PreprintCited by 0AI and HR TechnologiesEthics and Social Impacts of AIHuman Resource and Talent Management

Borrowed Competence: When AI-Driven HR Builds Startups’ People Capability and When It Hollows It Out

Open access
Ben Oz, Ron, Granot, Netta, Tzabbar, Daniel, Tzafrir, Shay·2026·SSRN Electronic Journal

Abstract

Using AI, a founder can now assemble a working HR operation in an afternoon. For firms that have never had an HR capability, this is a real advance. However, automation eliminates neither the hires nor their outcomes. What disappears is the stated reason an outcome could confirm or refute. When the tool ranks prospective candidates and a person approves of them, no one has committed to any outcome. If anyone learns from these hires, it is the vendor's system, not the firm. We call this borrowed competence, meaning the non-formation of a capability concealed by the reliable delivery of its outputs. We also distinguish borrowed competence from outsourcing, deskilling, and forgetting. Drawing on four literatures and interviews with founders and vendors, we present four tools for governing the automation boundary as a firm grows.

AI snapshot

Written from the paper’s full text.

TL;DR

The paper introduces “borrowed competence”: when AI-driven HR supplies the outputs of a capability without the firm forming the judgment to reproduce, evaluate, or improve it, especially in startups. Drawing on four literatures and interviews with founders and vendors, it proposes four tools for governing the automation boundary as a firm grows.

Key findings

  • Borrowed competence is distinct from outsourcing, deskilling, organizational forgetting, and absorptive capacity deficit: the capability is absent and invisibly so, not merely moved, eroded, lost, or unrecognized. The paper argues it must be prevented rather than corrected because retraining, documentation, and reinsourcing presume a baseline or internal standard the firm lacks.
  • Evidence from adjacent domains: a multicenter study of more than 1,400 colonoscopies found unassisted detection of precancerous growths fell from 28.4% to 22.4% after routine AI exposure, a relative decline of about a fifth; in a hiring experiment, 528 participants followed simulated model recommendations as often as 9 times in 10 even when severely biased; an audit of language models for resume screening found White-associated names favored in 85% of cases and female-associated names in only 11%.
  • Compliance and candidate reactions: a study of 391 employers found only 18 had posted a bias audit report and only 13 a transparency notice, roughly 5% and 3%; Pew reports 66% of U.S. adults would not want to apply to an employer using AI to help make hiring decisions versus 32% who would; a survey of more than 2,000 employers found nearly 9 in 10 said their screening systems filter out qualified candidates who do not match listed criteria.
  • The paper proposes four tools: draw the automation boundary using learning yield and capability strain; diagnose borrowed competence with seven questions; redraw the boundary on headcount triggers; interrogate the vendor with seven items. The danger zone is high-volume screening, where operational pressure and learning value are both greatest.

Methods

  • Conceptual and managerial article synthesizing four literatures—entrepreneurial HRM, organizational imprinting, human-automation interaction, and algorithmic management—plus practitioner and regulatory sources published through mid-2026.
  • Interviews: 16 interviews conducted May–September 2026 with founders and senior managers of early-stage firms in Israel (15 at early-stage firms and 1 at an established firm used as a contrast case), plus six interviews with executives at firms that build and sell AI-enabled HR tools. Two composite firms, Maya and Sara, are drawn from the interviews with identifying details altered.
  • Analysis: keyword searches and citation tracing from anchor papers in each stream; retained work bearing on capability formation rather than adoption or performance alone; interviews are described as how the authors came to see the pattern, not as a sample from which they generalize.

Limitations

  • Stated: the interviews are not a sample from which the authors generalize; the composite firms are altered and no single firm is described; the paper is a preprint and has not been peer reviewed. The erosion evidence comes from medicine, aviation, and process control and is “not yet demonstrated for HR judgment in entrepreneurial firms”; the colonoscopy study is observational; the contrast case does not establish that extensive automation is safe; Table 5 is not a validated instrument and has no threshold score.
  • Stated: the strongest objection—that human judgment may not form in hiring under any conditions because hiring is a wicked learning environment—is the one the authors “can least fully answer,” and they do not know whether the risk is overstated or understated. Direct evidence would compare early-stage firms that use AI to substitute for hiring decisions with comparable firms that use it to augment them, on whether they can state criteria, explain rejections, and hand hiring knowledge to a first people leader. Regulatory timelines may move; the Pew survey dates from late 2022 and attitudes might have shifted; the contrast case’s validation is within the selected sample and the interviewee gave no numbers.
  • Evident from the text: the paper offers no direct empirical test of borrowed competence in startups, no quantitative outcome data on startup hiring capability, and no validation of the proposed four tools or 30-60-90 plan; the argument relies on transferred evidence, interviews, and composite illustrations, which limits causal and generalizable claims.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.2139/ssrn.7489654

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

3 of 58 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Models trained on historical hiring records reproduce what those records contain.

    “Models trained on historical hiring records reproduce what those records contain[31,32].”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites [31] M Raghavan, 2020, Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices, Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency source
    • cites [32] A Kochling, 2020, Discriminated by an Algorithm: A Systematic Review of Discrimination and Fairness by Algorithmic Decision-Making in the Context of HR Recruitment and HR Development, Business Research source
  • Findingown data

    Of the tools our informants described, most meet one or two of the five criteria for building capability.

    “Of the tools our informants described, most meet one or two of these criteria.”
    Quote in the paperSubstantial claim
  • Findingreasoning

    Sometimes the break in a hiring process is known and retained anyway, as something close to culture, and by then it is far harder to take apart.

    “Sometimes the break is known and retained anyway, as something close to culture.By then, it is far harder to take apart.”
    Quote in the paperSubstantial claim
  • Interpretationreasoning

    Liability follows deployment.

