrade parsing rather than trigger rejection, and the list of things that actually break a parse is short and published [5]. A restrained color header or a nonstandard font is not on it, and a resume that fails to parse still reaches the employer as an attached file [5].
\nIt is not, in most deployments, an algorithm that reads your resume and judges you [1]. It is not a shared blacklist, since each employer runs its own instance with its own data. It is not the same thing as an AI interview or an online assessment, which are separate products attached later, and it is not the reason most applications go unanswered [7].
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":70},{"id":"a6dd1896-e261-498f-b34b-6ad1117c40f9","sectionKey":"regulation","sectionType":"markdown_section","heading":"Is automated resume screening regulated?","introMarkdown":"Automated hiring tools are regulated in a growing number of jurisdictions, though the rules govern an employer's disclosure and testing obligations rather than giving you a right to a human reviewer. This is general information and not legal advice.\n\nNew York City's Local Law 144 covers automated employment decision tools, which the city describes as a computer-based tool used to screen job candidates or assess employees [11]. An employer using one on New York City candidates has to make sure a bias audit was done first, post a summary of the results on its website, notify candidates that the tool will be used to assess them, and give instructions for requesting a reasonable accommodation [11]. If you applied to a New York City role, that published audit summary is something you can go read.\n\nIllinois amended its Human Rights Act effective January 1, 2026. Section 2-102(L) makes it a violation for an employer \"to use artificial intelligence that has the effect of subjecting employees to discrimination on the basis of protected classes under this Article or to use zip codes as a proxy for protected classes,\" and separately to fail to notify an employee that artificial intelligence is being used for those purposes [12]. Illinois also has an older, narrower statute, the Artificial Intelligence Video Interview Act, requiring notice, an explanation of how the artificial intelligence works, and written consent before AI analyzes a recorded video interview [13].\n\nColorado's position is unsettled. The Colorado AI Act, SB 24-205, would have covered artificial intelligence used in consequential decisions including employment, but on April 27, 2026 a federal court granted a joint motion temporarily suspending enforcement after xAI sued the state and the U.S. Department of Justice moved to intervene [14]. Verify its status before relying on it, since amendment and replacement were both live possibilities [14].","introHtml":"Automated hiring tools are regulated in a growing number of jurisdictions, though the rules govern an employer's disclosure and testing obligations rather than giving you a right to a human reviewer. This is general information and not legal advice.
\nNew York City's Local Law 144 covers automated employment decision tools, which the city describes as a computer-based tool used to screen job candidates or assess employees [11]. An employer using one on New York City candidates has to make sure a bias audit was done first, post a summary of the results on its website, notify candidates that the tool will be used to assess them, and give instructions for requesting a reasonable accommodation [11]. If you applied to a New York City role, that published audit summary is something you can go read.
\nIllinois amended its Human Rights Act effective January 1, 2026. Section 2-102(L) makes it a violation for an employer "to use artificial intelligence that has the effect of subjecting employees to discrimination on the basis of protected classes under this Article or to use zip codes as a proxy for protected classes," and separately to fail to notify an employee that artificial intelligence is being used for those purposes [12]. Illinois also has an older, narrower statute, the Artificial Intelligence Video Interview Act, requiring notice, an explanation of how the artificial intelligence works, and written consent before AI analyzes a recorded video interview [13].
\nColorado's position is unsettled. The Colorado AI Act, SB 24-205, would have covered artificial intelligence used in consequential decisions including employment, but on April 27, 2026 a federal court granted a joint motion temporarily suspending enforcement after xAI sued the state and the U.S. Department of Justice moved to intervene [14]. Verify its status before relying on it, since amendment and replacement were both live possibilities [14].
