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See also: Employment ChatGPT Plugins
The use of artificial intelligence in employment covers software and statistical systems that companies deploy to recruit, screen, interview, hire, monitor, evaluate, promote, and dismiss workers. The category includes resume parsing engines, applicant tracking systems, video interview scoring tools, conversational chatbots that handle high volume hiring, productivity surveillance platforms, and generative AI assistants used by recruiters and managers. Employment is one of the most heavily regulated AI domains because hiring and firing decisions are protected by anti-discrimination law in nearly every developed economy, and because the same systems that promise to reduce bias have produced several of the most prominent examples of algorithmic discrimination in the past decade.
A majority of large employers now use some form of machine learning in the hiring pipeline, usually before any human recruiter ever sees an application. Resume parsers convert PDF and Word documents into structured fields. Match engines rank candidates against a job description. Knockout questionnaires filter out applicants who fail screening criteria. Chatbots handle scheduling and basic Q&A. Video platforms record interview answers and produce scores on traits the vendor claims to measure. Once a worker is hired, productivity software tracks keystrokes, mouse activity, application usage, and meeting behavior, and some platforms produce a single composite score that managers can compare across teams.
The market is dominated by a small number of human capital management vendors. Workday, Oracle, SAP SuccessFactors, and ADP supply enterprise recruiting and HR modules that ship with embedded AI features. Standalone applicant tracking vendors such as Greenhouse, iCIMS, SmartRecruiters, Lever, and Jobvite layer AI scoring on top of the core workflow. Specialized players such as HireVue, Paradox, Eightfold AI, Beamery, and Phenom focus on video interviewing, chatbots, or talent intelligence. Resume parsing is largely commoditized through Textkernel (which owns Sovren), Daxtra, and HireAbility.
Regulators caught up to the market later than the technology. The first dedicated US law on AI hiring took effect in Illinois on January 1, 2020. New York City began enforcing a bias audit requirement on July 5, 2023. The US Equal Employment Opportunity Commission settled its first AI hiring case against iTutorGroup in August 2023, and the federal class action Mobley v. Workday survived a motion to dismiss in July 2024, then received conditional collective certification in May 2025. The European Union AI Act classifies most employment uses as high risk, with the main set of obligations scheduled to apply from August 2, 2026.
The industry sells AI in hiring as a remedy for bias and a path to better hires. The peer reviewed evidence has been mixed. Several audits and academic studies have found that mainstream systems amplify rather than reduce disparate impact, especially when training data reflects historical hiring patterns or when generative models are asked to rank resumes that differ only by candidate name.
Automated resume sorting predates the modern wave of AI. Early applicant tracking systems in the 1990s ran keyword searches against scanned resumes. Sovren launched in 1996 and became one of the most widely licensed resume parsing engines, embedded inside thousands of HR products that customers never saw branded. Taleo, founded in 1999 and acquired by Oracle in 2012, established the modern ATS workflow of structured pipelines, requisitions, and stage based candidate movement.
The shift from keyword matching to statistical learning began in the mid 2010s. Companies started running supervised models on past hiring outcomes to predict which applicants were most likely to be hired or to perform well. Amazon built one of the earliest examples between 2014 and 2017. Reuters reported in October 2018 that the project had been scrapped because the model had taught itself to penalize resumes that contained the word "women's" and that downgraded graduates of two all women's colleges. The training data, mostly resumes received over the prior decade, was dominated by men, and the model learned to reproduce that pattern.
Video interview AI emerged from a parallel track. HireVue, founded in 2004 as a video interviewing service, added algorithmic scoring around 2014 and began marketing claims that the platform could assess personality traits, cognitive ability, and "emotional intelligence" from facial expressions, voice patterns, and word choice. By 2019 the Electronic Privacy Information Center had filed a complaint with the US Federal Trade Commission alleging that HireVue's scoring was opaque, unproven, and likely biased. HireVue announced in January 2021 that it would stop using facial analysis after commissioning an external audit.
