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Artificial Intelligence
AI and Data & Analytics: Powering Tomorrow’s Intelligent Enterprise
Highlights
- Artificial intelligence (AI) is disrupting knowledge work, creating new cognitive learning demands while also increasing technostress among knowledge workers.
- Mindfulness practices, supported by insights from recent literature, can help knowledge workers adapt to AI by improving learning capacity and reducing AI-induced stress.
- AI itself is emerging as an enabler of mindfulness, with AI-powered mindfulness applications paradoxically helping workers manage the stress created by AI adoption.
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Introduction
Knowledge workers are highly educated individuals who apply theoretical and analytical knowledge to create products, services and information that support organisational decision-making. Unlike manual or routine workers, they primarily create, interpret and apply knowledge. Artificial Intelligence (AI) is increasingly reshaping knowledge worker roles by augmenting or replacing knowledge-based tasks. AI refers to the capacity of machines to solve problems and achieve goals in real-world contexts, including learning from available data and adapting to new situations.
Traditionally, knowledge workers have produced information artefacts to guide decision-making and support innovation. These artefacts can now be generated or enhanced by AI, changing the nature of their work. As a result, knowledge workers need to develop new AI capabilities to complement their existing skills or risk redundancy. This rapid change can create stress and uncertainty in the workplace.
Because knowledge work depends heavily on cognitive effort, workers rely on attention, adaptability and mental resilience. Mindfulness, an ancient Buddhist practice, may assist by cultivating present-moment awareness through a non-judgmental perspective and reducing stress associated with life and work pressures.
Mindfulness
Mindfulness is defined as the willingness and capacity to be equally present with all events and experiences, with discernment, curiosity, and kindness, and refers to an individual’s capacity to be aware of present experience with openness and reduced reliance on habitual, goal-oriented cognitive routines. Core components include present-moment awareness, non-judgmental acceptance and open attention. It can be practised through meditation, everyday activities such as mindful eating or walking, and therapeutic approaches including Cognitive Behavioural Therapy (CBT) and Mindfulness-Based Stress Reduction (MBSR) to help manage stress, anxiety and depression.
To examine the relationship among knowledge workers, artificial intelligence, and mindfulness, an automated literature review was conducted in 2025 using the SciSpace research platform. Three key themes emerged that suggest that mindfulness can help knowledge workers learn new AI skills, cope with work stresses caused by AI, and, paradoxically, the use of AI to facilitate mindful practices.
Use of mindfulness to help learn new AI skills
As AI becomes more common in the workplace, knowledge workers need to build on existing capabilities and reskill to remain relevant. Skills such as self-efficacy, job crafting and proactivity are important for success in AI-enabled environments. However, the pace of AI change can be overwhelming, as workers must maintain current performance while developing new capabilities. Mindfulness can support AI adoption by improving how individuals perceive and engage with new technology. Evidence also suggests that mindfulness can strengthen AI literacy through cognitive flexibility and self-regulation, including understanding, critical use, collaboration, application and ethical engagement with AI.
IT mindfulness, which refers to mindful technology-related cognition, attitudes and behaviour, has also been linked to better responses to the negative effects of AI. It may improve learning in AI-aware environments by increasing sensitivity to learning opportunities, reducing job insecurity and supporting performance under pressure. This research didn’t account for factors such as organisational culture or different forms of job insecurity; however, overall mindfulness does support the cognitive capacities needed for AI-related knowledge work, particularly focus, adaptability, concentration, and attention.
Mindfulness to cope with work stresses invoked by AI
Mindfulness may support knowledge workers in digitally disruptive environments by improving well-being, work engagement, team collaboration, and coping with stress. By strengthening concentration, task absorption and tolerance of emotional strain, it may also improve engagement and interpersonal communication in digital workplaces. Mindfulness may also reduce technostress, defined as the inability to cope effectively with new technology, and anxiety associated with digital and AI-enabled work environments. Technostress can include techno overload, complexity, invasion, uncertainty, insecurity and unreliability. Suggested responses include limiting notifications, approaching digital content with greater awareness, adopting mindful email practices, discussing uncertainty openly, and using Mindfulness-Based Stress Reduction (MBSR) interventions.
In digital work environments, mindfulness may improve stress processing through active coping, acceptance, present-moment awareness and sustained attention. It may also help regulate emotional responses and reduce burnout, absenteeism and cognitive overload. Overall, mindfulness may serve as a personal resource that reduces the negative effects of digital work. More mindful employees may experience lower stress and better well-being through greater awareness, acceptance and focused attention on the present moment.
AI facilitated mindfulness practices
AI is also being used to support mindfulness practices for employees working in stressful environments. Although this research is still emerging, digital mind-body applications and AI-based interventions have been used to reduce symptoms of stress, anxiety and depression. AI technologies can also provide personalised health support through wearable devices, educational resources, AI health assistants and diagnostic tools for medical professionals. Examples of mindfulness and meditation applications include Headspace, Calm, Aura, Insight Timer and Bliss Brain. These applications offer accessible free and subscription-based resources for mental health education and guided meditation programs. These applications may support knowledge workers through accessibility, customised programs and real-time feedback. However, they may also increase reliance on technology, raise privacy concerns, offer limited evidence of effectiveness because the field is still new, and cannot replace professional support for serious health conditions. Some research also suggests that AI-based mindfulness applications may introduce biopolitical risks related to self-surveillance and social control, shifting practice from traditional psychophysical development towards more ego- and performance-oriented workplace behaviours.
Conclusion
Mindfulness has been shown to assist knowledge workers in learning new AI skills and in coping with technostress induced by AI. Paradoxically, new AI Mindfulness apps have been shown to facilitate mindfulness and meditation practices and well-being in the AI workplace, helping to balance the negative impacts of AI on knowledge workers.