The landscape of work is undergoing a seismic shift, driven by rapid technological advancements and compounded by a range of global, economic, and demographic changes. This upheaval has created unprecedented uncertainty about the future of work, raising concerns about job security, skill obsolescence, and career progression. In this context, workplace learning is increasingly seen as a solution to help workers adapt and build resilience (Beier et al., Reference Beier, Saxena, Kraiger, Constanza, Rudolph, Cadiz, Petery and Fisher2025). However, significant challenges remain in ensuring the effectiveness of workplace learning initiatives, particularly in the face of pervasive uncertainty and the anxiety it engenders.
The profound impact of uncertainty on human cognition and behavior cannot be overstated, especially in the context of workplace learning. Grupe and Nitschke’s (Reference Grupe and Nitschke2013) uncertainty and anticipation model of anxiety (UAMA) provides valuable insights into why uncertainty about future threats, such as job loss or skill obsolescence, can be so disruptive to learning initiatives. Particularly relevant to our discussion are three key processes identified in the model: inflated estimates of threat cost and probability, deficient learning, and behavioral and cognitive avoidance.
In the context of workplace learning, these processes can manifest as workers overestimating the difficulty or futility of learning new skills, struggling to internalize positive learning experiences, and disengaging from learning opportunities altogether. These reactions can severely undermine the effectiveness of even the most well-designed learning initiatives, including the proactive, person-centered approaches proposed by Beier et al.
The urgency of addressing these challenges is underscored by alarming projections about the future of work. For example, Beier et al., cite a study estimating that over 85% of the workforce will need to change jobs between 2021 and 2030. Although these figures highlight the need for adaptability, they also fuel anxiety, potentially undermining the very learning initiatives intended to help workers cope with these changes.
Although Beier et al., advocate for individualized, self-directed learning approaches as a means of adapting to an uncertain future, our analysis suggests that this approach, although valuable, may not fully address the profound impact of uncertainty-induced anxiety on learning engagement and effectiveness. The personalization of learning content and pathways, though important, does not inherently address the psychological barriers created by pervasive uncertainty.
Our paper examines how the negative perception of the future of work, combined with general uncertainty, creates barriers to effective workplace learning. We argue that addressing these psychological barriers is crucial for the success of any workplace learning initiative, particularly those aimed at preparing workers for an uncertain future. Furthermore, we offer strategies to address these barriers and strengthen learning during times of change, taking into account the cognitive and emotional challenges posed by uncertainty.
The pervasive impact of uncertainty on workplace learning
Uncertainty about the future of work affects workplace learning at both individual and organizational levels, often in ways that compound the challenges. Much research has been published in recent years demonstrating the psychological effects of anxiety, threat, and uncertainty, resulting in tighter, less open, and more conservative behavior at both the individual and group levels of analysis.
Individual-level impacts
At the individual level, uncertainty can significantly lower intrinsic motivation (Montani et al., Reference Montani, Courcy, Battistelli and Witte2021). When workers are uncertain about the relevance of their skills or job stability, they tend to prioritize immediate tasks over long-term skill development. This shift aligns with the UAMA’s concept of inflated threat estimates, as workers may overestimate the risk of investing time in learning that may not yield immediate benefits. Consequently, this reduces engagement with self-directed learning initiatives, which rely on personal drive and motivation.
Moreover, the anxiety and stress caused by an uncertain work environment impair cognitive functions, including working memory and attentional control (Moran, Reference Moran2016). These mental strains make it difficult for workers to focus on learning activities, retain new information, or stay engaged in long-term, skill-building efforts. This aligns with the UAMA’s challenge of deficient learning, as anxiety interferes with the cognitive processes necessary for effective learning.
The impact of uncertainty is further compounded by what Wu and Dunning (Reference Wu and Dunning2017) describe as “hypocognition”—a lack of conceptual understanding about the factors contributing to uncertainty. Workers may struggle to identify the skills they need to develop or the learning pathways to pursue, leading to paralysis and disengagement from learning initiatives. This relates to the UAMA’s concept of behavioral and cognitive avoidance, as workers may avoid engaging in learning due to the overwhelming nature of uncertainty.
As uncertainty persists, its effects can even culminate in learned helplessness (Seligman, Reference Seligman1972). Prolonged exposure to unstable work conditions may cause individuals to feel powerless, believing that no amount of personal development will secure their future. This mindset can severely undermine engagement in learning programs, as workers may disengage entirely, believing their efforts to be futile.
Organizational-level impacts
At the organizational level, uncertainty affects decisions about resource allocation, often leading to cuts in training and development programs. In uncertain times, organizations may view learning initiatives as nonessential expenses, which hinders the implementation of personalized learning programs that require significant resources. This organizational behavior can exacerbate individual anxieties about skill development and job security.
Organizations may also prioritize short-term performance over long-term capability building (Laverty, Reference Laverty1996), favoring quick-fix training solutions over comprehensive, personalized learning initiatives that focus on adaptability. This short-term focus can limit investment in the kind of learning that is most effective in preparing workers for an uncertain future.
In times of uncertainty, organizations may adopt a “wait and see” approach, hesitating to implement new learning strategies. Person-centered learning often requires cultural shifts and new infrastructure, which risk-averse organizations may be reluctant to adopt. High employee turnover during uncertain periods also disrupts learning initiatives and leads to a loss of institutional knowledge (Hancock et al., Reference Hancock, Allen, Bosco, McDaniel and Pierce2013), further discouraging investment in long-term learning solutions.
