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The Path to Technojoy: How to Tackle the Silent Drivers of Technostress

Jon Mort
The Adaptavist Group

Technology's role in the workplace has expanded rapidly, framing how we work and communicate. Now, with the explosion of new and innovative AI-driven tools, people are struggling to navigate how to work in this new emergent era. And although the majority of these applications are designed to make our lives easier, for many knowledge workers, they've become a source of stress and anxiety. "Technostress," a term coined by psychoanalyst Craig Brod in 1984, describes the feelings of being overwhelmed by constant connectivity and cognitive overload from information and notifications, and it's on the rise.

Adaptavist's latest report The human cost of digital transformation, helps paint a more detailed picture. Over the last year, 64% of workers said technology had negatively impacted their lives at work, revealing how deeply embedded technostress has become in our professional lives. Nearly 1 in 3 people pointed to the volume of notifications or the burden of using multiple platforms as key stress drivers.

The sheer scale of this challenge means the consequences extend beyond individual well-being. Technostress is also having a measurable impact on global productivity; Gallup reports that declining employee engagement in 2024 may have cost the global economy as much as $438 billion in lost productivity.

The data suggest that the organizations suffering most are those with poor tool implementation, inadequate training, and weak workplace cultures. So, plotting the path to technojoy (the antidote to technostress) begins with understanding the real needs of your workforce, implementing proper tool training and creating a culture where feedback is not only encouraged but implemented. Organizations that prioritize these elements are seeing their employees embrace technology as an enabler of success, not a burden.

Meanwhile, failure to do so opens businesses up to a workforce increasingly plagued by sickness leave, absenteeism, and high turnover rates.

What's Causing Technostress?

Today's workplaces are defined by digital communication, constant connectivity, and the rise of AI tools. Face-to-face conversations have been replaced by online messages, where tone and intent is harder to read. Employees are juggling meetings and notifications across countless platforms, and are often feeling the pressure to stay connected outside of work hours. One in five workers said messages from colleagues make them feel excluded or incompetent, and a further 28% worried that their tone is easily misinterpreted in online interactions. Together, all these factors create the perfect breeding ground for technostress.

One major driver is insufficient training. With organizations finding their feet as early adopters of these new tools, a fifth of knowledge workers said a lack of guidance on new tools heightens their stress, forcing them to learn through trial and error.

Fueling anxiety and workplace pressure, these demands can be detrimental to employees' mental health and, therefore, workplace relationships and engagement. In fact, a recent study by AI note-taking tool Notta revealed that as many as 42% of workers felt that poor communication affected cross-functional collaboration, suggesting that when tools create friction, it can lead to confusion, anxiety, and a gradual breakdown of team cohesion.

The Symptoms of Technostress

As they play out at work, these shifts are leading to new challenges. Technostress doesn't just affect mental well-being; it can manifest physically, too, with research linking it to headaches, eye strain and a disrupted sleep pattern. Over time, these symptoms can transform into mental fatigue, frustration, and disengagement at work.

The business impact is equally significant. In fact, technostress has become a silent productivity killer, with studies showing employees lose the equivalent of a full working day every month due to dissatisfaction at work, leading to mental disengagement and disempowerment. A blind spot for many leaders is their underestimation of how technology affects employee experience and well-being. Workers feeling overwhelmed by technology are more likely to switch off, underperform, or quietly look for new roles.

These effects are already visible. Around 23% of knowledge workers looked for a new job in the last 12 months, while 12% have taken sick leave or time off work due to technology-related stress. 5% even quit their roles entirely. Given that there are over one billion knowledge workers globally (Gartner), this could translate to 50 million resignations and 120 million job searches each year, an alarming sign of how unchecked technostress could fuel a mass exodus of workers.

What Determines This Impact

The extent to which organizations are affected depends largely on factors like employee happiness, workplace culture, and access to proper training and support. When employees feel supported and energized by their work environment, they report an overwhelmingly positive experience with technology.

60% of workers who said they were supported by a positive workplace culture reported that technology had significantly supported their career advancement and, consequently, improved their satisfaction at work. More than 90% also said that their team integrated technology effectively into collaborative work..

Ultimately, technology alone doesn't solve problems; people do. Without the right structures, digital tools can overwhelm rather than empower. But with the right culture in place, technology becomes what it's meant to be: a catalyst for better work, not the cause of stress and burnout.

