Since 2023, the pace of transformation across industries has compressed the shelf life of specific technical experience faster than most businesses anticipated. AI, cost pressure and rapid operational change have created a workforce challenge that isn't really about skills. It's about the capacity to keep acquiring them. The question has shifted from who has the skill to who has the ability to learn the next one, and in most organisations, there's no reliable way to answer it. That's what Karina Olivier, registered psychologist and psychometrist, and I have spent the last six months trying to solve. The result is the Agility Quotient, or AQ.

Why learning agility is the new G factor

The science here is older than most people expect. Charles Spearman's work in the early 1900s established the concept of general mental ability, a foundational cognitive capacity that predicts performance across domains, and for a century it was the primary lens through which leadership potential was assessed. Then research at the Centre for Creative Leadership complicated the picture. Tracking high-potential executives over time, they found that cognitive capability alone didn't explain who thrived when promoted and who derailed. The differentiating factor was something else: the ability to let go of what worked before and learn what the new role demands.

In 2022, Kenneth De Meuse formalised this in a paper in the Consulting Psychology Journal, proposing that learning agility may function as the G factor for leadership, the underlying predictor of leadership performance in the same way general intelligence predicts cognitive performance. The World Economic Forum's 2025 Future of Jobs data points in the same direction. Strip out the technology skills from their list of rising capabilities and what remains is resilience, agility, curiosity and lifelong learning. The research has been building for years. We've built the tool to act on it.

What AQ actually measures

Leadership potential isn't additive, it's multiplicative, which means all three of its core components need to be present. Cognitive capacity alone won't carry a leader through a restructure. Learning willingness without the horsepower to process complexity becomes performative. And both can be undone by a single unchecked derailer under pressure. Hired for intelligence. Promoted for performance. Derailed by what nobody saw coming.

AQ looks at three things: cognitive capacity (fluid reasoning and the ability to manage complexity), learning agility (a personality-driven openness to new experience, not just the desire to learn but the willingness to act on it), and dark-side traits (the counterproductive patterns that surface when conditions get difficult). What makes it diagnostic rather than descriptive is that it reads across from capacity to motivation to application. A high score on intellectual curiosity means little if it never translates into changed behaviour.

One finding that consistently lands with senior HR leaders: research suggests that while 95% of professionals believe they are self-aware, fewer than 15% demonstrate it under structured assessment. Most leaders are operating with a distorted picture of how they're perceived and where they get in their own way. AQ makes that visible, which is precisely why the candidate report is designed to be something people can actually use, not a document that goes in a drawer.

Two lenses, one framework

We designed AQ to close the loop across the full talent ecosystem, which meant building separate reports for selection and development rather than retrofitting a single output for both purposes. The selection report gives hiring managers and HR a readiness score, a traffic-light view of flags and a structured interview guide built around the specific risks and strengths relevant to the role. It's designed to support a decision, not replace one. Culture fit, team dynamics, technical depth, those remain your judgement calls. What AQ tells you is whether this person has the adaptive capacity to grow into uncertainty.

The development report goes deeper, covering coaching edges, personality styles, values, work culture preferences and derailers in more detail, designed for the ongoing conversation between HR and the individual and as a foundation for team interventions. There's also a candidate report: the individual's own version, framed as a coaching document rather than an assessment outcome.

The dashboard view, for organisations assessing at scale, tells a different story. A company where results agility sits low and the workforce is heavily weighted toward strategists and analysts isn't necessarily struggling with capability, it may be struggling with execution. Too many strategy sessions, not enough people taking accountability and running with it. The data doesn't just describe the workforce, it predicts the failure mode.

The culture caveat

One thing the data can't solve is culture. You can hire learning-agile people and identify your change agents, the individuals with the cognitive horsepower, the curiosity and the social intelligence to bring others along. But if the environment doesn't allow for experimentation or genuine development, those people will either manage themselves out or find their derailers rising. AQ gives you the lens. What you do with it depends on the soil you're planting in.

What this means in practice

The organisations moving fastest on this aren't treating AQ as a standalone assessment. They're using it to reframe existing conversations around succession planning, high-potential identification and team development with data that's actually diagnostic. Senior HR leaders who can sit with a hiring manager and say here's what the profile tells us about how this person will perform in ambiguity are adding a different kind of value to the room. The question of who's next isn't new. For the first time, there's a framework to answer it with rigour, one built on a century of psychology, calibrated to the demands of the current workforce, and designed to be used by the people who most need it.