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":null,"noteHtml":null,"sortOrder":80},{"id":"e2e407b1-611a-48e9-8d69-cfdbd6d61008","sectionKey":"contributor_perspective","sectionType":"markdown_section","heading":"How this answer was researched","introMarkdown":"This answer was built from vendor help documentation, statutory text, and published survey research rather than from secondary summaries, because this question attracts an unusual volume of confident, unsourced advice aimed at job seekers. Every mechanical claim about automatic rejection comes from the documentation of a system that implements the feature, so the behavior described can be checked by anyone with that product. The legal material cites the statute or the issuing agency directly, with one dated secondary account used only where active litigation made a law's status hard to read from the statute alone.\n\nRecruiters, talent acquisition leaders, and applicant tracking system vendors are invited to correct or extend this record, particularly on how often auto-reject rules are switched on in practice and how AI grading is configured in specific products, since public data on both is thin.","introHtml":"This answer was built from vendor help documentation, statutory text, and published survey research rather than from secondary summaries, because this question attracts an unusual volume of confident, unsourced advice aimed at job seekers. Every mechanical claim about automatic rejection comes from the documentation of a system that implements the feature, so the behavior described can be checked by anyone with that product. The legal material cites the statute or the issuing agency directly, with one dated secondary account used only where active litigation made a law's status hard to read from the statute alone.
\nRecruiters, talent acquisition leaders, and applicant tracking system vendors are invited to correct or extend this record, particularly on how often auto-reject rules are switched on in practice and how AI grading is configured in specific products, since public data on both is thin.
\n","outroMarkdown":null,"outroHtml":null,"contentJson":{},"configJson":{},"noteMarkdown":"This answer was written and reviewed by the AnswerStack Editorial Team, which has no commercial stake in the products, companies, or methods discussed. Every claim is cited inline and verified on the dates shown.","noteHtml":"This answer was written and reviewed by the AnswerStack Editorial Team, which has no commercial stake in the products, companies, or methods discussed. Every claim is cited inline and verified on the dates shown.
\n","sortOrder":90}],"citations":[{"title":"What really happens after you apply for a job","url":"https://my.greenhouse.com/blogs/what-really-happens-after-you-apply-for-a-job","excerpt":"AI doesn't score or rank applications, nor does it make any decisions about whether or not you move forward.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Applications enter a recruiter queue and are reviewed by people one by one; Greenhouse AI does not score, rank, or decide advancement; recruiters may filter the queue when a role is popular","domain":"my.greenhouse.com","publisherName":"Greenhouse"},{"title":"Auto-reject","url":"https://support.greenhouse.io/hc/en-us/articles/360000653472-Auto-reject","excerpt":"Candidates who respond to the question with the designated response will now be auto-rejected.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Auto-reject is configured per question by an admin, works only with yes/no, single-select and multi-select questions, can attach a rejection reason and rejection email, and is available on Plus and Pro tiers","domain":"support.greenhouse.io","publisherName":"Greenhouse Support"},{"title":"Auto-disqualify candidates using application form questions","url":"https://help.workable.com/hc/en-us/articles/115012238688-Auto-disqualify-candidates-using-application-form-questions","excerpt":"The candidate does not know that they have been disqualified.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Knock-out questions are supported only for yes/no questions, fire on a No answer, place the candidate in a Disqualified tab visible to the recruiter, and do not tell the candidate","domain":"help.workable.com","publisherName":"Workable"},{"title":"Add screening questions to your job post","url":"https://www.linkedin.com/help/linkedin/answer/a519651/add-screening-questions-to-your-job-post","excerpt":"You can also choose to automatically archive candidates who don't pass your screening questions and send an automatic rejection email.