Practical Steps Towards Technojoy

If technostress thrives amid poor technology implementation, lack of training, and unsupportive cultures, then technojoy - a positive, empowering relationship with technology at work - comes from flipping that script.

1. Focus on change management, not just technology

Technology rollouts rarely fail because of the tools themselves; they fail because of poor understanding of the problems they are supposed to solve and of the needs of the people who are destined to use them. The organizations that avoid burnout and disengagement look beyond software selection to the people using it, diving deep into their needs and priorities.

Partnering with experts who understand the human side of digital transformation helps preserve employee autonomy and build supportive cultures where technology empowers rather than overwhelms.

2. Build a supportive, feedback-driven culture that involves employees in decisions

The report revealed that workers prioritize support and empowerment far more than a reduction in the number of tools. When asked what actions their organizations should take to ensure workplace technologies enable rather than frustrate, almost 50% listed ‘a culture where people are comfortable asking for help' as a top-three priority.

Creating that culture starts by involving employees in decision-making, whether selecting tools, designing workflows, or shaping training programs. Understanding their daily challenges before rolling out new solutions and trusting them to decide how best to use technology in their roles builds ownership, in turn, building confidence.

3. Invest in training, support, and resources

Confidence comes through capability. Yet the report reveals that 43% of employees say they need more training, technical support, and access to dedicated learning resources.

Comprehensive onboarding, refresher sessions, and accessible help channels ensure teams don't just use tools but can start to master them by understanding how to best use them in their own personal work context. The key is reinforcing that satisfaction with work isn't about the technology itself but how supported employees feel in using it.

4. Continuously evaluate tools and platforms

Technology and workplace needs evolve constantly and quickly, so should your approach. Regularly assess whether tools are genuinely improving productivity, connection, and well-being, and whether the cumulative effect of using multiple tools is helping or hindering. Ongoing evaluation ensures technology continues to serve its purpose: enabling people to use technology and tools to work smarter, not harder.

Technostress isn't an inevitable side effect of modern work; it's a sign that something in our approach needs to change. The data shows that when people feel supported, well-trained, and understood, technology becomes an enabler, not an obstacle. 

Jon Mort is CTO of The Adaptavist Group

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The Path to Technojoy: How to Tackle the Silent Drivers of Technostress

Jon Mort
The Adaptavist Group

Technology's role in the workplace has expanded rapidly, framing how we work and communicate. Now, with the explosion of new and innovative AI-driven tools, people are struggling to navigate how to work in this new emergent era. And although the majority of these applications are designed to make our lives easier, for many knowledge workers, they've become a source of stress and anxiety. "Technostress," a term coined by psychoanalyst Craig Brod in 1984, describes the feelings of being overwhelmed by constant connectivity and cognitive overload from information and notifications, and it's on the rise.

Adaptavist's latest report The human cost of digital transformation, helps paint a more detailed picture. Over the last year, 64% of workers said technology had negatively impacted their lives at work, revealing how deeply embedded technostress has become in our professional lives. Nearly 1 in 3 people pointed to the volume of notifications or the burden of using multiple platforms as key stress drivers.

The sheer scale of this challenge means the consequences extend beyond individual well-being. Technostress is also having a measurable impact on global productivity; Gallup reports that declining employee engagement in 2024 may have cost the global economy as much as $438 billion in lost productivity.

The data suggest that the organizations suffering most are those with poor tool implementation, inadequate training, and weak workplace cultures. So, plotting the path to technojoy (the antidote to technostress) begins with understanding the real needs of your workforce, implementing proper tool training and creating a culture where feedback is not only encouraged but implemented. Organizations that prioritize these elements are seeing their employees embrace technology as an enabler of success, not a burden.

Meanwhile, failure to do so opens businesses up to a workforce increasingly plagued by sickness leave, absenteeism, and high turnover rates.

What's Causing Technostress?

Today's workplaces are defined by digital communication, constant connectivity, and the rise of AI tools. Face-to-face conversations have been replaced by online messages, where tone and intent is harder to read. Employees are juggling meetings and notifications across countless platforms, and are often feeling the pressure to stay connected outside of work hours. One in five workers said messages from colleagues make them feel excluded or incompetent, and a further 28% worried that their tone is easily misinterpreted in online interactions. Together, all these factors create the perfect breeding ground for technostress.