    “Liability follows deployment.”
    Quote in the paperSubstantial claim
  • Interpretationreasoning

    With 200 employees, a bad hire is buried in aggregate turnover data, attributed to a manager two levels down, and hard to trace back to the criterion that caused it.

    “With 200, the same mistake is buried in aggregate turnover data, attributed to a manager two levels down, and hard to trace back to the criterion that caused it.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The window in which a founder can learn from people decisions is short and closes quickly.
    • Rests on an assumption: Judgment forms using fast, clear, personally consequential feedback.
  • May combine two claims. 81
  • Classified as probably not a substantial claim. 91
  • The quote only partly states this claim. 1
  • May combine two claims.

    Premisecitation

    Hiring is close to a textbook wicked learning environment: outcomes for rejected candidates are never observed, outcomes for those hired are confounded by onboarding, manager quality, and team composition, and feedback arrives 6 to 18 months late.

    “Hiring is close to a textbook wicked learning environment.Outcomes for rejected candidates are never observed, outcomes for those hired are confounded by onboarding, manager quality, and team composition, and feedback arrives 6 to 18 months late [41,42].”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites [41] R M Hogarth, 2015, The Two Settings of Kind and Wicked Learning Environments, Current Directions in Psychological Science source

      Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

      Experimental — accuracy not yet measured
    • cites [42] P Tambe, 2019, Artificial Intelligence in Human Resources Management: Challenges and a Path Forward, California Management Review source
  • May combine two claims.

    Premisecitation

    The result of the system was narrower pools and dissatisfied hiring managers.

    “The result was narrower pools and dissatisfied hiring managers.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [35] E Van Den Broek, 2025, Is There Fairness in AI?, New Research on AI and Fairness in Hiring source
  • Classified as probably not a substantial claim. May combine two claims.

    Findingown data

    The buyer runs the whole-process case: an AI tool checks candidates' licenses and certifications, tests their English, and conducts a professional interview; only those above a threshold reach a recruiter for a short conversation about availability and loose ends.

    “An AI tool checks the candidates' licenses and certifications, tests their English, and conducts a professional interview.Only those above a threshold reach a recruiter for a short conversation about availability and loose ends.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Our vendor informants described the same gap from the other side of the transaction.

    “Our vendor informants described the same gap from the other side of the transaction.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    What was never assessed before--social fit and a meeting with the future manager--stays out now, because the manager has no way to check it.

    “What was never assessed before--social fit and a meeting with the future manager--stays out now, because, as the manager puts it, he has no way to check it.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingown data

    Validation is scheduled every six months, and the manager follows up with early leavers, but when asked whether the validation rested on data, he gave no numbers and instead described the people who had passed and joined the firm.

    “Validation is scheduled every six months, and he follows up with early leavers.However, when asked whether the validation rested on data, he gave no numbers.Instead, he described the people who had passed and joined the firm.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    Firms examine their hiring only after something happens, usually a wave of departures, and do so with measures that are late and indirect.

    “Firms examine their hiring only after something happens, usually a wave of departures, and does so with measures that are late and indirect.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    The vendor maintains that a person has to stay in the loop, but the person does not settle who answers for a decision whose basis the system cannot state: the recruiter, the manager, or whoever selected the tool.

    “The vendor maintains that a person has to stay in the loop.However, the person does not settle who answers for a decision whose basis the system cannot state: the recruiter, the manager, or whoever selected the tool.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Handing over the entire hiring process to a tool is a phenomenon a vendor sees mainly in blue-collar and mass hiring; elsewhere she sees parts of the process automated, particularly screening and interviewing first.

    “Handing over the entire hiring process to a tool is a phenomenon she sees mainly in blue-collar and mass hiring.Elsewhere, she sees parts of the process automated, particularly screening and interviewing first.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingreasoning

    In startups, the founder's assumptions about who fits enter the process early, remain through the growth stage, and do not leave as the firm grows.

    “In startups, she added, the founder's assumptions about who fits enter the process early.They remain through the growth stage, and do not leave as the firm grows.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingnone given

    Most hiring processes a vendor informant encounters are broken somewhere: in the role definition, the criteria, a stage of the screening, or the way the decision is made.

    “Most hiring processes she encounters are broken somewhere: in the role definition, the criteria, a stage of the screening, or the way the decision is made.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingnone given

    The tool applies the criteria the organization gave it.

    “The tool applies the criteria the organization gave it.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    According to this interviewee, a tool with almost no biases that saves time results in better hiring and more retention.

    “According to this interviewee, a tool with almost no biases that saves time results in better hiring and more retention.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    Sara automated sourcing, scheduling, and the drafting of job descriptions from the start, and has never employed a full-time recruiter either.

    “Sara automated sourcing, scheduling, and the drafting of job descriptions from the start, and has never employed a full-time recruiter either.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Sara's logistics software company reached 120 employees on much the same stack Maya used.

    “Sara's logistics software company reached 120 employees on much the same stack Maya used.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Two activities are tracked across four stages.

    “Two activities are tracked across four stages.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given

    Retained recruiters have long rented some judgment about whom to hire for senior roles, but a recruiter presents a shortlist with reasons and leaves the decision, and the argument for it, with the founder.

    “Retained recruiters have long rented some of that judgment for senior roles.Nevertheless, a recruiter presents a shortlist with reasons and leaves the decision, and the argument for it, with the founder.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    A firm in borrowed competence is not failing to build capability; it is building a different one.

    “A firm in this condition is not failing to build capability.It is building a different one.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    Retraining presumes a baseline, documentation presumes knowledge the firm once held, and reinsourcing presumes an internal standard for judging the vendor; borrowed competence supplies none of the three, so it is far cheaper to prevent than to build after the fact.

    “Retraining presumes a baseline, documentation presumes knowledge the firm once held [18], and reinsourcing presumes an internal standard for judging the vendor.Borrowed competence supplies none of the three, so it is far cheaper to prevent than to build after the fact.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [18] P M De Holan, 2004, Remembrance of Things Past? The Dynamics of Organizational Forgetting, Management Science source
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    A certificate covering a vendor's model across all its customers is not a record of the firm's configuration.

