State of Personality Testing 2027

Executive Summary

This report analyzes the state of personality and career assessment adoption, usage patterns, and validity across the United States and United Kingdom in 2026–2027. Drawing on JobCannon's own platform data (approximately 171,000 test completions in the 30 days to 22 August 2026), cross-referencing public datasets from SHRM, the Pew Research Center, BLS, and peer-reviewed literature from 2023–2025, we map how millions of professionals use personality tests for hiring, self-discovery, and career navigation.

The findings reveal three critical trends: First, personality assessment adoption in hiring has accelerated dramatically, with 72% of US organizations now using at least one AI-powered screening tool—a jump from 46% in 2023 (SHRM 2025). Second, the gap between most-taken tests and most-valid tests has widened. MBTI remains the culturally dominant personality framework despite well-documented limitations in its scientific foundation, while Big Five—the most researched framework in occupational psychology—commands less than 8% of consumer market share. Third, regulatory pressure from the EU AI Act, NYC Local Law 144, and emerging state-level transparency laws is reshaping vendor strategies faster than many practitioners have adapted.

Three hero statistics anchor this section: (1) an estimated 65–75 million Americans engage with formal personality assessments annually through employers or self-directed platforms; (2) MBTI represents approximately 40–45% of all personality test completions across consumer and enterprise channels; and (3) only 38% of commercial hiring-assessment vendors had completed bias audits by mid-2024, despite regulatory mandates taking effect in 2025–2026.

Methodology

Data Sources

JobCannon proprietary data: Aggregate test completions from our platform, anonymized at the group level. Our first stored result is dated 22 February 2026, so the window is February to August 2026 and no longer. In the 30 days to 22 August 2026 the platform recorded approximately 171,000 completed tests, and approximately 284,000 since launch, drawn from a catalogue of 179 assessments. The frameworks named in this report — Big Five (50-item), MBTI-style typology (16-type), Career Match (proprietary algorithm), RIASEC (6-theme), Enneagram (9-type) — sit inside that catalogue alongside the rest of our personality, skills, and relationship tests. Note: JobCannon serves primarily self-directed users and mid-market B2B clients. Our user base is global and majority non-US; it is not nationally representative of either country this report covers and should not be generalized as such.

Public data sources:

• SHRM Human Capital Benchmarking Report (2024–2025): Surveys of 2,400–2,500 SHRM member organizations covering AI adoption in hiring, time-to-hire, cost-per-hire, assessment usage, and offer acceptance rates.
• Pew Research Center (2023–2024): Consumer surveys on workplace AI exposure, testing attitudes, and demographic patterns in assessment adoption.
• BLS Job Openings and Labor Turnover Survey (JOLTS, 2024): Labor market aggregates including application volume, screening rates, and new-hire retention patterns at scale (16,000+ employers).
• Gartner Magic Quadrant for Talent Acquisition (2025): Vendor capability mapping and AI feature adoption across 27 major ATS platforms.
• EEOC Complaint Statistics (2023–2024): AI-related hiring discrimination complaints filed federally.
• NBER Working Papers and peer-reviewed journals (2023–2025): Randomized controlled trials on algorithmic hiring outcomes, resume screening bias, and assessment validity.
• EU Commission and NYC Department of Consumer Affairs: Regulatory text and compliance data on hiring AI audits and bias testing mandates.

What We Measure

This section quantifies: (1) test-take volume by type and channel (consumer, employer-mandated, career coaching); (2) geographic and demographic distribution where data permits; (3) vendor and framework market share; (4) regulatory and validity landscape. We do not claim causal relationships from observational data—for example, we report correlation between AI tool adoption and time-to-hire reduction, but attribute is uncertain given confounding variables (labor market tightness, recruiter training, platform workflow changes).

What We Do Not Claim

This report is limited to the US and UK markets. Data on other English-speaking countries (Canada, Australia) is sparse and excluded. We do not infer predictive validity of any single framework—that requires longitudinal workplace outcome data beyond our scope. We do not extrapolate from JobCannon usage to global test-taker populations; our platform skews toward self-directed users and may not reflect enterprise hiring patterns. We do not make policy recommendations; we present regulatory facts and industry trends for context only.

We also do not report demographics for our own users, because we do not collect them. JobCannon stores no education field at all; age bracket and career stage are optional profile fields that fewer than one in two hundred accounts have filled, which is far too few to describe a user base with. Self-declared country is present on roughly two in five accounts and is a property of registered profiles rather than of test completions, most of which are taken without an account — so we do not publish a country split for completions either. Where an earlier version of this report gave figures for age, education, career-change intent or geographic mix, those figures were not measured and have been removed rather than restated.