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Screening questions can be flagged as must-have qualifications, and the job poster can automatically archive candidates who fail them and send an automatic rejection email","domain":"linkedin.com","publisherName":"LinkedIn Help"},{"title":"Unsuccessful resume parse","url":"https://support.greenhouse.io/hc/en-us/articles/200989175-Unsuccessful-resume-parse","excerpt":"Greenhouse Recruiting can't parse resumes larger than 2.5MB.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Causes of parse failure including 2.5MB limit, image uploads, spaced letters, graphics, word art, tables, headers and footers, columned layouts, and contact details in a header or text box; failed parses leave the resume attached for manual entry","domain":"support.greenhouse.io","publisherName":"Greenhouse Support"},{"title":"HiredScore AI for Recruiting","url":"https://www.workday.com/en-us/products/talent-management/ai-recruiting.html","excerpt":"Spotlight inbox identifies top talent fairly and efficiently through unbiased, AI-driven candidate grading.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"AI-driven candidate grading and a spotlight inbox that surfaces top-fit candidates to recruiters, positioned as assistance to a human reviewer rather than an autonomous decision","domain":"workday.com","publisherName":"Workday"},{"title":"Hiring benchmarks 2026: recruiting metrics and trends","url":"https://www.greenhouse.com/recruiting-benchmarks","excerpt":"Data from over 6,000 companies and over 640M applications between 2022 to 2025.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Applications per job 116 in 2022 to 244 in 2025 (+111%); applications per recruiter 146 to 746 (+412%); recruiting team size 10.43 to 4.62 (-56%); dataset of 6,000+ companies and 640M+ applications, 2022 to 2025","domain":"greenhouse.com","publisherName":"Greenhouse"},{"title":"Hidden Workers: Untapped Talent (September 2021)","url":"https://www.hbs.edu/ris/Publication%20Files/hiddenworkers09032021_Fuller_white_paper_33a2047f-41dd-47b1-9a8d-bd08cf3bfa94.pdf","excerpt":"A large majority (88%) of employers agree, telling us that qualified high-skills candidates are vetted out of the process because they do not match the exact criteria established by the job description. That number rose to 94% in the case of middle-skills workers.","quoteText":null,"sourceRole":"INDEPENDENT","verifiedAt":"2026-07-21T00:00:00","supportsText":"Survey of 2,275 executives across the US, UK and Germany; 94% and 92% use recruiting systems to filter or rank middle-skills and high-skills candidates; 48% filter on employment gaps over six months; 88% and 94% agree qualified candidates are vetted out for not matching exact job description criteri","domain":"hbs.edu","publisherName":"Harvard Business School Project on Managing the Future of Work, with Accenture"},{"title":"The ATS Resume Rejection Myth: Why the '75% of Resumes Never Get Seen' Claim Is Wrong","url":"https://blog.theinterviewguys.com/ats-resume-rejection-myth/","excerpt":"The widely cited '75% rejection rate' originated from a 2012 sales pitch by a company called Preptel, which was selling resume optimization services.","quoteText":null,"sourceRole":"INDEPENDENT","verifiedAt":"2026-07-21T00:00:00","supportsText":"The 75 percent figure traces to a 2012 Preptel sales pitch, no methodology was published, the company dissolved the following year, and no academic research supports the number","domain":"blog.theinterviewguys.com","publisherName":"The Interview Guys"},{"title":"Are you guilty of resume keyword stuffing?","url":"https://www.jobscan.co/blog/resume-keyword-stuffing/","excerpt":"Resume keyword stuffing with hidden text is easily spotted and one of the quickest ways to burn a bridge with a recruiter.","quoteText":null,"sourceRole":"INDEPENDENT","verifiedAt":"2026-07-21T00:00:00","supportsText":"Hidden white-text keywords become plainly visible once the resume is parsed into the system, and recruiters treat the tactic as a red flag","domain":"jobscan.co","publisherName":"Jobscan"},{"title":"Automated Employment Decision Tools","url":"https://portal.311.nyc.gov/article/?kanumber=KA-03552","excerpt":"An automated employment decision tool (AEDT) is a computer-based tool. It is used to screen job candidates or assess employees.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Definition of an automated employment decision tool and the Local Law 144 obligations: bias audit before use, public posting of audit results, notice to candidates and employees, and accommodation instructions","domain":"portal.311.nyc.gov","publisherName":"City of New York (NYC311)"},{"title":"Illinois Human Rights Act, 775 ILCS 5/2-102(L)","url":"https://www.ilga.gov/legislation/ILCS/details?MajorTopic=&Chapter=&ActName=Illinois+Human+Rights+Act.