    “A certificate covering a vendor's model across all its customers is not a record of the firm's configuration.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The endoscopists detected precancerous growths at a measurably lower rate after exposure to AI assistance than before, and the capability they lost was demonstrably present beforehand.

    “For example, the endoscopists we will discuss later detected precancerous growths at a measurably lower rate after exposure to AI assistance than before, and the capability they lost was demonstrably present beforehand [16].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] K Budzyn, 2025, Endoscopist Deskilling Risk After Exposure to Artificial Intelligence in Colonoscopy: A Multicentre, Observational Study, The Lancet Gastroenterology and Hepatology source
  • May combine two claims.

    Premisecitation

    A professional employer organization rents administration (payroll, benefits enrollment, compliance filing) but does not rent judgments about whom to hire.

    “However, a professional employer organization rents administration: payroll, benefits enrollment, compliance filing.It does not rent judgments about whom to hire.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [11] B S Klaas, 2000, Managing HR in the Small and Medium Enterprise: The Impact of Professional Employer Organizations, Entrepreneurship Theory and Practice source
  • May combine two claims.

    Interpretationreasoning

    With 15 employees, a bad hire is visible within weeks, and the founder can see exactly what was missed.

    “With 15 employees, a bad hire is visible within weeks, and the founder can see exactly what was missed.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The window in which a founder can learn from people decisions is short and closes quickly.
    • Rests on an assumption: Judgment forms using fast, clear, personally consequential feedback.
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Premisenone given

    Outsourcing moves execution outside the firm, while the ability to judge the work stays behind.

    “Outsourcing moves execution outside the firm, while the ability to judge the work stays behind.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    Automation eliminates neither the hires nor their outcomes.

    “However, automation eliminates neither the hires nor their outcomes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The people model is installed early and holds, but the demands on it keep moving.

    “The people model is installed early and holds, but the demands on it keep moving.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Interpretationreasoning

    A founder who has never screened candidates unaided has no comparable baseline to deskilled endoscopists.

    “A founder who has never screened candidates unaided has no comparable baseline.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    AI-enabled tools rent the decision itself, evaluating candidates, ranking them, and in many configurations rejecting them before anyone even looks at them.

    “AI-enabled tools rent the decision itself, evaluating candidates, ranking them, and in many configurations rejecting them before anyone even looks at them.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    A defense the firm cannot make from its own records is not a defense.

    “And a defense the firm cannot make from its own records is not a defense.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Outsourcing execution leaves judgment where it was; outsourcing judgment moves it out of the firm.

    “Outsourcing execution leaves judgment where it was; outsourcing judgment moves it out of the firm.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Adapting the people model to what the firm has become requires making judgments about people, and it comes due years after the period in which those judgments would have been formed.

    “Adapting it to what the firm has become requires making judgments about people, and it comes due years after the period in which those judgments would have been formed.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    The classic warning about hollowing out concerns activities a firm once performed and could perform again.

    “The classic warning about hollowing out concerns activities a firm once performed and could perform again [15].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [15] R A Bettis, 1992, Outsourcing and Industrial Decline source
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    Founders who buy their HR function become genuinely skilled at scoping a need, running a trial, and switching vendors, but that skill cannot produce the standard by which a vendor's output is judged; therefore, the firm becomes better at borrowing but no better at the thing it is borrowing.

    “Founders who buy their HR function become genuinely skilled at scoping a need, running a trial, and switching vendors.What that skill cannot produce is the standard by which a vendor's output is judged.Therefore, the firm becomes better at borrowing but no better at the thing it is borrowing.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    New York City requires annual independent bias audits of automated employment decision tools, public posting of the audit's summary, and at least 10 business days' notice to candidates.

    “For example, New York City requires annual independent bias audits of automated employment decision tools, public posting of the audit's summary, and at least 10 business days' notice to candidates [13].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [13] 2023, Requires an annual independent bias audit, public posting of the audit summary, and at least ten business days' notice to candidates

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation

    Absorptive capacity explains why a founder cannot evaluate a vendor, but not how the founder came to be in that position while the firm was apparently doing the work.

    “It explains why a founder cannot evaluate a vendor [17], but not how the founder came to be in that position while the firm was apparently doing the work.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [17] W M Cohen, 1990, Absorptive Capacity: A New Perspective on Learning and Innovation, Administrative Science Quarterly source
  • May combine two claims.

    Interpretationreasoning

    A vendor's certificate describes a model across all its customers, but what a plaintiff asks for is what this firm did, and a firm that never articulated its criteria has no answer that originates with it.

    “A vendor's certificate describes a model across all its customers.What a plaintiff asks for is what this firm did, and a firm that never articulated its criteria has no answer that originates with it.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: A vendor's certificate describes a model across all its customers.
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    The authors use the erosion evidence for the mechanism, as a well-grounded risk to manage rather than a documented finding about startups.

    “We use it for the mechanism, as a well-grounded risk to manage rather than a documented finding about startups.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Currently, most firms are using AI for drafting purposes, with job descriptions ahead of resume screening.

    “Currently, most firms are using AI for drafting purposes, with job descriptions ahead of resume screening [22].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [22] Shrm, 2025, Talent Trends: Artificial Intelligence in HR (Alexandria, VA: Society for Human Resource Management

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The classic validity estimates have been revised downward, although the relative standing of structured methods has survived the correction.

    “The classic validity estimates have been revised downward, although the relative standing of structured methods have survived the correction [24].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [24] P R Sackett, 2022, Revisiting Meta-Analytic Estimates of Validity in Personnel Selection: Addressing Systematic Overcorrection for Restriction of Range, Journal of Applied Psychology source
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    In a runway-limited firm, time-to-hire is a survival metric, not an efficiency one; a key role vacant for four months can cost a funding milestone.