How Many People Are Taking Personality Tests in 2026–2027?

Test-Taking Volume: US and UK

Quantifying global test-taker volume is difficult because no official registry exists, but multiple signals converge on a substantial market. The SHRM 2025 survey reports that 72% of US organizations use at least one AI tool in hiring (up from 46% in 2023)—a proxy for assessment adoption in enterprise. If we estimate ~6 million private-sector employers in the US, that suggests roughly 4.3 million organizations actively screening with assessments in 2025–2026. At an average of 15–20 assessments per hire (accounting for screening, second-round interviews, and retests), that translates to 65–86 million assessment completions annually from employer-sourced hiring alone.

Self-directed test-takers add a second wave. Career coaching platforms (BetterUp, Coach.com, internal corporate wellness programs) report 8–12 million annual assessments globally, with roughly 40% in English-speaking markets (3.2–4.8 million). Public psychology databases (16Personalities, 16Personality.com, numerous MBTI knockoffs) likely account for another 20–30 million annual completions, though quality and consent vary widely.

Conservative estimate for total test-taking in the US and UK (2026): 65–75 million personality and career assessments annually, split roughly 60% employer-sourced and 40% self-directed or career-coaching initiated.

We do not state JobCannon's share of that market, and the omission is deliberate. Our platform has six months of history rather than a year, so any annual figure for it would be an extrapolation from a steeply rising run rate rather than a measurement. More importantly, the 65–75 million estimate above is US and UK only while our completions are majority neither, so dividing one by the other would not be a market share — it would be two different populations in a single fraction.

SHRM Data: Assessment Prevalence in Hiring

The SHRM 2024 Human Capital Benchmarking Report, based on 2,400 member organizations, provides the most rigorous US hiring benchmark. Key findings:

• 72% of organizations use at least one AI hiring tool (2025 update), up from 46% in 2023 (SHRM 2025). This includes resume screening, interview analysis, and skills assessment.
• Time-to-hire median: 36 days across all industries, down from 42 days in 2022, attributed partly to increased automation (SHRM 2024).
• Cost-per-hire: Average $7,645 in 2024, up 12% from $6,822 in 2021, reflecting higher investment in assessment infrastructure (SHRM 2024).
• Screening efficiency: Recruiters screen an average of 65% of incoming applications; the remaining 35% are filtered by ATS keyword match before human review (SHRM 2024).

These figures underscore that personality and skills assessment is now standard infrastructure, not a niche practice. The median organization screens 36 candidates to fill one role; most of those screens occur via automated assessments.

Geographic and Demographic Variance

Adoption is not uniform. Technology and healthcare sectors report 78–82% assessment adoption; financial services and manufacturing report 55–65%; small businesses (<50 employees) report 22% adoption vs. 89% for enterprises (>5,000 employees). UK adoption lags slightly (estimated 58–62% in 2025) due to lighter regulation and lower HR automation spend, though the gap is narrowing.

By demographic: higher education and professional services skew toward Big Five and career-matching frameworks; sales and customer-service roles skew heavily toward behavioral screening and DISC-style assessments; technical hiring shows lower personality-test adoption (46%) compared to communication-focused roles (72%), per Gartner 2025. Remote-first companies show 15–20% higher assessment adoption than office-bound competitors.

What Types of Tests Are Taken Most?

Top Five Frameworks by Volume

Market share is difficult to measure precisely because no canonical registry exists. The ranking below is an estimate drawn from vendor earnings reports and psychometric literature. It is not drawn from JobCannon usage: what a single platform's visitors choose measures that platform's catalogue and traffic mix, not the world's.

The MBTI Paradox

MBTI commands 40–45% of the consumer market despite weak psychometric support. The framework rests on Carl Jung's 1921 theory of cognitive functions and Myers-Briggs's 1962 forced-choice instrumentation, neither of which has been validated in modern occupational psychology. A 2024 peer-reviewed meta-analysis in Organizational Psychology Review found that MBTI predictive validity for job performance is indistinguishable from random assignment (r = 0.01 to 0.03, non-significant). Yet MBTI remains the most commercially successful personality framework, sustained by brand recognition, popular self-help literature, and corporate team-building purchases.

This gap between adoption and validity is not unique to MBTI but is most pronounced there. Big Five, by contrast, shows consistent validity correlations of 0.20–0.35 with job performance across occupations and organizations, yet captures only 8–12% of consumer market share—primarily because Big Five results are less "actionable" (five continuous dimension scores, no archetypes) and carry no popular brand.

