1. The Creativity Paradox

Tell most people that they are not creative, and they will disagree. The idea that creativity is a broadly distributed human capacity — that everyone has a creative spark waiting to be ignited — has been propagated so thoroughly by popular culture, educational theory, and workplace development programmes that it has become essentially unquestioned. Psychologists, to their discredit, have not always pushed back.

The data does not support it. Peterson’s research team developed the Creative Achievement Questionnaire (CAQ) — one of the most widely used measures of creative behaviour — to assess not the potential for creativity (ideation), but actual creative achievement: measurable output in recognised creative domains, verified by professionals in each field. The results are Pareto-distributed rather than normally distributed. Eighty-six percent of people score either 0 or 1 across any given creative domain. A very small proportion of individuals account for the bulk of creative output [Peterson, 2017].

Picasso produced 65,000 works of art — approximately three per day for 60 years. Bach composed so much music that a professional copyist would require decades of eight-hour days merely to transcribe it. Fifty percent of the entire classical music repertoire derives from just five composers, and 95% of what is actually performed draws from only 5% of their total output [Peterson, 2017]. Creativity, genuine creative achievement, is one of the most unequally distributed capacities in human nature. Understanding which personality traits underpin it is not an academic exercise. It is a practical necessity for any organisation that wants to identify, deploy, and retain the small proportion of individuals who can generate genuinely novel and valuable ideas.

2. What Is Openness to Experience?

Openness to Experience is the Big Five personality trait associated with intelligence, creativity, abstract thinking, and artistic interest [McCrae and Costa, 1987; LePine, 2003]. It is the only Big Five trait with a meaningful correlation with IQ — general intelligence — and, in large part, reflects the expression of cognitive ability in personality. Open people are original, imaginative, creative, complex, curious, and broadly interested. They are motivated by ideas and aesthetic experience for their own sake; they orient their worlds around intellectual and artistic pursuits. Low-openness individuals are conventional, concrete, practical, traditional, and set in their ways [Costa and McCrae, 1992].

Peterson’s (2017) framing of the attentional hierarchy is helpful here: open people’s attention gravitates upward in the conceptual hierarchy — toward broader, lower-resolution ideas, patterns, and possibilities. Less open individuals’ attention gravitates downward — toward the concrete, the implementable, the immediately actionable. Neither is inherently superior. Sometimes it is most useful to concentrate on the big picture, sometimes on the details. Organisations that understand this distinction and build their teams accordingly benefit from both.

2.1 Two Distinct Aspects: Openness and Intellect

Openness to experience divides into two separable aspects that predict meaningfully different outcomes [Peterson, 2017; DeYoung et al., 2007]:

Openness (the aesthetic-creative dimension) describes orientation toward the beauty of nature, deep immersion in music, appreciation of poetry, need for a creative outlet, seeing beauty in things others do not notice, and daydreaming and reflective thought. People high in this aspect are imaginative and artistic; their internal life is rich and affect-laden. They perceive patterns and connections that others miss. This aspect is most strongly predictive of creative achievement in the arts — music, visual art, literature, performance [DeYoung et al., 2015; PMC4459939].

Intellect (the idea-analytic dimension) describes quick understanding of abstract ideas, the capacity to handle large amounts of information, enjoyment of complex problem-solving, fluency with philosophical discussion, rapid vocabulary, and clear formulation of ideas. Intellect is, in Peterson’s formulation, ‘the personality reflection of intelligence’ — the observable trait-level expression of what IQ measures directly. This aspect is most strongly predictive of creative achievement in the sciences — research, mathematics, technology, engineering [DeYoung et al., 2015]. IQ is strongly positively correlated with both aspects, but particularly with Intellect.

This distinction has direct practical implications. Seeking ‘creative’ individuals without distinguishing between artistic openness and analytical intellect leads to mismatched hiring. A research function needs high Intellect; a design function needs high Openness; most knowledge-work functions benefit from both. The traits are correlated but separable, and the difference matters.

2.2 IQ: The Capacity That Openness Reflects

Because Intellect is the personality reflection of IQ, it is worth understanding what IQ actually measures. IQ reflects a person’s capacity to learn, their processing speed, and the number of abstract variables they can manipulate simultaneously [Peterson, 2017]. It is the single most reliable psychometric measure in all of psychology — more stable across time and contexts than any personality measure — and IQ is the strongest predictor of both job performance and life success across virtually every context in which it has been studied. Conscientiousness is the second-best predictor; openness, through its correlation with IQ, captures part of the same variance.