    “In a runway-limited firm, time-to-hire is a survival metric, not an efficiency one.A key role vacant for four months can cost a funding milestone.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The activity looks identical from outside and produces the same hire, but it creates a different firm.

    “The activity looks identical from outside and produces the same hire.However, it creates a different firm.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Both questions that buyers do ask are answerable without any knowledge of hiring; the two they do not ask are the ones that determine whether the tool builds judgment or absorbs it.

    “Both questions that buyers do ask are answerable without any knowledge of hiring.The two they do not ask are the ones that determine whether the tool builds judgment or absorbs it.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    What the founder described near the end of the article has and Maya does not is a stated, tested, revisable account of whom the firm hires and why.

    “What the founder we describe near the end of the article has and Maya does not is a stated, tested, revisable account of whom the firm hires and why.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    It is validation within the selected sample, which may reveal early failures among those hired but cannot show whom the threshold wrongly excluded.

    “It is validation within the selected sample, which may reveal early failures among those hired but cannot show whom the threshold wrongly excluded.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    Accountability does not distribute; it asks who must answer, and that cannot be the system, which can neither face a rejected candidate nor change the practice that produced the rejection.

    “Accountability does not distribute.It asks who must answer, and that cannot be the system, which can neither face a rejected candidate nor change the practice that produced the rejection [40].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [40] H Ma, Whom to Sue? Liability of Unaccountability in AI Decisions, Organizational Dynamics

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    The interviews are not a sample from which the authors generalize; they are how the authors came to see the pattern and the source of the two composite firms.

    “The interviews are not a sample from which we generalize.They are how we came to see the pattern, and they are the source of the two composite firms described below.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Beane found that robotic surgery, which lets the attending surgeon perform an entire procedure alone, left most residents unable to operate; their skill was not eroded, but the occasions on which it would have formed were removed.

    “Beane found that robotic surgery, which lets the attending surgeon perform an entire procedure alone, left most residents unable to operate.Their skill was not eroded.The occasions on which it would have formed were removed [19].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [19] M I Beane, 2019, Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail, Administrative Science Quarterly source
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    If reliable human judgment does not form from 20 hires a year regardless of automation, there is nothing to protect.

    “If reliable human judgment does not form from 20 hires a year regardless of automation, there is nothing to protect.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Hiring supplies repetition readily and feedback poorly, because outcomes arrive late and confounded, and rejected candidates are never observed.

    “Hiring supplies repetition readily and feedback poorly, because outcomes arrive late and confounded, and rejected candidates are never observed.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Fairness was not embedded in the code; it was negotiated by the people who built and deployed the system, and then frozen.

    “Fairness was not embedded in the code.It was negotiated by the people who built and deployed the system, and then frozen.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [35] E Van Den Broek, 2025, Is There Fairness in AI?, New Research on AI and Fairness in Hiring source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationreasoning

    A tool built on a broken hiring process does not run a sound process faster; it learns the one it is given, breaks included, and repeats it.

    “A tool built on such a process does not run a sound process faster; it learns the one it is given, breaks included, and repeats it.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Raisch and Krakowski distinguish automation, in which the machine takes over a task, from augmentation, in which human and machine capabilities are combined by design, and theorize the two as interdependent rather than mutually exclusive.

    “Its vocabulary follows Raisch and Krakowski, who distinguish automation, in which the machine takes over a task, from augmentation, in which human and machine capabilities are combined by design, and theorize the two as interdependent rather than mutually exclusive [45].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [45] S Raisch, 2021, Artificial Intelligence and Management: The Automation-Augmentation Paradox, Academy of Management Review source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The capability at stake here was never the founder's instinct.

    “It is also why the capability at stake here was never the founder's instinct.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    In a startup, the founder is the person who was supposed to learn, and expertise hired later cannot retrieve decisions no one wrote down.

    “In a startup, the founder is the person who was supposed to learn, and expertise hired later cannot retrieve decisions no one wrote down.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    In a large firm, a screening tool is one input into a function staffed by specialists with legal counsel to advise them; in a 30-person firm, the tool frequently is the function.

    “In a large firm, a screening tool is one input into a function staffed by specialists with legal counsel to advise them.In a 30-person firm, the tool frequently is the function.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The asymmetry is not about how many small firms adopt these tools; it is about what adoption means in a small firm.

    “The asymmetry is not about how many small firms adopt these tools.It is about what adoption means in a small firm.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Pew puts the figure at about two-thirds: 66 percent of U.S. adults say they would not want to apply to an employer that uses AI to help make hiring decisions, as opposed to 32 percent who would.

    “Pew puts the figure at about two-thirds: 66 percent of U.S. adults say they would not want to apply to an employer that uses AI to help make hiring decisions, as opposed to 32 percent who would [38].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [38] 2022, Survey of 11,004 U.S. adults conducted, AI in Hiring and Evaluating Workers: What Americans Think

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    The colonoscopy study was observational.

    “As the authors stress, the design of the study was observational.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The founders described have no measured baseline, which makes the same erosion dynamic harder to detect rather than less consequential.

    “These are cases of erosion from a measured baseline; the founders we describe have no such baseline, which makes the same dynamic harder to detect rather than less consequential.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Together Beane and Balasubramanian et al. establish the general point that a machine doing the work can prevent the firm from learning it.

    “Together these two studies establish the general point that a machine doing the work can prevent the firm from learning it, but that point is not ours.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Because the tool substitutes for the learning that would build assessment capacity, the deficit does not close with use and may widen.

    “Given that the tool substitutes for the learning that would build assessment capacity, the deficit does not close with use and may indeed widen.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    Human beings reviewing recommendations they lack the expertise or incentive to challenge is not a safeguard but a ratification step, and ratification is the mechanism by which the decisions keep happening while the judgment behind them never forms.