The arrival of large language models changed the field again. ChatGPT made it easy for both job applicants and recruiters to draft resumes, cover letters, screening rubrics, and interview questions in seconds. Vendors retrofitted generative models into their products: HireVue, Paradox, Workday, LinkedIn, and Eightfold all shipped major AI agent features in 2024. By 2025, several large employers were openly using AI as a justification for hiring freezes, while several others quietly walked back earlier claims that AI had eliminated entire job categories.
Applicant tracking systems handle the requisition, application, screening, and interview scheduling workflow. The market is fragmented, with most large employers running an enterprise HCM platform alongside one or more specialized tools. The table below covers vendors that have publicly described AI features and their approximate launch or AI release dates.
| Vendor | Founded | Owner or status | AI features |
|---|---|---|---|
| Workday Recruiting | 2005 | Public (NASDAQ: WDAY) | Candidate skills cloud, generative AI job description and screening assistants, requisition matching, and embedded recommendations across the HCM suite |
| Taleo | 1999 | Acquired by Oracle 2012 | Oracle Recruiting Cloud now integrates Eightfold agentic interview intelligence |
| iCIMS | 2000 | Vista Equity Partners | Talent Cloud AI, Frontline AI for high volume hiring (2026), generative job description writer, candidate matching |
| Greenhouse | 2012 | TPG (acquired 2024) | Greenhouse AI Recruiting (2024), automated sourcing assistant, structured interview kits |
| SmartRecruiters | 2010 | Silver Lake (acquired 2024) | Winston AI assistant (2024), automated job posting distribution, candidate ranking |
| Lever | 2012 | Employ Inc. | Nurture campaigns, automated requisition matching |
| Jobvite | 1999 | Employ Inc. | Resume matching, predictive analytics, Brian AI assistant |
| Eightfold AI | 2016 | Private, $396 million raised through 2021, $2 billion valuation | Talent intelligence platform built on a 1.6 billion profile dataset, AI Interviewer, Recruiter Agent, Career Hub |
| Beamery | 2014 | Private, $228 million raised, $1 billion valuation (December 2022) | Talent graph, Ray workforce planning agent, skills based matching |
| Phenom | 2010 | Private | Career site personalization, talent CRM with predictive scoring |
| LinkedIn Recruiter | 2008 | Microsoft | Hiring Assistant AI agent (October 29, 2024), candidate sourcing, InMail drafting |
| Paradox | 2016 | Private | Olivia conversational assistant for high volume hiring, used by McDonald's, Chipotle, and General Motors |
| ZipRecruiter | 2010 | Public (NYSE: ZIP) | Phil AI assistant for candidates, Smart Matching for employers |
| Indeed | 2004 | Recruit Holdings | Smart Sourcing AI candidate matching, automated outreach |
| HireVue | 2004 | Carlyle Group | Video interview scoring, structured interview templates, technical coding assessments. Acquired Modern Hire May 9, 2023 |
| Modern Hire | 2003 (as Shaker Recruitment Marketing) | Acquired by HireVue May 2023 | Pre-hire science assessments, virtual job tryouts |
| Pymetrics | 2013 | Acquired by Harver August 2022 | Neuroscience based behavioral games scored against company specific performance benchmarks |
| Harver | 1986 | Private | Situational judgement tests, cognitive assessments, integrated Pymetrics games |
| HireAbility | 2001 | Private | Resume parsing and structured data extraction |
| Textkernel | 2001 | Acquired Sovren 2022, owned by Main Capital | Resume parsing in 29 languages, LLM Parser (2023) using GPT-3.5 |
| Sovren | 1996 | Acquired by Textkernel 2022 | Resume parsing and semantic matching components licensed to ATS vendors |
| MyInterview | 2015 | Private | Asynchronous video interviews with AI scoring |
| Vervoe | 2016 | Private | Skills based job auditions graded by AI |
| Plum | 2012 | Private | Behavioral assessments with predictive matching |
Workday is the most consequential vendor for class action exposure because the same platform is licensed by thousands of employers and produces a consistent candidate recommendation across all of them. That common architecture is the central allegation in Mobley v. Workday, discussed below.
