True workplace agility isn't a genetic gift or learning style; it’s a brain capability built through real experience.
Liz Pavese
Workplace Psychologist
Workday
Since the turn of the millennium, the word “agility” has been sprinkled over leadership competency frameworks like corporate fairy dust. It’s listed as a core value on lobby walls and touted in annual reports as the secret sauce for climbing the corporate ladder.
To be sure, agility is important in a world that demands near-constant change and new ways of working. But here’s the problem: there’s a massive—and really expensive—disconnect between how companies think people learn and how the adult brain actually works. Most training programs are still built on old school theories and myths that science disproved years ago. As organizations aggressively inject GenAI and agentic AI into workflows, this lack of cognitive science is paralyzing progress. If your strategy relies on boxing people into categories or catering to so-called “learning styles,” you aren’t building a team that can pivot. You’re building a rigid culture that’s going to get left behind.
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The primary myth here is the belief that agility is either a fixed personality trait (you either have it or you don’t) or a simple matter of content consumption (if they watch the video, they will be agile).
In reality, Learning Agility (LA), first coined in the 1980s via research from the Center for Creative Leadership, is defined as the capacity to learn rapidly from experience and apply that learning effectively in first-time, challenging, or fundamentally different situations. It is a multidimensional construct fueled by self-awareness and comprised of four key pillars:
1. Mental Agility: Comfort with complexity and ambiguity.
2. People Agility: Skilled communication and constructive conflict.
3. Change Agility: A passion for ideas and a willingness to lead change.
4. Results Agility: Delivering outcomes in tough conditions.
The stakes for getting this right are high. Research indicates that learning agility is a stronger predictor of long-term performance than standard cognitive ability. In their book, Learning Agility: The Key to Leader Potential, David F. Hoff and W. Warner Burke found that organizations with high learning agility see a 25% higher innovation output and 18% better financial performance during market downturns.
Research from famed cognitive neuroscientist Lucina Uddin found that agility is rooted in neuroplasticity and cognitive flexibility—our brain's literal capacity to adapt its thinking and behavior in response to a changing environment. This process commands the prefrontal cortex (PFC), the seat of executive function. While static IQ remains relatively stable after early adulthood, the PFC remains highly malleable. Leaders can intentionally develop and strengthen their brains and, therefore, ability to adapt, through deliberate, effortful practice.
Agility isn't a gift; it's a physiological restructuring of neural pathways.
Agility isn't a gift; it's a physiological restructuring of neural pathways.
To build an agile workforce, we must first clarify two major misconceptions:
Perhaps the most persistent myth in talent development is the idea of VAK (Visual, Auditory, Kinesthetic) learning styles. Organizations waste millions of dollars tailoring content to "auditory learners" or "visual learners." However, comprehensive reviews confirm there is zero evidence that matching instruction to a preferred style improves learning outcomes.
These are preferences, not proficiencies. Treating them as hard-wired requirements actually limits an employee's ability to process information in diverse formats—the very definition of rigidity.
Agility isn't something we are born with. While certain personality traits (like openness to experience) can make it easier to activate, agility is a collection of practices. When leadership views agility as fixed DNA, they stop developing their middle management and start looking for unicorns to hire from the outside—an expensive and often failing strategy.
For the C-suite, the agility myth isn't just a theoretical problem; it’s a strategic liability that manifests in three specific ways:
When we label employees—putting them into rigid boxes based on outdated assessments—we ignore their actual talents and interests.
If you want a workforce that can pivot without panicking, you need to shift from distributing content to building capability.
Stop classifying people by "style." Instead, focus on the enabling factors of agility. Use assessments that measure behaviors (like seeking feedback or taking calculated risks) rather than personality types.
Content consumption is not learning. The brain requires social interaction and "stretch" to forge new neural pathways.
AI’s greatest value in L&D isn't generating more content for visual learners. It’s in contextual alignment. By deploying dynamic frameworks like Workday Skills Cloud you can automatically align learning opportunities with an employee’s specific career goals, real-time performance gaps, and project interests. Personalization should be about relevance, not format.
Stop measuring training hours completed. It’s a vanity metric. Instead, track real-time sentiment shifts in Growth, Accomplishment and Meaningful Work. Our Workday Peakon data shows that growth is universally important—it is a top driver of employee engagement and a critical retention mechanism.
But we need to look past traditional upskilling and talk about holistic growth. It acts as an emotional anchor, directly fueling an employee’s sense of accomplishment and making their work feel deeply relevant.
When employees feel their work has meaning and they are hitting new milestones, their adaptive capacity skyrockets. They don’t just survive heavy workloads or massive shifts like AI integration, they navigate them with resilience. At the end of the day, you can't recruit your way out of a talent drain, but you can build an flexible workforce by changing how you develop your people.
It’s not possible to program agility into an organization like a software update. The right biological and cultural conditions must be present for it to grow.
It’s time to stop chasing the buzzword and start respecting neuroscience—the future workforce depends on it.
Referenced Works
Burke, W. W, & Hoff, D.F. (2017). Learning Agility: The Key to Leader Potential. Tulsa, OK: Hogan Press.
Heslin, P. A., and Mellish, L. B. (2021). Being in Learning Mode: A Core Developmental Process for Learning Agility. In The Age of Agility, edited by Veronica Schmidt Harvey and Kenneth P. De Meuse, 282–301. Oxford University Press. https://doi.org/10.1093/med/9780190085353.003.0011.
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning Styles: Concepts and Evidence. Psychological Science in the Public Interest 9 (3): 105–119. https://doi.org/10.1111/j.1539-6053.2009.01038.x.
Papadatou-Pastou, M., Touloumakos, A.K., Koutouveli, C., & Barrable, A. (2021). The Learning Styles Neuromyth: When the Same Term Means Different Things to Different Teachers. European Journal of Psychology of Education 36: 511–531. https://doi.org/10.1007/s10212-020-00485-2.
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