    “Human beings reviewing recommendations they lack the expertise or incentive to challenge is not a safeguard but a ratification step, and ratification is the mechanism by which the decisions keep happening while the judgment behind them never forms.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Human review is the standard assurance offered when AI screening is questioned.
  • May combine two claims.

    Premisecitation

    Absorptive capacity holds that a firm's ability to recognize and apply external knowledge depends on prior related knowledge in the same domain; one needs to know something about a field to evaluate expertise in it.

    “Absorptive capacity holds that a firm's ability to recognize and apply external knowledge depends on prior related knowledge in the same domain [17].One needs to know something about a field to evaluate expertise in it.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [17] W M Cohen, 1990, Absorptive Capacity: A New Perspective on Learning and Innovation, Administrative Science Quarterly source
  • May combine two claims.

    Interpretationreasoning

    Systems that share their reasoning can train rather than substitute, but that is a design and configuration question rather than a question about AI.

    “Systems that share their reasoning can train rather than substitute.However, that is a design and configuration question rather than a question about AI.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The person who is answerable is the one whose part in the decision has narrowed to a summary and a short call.

    “The person who is answerable is the one whose part in the decision has narrowed to a summary and a short call.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    One role is hired at volume, its requirements are largely codifiable, and a recruiting function exists; each of these is a low-risk condition in Table 3, and a first-time founder typically has none of them.

    “One role is hired at volume, its requirements are largely codifiable, and a recruiting function exists.Each of these is a low-risk condition in Table 3, and a first-time founder typically has none of them.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The objection strengthens rather than weakens the practical recommendation.

    “What we would say is that the objection strengthens rather than weakens the practical recommendation.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    AI-assisted hiring probably produces better decisions than most founders do unassisted, unstructured interviewing by founders being among the weaker predictors of job performance in the selection literature.

    “AI-assisted hiring probably produces better decisions than most founders do unassisted, unstructured interviewing by founders being among the weaker predictors of job performance in the selection literature.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [23] F L Schmidt, 1998, The Validity and Utility of Selection Methods in Personnel Psychology, Psychological Bulletin source
    • cites [24] P R Sackett, 2022, Revisiting Meta-Analytic Estimates of Validity in Personnel Selection: Addressing Systematic Overcorrection for Restriction of Range, Journal of Applied Psychology source
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    These are not non-compliance rates, because the law grants firms a great deal of discretion over whether a system fails in scope.

    “These are not non-compliance rates, because the law grants firms a great deal of discretion over whether a system fails in scope.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The law grants firms a great deal of discretion over whether a system fails in scope.
  • May combine two claims.

    Premisecitation

    People monitoring reliable systems under-monitor them and accept recommendations even when contradictory information is available; therefore, the design question is appropriate reliance rather than maximum trust.

    “People monitoring reliable systems under-monitor them and accept recommendations even when contradictory information is available.Therefore, the design question is appropriate reliance rather than maximum trust [28,29].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [28] R Parasuraman, 2010, Complacency and Bias in Human Use of Automation: An Attentional Integration, Human Factors source
    • cites [29] J D Lee, 2004, Trust in Automation: Designing for Appropriate Reliance, Human Factors source
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    The gains from AI in HR are real, immediate, and correctly identified by the founders taking them, which is why nothing about the arrangement prompts a second look.

    “The gains are real, immediate, and correctly identified by the founders taking them, which is why nothing about the arrangement prompts a second look.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationnone given

    The condition forms rather than strikes, and the sequence is driven by the tool working rather than failing.

    “The condition forms rather than strikes, and the sequence is driven by the tool working rather than failing.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The condition forms rather than strikes, and the sequence is driven by the tool working rather than failing.
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Learning yield is not an arbitrary axis.

    “Learning yield is not an arbitrary axis.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    The boundary has an owner, but that owner expects it to move, which is the drift that Tool 3 is designed to catch.

    “The boundary has an owner, but that owner expects it to move, which is the drift that Tool 3, below, is designed to catch.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Algorithmic selection is generally seen as less fair than human or human-assisted processes, with the most consistent negative effects on perceived social presence and interpersonal treatment.

    “Algorithmic selection is generally seen as less fair than human or human-assisted processes, with the most This preprint research paper has not been peer reviewed.Electronic copy available at: https://ssrn.com/abstract=7489654P r e p r i n t n o t p e e r r e v i e w e d consistent negative effects on perceived social presence and interpersonal treatment [37].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [37] A Hilliard, 2022, Robots Are Judging Me: Perceived Fairness of Algorithmic Recruitment Tools, Frontiers in Psychology source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation

    The system hard-coded one definition of fairness--standardization under uniform rules--and progressively deprioritized managers' local judgment about role requirements, labor markets, and team needs.

    “However, it hard-coded one definition of fairness--standardization under uniform rules--and progressively deprioritized managers' local judgment about role requirements, labor markets, and team needs [35].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [35] E Van Den Broek, 2025, Is There Fairness in AI?, New Research on AI and Fairness in Hiring source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation

    A study of 391 employers, in which 155 student investigators recorded compliance as a prospective job applicant would encounter it, found that only 18 had posted a bias audit report and only 13 a transparency notice, roughly five and three percent, respectively.

    “A study of 391 employers, in which 155 student investigators recorded compliance as a prospective job applicant would encounter it, found that only 18 had posted a bias audit report and only 13 a transparency notice, roughly five and three percent, respectively [1].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [1] L Wright, Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability, Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The firms most exposed to the objection have the most to gain from the practices described below.

    “The firms most exposed to the objection have the most to gain from the practices described below.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    A founder who ran hiring for 200 people elsewhere faces a different problem: the model may be stale or wrong for this firm, but at least the founder has a standard for evaluating what the tool returns.