Video interview platforms record candidates answering pre-set questions and produce numerical scores intended to predict job performance. The largest vendor is HireVue, which says it has run more than 70 million interviews across more than 1,150 customers as of 2024, including more than half of the Fortune 100. Other players include MyInterview, Vervoe, and the assessment products that Modern Hire brought into HireVue through the May 2023 acquisition.
The scoring methods have changed under public pressure. HireVue's original product analyzed facial expressions in addition to speech and word choice. The Electronic Privacy Information Center filed a complaint with the Federal Trade Commission on November 6, 2019, alleging that HireVue's facial analysis was "biased, unprovable, and not replicable." HireVue commissioned an external audit by O'Neil Risk Consulting and Algorithmic Auditing, and on January 19, 2021 announced that the company would stop using facial analysis. The current product scores on speech content, intonation, and behavioral signals.
Hilke Schellmann, an investigative journalist and journalism professor at New York University, ran a widely cited test of MyInterview in 2021. Schellmann answered interview questions in German while reading a Wikipedia entry about psychometrics. The platform produced a transcription that was nonsensical English and still rated her a 73 percent match for an English language role. The vendor told her the score was driven by intonation, not the substance of her answers. The episode has become a standard example of why audio based scoring is hard to validate.
MyInterview, HireVue, and several smaller players continue to be used for high volume entry level hiring, often for retail, hospitality, and call center positions where employers receive hundreds of applications per opening. Civil rights groups have repeatedly raised concerns that asynchronous video interviews disadvantage candidates with disabilities, candidates who do not speak the assessment language as a first language, and candidates without reliable broadband access.
Conversational AI tools handle the volume problem at the top of the funnel. The largest example is Olivia, the conversational assistant built by Paradox, a Scottsdale Arizona vendor founded in 2016 by Aaron Matos and named after Matos's wife. Olivia screens candidates through text and SMS, schedules interviews against recruiter calendars, sends reminders, and answers basic questions about pay and shift schedules.
McDonald's deployed Paradox across its corporate owned restaurants and reported in 2022 that the company had cut hiring time in half. Other large Paradox customers include Chipotle, which reports a 75 percent reduction in time to hire, General Motors, and 7-Eleven. Paradox does not publish pricing.
LinkedIn announced its Hiring Assistant at the Talent Connect conference in Phoenix on October 29, 2024. The product is described as LinkedIn's first AI agent, built to read a job description, suggest candidates from the platform's roughly 1 billion member profile database, draft outreach messages, and ask screening questions. Initial customers included AMD, Canva, Siemens, and Zurich Insurance. LinkedIn published metrics in 2025 claiming that Hiring Assistant users review 81 percent fewer profiles to find a qualified match and save about 1.5 hours per role.
ZipRecruiter built a candidate facing assistant called Phil that recommends roles based on conversational profiling. Indeed's Smart Sourcing tool surfaces candidates against employer job posts using a 24 percent positive response rate benchmark that the company has published.
The specialized talent intelligence vendors compete on the size and freshness of their candidate graphs. Eightfold AI, founded in 2016 by former Google engineer Ashutosh Garg, raised $396.8 million through a 2021 Series E round at a $2.1 billion valuation. The company markets a 1.6 billion profile dataset. Beamery, a London based competitor, raised $50 million in December 2022 at a $1 billion valuation. Phenom raised more than $100 million across multiple rounds and serves enterprise customers including General Motors and AbbVie.
