AI broke the job application. What replaces it?

U.K. graduate employers received an average of 140 applications per vacancy in 2025, a three-decade high, as generative AI enables candidates to produce tailored resumes and cover letters at scale. Around two-thirds of U.K. organizations have adopted skills-based hiring, while nearly 60% of candidates favor roles defined by skills over qualifications or employment history. Employers including Taktile and PMG are increasingly using practical assessments and evaluating interpersonal judgment, adaptability and AI experimentation rather than relying on resumes, which recruiters argue embed human bias.

Analysis

The relevant investable implication for PageGroup (PAGE) is not near-term candidate-volume upside; it is potential disintermediation of the most commoditized parts of white-collar recruitment. If generative AI makes applicant materials less informative, clients will place greater value on validated assessment, structured interviewing and proprietary candidate-performance data. PAGE can defend pricing only if it converts its recruiter network and client relationships into a higher-value assessment workflow; otherwise, AI-enabled internal talent teams can absorb screening at lower cost, pressuring placement fees and recruiter productivity over the next 6-18 months.

Near term, the article is not an earnings catalyst: the cited adoption data does not establish PAGE's attach rate for assessment products, client willingness to pay, or a measurable improvement in fill rates. The more immediate read-through is modestly positive for HR software vendors with embedded skills taxonomies and workflow data—Workday (WDAY), SAP (SAP) and potentially Paycom (PAYC)—because assessment becomes valuable when integrated with applicant tracking, internal mobility and performance records rather than sold as a stand-alone AI feature.

The contrarian view is that AI-generated application volume may initially increase the need for intermediaries, especially for specialist roles where hiring managers cannot evaluate technical output efficiently. That would support PAGE's candidate screening economics in a weak labor market. The key falsifier is whether PAGE reports rising net fee income per consultant, stable placement-fee rates and tangible conversion gains from technology; absent those, elevated application volumes should be treated as a cost-to-serve problem rather than a demand tailwind.

Key Decisions for Investors

• Maintain no directional PAGE position solely on this development; reassess after the next results for consultant productivity, net fee income per placement and any quantified assessment/AI revenue contribution. A sustained decline in fee rates or productivity would support a 6-12 month underweight.
• Watch-list pair: long WDAY / short PAGE over 6-12 months only if PAGE's next two reporting periods show fee compression while WDAY demonstrates recruiting-suite subscription growth or skills-based hiring adoption. This expresses value shifting from agency screening toward enterprise workflow software.
• For existing PAGE longs, use guidance on permanent-placement fees and recruiter headcount as risk controls rather than headline application-volume data. Evidence that AI raises screening labor without improving fill rates would justify reducing exposure.
• Do not buy HR-tech optionality from this article alone. A trade in WDAY, SAP or PAYC requires confirmation that skills assessment is driving incremental module adoption, retention, or pricing—not merely feature announcements.