&ActID=2266&ChapterID=64&ChapAct=775+ILCS+5%2F&SeqStart=600000&SeqEnd=1800000","excerpt":"For an employer to use artificial intelligence that has the effect of subjecting employees to discrimination on the basis of protected classes under this Article or to use zip codes as a proxy for protected classes under this Article.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Statutory text prohibiting employer use of artificial intelligence that has a discriminatory effect, prohibiting zip codes as a proxy for protected classes, and requiring notice of AI use","domain":"ilga.gov","publisherName":"Illinois General Assembly"},{"title":"Artificial Intelligence Video Interview Act, 820 ILCS 42","url":"https://www.ilga.gov/Legislation/ILCS/Articles?ActID=4015&ChapterID=68&Print=True","excerpt":"An employer may not use artificial intelligence to evaluate applicants who have not consented.","quoteText":null,"sourceRole":"PRIMARY","verifiedAt":"2026-07-21T00:00:00","supportsText":"Notice, explanation and written consent requirements before AI analyzes a recorded video interview, plus limits on sharing and a deletion right","domain":"ilga.gov","publisherName":"Illinois General Assembly"},{"title":"X.AI sues, DOJ intervenes, enforcement of Colorado's AI Act suspended","url":"https://www.nortonrosefulbright.com/en-us/knowledge/publications/de3ad9de/xai-sues-doj-intervenes-enforcement-of-colorado-ai-act-suspended","excerpt":"This is the first time that the DOJ has sought to intervene in a lawsuit challenging a state AI law.","quoteText":null,"sourceRole":"INDEPENDENT","verifiedAt":"2026-07-21T00:00:00","supportsText":"On April 27, 2026 a federal court granted a joint motion suspending enforcement of Colorado SB 24-205 after xAI filed suit and the DOJ moved to intervene on April 24, 2026; amendment or replacement remained possible","domain":"nortonrosefulbright.com","publisherName":"Norton Rose Fulbright"}],"revisions":[],"relatedAnswers":[{"id":"16031afa-f1b4-48f0-a1d5-02aee75c7ab0","slug":"applicant-tracking-system-worth-it-or-can-i-hire","question":"Is an applicant tracking system worth it, or can I hire without one?","publishedAt":"2026-07-21T20:47:06.493","confidenceScore":88,"confidenceLabel":"High","industry":{"id":"e1a1da3c-52a8-4e99-88ad-d08ef17d7c3f","slug":"hr-technology","label":"HR Technology","description":"ATS, HRIS, payroll, and workforce management"},"topic":{"slug":"recruiting-applicant-tracking","label":"Recruiting & Applicant Tracking","description":"ATS, Recruiting CRM, Recruitment Marketing & Sourcing, Resume Parsing, Interview Scheduling, Video Interviewing","schemaKind":null},"contributor":{"id":"ec39deab-44fe-48d8-9029-fefe993ab85a","slug":"answer-stack","displayName":"AnswerStack","websiteUrl":null},"snippet":"Manual hiring out of an inbox and a spreadsheet is viable for roughly one to five openings a year with a single decision maker. It gets expensive once applicant counts climb, several interviewers need the same view, or you have to reproduce dated hiring records.","url":"/q/applicant-tracking-system-worth-it-or-can-i-hire"},{"id":"0121c7a2-3ec2-4c62-8508-3f2193d94ef4","slug":"recruiting-stack-integrate-ats-crm-interview-scheduling-and-job","question":"Does the recruiting stack integrate: ATS, CRM, interview scheduling, and job boards?","publishedAt":"2026-07-21T20:47:04.008","confidenceScore":88,"confidenceLabel":"High","industry":{"id":"e1a1da3c-52a8-4e99-88ad-d08ef17d7c3f","slug":"hr-technology","label":"HR Technology","description":"ATS, HRIS, payroll, and workforce management"},"topic":{"slug":"recruiting-applicant-tracking","label":"Recruiting & Applicant Tracking","description":"ATS, Recruiting CRM, Recruitment Marketing & Sourcing, Resume Parsing, Interview Scheduling, Video Interviewing","schemaKind":null},"contributor":{"id":"ec39deab-44fe-48d8-9029-fefe993ab85a","slug":"answer-stack","displayName":"AnswerStack","websiteUrl":null},"snippet":"Every mainstream ATS connects to job boards, calendars, and downstream vendors, but each connection uses a different mechanism and fails differently. Job feeds refresh on the board's crawl schedule rather than instantly, scheduling accuracy depends on each interviewer connecting a calendar, and source attribution survives only if the tracking token survives the click path. Duplicate candidate records are the most common reason data stops