    “A founder who ran hiring for 200 people elsewhere faces a different problem.The model may be stale or wrong for this firm, but at least the founder has a standard for evaluating what the tool returns.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Unstructured interviewing is among the weaker predictors of job performance, and founder-led hiring is unstructured in the extreme.

    “Unstructured interviewing is among the weaker predictors of job performance, and founder-led hiring is unstructured in the extreme [23].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [23] F L Schmidt, 1998, The Validity and Utility of Selection Methods in Personnel Psychology, Psychological Bulletin source
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    If feedback in hiring is genuinely poor, then articulating the issues by writing down why, comparing decisions, and testing criteria against outcomes is not an optional supplement to experience; it is the only mechanism by which experience becomes capability at all.

    “If feedback in hiring is genuinely poor, then articulating the issues by writing down why, comparing decisions, and testing criteria against outcomes is not an optional supplement to experience.It is the only mechanism by which experience becomes capability at all.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationcitation

    Our framework turns that interdependence into a deliberate managerial boundary choice.

    “Our framework turns that interdependence into a deliberate managerial boundary choice.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    When a tool makes the decision and a human ratifies the output, the repetitions still occur but nothing is articulated, and the mechanism by which repetition becomes capability is broken.

    “When a tool makes the decision and a human ratifies the output, the repetitions still occur but nothing is articulated, and the mechanism by which repetition becomes capability is broken.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisereasoning

    The study calls the condition null compliance: absence of evidence cannot be read as evidence of absence.

    “The study calls the condition null compliance: absence of evidence cannot be read as evidence of absence.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [1] L Wright, Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability, Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning

    Consistency improves on the real baseline, which is not AI against expert human judgment but AI against a distracted technical founder screening resumes at 11:00 PM between customer calls.

    “Consistency improves on the real baseline.This is not AI against expert human judgment but AI against a distracted technical founder screening resumes at 11:00 PM between customer calls.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The firm needs human judgment for the residual, and the objection offers no account of where it comes from.

    “The firm needs human judgment for the residual, and the objection offers no account of where it comes from.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A large technology firm's abandoned internal screening tool disadvantaged women after learning from a historical hiring record.

    “A large technology firm's abandoned internal screening tool, which disadvantaged women after learning from a historical hiring record, illustrates the mechanism rather than being the evidence for it [34].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [34] J Dastin, 2018, Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women, Reuters

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    The upper-right quadrant is the heart of the problem; its position is not a coincidence but the structure of the situation.

    “The upper-right quadrant is the heart of the problem.Its position is not a coincidence but the structure of the situation.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductcitation

    The evidence of erosion is established in studies in medicine, aviation, and process control, but not yet demonstrated for HR judgment in entrepreneurial firms.

    “The evidence in this section is evidence of erosion, established in studies in medicine, aviation, and process control, but not yet demonstrated for HR judgment in entrepreneurial firms.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Balasubramanian, Ye, and Xu argued that organizations learn from decisions through the people who make them; therefore, when machine learning substitutes for these people, the organization keeps deciding and stops learning.

    “Balasubramanian, Ye, and Xu argued that organizations learn from decisions through the people who make them.Therefore, when machine learning substitutes for these people, the organization keeps deciding and stops learning [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] N Balasubramanian, Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning, Academy of Management Review source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Well-trained and well-deployed AI systems reduce noise and enforce consistency.

    “While conceding that well-trained and well-deployed systems reduce noise and enforce consistency, Chamorro-Premuzic's assessment is that AI has made hiring worse, an arms race of automation on both sides [25].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] T Chamorro-Premuzic, 2026, AI Has Made Hiring Worse -But It Can Still Help, Harvard Business Review

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationcitation

    Approving a ranked list is not deciding.

    “Approving a ranked list is not deciding.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    It is the cheapest available substitute for the feedback that hiring does not naturally supply, and it is the cheapest item in this article.

    “It is the cheapest available substitute for the feedback that hiring does not naturally supply, and it is the cheapest item in this article.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationnone given

    Retraining presumes a baseline, and reinsourcing presumes an internal standard.

    “Retraining presumes a baseline, and reinsourcing presumes an internal standard.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The automation boundary decision is the build-versus-buy decision applied to the organization.

    “because it is that decision applied to the organization.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    Moving sideways, from augment into automate, means an activity that builds human judgment is now being treated as though it does not, and no one decided that.

    “Moving sideways, from augment into automate, means an activity that builds human judgment is now being treated as though it does not, and no one decided that.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    The upper-right quadrant is where borrowed competence is manufactured, because the pressure to hand off is maximal precisely where the learning lives.

    “The upper-right quadrant is where borrowed competence is manufactured, because the pressure to hand off is maximal precisely where the learning lives.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    A date-based review will miss drift, because the boundary moves when the firm changes rather than when the calendar does.

    “A date-based review will miss it, because the boundary moves when the firm changes rather than when the calendar does.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    High-volume screening is both the most burdensome HR activity in a growing startup and the single richest source of judgment about who succeeds in the firm.

    “High-volume screening is both the most burdensome HR activity in a growing startup and the single richest source of judgment about who succeeds in the firm.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    In most growing firms, the danger zone means high-volume screening.

    “which in most growing firms means high-volume screening.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Calendar reviews get skipped; doublings are unmissable and mark the real structural breaks in how a firm operates.

    “Calendar reviews get skipped; doublings are unmissable and mark the real structural breaks in how a firm operates.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Nothing in stages 1 through 3 registers as a warning, because the tool is performing as promised.

    “Nothing in stages 1 through 3 registers as a warning, because the tool is performing as promised.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Stage 3 is the last cheap point of intervention.

    “Stage 3 is the last cheap point of intervention.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationnone given

    Renting capability is a legitimate strategy; believing you own what you are renting is not.

    “Renting capability is a legitimate strategy; believing you own what you are renting is not.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    Drift is easier to prevent than to detect.