The U.S. military — one of the most data-driven talent organisations in history — found that there is no training programme capable of making an individual with an IQ below 83 more useful than burdensome and accordingly made it illegal to induct such individuals. Approximately 10% of the general population falls below this threshold [Peterson, 2017]. The practical implication: cognitive ability is not infinitely malleable, and organisations that invest in training as a substitute for selection are working against the evidence.

3. The Pareto Distribution of Creative Ability

The Pareto principle — the observation that 80% of outcomes derive from 20% of causes — describes a wide range of phenomena: the distribution of wealth in societies, the size of cities, the mass of stars, business productivity. It also describes, with striking precision, the distribution of creative output [Peterson, 2017].

The rule for the Pareto distribution in human performance is approximately that the square root of the number of people in a domain does half the work. In a team of 10, roughly 3 members do half the productive work. In a company of 100, 10. In an organisation of 10,000, 100. In large organisations, incompetence tends to grow exponentially as scale increases, while competence grows only linearly [Peterson, 2017]. The practical implication for organisations is stark: most productive work in any creative domain is done by a very small number of people, and identifying, retaining, and deploying those individuals is among the most consequential things any organisation can do.

This insight has direct implications for layoff decisions. In a large organisation with, say, 200 highly productive individuals out of 10,000 employees, those 200 likely know who they are, and so do the people around them. When layoffs are announced, it is precisely the high-performers — those with the strongest external reputations and the most transferable skills — who are first to leave. The sinking ship loses its engineers first [Peterson, 2017]. Deloitte’s 2024 Human Capital Trends report confirms this dynamic in the modern context: as AI and automation commoditise routine cognitive work, the premium on genuine creative and intellectual talent — the Pareto tail of the openness distribution — grows rather than shrinks.

"The rule for the Pareto distribution is something like the square root of the number of people in a given domain do half the work. If you have 10 employees, 3 of them do half the work." — Jordan B. Peterson, Lecture 8 (2017)

4. The Evidence Base: What Openness Predicts

The evidence for the organisational benefits of openness is real but specific, and it contains a genuine puzzle.

4.1 The Innovation Connection: Openness’s Strongest Suit

Openness is the personality trait most strongly and consistently related to innovation behaviour in the workplace. A major 2025 meta-analysis (‘The Relationship Between the Big Five Personality Model and Innovation Behaviour’, Behavioral Sciences, 2025) synthesised 91 studies with a combined sample of 32,786 participants using a three-level meta-analytic approach. The findings: openness was the strongest Big Five predictor of innovation behaviour (r = 0.406), substantially ahead of extraversion (r = 0.351), conscientiousness (r = 0.292), and agreeableness (r = 0.116). Neuroticism showed a weak negative relationship (r = −0.083).

The mechanism is twofold. The Intellect aspect promotes innovation through knowledge accumulation and crystallised intelligence, enabling individuals to build on and extend existing ideas. The Openness aspect stimulates metaphorical thinking and cross-domain connection-making, enabling individuals to combine ideas in genuinely novel ways. Together, these mechanisms explain why open individuals are significantly more engaged in change-oriented and proactive behaviours in organisations: they recognise the significance of change, value novelty for its own sake, and are temperamentally motivated to pursue it [Behavioral Sciences, 2025].

In 2024 and beyond, the World Economic Forum's ranking of creativity in the top three required workplace skills reflects this connection: in a world where AI increasingly handles routine cognitive tasks, the creative and conceptual capacities associated with high openness become differentiating rather than merely useful. Deloitte’s 2024 analysis found that organisations struggling to encourage curiosity often do so because leaders believe the organisation would become harder to manage if people were allowed to explore their own interests — a constraint that directly suppresses the trait-relevant cues that activate openness.

4.2 Adaptability and Long-Term Performance

Openness is a meaningful predictor of performance, specifically in novel, complex, or rapidly changing environments [Griffin and Hesketh, 2004]. High-openness individuals tend to be more adaptable and responsive to the changes required to succeed in dynamic team environments [LePine, 2003], and may perform at a higher level than their less open teammates over the long term [Minbashian et al., 2013]. Openness may also help decelerate the decline in performance over time in roles requiring sustained learning and adaptation [Minbashian et al., 2013]. For high-complexity roles, openness is a particularly valid predictor of job performance: a 2025 meta-analysis (Journal of Work and Organisational Psychology, 2025) found that openness to experience is a better predictor of performance in high-complexity occupations than in low-complexity ones.

