Skip to main content

Most Employees Choose Remote Work Over Promotion

The employee priority revolution continues, with a whopping 71% of respondents saying they would prefer to work from anywhere than get a promotion, according to the Everywhere Workplace study from Ivanti.


Despite its popularity, remote work is a double-edged sword, with 10% of respondents reporting a negative effect on their mental health.

The toll the pandemic has taken on employees' mental health has been significant with 70% of IT women respondents reported experiencing negative effects from remote work, versus only 30% of male respondents in the same group reporting negative effects.

Additionally, many employees are feeling the effects of losing personal connection with coworkers (9%) and being expected to work longer hours than when in the office (6%).

The report also showed the further gender divide: 56% of female respondents said remote work has affected their mental health negatively, compared to 44% of men. While 52% of women reported having lost personal connection with coworkers, compared to 47% of men.

"Ivanti's research shows that the remote work experience for both office workers and IT professionals varies across gender lines. More men than women report being passed over for a promotion in this digital-first culture. Women, however, are expected to work longer hours, but have benefited the most overall from the flexibility that remote work brings. This shift in employee experience cannot be ignored. Employers must respond by adopting technology that facilitates collaboration and lessens the disparities in experience across gender lines, and that begins with prioritizing employee input in every tech implementation," said Meghan Biro founder and CEO of TalentCulture.

Looking at potential "future of work" models, the research found that 42% of employees prefer a hybrid model of work (a 5% increase since the last study).

30% of employees said they would prefer to work from home permanently (a 20% decrease since the last study) demonstrating that many are looking to interact with colleagues again. This decrease could also be attributed to the fact that while remote work has brought many positive changes — respondents indicated that the top three benefits they have realized since working remotely have been time savings due to less commuting (48%), better work/life balance (43%) and a more flexible work schedule (43%) — there have been some drawbacks.

In fact, 49% of respondents said they have been negatively affected in some way by remote work. Among the top concerns were lack of interaction with colleagues (51%), not being able to collaborate or communicate effectively (28%), and noise and distractions (27%).

"The pandemic has catalyzed a monumental shift in where and how people work," said Jeff Abbott, CEO of Ivanti. "The good news is that by increasing automation of common or mundane tasks, companies can improve work-life balance for IT and security teams, plus prevent data breaches and most importantly improve employee experiences. For example, Ivanti Neurons allows IT departments to reduce complexity, anticipate security threats, reduce unplanned outages, and resolve endpoint issues before employees report them."

Automation will become increasingly important as environments are expected to continue to get more complicated. In fact, 15% of respondents said they would prefer to work from anywhere (a 87% increase since the last study). Interestingly, 22% of respondents said they became digital nomads during the pandemic, and 18% said they are considering becoming a digital nomad. Only 13% of respondents said they would like to work permanently in the office (a 11% decrease since the last study).

The study also found just under a quarter (24%) of respondents have left their job in the past year during the ‘The Great Resignation,' and 28% are considering leaving in the next six months. When looking at respondents between the ages of 25 and 34, the percentage of individuals who plan to leave their job in the next six months jumps to 36%. Return to the office policies are a key factor in driving resignations. Nearly a quarter (24%) of respondents stated that they would quit their job if their employer enforced a full-time return to the office policy.

"Employees have more options than ever before — and they're good options, too," said Biro. "They can go anywhere and work for anyone, so that means that companies have to shift their retention tactics toward implementing the best technology that makes everyone's jobs easier, and more fun."

"Amid the fierce war on talent, it's more important than ever before to build a winning, diverse, and inclusive culture where every individual is highly respected, and a company's mission and core values are demonstrated at every level," added Abbott. "People want to work for companies that are making a difference, and employees are increasingly leaving their jobs if they don't believe in the vision and mission. Companies must show they are delivering global value and not just profits, while also prioritizing work/life balance."

Looking to the future, 26% of survey respondents said they hope IT will provide new hardware such as laptops, desktops and mobile devices in 2022, and 26% hope IT will modernize the service desk. Among IT professionals, the desire to modernize the service desk rises to 32%. This should come as no surprise, as call volumes to service desks have risen during the pandemic, resulting in high operating costs and reduced employee productivity and satisfaction.

Methodology: Ivanti canvassed the opinions of 4,510 office workers and 1,609 IT professionals in the US, UK, France, Germany, Netherlands, Brussels, Spain, Sweden and Australia to understand their attitudes to remote work, points of disagreements among different demographics, and the specific benefits and concerns they have taken from the remote working experience thus far.