    “Drift is easier to prevent than to detect.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationnone given

    Borrowed competence is invisible when things are working, which is why it is usually discovered at the worst possible moment.

    “Borrowed competence is invisible when things are working, which is why it is usually discovered at the worst possible moment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Founders lacking HR expertise need questions whose answers they can evaluate without it.

    “Founders lacking HR expertise need questions whose answers they can evaluate without it.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Question 4 is the load-bearing item, because it is the only one that distinguishes deliberate renting from borrowed competence.

    “Question 4 is the load-bearing item, because it is the only one that distinguishes deliberate renting from borrowed competence.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Every selection tool has false negatives.

    “Every selection tool has false negatives.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    A capability held in reserve decays.

    “A capability held in reserve decays, so whoever owns hiring should run one or two searches a year end to end, unaided, to keep the standard current.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationnone given

    The difference between Sara's and Maya's firms is that Sara knew she was renting capability and priced the difference at about two hours a month.

    “The difference is that Sara knew she was renting it, and priced the difference at about two hours a month.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Sara's firm implemented four inexpensive practices and achieved the described outcomes.
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    Interview scheduling belongs in automate once volume makes it burdensome, and nothing is lost.

    “Interview scheduling belongs there once volume makes it burdensome, and nothing is lost.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    Both activities rise as growth increases strain, and that movement is expected.

    “Both rise as growth increases strain, and that movement is expected.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationreasoning

    The most reliable trigger for review is headcount doubling, because it is the point at which strain rises fastest and the point at which the founder is least likely to notice that it has.

    “The most reliable trigger is headcount doubling, because it is the point at which strain rises fastest and the point at which the founder is least likely to notice that it has.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Maya will do this while making the highest-stakes people decisions of the company's life.

    “and she will do it while making the highest-stakes people decisions of the company's life.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    A boundary drawn thoughtfully at 15 people and never revisited will be wrong at 80 and dangerous at 200.

    “a boundary drawn thoughtfully at 15 people and never revisited will be wrong at 80 and dangerous at 200.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    The boundary moves in one direction unless someone pushes back.

    “the boundary moves in one direction unless someone pushes back.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    The danger zone sits where operational pressure and learning value are both greatest.

    “It sits where operational pressure and learning value are both greatest”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    The four tools are easier to adopt in sequence than all at once.

    “The four tools above are easier to adopt in sequence than all at once.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    The most common failure is not over-automating but setting the boundary once and never revisiting it.

    “The most common failure is not over-automating but setting the boundary once and never revisiting it.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    Borrowed competence supplies neither a baseline nor an internal standard, which is why it must be prevented rather than corrected.

    “Borrowed competence supplies neither, which is why it must be prevented rather than corrected.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    The seven questions in Table 5 are not presented as a validated instrument, and there is no threshold score.

    “We do not present them as a validated instrument, and there is no threshold score.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Vertical movement is not the problem.

    “Vertical movement is not the problem.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Capability can be rented.

    “Capability can be rented.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Growth increases capability strain across the matrix, pushing every activity toward the top and creating steady pressure to move items into automate.

    “Growth increases capability strain across the matrix, pushing every activity toward the top and creating steady pressure to move items into automate.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The seven items in Table 7 do that work, because the shape of an answer is informative even when its technical content is not.

    “The seven items in Table 7 do that work, because the shape of an answer is informative even when its technical content is not.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The items respond directly to the finding that vendors' fairness claims are often unsubstantiated.

    “In addition, the items respond directly to the finding that vendors' fairness claims are often unsubstantiated [31].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [31] M Raghavan, 2020, Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices, Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency source
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Maya will spend 18 months and considerable expense constructing the human judgment she believed she already possessed.

    “she will spend 18 months and considerable expense constructing the human judgment she believed she already possessed”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    If you cannot explain a criterion to a new manager in two minutes, automating it will lock in something nobody can later examine or defend.

    “If you cannot explain it to a new manager in two minutes, automating it will lock in something nobody can later examine or defend.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    This single practice separates learning from processing.

    “This single practice separates learning from processing.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Founders who cannot state what their process selects for cannot tell whether it is still selecting for what makes the firm distinctive.

    “Founders who cannot state what their process selects for cannot tell whether it is still selecting for what makes the firm distinctive.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The automation boundary is a strategic decision rather than an operational one.

    “the automation boundary is a strategic decision rather than an operational one”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    After stage 4, the cost rises with every hire, and after stage 7, it is paid all at once.

    “After stage 4, the cost rises with every hire, and after stage 7, it is paid all at once.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    The cost here is not judgment but what judgment was supposed to protect.

    “The cost here is not judgment but what judgment was supposed to protect.”
    Quote in the paperNot a substantial claim
134 of 134
  • The paper relies on this without support.

    Using AI, a founder can now assemble a working HR operation in an afternoon.

    “Using AI, a founder can now assemble a working HR operation in an afternoon.”
  • The paper relies on this without support.

    In a firm of 15, there is no HR department; only a founder's cumulative judgment about people stands in for an HR capability the firm does not yet have.

    “First, in a firm of 15, there is no HR department.There is only a founder whose cumulative judgment about people stands in for an HR capability the firm does not yet have.”
  • The paper relies on this without support.

    The window in which a founder can learn from people decisions is short and closes quickly.

    “Second, the window in which a founder can learn from people decisions is short and closes quickly.”
  • The paper relies on this without support.

    Judgment forms using fast, clear, personally consequential feedback.

    “Judgment forms using fast, clear, personally consequential feedback, and startups enjoy that condition only briefly.”
  • The paper relies on this without support.

    Most founders have not adjusted to recent changes in what can be rented and in regulation.

    “Two things have changed recently enough that most founders have not adjusted.”
  • The paper relies on this without support.

    The condition forms rather than strikes, and the sequence is driven by the tool working rather than failing.