4.3 The Earnings Connection

A meta-analysis of Big Five personality traits and earnings (‘The Big Five personality traits and earnings’, Science Direct, 2022) provided robust support for a positive association between openness and personal earnings — alongside conscientiousness and extraversion. Open individuals, particularly those high in Intellect, are economically rewarded for their intellectual and creative capacities in knowledge-intensive labour markets. The unique correlation between openness and cognitive ability (r = 0.26 with IQ in the largest meta-analysis to date) means that openness captures, in part, the cognitive premium that the labour market rewards.

4.4 The Puzzle: Why Is Openness Such a Weak Predictor of Individual Job Performance?

Despite its strong relationship with intelligence, creativity, and innovation behaviour, openness is consistently the weakest Big Five predictor of individual job performance in standard occupational research [Barrick et al., 2001; Blickle et al., 2013; Driskell et al., 1987]. Some have suggested the relationship is inconclusive and non-significant [Penney et al., 2011; Salgado, 1997]. Others have proposed that a two-factor model of openness may provide better prediction [Griffin and Hesketh, 2004].

The resolution lies in context-specificity. The relationship between openness and performance is not zero — it is conditionally positive: openness predicts better when tasks are novel or complex, when adaptability is required, when change is endemic rather than exceptional, and when the role explicitly rewards creative or analytical thinking [Griffin and Hesketh, 2004; Keca, 2019]. In routine, structured roles with well-defined procedures and minimal ambiguity, openness provides little advantage. In those environments, conscientiousness is far more predictive. The practical implication is not that openness is unimportant — it is that deploying it in the wrong context produces neither satisfaction nor performance.

"Sometimes, it’s useful to concentrate on the details, and sometimes it’s useful to concentrate on the big picture. You probably want to have people of both types around." — Jordan B. Peterson, Lecture 8 (2017)

5. Openness vs. Intellect: Different Domains of Creative Achievement

Research by DeYoung, Peterson and colleagues [DeYoung et al., 2015; PMC4459939] confirmed that the two aspects of openness predict different domains of creative achievement:

• Openness (aesthetic dimension) independently predicts creative achievement in the arts — music, visual art, literature, performance, and craft. After controlling for the other Big Five traits, general cognitive ability, and divergent thinking, openness remained a significant predictor of artistic achievement across all four samples.
• Intellect (analytic dimension) independently predicts creative achievement in the sciences — mathematics, research, engineering, and technology. After controlling for the same variables, intellect remained a significant predictor of scientific achievement.
• Extraversion also predicted creative achievement in the arts (but not the sciences), independently of openness — suggesting that the social energy and enthusiasm of extraverts provide a separate contribution to artistic creative output.

The divergent thinking test — the classic measure of creative ideation, asking subjects to generate as many uses as possible for a common object within a time limit — correlates meaningfully with trait openness and is a decent predictor of long-term creative achievement. But Peterson (2017) argues that the CAQ — which measures actual output in recognised creative domains — provides a more valid and practically useful measure: it is not enough to think creatively; you must produce something as a consequence of it for it to constitute genuine creativity.

6. Openness in Team Contexts

Openness is the Big Five trait with the most equivocal and context-dependent relationships in team research. The thesis research [Keca, 2019] found no main or interaction effects between team openness and team outcomes — consistent with the broader empirical pattern of weak and frequently inconclusive results at the team level [Prewett et al., 2009; Prewett et al., 2016]. Yet the theoretical case for the importance of openness in teams is strong. The resolution lies in understanding precisely when and how it operates.

6.1 Openness as a Complementary Trait

Unlike conscientiousness (supplementary — teams benefit from homogeneous high levels) or agreeableness (supplementary — low-variance at the high pole is optimal), openness is a complementary trait in team composition [Humphrey et al., 2007; Keca, 2019]. This means that heterogeneity in openness within a team is potentially beneficial — not homogeneity.

The reasoning: a team composed entirely of highly open individuals is a team of explorers. They generate ideas, connect concepts, pursue novelty, and examine problems from multiple angles. But they may never converge. Teams of highly open individuals risk becoming perpetual brainstorming sessions that never reach implementation. The perpetual exploration trap — in which creative options are endlessly generated but decisions are never made and tasks never completed — is the characteristic failure mode of over-open teams [Humphrey et al., 2007].

The optimal team composition for most knowledge-work contexts combines highly open individuals (who generate, explore, and identify novel approaches) with highly conscientious individuals (who implement, follow through, and drive to completion) and moderately agreeable individuals (who facilitate the interpersonal negotiation between these two temperamentally different groups). Research (Illumyx, 2024) corroborates this: ‘A mix of high and low openness within a team can create a balance between innovation and stability. High-openness members can generate new ideas, while low-openness members can help implement and maintain established processes.’

