How investing into healthy digital culture helps successful AI adoption – new research

A few years ago, health and wellbeing were on the topic topics for company trainings. Today, the focus has abruptly shifted to AI skills. However, seeing them as two separate skillsets might severely undermine AI adoption. Evidence increasingly  suggests that a healthy digital culture is a pre-requisite for successful AI integration.

Employees around the world are already digitally overwhelmed. Ever since the pandemic, workers in digital-first environment experience more digital communication, more Zoom/Team meetings, and more digital interruptions (Microsoft). This fragments our attention.

Workers in hybrid environments are already 2.54 times more likely to experience digital distractions (Gartner). We already switch digital tasks on average every 46 seconds (Mark). Task switching has been linked to increased cortisol levels, pushing the body into stress mode,  affecting performance, and long-term motivation. Employees who do not take breaks between meetings show reduced engagement in subsequent meetings and higher physiological stress markers (Microsoft). A lack of clear organizational digital boundaries after working hours creates emotional exhaustion, leading to greater employee turnover.

AI’s dual impact

With AI, none of these digital side effects disappeared - in fact, all of them keep happening at much faster speed. Organisations are under immense pressure to adopt AI fast and manage governance/risk simultaneously, leaving them little space to consider other implications. AI indeed significantly improves productivity – but also raises expectations of tasks to be completed faster, and more tasks to be accomplished within the same time frame. It also increases surveillance perception as well as continuous responsiveness expectations. In other words, AI introduces structural pressure, not just tool adoption.

The relationship between AI and employee wellbeing is complex. Emerging body of research shows that while AI can initially reduce “cognitive overload”, at later stages, if no clear digital boundaries are set, it can add up to the overload problem.

One recent peer-reviewed publication shows that AI use is significantly related to employee wellbeing (both positively and negatively) and that this relationship is mediated (explained) by technology overload. On one hand, AI adoption was shown to have a direct and positive effect on employee wellbeing. When AI simplifies workers’ routine tasks and supports their performance, it could genuinely improve how they feel at work. On the other hand, AI adoption also significantly increased tech overload, which has been shown to have a strongly negative effect on wellbeing.

Notably, this negative effect was larger in magnitude than the direct positive effect of AI use. For many employees, the burdens introduced by AI (e.g., cognitive overload, performance pressure, constant connectivity, and the need to continuously learn), outweighed its immediate benefits.

These conclusions are supported by a few other studies. One states that while AI efficacy enhances engagement and job satisfaction, but AI-generated technostress increases exhaustion, exacerbates work–family conflict, and lowers job satisfaction, even though it may still contribute to productivity.

Yet another study shows that generative AI (for example, ChatGPT) might lead to tech overload if it accelerates work processes, causing users to work faster or handle more work than they can manage (Sayed et al., 2022). 

Similar conclusions were made in a recent study published in HBR. It showed that while automating routine tasks actually led to better wellbeing outcomes, throwing  “too much” AI at workers was creating negative effects. Specifically, overusing AI agents was shown to lead to “brain fry” phenomenon in 14% of employees (in some categories like marketing the number was as high as 26%). Study showed that trying to manage more than 3 AI agents at a time creates massive cognitive load as employees need to check the quality of the output and causes brain fog and worse decision making.

This comes with a huge cost. Employees experiencing AI-driven cognitive fatigue report significantly higher error rates (+39%), increased decision fatigue (+33%), and much higher intention to leave the organization (+34%) (HBR).

What organizations must do to enable successful AI adoption

Does this mean that companies should not implement AI, if they want to keep employees healthy? Not at all – but having a healthy digital culture is a must.

AI can support workers, but it can also overwhelm them, and the balance between these effects depends heavily on how it is managed. Employees in companies that protect work-life balance 28% less reported lower fatigue score related to AI overload. Teams with explicit communication norms (response times, meeting rules) consistently show lower burnout, higher productivity and reduced after-hours work. Managing expectations, adequate training and a supportive organizational culture all contribute to reducing technostress and better AI adoption.

In summary, simply introducing AI into the workplace is not enough (and may in fact be counterproductive). Research shows that investing into a healthy digital culture is not just an option anymore, nor should it be considered simply a wellbeing intervention, but rather a pre-requisite that enables sustainable AI adoption. Without structured investment in digital behaviour change in the first place, organisations risk failing to realise the productivity benefits of their AI investment.

Consciously Digital Institute (CDI) is an international certification body that prepares internal digital wellbeing leaders within organizations, helping them create a healthy digital culture from within. Our “train the trainers” program is accredited by two major coaching associations, ICF and NBHWC. It is based on the pee

r-reviewed research and behavioural change techniques using positive psychology and coaching approaches and based on delivery experience across multiple international organisations. CDI certification is offered in two tracks – individual (annual) and corporate (on demand, 6 weeks training). If you would like to know more about the programs, please say hi.