    “The condition forms rather than strikes, and the sequence is driven by the tool working rather than failing.”
  • The paper relies on this without support.

    Some HR work has no learning value at all; scheduling, payroll, benefits administration, eligibility verification, and offer-letter generation have never produced strategic insights for anyone.

    “Some HR work has no learning value at all.Scheduling, payroll, benefits administration, eligibility verification, and offer-letter generation have never produced strategic insights for anyone.”
  • The paper relies on this without support.

    Human review is the standard assurance offered when AI screening is questioned.

    “Human review is the standard assurance offered when AI screening is questioned.”
  • The paper relies on this without support.

    Founders often adopt algorithmic hiring partly because they believe it will reduce bias relative to their own instincts.

    “Founders often adopt algorithmic hiring partly because they believe it will reduce bias relative to their own instincts.”
  • The paper relies on this without support.

    Startups rarely win talent on compensation; they win on mission, proximity to founders, and the sense that an individual matters here.

    “Startups rarely win talent on compensation.They win on mission, proximity to founders, and the sense that an individual matters here.”
  • The paper relies on this without support.

    Private litigation does not wait on an agency's priorities, discovery does not care what a vendor certified, and the documentation that answers a plaintiff's counsel is held in the employer's own account.

    “Private litigation does not wait on an agency's priorities, discovery does not care what a vendor certified, and the documentation that answers a plaintiff's counsel is held in the employer's own account.”
  • The authors state this as an assumption.

    The plan assumes a firm of 20 to 150 employees hiring at least 20 people a year with no dedicated people function.

    “The plan below assumes a firm of 20 to 150 employees hiring at least 20 people a year with no dedicated people function.”
    “The plan assumes a firm of 20 to 150 employees hiring at least 20 people a year with no dedicated people function.”
  • The paper relies on this without support.

    A vendor's certificate describes a model across all its customers.

    “A vendor's certificate describes a model across all its customers.”
  • The paper relies on this without support.

    The law grants firms a great deal of discretion over whether a system fails in scope.

    “These are not non-compliance rates, because the law grants firms a great deal of discretion over whether a system fails in scope.”
  • The paper relies on this without support.

    The current pattern of adoption of AI HR tools in entrepreneurial firms is not conscious, bounded, or revisited.

    “the current pattern of adoption in entrepreneurial firms has none of these properties.”
  • The paper relies on this without support.

    Founders adopt AI HR tools to solve an urgent problem, and the tools solve it.

    “Founders adopt these tools to solve an urgent problem, and the tools solve it.”
  • The paper relies on this without support.

    The question of what capability the firm is not building does not surface until the scaling transition.

    “the question of what capability the firm is not building never surfaces until the bill arrives at the scaling transition.”
  • The paper relies on this without support.

    Sara's firm implemented four inexpensive practices and achieved the described outcomes.

    “It is that Sara treated the automation boundary as a decision, and put four inexpensive practices in place to keep the learning inside.”
18 of 18

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • EU AI Act citation points to a colonoscopy study

    Minor

    The statement cites [14] for the EU AI Act, but reference 14 is a study of endoscopist deskilling, not the Act.

  • Two different sources are numbered 13

    Minor

    The reference list assigns number 13 to both the New York City law and an outsourcing article, making citations to [13] ambiguous and shifting subsequent citation numbers.

2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 17

  1. L Wright, Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability, Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)
  2. A L Stinchcombe, 1965, Social Structure and Organizations, Handbook of Organizations, 142
  3. D Tzabbar, 2017, Beyond the Startup Stage: The Founding Team's Human Capital, New Venture's Stage of Life, Founder-CEO Duality, and Breakthrough Innovation, 28, 857
  4. J B Fuller, 2021, Harvard Business School Project on Managing the Future of Work and Accenture, Hidden Workers: Untapped Talent
  5. 2023, Requires an annual independent bias audit, public posting of the audit summary, and at least ten business days' notice to candidates
  6. Annex III, classifying employment uses including recruitment, selection, promotion, and termination as high-risk. Compliance timelines for stand-alone Annex III systems have been amended since adoption; verify current status in the relevant jurisdiction before relying on any published date, Artificial Intelligence Act)
  7. R A Bettis, 1992, Outsourcing and Industrial Decline, 6, 7
  8. Shrm, 2025, Talent Trends: Artificial Intelligence in HR (Alexandria, VA: Society for Human Resource Management
  9. T Chamorro-Premuzic, 2026, AI Has Made Hiring Worse -But It Can Still Help, Harvard Business Review
  10. K Wilson, No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy, Proceedings of the AAAI/ACM Conference on AI, 8, 2025
  11. K Wilson, Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval, Proceedings of the AAAI/ACM Conference on AI, 7, 1578
  12. J Dastin, 2018, Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women, Reuters
  13. E Van Den Broek, 2025, Is There Fairness in AI?, New Research on AI and Fairness in Hiring, 63, 3494
  14. 2022, Survey of 11,004 U.S. adults conducted, AI in Hiring and Evaluating Workers: What Americans Think
  15. 2023, Enforcement of Local Law 144 -Automated Employment Decision Tools (audit report issued
  16. H Ma, Whom to Sue? Liability of Unaccountability in AI Decisions, Organizational Dynamics, 54
  17. D A Kolb, 1984, Experiential Learning: Experience as the Source of Learning and Development

Cited by

Still being checked.

Authors
Ben Oz, R., Granot, N., Tzabbar, D., & Tzafrir, S.
Affiliations
  • Drexel University (US)
  • University of Haifa (IL)
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2026
ISSN
1556-5068 (ISSN-L)
OpenAlex
W7213633908
Cited by
0
References
29
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (acceptedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
Keywords
artificial intelligence in human resource management, HR automation, startups, organizational capabilities, applicant screening, outsourcing, deskilling, forgetting, founder decision-making, organizational growth

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-06.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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