Optimal team configuration: Seed teams with several high-openness individuals in creative, innovative, or change-intensive contexts. For stable, execution-focused environments, one or two high-openness members suffice. Ensure the team includes highly conscientious members who can implement what the open individuals generate — openness without conscientiousness produces ideas, not outcomes.

6.2 Openness and Trait Activation in Teams

Trait Activation Theory (TAT) [Tett and Burnett, 2003; Tett and Guterman, 2000] explains the contextual dependency of openness’s effects. For openness to be expressed and to produce its characteristic outcomes — curiosity, exploration, creative connection-making — the situation must provide trait-relevant cues: novel problems, ambiguous contexts, permission to explore, and recognition that creative output is valued. In strong situations where tasks are well-defined, procedures are clear, and the premium is on reliable execution, openness-relevant cues are suppressed, and the trait has little opportunity to express itself.

This explains both why highly open individuals can be frustrated in routine, structured roles — their trait is chronically unsatisfied — and why openness’s contribution to team performance is most visible in novel and complex task environments, where the situational cues are precisely those that activate it. For teams undertaking knowledge work in distributed, changing environments — the context of the doctoral research [Keca, 2019] — openness should theoretically be particularly salient. The absence of strong main effects in that research may reflect the complexity of the three-way interactions involved rather than the absence of openness’s contribution to performance.

6.3 The Conflict Risk of High Openness Teams

Despite the potential for innovation, teams high in openness also show characteristic difficulties. A team that is high in openness will experience greater conflict and lower task cohesion, because the constant pull of new ideas distracts focus from task completion and because open individuals value exploration over convergence [Van Vianen and De Dreu, 2001]. In teams where sustained collaborative output requires sustained goal focus — most professional project teams — unconstrained openness is both a liability and an asset.

Individual flexibility and imagination are also constrained by the team context: even a highly open individual will hesitate to express flexible, novel thinking if other team members respond with rigidity and norm-enforcement for reciprocity [Keca, 2019]. This means that openness requires a psychologically safe, supportive social environment to be reliably expressed — not just individuals with the trait, but situations that provide trait-relevant cues and social permission to explore.

7. Recent Research: Extending the Evidence Base

7.1 Openness Is the Strongest Personality Predictor of Innovation Behaviour (2025)

The 2025 meta-analysis in Behavioral Sciences (91 studies; N = 32,786) provides the most comprehensive quantification of the openness-innovation relationship to date. Openness was the strongest Big Five predictor of innovation behaviour (r = 0.406), with the relationship holding across samples and measurement instruments, though effect sizes were somewhat larger in student samples than in employee samples. The study confirmed the two mechanisms: knowledge accumulation (Intellect aspect) and metaphorical thinking (Openness aspect). Both contribute independently to innovation behaviour, and their combined effect makes openness — broadly construed — the most important personality driver of organisational innovation [Behavioral Sciences, 2025].

7.2 Openness and the AI Era: Creativity as the Human Differentiator

Deloitte’s 2024 Human Capital Trends analysis identified human creativity — closely mapped to high openness — as the key differentiating human capacity in the age of AI. As AI systems increasingly commoditise analytical, procedural, and even creative tasks at the level of competent execution, the Pareto tail of human creative output — the genuinely novel, the genuinely original, the genuinely insightful — becomes more rather than less valuable. Organisations that win in the next decade will be those that identify their Pareto-distributed creative individuals, provide the situational conditions that activate their openness, and build the implementation infrastructure (conscientious execution capacity) to convert their ideas into outcomes [Deloitte, 2024].

7.3 Openness Predicts Earnings via Cognitive Premium (2022)

The 2022 meta-analysis of Big Five traits and earnings confirmed a robust positive association between openness and income, reflecting the labour market’s increasing premium on cognitive and creative capacity. Combined with openness’ unique correlation with IQ among the Big Five, this finding places the trait at the intersection of personality and cognitive ability assessment — suggesting that openness captures not just stylistic differences in how people approach problems, but genuine differences in cognitive power. The 2025 meta-analysis [Journal of Work and Organisational Psychology, 2025] confirmed that only openness shares meaningful validity with cognitive intelligence among the Big Five (r = 0.18), with all other traits showing near-zero correlations.