Hot Topics

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Most Employees Choose Remote Work Over Promotion

The employee priority revolution continues, with a whopping 71% of respondents saying they would prefer to work from anywhere than get a promotion, according to the Everywhere Workplace study from Ivanti.


Despite its popularity, remote work is a double-edged sword, with 10% of respondents reporting a negative effect on their mental health.

The toll the pandemic has taken on employees' mental health has been significant with 70% of IT women respondents reported experiencing negative effects from remote work, versus only 30% of male respondents in the same group reporting negative effects.

Additionally, many employees are feeling the effects of losing personal connection with coworkers (9%) and being expected to work longer hours than when in the office (6%).

The report also showed the further gender divide: 56% of female respondents said remote work has affected their mental health negatively, compared to 44% of men. While 52% of women reported having lost personal connection with coworkers, compared to 47% of men.

"Ivanti's research shows that the remote work experience for both office workers and IT professionals varies across gender lines. More men than women report being passed over for a promotion in this digital-first culture. Women, however, are expected to work longer hours, but have benefited the most overall from the flexibility that remote work brings. This shift in employee experience cannot be ignored. Employers must respond by adopting technology that facilitates collaboration and lessens the disparities in experience across gender lines, and that begins with prioritizing employee input in every tech implementation," said Meghan Biro founder and CEO of TalentCulture.

Looking at potential "future of work" models, the research found that 42% of employees prefer a hybrid model of work (a 5% increase since the last study).

30% of employees said they would prefer to work from home permanently (a 20% decrease since the last study) demonstrating that many are looking to interact with colleagues again. This decrease could also be attributed to the fact that while remote work has brought many positive changes — respondents indicated that the top three benefits they have realized since working remotely have been time savings due to less commuting (48%), better work/life balance (43%) and a more flexible work schedule (43%) — there have been some drawbacks.

In fact, 49% of respondents said they have been negatively affected in some way by remote work. Among the top concerns were lack of interaction with colleagues (51%), not being able to collaborate or communicate effectively (28%), and noise and distractions (27%).

"The pandemic has catalyzed a monumental shift in where and how people work," said Jeff Abbott, CEO of Ivanti. "The good news is that by increasing automation of common or mundane tasks, companies can improve work-life balance for IT and security teams, plus prevent data breaches and most importantly improve employee experiences. For example, Ivanti Neurons allows IT departments to reduce complexity, anticipate security threats, reduce unplanned outages, and resolve endpoint issues before employees report them."

Automation will become increasingly important as environments are expected to continue to get more complicated. In fact, 15% of respondents said they would prefer to work from anywhere (a 87% increase since the last study). Interestingly, 22% of respondents said they became digital nomads during the pandemic, and 18% said they are considering becoming a digital nomad. Only 13% of respondents said they would like to work permanently in the office (a 11% decrease since the last study).

The study also found just under a quarter (24%) of respondents have left their job in the past year during the ‘The Great Resignation,' and 28% are considering leaving in the next six months. When looking at respondents between the ages of 25 and 34, the percentage of individuals who plan to leave their job in the next six months jumps to 36%. Return to the office policies are a key factor in driving resignations. Nearly a quarter (24%) of respondents stated that they would quit their job if their employer enforced a full-time return to the office policy.

"Employees have more options than ever before — and they're good options, too," said Biro. "They can go anywhere and work for anyone, so that means that companies have to shift their retention tactics toward implementing the best technology that makes everyone's jobs easier, and more fun."

"Amid the fierce war on talent, it's more important than ever before to build a winning, diverse, and inclusive culture where every individual is highly respected, and a company's mission and core values are demonstrated at every level," added Abbott. "People want to work for companies that are making a difference, and employees are increasingly leaving their jobs if they don't believe in the vision and mission. Companies must show they are delivering global value and not just profits, while also prioritizing work/life balance."

Looking to the future, 26% of survey respondents said they hope IT will provide new hardware such as laptops, desktops and mobile devices in 2022, and 26% hope IT will modernize the service desk. Among IT professionals, the desire to modernize the service desk rises to 32%. This should come as no surprise, as call volumes to service desks have risen during the pandemic, resulting in high operating costs and reduced employee productivity and satisfaction.

Methodology: Ivanti canvassed the opinions of 4,510 office workers and 1,609 IT professionals in the US, UK, France, Germany, Netherlands, Brussels, Spain, Sweden and Australia to understand their attitudes to remote work, points of disagreements among different demographics, and the specific benefits and concerns they have taken from the remote working experience thus far.

Hot Topics

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...