One major driver is insufficient training. With organizations finding their feet as early adopters of these new tools, a fifth of knowledge workers said a lack of guidance on new tools heightens their stress, forcing them to learn through trial and error.

Fueling anxiety and workplace pressure, these demands can be detrimental to employees' mental health and, therefore, workplace relationships and engagement. In fact, a recent study by AI note-taking tool Notta revealed that as many as 42% of workers felt that poor communication affected cross-functional collaboration, suggesting that when tools create friction, it can lead to confusion, anxiety, and a gradual breakdown of team cohesion.

The Symptoms of Technostress

As they play out at work, these shifts are leading to new challenges. Technostress doesn't just affect mental well-being; it can manifest physically, too, with research linking it to headaches, eye strain and a disrupted sleep pattern. Over time, these symptoms can transform into mental fatigue, frustration, and disengagement at work.

The business impact is equally significant. In fact, technostress has become a silent productivity killer, with studies showing employees lose the equivalent of a full working day every month due to dissatisfaction at work, leading to mental disengagement and disempowerment. A blind spot for many leaders is their underestimation of how technology affects employee experience and well-being. Workers feeling overwhelmed by technology are more likely to switch off, underperform, or quietly look for new roles.

These effects are already visible. Around 23% of knowledge workers looked for a new job in the last 12 months, while 12% have taken sick leave or time off work due to technology-related stress. 5% even quit their roles entirely. Given that there are over one billion knowledge workers globally (Gartner), this could translate to 50 million resignations and 120 million job searches each year, an alarming sign of how unchecked technostress could fuel a mass exodus of workers.

What Determines This Impact

The extent to which organizations are affected depends largely on factors like employee happiness, workplace culture, and access to proper training and support. When employees feel supported and energized by their work environment, they report an overwhelmingly positive experience with technology.

60% of workers who said they were supported by a positive workplace culture reported that technology had significantly supported their career advancement and, consequently, improved their satisfaction at work. More than 90% also said that their team integrated technology effectively into collaborative work..

Ultimately, technology alone doesn't solve problems; people do. Without the right structures, digital tools can overwhelm rather than empower. But with the right culture in place, technology becomes what it's meant to be: a catalyst for better work, not the cause of stress and burnout.

Practical Steps Towards Technojoy

If technostress thrives amid poor technology implementation, lack of training, and unsupportive cultures, then technojoy - a positive, empowering relationship with technology at work - comes from flipping that script.

1. Focus on change management, not just technology

Technology rollouts rarely fail because of the tools themselves; they fail because of poor understanding of the problems they are supposed to solve and of the needs of the people who are destined to use them. The organizations that avoid burnout and disengagement look beyond software selection to the people using it, diving deep into their needs and priorities.

Partnering with experts who understand the human side of digital transformation helps preserve employee autonomy and build supportive cultures where technology empowers rather than overwhelms.

2. Build a supportive, feedback-driven culture that involves employees in decisions

The report revealed that workers prioritize support and empowerment far more than a reduction in the number of tools. When asked what actions their organizations should take to ensure workplace technologies enable rather than frustrate, almost 50% listed ‘a culture where people are comfortable asking for help' as a top-three priority.

Creating that culture starts by involving employees in decision-making, whether selecting tools, designing workflows, or shaping training programs. Understanding their daily challenges before rolling out new solutions and trusting them to decide how best to use technology in their roles builds ownership, in turn, building confidence.

3. Invest in training, support, and resources

Confidence comes through capability. Yet the report reveals that 43% of employees say they need more training, technical support, and access to dedicated learning resources.

Comprehensive onboarding, refresher sessions, and accessible help channels ensure teams don't just use tools but can start to master them by understanding how to best use them in their own personal work context. The key is reinforcing that satisfaction with work isn't about the technology itself but how supported employees feel in using it.

4. Continuously evaluate tools and platforms

Technology and workplace needs evolve constantly and quickly, so should your approach. Regularly assess whether tools are genuinely improving productivity, connection, and well-being, and whether the cumulative effect of using multiple tools is helping or hindering. Ongoing evaluation ensures technology continues to serve its purpose: enabling people to use technology and tools to work smarter, not harder.

Technostress isn't an inevitable side effect of modern work; it's a sign that something in our approach needs to change. The data shows that when people feel supported, well-trained, and understood, technology becomes an enabler, not an obstacle. 

Jon Mort is CTO of The Adaptavist Group

The Latest

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...