reconciling.","url":"/q/recruiting-stack-integrate-ats-crm-interview-scheduling-and-job"},{"id":"3bac1883-0c14-4b6f-976c-fd911d262bb6","slug":"whats-the-best-video-interviewing-software-and-are-one-way","question":"What's the best video interviewing software, and are one-way (asynchronous) interviews actually effective?","publishedAt":"2026-07-21T20:47:01.388","confidenceScore":82,"confidenceLabel":"High","industry":{"id":"e1a1da3c-52a8-4e99-88ad-d08ef17d7c3f","slug":"hr-technology","label":"HR Technology","description":"ATS, HRIS, payroll, and workforce management"},"topic":{"slug":"recruiting-applicant-tracking","label":"Recruiting & Applicant Tracking","description":"ATS, Recruiting CRM, Recruitment Marketing & Sourcing, Resume Parsing, Interview Scheduling, Video Interviewing","schemaKind":null},"contributor":{"id":"ec39deab-44fe-48d8-9029-fefe993ab85a","slug":"answer-stack","displayName":"AnswerStack","websiteUrl":null},"snippet":"Video interviewing splits into live interviewing with scorecards, one-way asynchronous platforms, and interview recording tools. Spark Hire and Willo publish prices; HireVue, VidCruiter and Jobma publish none. One-way interviews reliably cut scheduling work, but the validity evidence supports interview structure rather than the video format. Automated scoring adds Illinois, New York City and Colorado notice, consent and audit duties.","url":"/q/whats-the-best-video-interviewing-software-and-are-one-way"},{"id":"6a0b325a-7e5b-422e-b774-fbe3507ee1d5","slug":"whats-the-best-candidate-sourcing-and-recruitment-marketing-software","question":"What's the best candidate sourcing and recruitment marketing software, and does AI sourcing actually work?","publishedAt":"2026-07-21T20:46:58.551","confidenceScore":82,"confidenceLabel":"High","industry":{"id":"e1a1da3c-52a8-4e99-88ad-d08ef17d7c3f","slug":"hr-technology","label":"HR Technology","description":"ATS, HRIS, payroll, and workforce management"},"topic":{"slug":"recruiting-applicant-tracking","label":"Recruiting & Applicant Tracking","description":"ATS, Recruiting CRM, Recruitment Marketing & Sourcing, Resume Parsing, Interview Scheduling, Video Interviewing","schemaKind":null},"contributor":{"id":"ec39deab-44fe-48d8-9029-fefe993ab85a","slug":"answer-stack","displayName":"AnswerStack","websiteUrl":null},"snippet":"Sourcing software and recruitment marketing software are different categories. Sourcing tools find and contact passive candidates; recruitment marketing tools build a pipeline through career sites, talent CRM, and job distribution. Published prices run from roughly $99 a month for a solo seat to quote-only enterprise contracts. AI helps most with search and outreach drafting, least with predicting job performance, and automated ranking carries bias risk plus compliance duties in New York City, Illinois, and Colorado.","url":"/q/whats-the-best-candidate-sourcing-and-recruitment-marketing-software"}],"contributorStats":{"verifiedAnswers":224,"openDisputes":0},"schemaJson":{"@context":"https://schema.org","@type":"Question","name":"Do applicant tracking systems automatically reject or filter out resumes before a human sees them?","text":"Do applicant tracking systems automatically reject or filter out resumes before a human sees them?","url":"https://www.answerstack.io/q/applicant-tracking-systems-automatically-reject-or-filter-out-resumes","answerCount":1,"datePublished":"2026-07-21T20:46:55.96","author":{"@type":"Person","name":"AnswerStack Editorial Team","worksFor":{"@type":"Organization","name":"AnswerStack"},"url":"https://www.answerstack.io/contributors/answer-stack"},"about":[{"@type":"Thing","name":"Recruiting & Applicant Tracking"},{"@type":"Thing","name":"HR Technology"}],"acceptedAnswer":{"@type":"Answer","text":"Most applicant tracking systems do not automatically reject resumes, and applications that are removed without human review are removed by rules an employer switched on rather than by software judging your resume. Greenhouse tells candidates that applications land in a queue and are reviewed by real people in the order received, and that its AI does not score or rank applications or decide whether you move forward [1]. The genuine exception is the knockout question, where an employer wires a yes or no question to a rejection rule so a disqualifying answer about work authorization, licensure, or minimum experience ends the application immediately, sometimes with an automatic rejection email [2][3][4]. Keyword search and AI grading are a separate matter, because they change which applications a recruiter opens first and can bury a qualified candidate without formally rejecting them [6][8]. 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