Whereas Beier et al., advocate for self-directed, personalized learning as a way to adapt to uncertainty, our analysis suggests that uncertainty itself is a significant barrier to the success of these initiatives. Anxiety, learned helplessness, and organizational conservatism create a challenging environment for workplace learning, potentially undermining its effectiveness. To address these issues, organizations and individuals must recognize and mitigate the impact of uncertainty on learning engagement and develop strategies that foster both resilience and adaptability in the face of change.
Possible effective solutions
Given the multifaceted challenges posed by uncertainty, we propose three broad strategies to strengthen workplace learning in uncertain times. These strategies address the individual and organizational barriers identified in our analysis and can be tailored to various organizational contexts.
Creating a supportive learning ecosystem
The most well-designed learning programs will fail if employees do not feel comfortable engaging with them or do not trust their organizations’ intentions. In times of uncertainty, trust and comfort become even more crucial. Creating a supportive learning ecosystem is therefore fundamental to the success of any workplace learning initiative. We propose a two-pronged approach to achieve this: cultivating psychological safety and fostering social learning networks to create an environment where learning can thrive despite uncertainty.
Cultivating psychological safety, based on Edmondson’s (Reference Edmondson1999) theory, involves creating an environment where employees feel safe to take risks, ask questions, and make mistakes. By promoting a growth mindset culture (Dweck, Reference Dweck2006) and implementing leadership training that emphasizes supportive behaviors, organizations can counteract the paralyzing effects of uncertainty on individual learning engagement. This directly addresses the UAMA challenge of behavioral and cognitive avoidance by creating an environment where employees feel safe to engage with learning despite their anxieties.
Creating social learning networks fosters a sense of belonging and security during uncertain times. Remote work continues to limit opportunities for people to meet in person and develop a bond with each other. However, even when learning networks exist online, they are crucial for sensemaking (Weick, Reference Weick1995), as they help individuals interpret and navigate ambiguous situations. This approach, based on social learning theory (Bandura, Reference Bandura1977), leverages collective knowledge and provides cost-effective learning opportunities that are resilient to uncertainty. By facilitating knowledge sharing and collaborative learning, social learning networks can help mitigate the effects of inflated threat estimates and deficient learning identified in the UAMA.
Adaptive learning strategies
To address the cognitive challenges posed by uncertainty and the need for flexible, relevant learning experiences, we propose combining microlearning strategies with scenario-based learning approaches. This adaptive approach recognizes that traditional, long-form learning methods may be less effective in uncertain environments where cognitive resources are strained and the relevance of skills may shift rapidly.
Microlearning strategies, grounded in cognitive load theory (Sweller, Reference Sweller1988), involve breaking down content into small, manageable units. This approach addresses both cognitive challenges posed by anxiety and organizational tendencies toward short-term thinking. By providing bite-sized, immediately applicable learning opportunities, microlearning can help overcome the avoidance behaviors identified in the UAMA.
Scenario-based learning, rooted in situated learning theory (Lave & Wenger, Reference Lave and Wenger1991), involves developing content around possible future scenarios. This approach addresses hypocognition regarding future skill requirements, promotes sensemaking, and allows individuals to practice adaptability. By simulating potential future work environments, scenario-based learning can help reduce inflated threat estimates and improve learning efficacy in the face of uncertainty.
Financial incentives for continuous learning
One of the most significant obstacles to learning, especially in times of uncertainty, is financial constraint. When facing an uncertain future, individuals and organizations often hesitate to invest in learning activities that promise long-term benefits but require immediate financial outlays. This short-term thinking, which arises from the inflated threat cost estimates described in UAMA, can severely hamper the development of crucial skills needed for future adaptability.
Implementing professional development funds at the organizational level allows individuals to pursue learning opportunities they deem valuable, even if not immediately relevant to their current role. This approach can help counteract the tendency to avoid learning due to financial concerns, addressing the behavioral avoidance identified in the UAMA.
On a broader scale, government tax incentives for both individuals and organizations can encourage investment in learning and development. These incentives could offset the costs of learning initiatives, making it more financially viable for organizations to invest in long-term, person-centered learning approaches. By providing financial motivation for long-term investment in learning and development, this approach addresses the challenge of short-term thinking in uncertain times.
Conclusion and call for critical research
Although Beier et al., advocate for individualized, self-directed learning approaches as a means of adapting to an uncertain future, our analysis suggests that this very uncertainty may be their greatest obstacle. The psychological impacts on individuals and the conservative tendencies of organizations in uncertain times create a challenging environment for implementing person-centered workplace learning.
Our proposed solutions—creating a supportive learning ecosystem, implementing adaptive learning strategies, and providing financial incentives for continuous learning—are designed to work in tandem with the individualized approach suggested by Beier et al., By addressing the emotional, cognitive, and financial barriers posed by uncertainty, these solutions can create an environment where personalized learning initiatives are more likely to succeed.
To address these challenges effectively, we call upon industrial and organizational psychologists to engage in critical research that goes beyond the organizational perspective on the future of work. This research should focus on helping workers make sense of the changes before them and facilitating effective workplace learning in uncertain environments. By taking a more worker-centric approach, researchers can provide valuable insights into how individuals navigate uncertainty and engage with learning opportunities. They can play a crucial role in shaping workplace learning strategies that are truly responsive to the needs of both workers and organizations in an uncertain future.