The other side of the AI in employment story is software that monitors workers after they are hired. The category expanded dramatically during the 2020 pandemic as employers tried to manage remote workforces. Most of the major vendors offer some combination of keystroke logging, screenshot capture at random intervals, application and URL tracking, idle time detection, and behavioral analytics built on top of those signals.
| Vendor | Founded | Primary features |
|---|---|---|
| Hubstaff | 2012 | Time tracking, screenshots, app and URL tracking, GPS for mobile teams |
| Time Doctor | 2012 | Time tracking, screenshots, idle detection, payroll integration |
| Teramind | 2014 | Keystroke logging, screen recording, behavioral analytics, insider threat detection |
| ActivTrak | 2009 | Passive monitoring, focus and burnout analytics, no keystroke logging by default |
| Veriato | 1998 | Insider risk monitoring, screen capture, user behavior analytics |
| Sneek | 2017 | Always-on webcam tiles for distributed teams |
| InterGuard | 2002 | Cloud and on-premises monitoring with policy enforcement |
| RemoteDesk | 2017 | AI based identity verification and continuous webcam monitoring for remote agents |
| Crossover WorkSmart | 2010 | Random screenshots and webcam captures every 10 minutes |
| Prodoscore | 2016 | Composite productivity score across email, calendar, and CRM activity |
The most prominent recent controversy was around Microsoft's Productivity Score, launched in October 2020. The original release allowed administrators to see per-user metrics across 73 indicators including how often individual workers turned on their cameras in meetings, sent emails with @ mentions, used Word, Excel, or Teams, and contributed to shared documents. Privacy researcher Wolfie Christl publicized the feature on November 24, 2020, and the criticism intensified through that week. Microsoft announced on December 1, 2020 that it would remove user names from the dashboards and aggregate communication, meeting, content collaboration, teamwork, and mobility metrics only at the organization level.
The broader workforce surveillance market continued to grow regardless. A 2023 study by ExpressVPN found that 78 percent of US employers had monitored worker activity, up from 60 percent in 2019. UnionTrack and the Center for Democracy and Technology have repeatedly raised concerns about the discriminatory effects of always-on monitoring on workers with disabilities and caregivers.
Several high profile audits and journalism investigations have established a pattern. AI tools that are sold as bias mitigators frequently amplify the disparities in their training data, and generative models that are not specifically tuned for hiring produce ranked outputs that vary with candidate name or demographic.
The most famous example is the Amazon resume screening tool that the company scrapped in 2017. Reuters journalist Jeffrey Dastin first reported the story on October 10, 2018. The system, built by an Amazon ML team in Edinburgh from 2014 onward, scored candidates from one to five stars for software engineering and other technical roles. By 2015 the team realized the model was not gender neutral. The system penalized resumes containing the word "women's," downgraded graduates of two all women's colleges, and favored candidates who used verbs that appeared more frequently on male engineer resumes such as "executed" and "captured." Amazon disbanded the team and never deployed the tool. The story is now a standard example in machine learning fairness coursework.
The Electronic Privacy Information Center complaint of November 6, 2019 argued that HireVue's facial analysis produced results that were "biased, unprovable, and not replicable" and pointed out that facial recognition systems have well documented racial accuracy gaps. HireVue commissioned an audit from O'Neil Risk Consulting and Algorithmic Auditing and announced in January 2021 that it would stop using facial analysis. The decision did not affect HireVue's continued use of voice and speech based scoring.
Bloomberg's data investigations team published a study on March 8, 2024 titled "OpenAI's GPT Sorts Resume Names with Racial Bias." The researchers built 800 fictional resumes using the 100 most common first names and 20 most distinct last names associated with white, Black, Hispanic, and Asian demographics in North Carolina voter records and US census data. They ran the resumes against real Fortune 500 job postings 1,000 times each, asking GPT-3.5 and GPT-4 to rank them. Both models produced demographic disparities large enough to fail standard EEOC adverse impact thresholds across nearly every job category tested. The full dataset and code were published on GitHub.
Researchers at the University of Washington Information School, led by Kyra Wilson and Aylin Caliskan, published "Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval" at the AAAI ACM Conference on AI, Ethics, and Society in October 2024. The team ran more than three million comparisons across three open source LLMs from Mistral AI, Salesforce, and Contextual AI. The models preferred resumes with white associated names 85 percent of the time and female associated names only 11 percent of the time, including in occupations such as human resources where women hold most jobs in the labor market.