7.4 Openness and Arts vs. Sciences: Aspect-Level Differentiation

Research by DeYoung et al. (2015), building on Peterson’s Creative Achievement Questionnaire, confirmed the differential predictive validity of the two openness aspects. Openness (aesthetic) predicts arts achievement independently of IQ and divergent thinking. Intellect (analytic) predicts scientific achievement independently of IQ and divergent thinking. This distinction is practically important for organisations: hiring for ‘creative talent’ without distinguishing between these two aspects — and without matching them to role requirements — will consistently produce mismatches that frustrate both the individual and the team [DeYoung et al., 2015].

8. Practical Recommendations

8.1 Distinguish Openness from Intellect in Hiring and Role Design

The two aspects of openness have different applications. Roles requiring artistic creativity, design thinking, and lateral idea generation — such as marketing, product design, and communications — particularly benefit from the Openness aspect. Roles requiring analytical rigour, complex problem-solving, and rapid knowledge integration — research, technology, strategy, finance — particularly benefit from Intellect. Avoid using undifferentiated openness scales for selection without considering which aspect is most relevant to the specific role.

8.2 Identify the Pareto Creative Individuals and Protect Them

In any creative domain, the Pareto distribution means that a very small number of individuals account for a disproportionate share of productive creative output. Identifying who those individuals are — and this is harder than it sounds, particularly if the organisation is performing poorly and attention has drifted from performance to politics — is among the most consequential talent management interventions available. These individuals are the first to leave during restructuring. Retaining them requires both recognition and the provision of situational conditions that activate their openness: autonomy, novel challenges, permission to explore, and a genuine organisational appetite for the ideas they generate.

8.3 Pair Openness with Conscientiousness in Team Composition

Open individuals generate ideas; conscientious individuals implement them. This is not a criticism of either — it is a description of the complementary nature of their respective contributions. Teams that combine high-openness individuals with high-conscientiousness individuals, connected by moderately agreeable colleagues who can manage the interpersonal interface between these very different working styles, are structurally better positioned for sustained innovation than teams composed only of explorers or only of implementers. The 80/20 principle applies to this as well: it is worth investing in the compositional design that gets the combination right.

8.4 Create Situations That Activate Openness

Consistent with Trait Activation Theory, openness is expressed when the environment provides trait-relevant cues: novel problems, ambiguous contexts, safe space for exploration, and genuine valuation of creative output. Organisations that want creative contributions from open employees must design the situations that make those contributions possible. This means moving beyond aspirational statements about innovation culture to concrete structural interventions: hackathons, R&D time, protected exploration space, and governance frameworks that explicitly consider creativity as an investment criterion [Deloitte, 2024]. Without trait-relevant situational cues, the openness of even highly open individuals remains largely unexpressed.

8.5 Use the Creative Achievement Questionnaire for Assessment

Where genuine creative output is the criterion of interest, the Creative Achievement Questionnaire — which measures actual creative accomplishment across recognised domains, verified by professionals — provides more valid prediction than standard divergent thinking tests or self-report openness scales alone. Combining CAQ data with a validated openness/intellect assessment provides the most complete picture of an individual’s creative contribution potential.

9. Conclusion

Openness to experience is the most intellectually fascinating of the Big Five personality traits, and the one that generates the most productive tension between popular belief and research evidence. Popular culture says everyone is creative. The research says most people are not. Popular culture says we should maximise openness in our teams. The research says teams of highly open individuals tend to explore endlessly and implement rarely. Popular culture says hire for creativity. The research says first clarify whether you mean aesthetic creativity (Openness) or analytical creativity (Intellect) and then match the aspect to the role.

What the research does confirm — unambiguously and with growing evidence — is that openness is the strongest personality predictor of innovation behaviour, that it shares meaningful variance with general cognitive ability (making it the personality trait most proximate to IQ), and that in a world where AI is rapidly commoditising routine cognitive work, the genuine creative capacity associated with high openness is becoming more valuable rather than less. The Pareto distribution of creative output means that identifying and retaining the small number of highly open, genuinely creative individuals in any organisation is one of the highest-return talent management investments available.

The practical challenge is threefold: identifying who the genuinely creative individuals are; creating the situational conditions that activate their openness; and pairing them with the conscientious implementers and agreeable collaborators who can convert their creative output into organisational outcomes. Neither exploration alone nor execution alone is sufficient. The organisations that get both right will disproportionately capture the value of creative talent in the decades ahead.

"Most people are not creative — despite what is propagated in Western media and culture. 86% of people score either 0 or 1 in any given artistic domain on the creative achievement questionnaire." — Jordan B. Peterson, Lecture 8 (2017)