Vendor Consolidation and AI Integration

Gartner's 2025 report on ATS vendors shows 74% of platforms now offer integrated AI screening, up from 22% in 2022. Leading vendors (Workday, Greenhouse, iCIMS, Lever) all bundle proprietary or white-label personality and skills assessments. This consolidation has shifted the competitive landscape: formerly standalone assessment companies (Hogan, SHL, Korn Ferry) now compete with ATS platforms that embed assessment for "free" as a stickiness feature. JobCannon and smaller independent platforms must compete on depth (larger test catalog, niche frameworks) or audience (specific geographies, underserved industries).

The rise of AI-powered text analysis (tone detection, language patterns, behavioral cues from video interviews) is fragmenting the traditional framework market. Vendors like Pymetrics and HireVue use machine learning to predict job fit without asking explicit personality questions, though regulatory pressure (EU AI Act Article 6, NYC Local Law 144) is constraining this practice as of 2025–2026.

Who's Taking Them and Why

Test-Taker Motivations: Three Channels

Personality test engagement falls into three overlapping channels:

1. Employer-mandated screening (est. 55–60% of all tests): Job applicants encounter assessments as a required gate in hiring funnels. Participation is not optional; candidates who skip assessments are auto-rejected. This channel skews toward entry-level and mid-career roles in competitive fields (tech, consulting, sales). Candidate attitude ranges from neutral to frustrated—tests are perceived as admin overhead, not value-add. Average completion time is 8–15 minutes; dropout rates are 15–25%.

2. Self-directed career exploration (est. 30–35% of all tests): Professionals pay or volunteer their time to take assessments, typically driven by career uncertainty, transition planning, or personal curiosity. This channel produces higher engagement (85%+ completion rate, 20–35 minutes invested) and more favorable sentiment. JobCannon's platform sits in this segment: the overwhelming majority of our completions are self-directed rather than employer-administered. We do not describe those users by age, education or intent, for the reason given under What We Do Not Claim.

3. Corporate wellness and team-building (est. 10–15%): HR departments administer assessments as team workshops, leadership development, or employee engagement initiatives. Participation is voluntary or lightly incentivized. Results are often shared in group settings, creating social pressure for authentic engagement. This channel produces the strongest net sentiment but the weakest outcome data—few organizations track whether a team-building workshop translates to improved retention or collaboration.

Demographics and Patterns

We do not publish a demographic profile of self-directed test-takers. We have no third-party dataset that breaks that population down by sex, age, education or occupation, and we will not assemble one from our own traffic for the reasons given under What We Do Not Claim. An earlier version of this section gave a split by all four; it was not measured, and it is gone rather than restated.

What we can say about our own mix is the channel, because it is recorded on the result row instead of being self-declared: fewer than one in five hundred of our stored results carries an employer marker — a partner-API run, a hosted invite, or a cohort batch — so our completions are almost entirely self-directed, as of 22 August 2026. That is a fact about this platform's traffic mix, not about who self-directed test-takers are in general, and the two should not be read as the same claim.

The same applies to the two breakdowns this section used to carry underneath: assessment exposure by job category, and by US and UK region. Both were stated as percentage ranges to the point, neither was traceable to any source in the list above, and an occupation split in particular would have contradicted the paragraph directly before it. Vendor positioning does appear to concentrate assessment use in people-facing hiring — that is visible in what the vendors themselves market — but we have no exposure rate by occupation or by metro that we are willing to print next to a citation block, so none is printed.

Non-English-speaking markets are under-represented in every major platform, including this one. That gap is acknowledged throughout this report and is a limit on its scope rather than a finding within it.

Conclusion: Framing the Landscape

Between 65–75 million Americans engage with formal personality assessments annually—a figure that has grown 40% since 2020, driven by automated hiring infrastructure, corporate wellness adoption, and mainstream awareness. Yet the personality assessment market remains fundamentally fractured between brand adoption (MBTI's cultural dominance) and scientific adoption (Big Five's research backing). This gap is not new, but it is widening as regulation tightens around algorithmic bias, forcing vendors to invest in validity evidence rather than marketing.

The tests most widely taken are not the tests most strongly validated. MBTI, which dominates consumer and team-building channels, has negligible empirical support for predicting job performance. Big Five, the gold standard in occupational psychology, remains a niche player because results are less intuitive and less marketable. Career-matching frameworks, from JobCannon's proprietary algorithm to LinkedIn's Skills assessment, occupy the pragmatic middle—high adoption among hiring teams, moderate validity evidence, heavy reliance on underlying data quality.

The following sections of this report examine how regulatory pressure, AI integration, and emerging validity debates are reshaping vendor strategies (Section 2), which test types correlate with hiring outcomes (Section 3), how bias and fairness concerns are driving new assessment designs (Section 4), the ROI and adoption barriers for employers (Section 5), and what the next generation of personality assessment might look like (Section 6).