A 2020 ProPublica analysis described how applicant tracking system filters routinely screened out qualified candidates because of resume formatting issues unrelated to skills or experience. A 2021 Harvard Business School and Accenture study estimated that 27 million workers in the US were classified as "hidden" by ATS rules that screened out non-traditional career paths. The Center for Democracy and Technology, the Lawyers' Committee for Civil Rights Under Law, and Upturn have published several detailed reports cataloguing similar concerns.
Litigation around AI hiring tools moved slowly through US courts for several years before picking up sharply in 2023 and 2024. Two cases dominate the current docket.
Derek L. Mobley, an African American man over forty with anxiety and depression that he characterizes as disabilities under the ADA Amendments Act, filed suit against Workday on February 21, 2023 in the US District Court for the Northern District of California, case number 3:23-cv-00770. Mobley alleges that he applied for more than 100 positions through employers that use Workday's recruiting platform between 2017 and 2022 and was rejected from every one, and that the rejections were driven by Workday's algorithmic candidate scoring rather than the underlying employers' independent judgment. He brought claims under Title VII of the Civil Rights Act of 1964, the Civil Rights Act of 1866, the Age Discrimination in Employment Act of 1967, and the ADA Amendments Act of 2008.
The case was reassigned to District Judge Rita F. Lin on November 27, 2023. Judge Lin granted Workday's first motion to dismiss with leave to amend on January 19, 2024. Mobley filed an amended complaint on February 20, 2024 adding allegations that Workday acted as an employment agency, an indirect employer, and an agent, plus a state law aiding and abetting claim under California's Fair Employment and Housing Act.
The EEOC filed an amicus brief on April 9, 2024 supporting Mobley's agent theory. On July 12, 2024, Judge Lin denied Workday's motion to dismiss the disparate impact claims, holding that an AI vendor whose tools "perform a traditional hiring function" can be liable as an agent of the employer under federal civil rights law. The disparate impact ruling, sometimes mischaracterized in early press accounts as a Judge Vince Chhabria opinion, was Judge Lin's.
On May 16, 2025, Judge Lin granted preliminary collective certification under the ADEA. Workday told the court that approximately 1.1 billion job applications had been processed through its platform during the relevant period, which means the certified collective could number in the hundreds of millions of applicants over forty. Notice to the collective began in summer 2025. The case is set for further class certification and merits proceedings in 2026.
The EEOC's first AI hiring case settled in 2023. The agency sued iTutorGroup, a Shanghai based remote English tutoring company, in the US District Court for the Eastern District of New York on May 5, 2022, case number 1:22-cv-02565. The complaint alleged that iTutorGroup's online application system was programmed to automatically reject female applicants over 55 and male applicants over 60 for tutoring roles, in violation of the Age Discrimination in Employment Act.
The parties filed notice of settlement on August 9, 2023, and the consent decree was entered on September 8, 2023. iTutorGroup agreed to pay $365,000 to more than 200 applicants who had been screened out. The decree also required new anti-discrimination policies, training, and EEOC monitoring for five years. Although the underlying technology was a simple date-of-birth filter rather than a machine learning model, the case is widely cited as the first federal enforcement action against an algorithmic hiring tool.
The Federal Trade Commission has not brought a public enforcement action against an AI hiring vendor as of 2025, although EPIC's 2019 complaint against HireVue remains in the FTC's docket. The New York City Department of Consumer and Worker Protection has issued small fines to several employers for failing to publish bias audit summaries under Local Law 144, but no publicly reported penalty has exceeded $5,000 as of mid 2025. State attorneys general have signaled interest, and the California Civil Rights Department issued employer guidance in 2024 on automated decision systems.
The regulatory landscape is a patchwork. The most consequential rules are city level (New York), state level (Illinois, California, Colorado), federal guidance (EEOC), and supranational (EU AI Act). No US federal statute specifically governs AI in hiring as of 2025.
The New York City Council passed Local Law 144 of 2021 in December 2021. The law governs "automated employment decision tools" or AEDTs, defined as computational processes derived from machine learning, statistical modeling, data analytics, or AI that issue simplified outputs and that substantially assist or replace discretionary human decision making for employment decisions. The law took technical effect on January 1, 2023, and the Department of Consumer and Worker Protection began enforcement on July 5, 2023 after publishing final implementing rules in April 2023.
The core requirements are that any employer or employment agency using an AEDT for a position located in New York City must commission an independent bias audit no more than one year before use, publish a summary of the audit results on the employer's website, and provide candidates with at least ten business days' notice that an AEDT will be used. The audit must report selection or scoring rates and impact ratios broken out by sex, race or ethnicity, and intersectional categories. The DCWP can impose civil penalties between $500 and $1,500 per day per violation. DCWP does not approve or list auditors; selection is the employer's responsibility.
A 2024 Cornell University paper by Lucas Wright and colleagues found that only about 18 of 391 surveyed New York City employers had published the required bias audit summaries within the first six months of enforcement. The Office of the New York State Comptroller issued an enforcement audit in December 2025 that documented continued low compliance.
Illinois enacted Public Act 101-0260 in August 2019, and the law took effect on January 1, 2020. The Artificial Intelligence Video Interview Act (820 ILCS 42) applies to any employer that uses AI to analyze video interviews of applicants for Illinois based positions. Employers must give applicants notice that AI may be used, explain how the AI works and what general types of characteristics it evaluates, obtain consent, restrict sharing of the video to those whose expertise is necessary to evaluate the candidate, and delete the video within 30 days of an applicant's request.
A 2021 amendment added a reporting requirement: employers that rely solely on AI analysis to decide which applicants receive in-person interviews must collect race and ethnicity data on the candidates who were and were not selected, and report the data annually to the Illinois Department of Commerce and Economic Opportunity. A separate Illinois law amending the Illinois Human Rights Act, which took effect January 1, 2026, broadens AI hiring obligations across all employers in the state.
Colorado Governor Jared Polis signed Senate Bill 24-205, the Colorado Artificial Intelligence Act, on May 17, 2024. The law was the first comprehensive US state statute regulating high risk AI systems, and it explicitly covers automated decisions about employment, education, financial services, government services, healthcare, housing, insurance, and legal services. The original effective date was February 1, 2026, later pushed to June 30, 2026 by Senate Bill 4 signed on August 28, 2025. A federal magistrate judge stayed enforcement in April 2026, and the Colorado legislature passed Senate Bill 26-189 in 2026 to narrow the law into a transparency framework rather than a bias audit requirement. The current status of the law is the subject of active litigation and legislative revision.
The original CAIA imposed duties on both developers and deployers of high risk AI to use reasonable care to avoid algorithmic discrimination, to maintain documentation, to conduct impact assessments, and to notify affected consumers of adverse decisions.
The European Union's Artificial Intelligence Act, Regulation (EU) 2024/1689, was adopted on June 13, 2024 and entered into force on August 1, 2024. Most provisions phase in over two to three years. The high risk obligations that apply to most employment uses begin on August 2, 2026.
Annex III of the AI Act classifies the following employment uses as high risk: AI systems used for the recruitment or selection of candidates, including job advertising targeting, application filtering, and candidate evaluation; AI systems used to make decisions about work related contractual relationships, promotion, or termination; AI systems used to allocate tasks based on individual behavior or personal traits; and AI systems used to monitor and evaluate performance and behavior of workers. Deployers in those categories must conduct conformity assessments, maintain risk management documentation, ensure human oversight, log activity, provide transparency to affected workers and candidates, and register the system in the EU database.
Penalties scale with infringement type. Use of prohibited AI practices can trigger fines of up to 35 million euros or 7 percent of global annual turnover. Violations of high risk obligations can trigger fines of up to 15 million euros or 3 percent of turnover. Several EU member states began appointing national supervisory authorities in 2025.
The US Equal Employment Opportunity Commission launched its Artificial Intelligence and Algorithmic Fairness Initiative under Chair Charlotte A. Burrows in October 2021. The agency issued technical assistance documents on the Americans with Disabilities Act and AI in May 2022 and on Title VII adverse impact and AI in May 2023. The EEOC's Strategic Enforcement Plan for fiscal years 2024 through 2028, adopted September 21, 2023, explicitly prioritizes employer use of AI in recruitment, hiring, and other employment decisions. The agency settled iTutorGroup in August 2023 and filed amicus briefs in Mobley v. Workday in 2024.
Federal action stalled after the change in administration in January 2025. The Office of Federal Contract Compliance Programs is no longer active. The current EEOC chair has continued enforcement of existing law but has not pursued new AI specific rulemaking. The result is that state and local rules and private litigation are the main pressure points on AI hiring vendors.
The loudest public claims that AI has displaced workers have come from CEOs of large public companies. Several of those claims have later been adjusted.
IBM Chief Executive Arvind Krishna told Bloomberg on May 1, 2023 that the company would pause hiring for roles that AI could replace, particularly in back office and human resources functions. He estimated that roughly 30 percent of IBM's approximately 26,000 non customer facing roles, or about 7,800 positions, could be replaced by AI and automation over five years. The reduction was expected to come largely through attrition rather than direct layoffs. IBM subsequently launched its watsonx generative AI platform in May 2023 and continued aggressive hiring in AI engineering and consulting.
Dropbox Chief Executive Drew Houston announced on April 27, 2023 that the company would lay off 500 employees, or 16 percent of staff. Houston cited slowing growth and an explicit need to shift the workforce toward AI and early stage product development. The company laid off an additional 528 employees, or 20 percent of staff, in October 2024 as part of a further reorganization tied to the company's Dash AI search product.
Klarna, a Stockholm based buy now pay later fintech, became the most widely cited example of AI driven workforce reduction in 2024. The company published a press release on February 27, 2024 announcing that its OpenAI powered customer service assistant had handled 2.3 million conversations in its first month and was doing "the equivalent work of 700 full time agents." Chief Executive Sebastian Siemiatkowski said publicly that Klarna would not hire any new employees through 2024 because of AI productivity gains. Klarna projected a $40 million profit improvement from the AI deployment.
The reversal came in 2025. Siemiatkowski told Bloomberg in May 2025 that the company had "gone too far" with AI replacement, that service quality had degraded, and that Klarna was hiring human agents again on a flexible remote contractor basis. The episode is now frequently cited by labor economists as evidence that AI productivity claims often outpace measured customer outcomes.
Salesforce Chief Executive Marc Benioff told the 20VC podcast with Harry Stebbings, in an episode released in late December 2024 and widely reported in January and February 2025, that Salesforce would not add any new software engineers in 2025. Benioff said internal engineering productivity had risen more than 30 percent after deployment of Agentforce, the company's autonomous agent product, and that the company expected to add 1,000 to 2,000 sales staff rather than engineers to support customer adoption of Agentforce. By mid 2025 Salesforce had cut about 1,000 customer support roles as Agentforce absorbed routine cases. Benioff later told Fortune in July 2025 that he did not foresee a "white collar jobs apocalypse" because demand for AI implementation was creating new categories of work.
The broader trend is harder to measure. LinkedIn reported in 2024 that the number of applications submitted on the platform had grown more than 45 percent year over year, reaching about 11,000 applications per minute. A significant share of that growth is attributed to applicants using ChatGPT and similar tools to tailor resumes and to bulk apply through automated job application services. Employers have responded by leaning more heavily on AI screening, producing an arms race in which both sides of the hiring interaction are increasingly automated. The 2025 Society for Human Resource Management benchmark survey found that average cost per hire and time to hire both rose during the period of greatest generative AI adoption, contrary to vendor claims of efficiency gains.
Gartner forecast in late 2024 that by 2027, generative AI would automate at least 30 percent of the tasks performed by software engineers, primarily routine boilerplate and configuration work, but cautioned that net hiring effects depended on whether the same productivity gains created additional projects or simply reduced headcount.