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Think You've Heard Everything About the Debate over RTO? Here's the Big Thing Leaders Are Missing

Daren Goeson
Ivanti

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti. That's the kind of statistic that stops me cold. It doesn't take a top-notch workplace behavior analyst to guess that resentful employees are unlikely to bring their A-game (or B-game, or C-game) to work.

We've all heard the term "quiet quitting," but this goes deeper. Resenteeism describes workers who actively dislike their roles yet remain trapped by economic uncertainty, benefits or limited options. Nearly four out of 10 employees also engage in presenteeism — showing up physically or virtually without truly working.

This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble.

When IT Workers Check Out, Everyone Feels It

The IT problem is two-pronged: On one side, unfocused employees create significant risks and gaps that IT has to manage.

On the other side, IT workers themselves are susceptible to the same resenteeism and presenteeism as everyone else. In some cases, likely more so because of the added pressures in prong one.

64% of IT workers say they're feeling pressure from employers to return to the office, despite 83% considering flexible work to be of high value or essential to their roles.

This creates a dangerous disconnect. When the people responsible for keeping systems running, securing networks and solving technical problems become disengaged, the ripple effects touch every corner of the organization.

IT professionals report a 58-point gap between their desired flexibility and what their employers actually provide. Compare that to the 50-point gap in the experience of non-IT office workers, and you will see why technical talent feels particularly squeezed.

Only 25% of IT professionals describe their workplace as highly flexible. Yet these same people manage the technology that makes remote work possible for everyone else.

Here's where it gets complicated. Nearly half of IT workers say collaborating with colleagues and getting their manager's attention is easier inside the office. This creates a genuine tension between personal preferences and professional effectiveness.

But rather than solving the underlying problem, many organizations default to mandating office presence. This is treating a symptom while ignoring the disease.

The real issue? Many companies still struggle to provide effective out-of-office work experiences. When collaboration tools feel clunky, when getting help takes too long or when technical problems slow everyone down, of course being in the office seems more efficient.

The Automation Opportunity We're Missing

Companies are taking steps to improve remote work effectiveness, but they're not going far enough. 48% provide self-service resources for IT requests. 43%,  monitor device and application performance. Another 43% use automation for ticket resolution.

These efforts help, but they barely scratch the surface of what's possible with modern technology.

Despite 86% of IT professionals agreeing that AI-powered technology is important for making IT operations more efficient, actual deployment lags badly. Fewer than half use AI and automation for predictive IT maintenance or detecting usage anomalies — scenarios where these tools are highly effective.

Root-cause analysis and intelligent ticket escalation indicates that fewer than one in three organizations deploy AI for these critical functions. Not great.

Meanwhile, 38% of workers use unauthorized AI tools, suggesting they're finding ways to be more productive despite organizational inertia.

Things Are Getting … Shadowy

The disconnect between what IT professionals need and what they're getting creates more than workplace dissatisfaction. Resentful, disengaged IT workers make poor security decisions. They take shortcuts. They stop proactively monitoring systems or suggesting improvements.

When technical problems pile up and response times slow down, everyone suffers. Sales teams can't access CRM systems. Customer service representatives struggle with system outages. Remote employees lose productivity to technical glitches. Employees start being able to get away with rampant "shadow IT," where they rely on their preferred tools and applications even though those tools and applications aren't sanctioned, aren't disclosed to IT and therefore IT can't manage them. Shadow IT is always a problem, but resenteeism and presenteeism make it worse.

The human cost compounds the business impact. Talented IT professionals start looking elsewhere for roles that offer better work-life balance. Organizations lose institutional knowledge and face expensive recruitment cycles. Poor retention of top professionals adds to a truly unpleasant downward spiral.

Promoting Flexibility and Engagement

The problem is on multiple fronts, so the solution needs to be, too. Better digital employee experience (DEX) tools, which is how employees interact with their organization's digital environment, make remote work smoother and more productive. This encompasses the hardware and software employees use to perform their daily tasks, as well as the level of access and support they receive. By continuously measuring employee satisfaction and productivity within digital work environments, DEX has become a critical driver of success and growth in the era of hybrid, remote or in-office work. Additionally, for IT teams it helps reduce ticket volumes and frees up time to work on more impactful projects that nurture their professional development.

Automation handles routine tasks, freeing IT professionals to focus on strategic work that requires human judgment and creativity. Engagement improves when people feel their skills are valued rather than wasted on repetitive problems.

The flexibility gap won't close overnight, but organizations can start by measuring what matters to their IT teams and systematically addressing the biggest pain points.

This means investing in tools that make distributed work genuinely effective, not just possible. It means automating processes that currently require manual intervention. It means trusting technical professionals to manage their own productivity rather than monitoring their every move.

Daren Goeson is SVP Product Management at Ivanti

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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 ...

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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 ...

Think You've Heard Everything About the Debate over RTO? Here's the Big Thing Leaders Are Missing

Daren Goeson
Ivanti

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti. That's the kind of statistic that stops me cold. It doesn't take a top-notch workplace behavior analyst to guess that resentful employees are unlikely to bring their A-game (or B-game, or C-game) to work.

We've all heard the term "quiet quitting," but this goes deeper. Resenteeism describes workers who actively dislike their roles yet remain trapped by economic uncertainty, benefits or limited options. Nearly four out of 10 employees also engage in presenteeism — showing up physically or virtually without truly working.

This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble.

When IT Workers Check Out, Everyone Feels It

The IT problem is two-pronged: On one side, unfocused employees create significant risks and gaps that IT has to manage.

On the other side, IT workers themselves are susceptible to the same resenteeism and presenteeism as everyone else. In some cases, likely more so because of the added pressures in prong one.

64% of IT workers say they're feeling pressure from employers to return to the office, despite 83% considering flexible work to be of high value or essential to their roles.

This creates a dangerous disconnect. When the people responsible for keeping systems running, securing networks and solving technical problems become disengaged, the ripple effects touch every corner of the organization.

IT professionals report a 58-point gap between their desired flexibility and what their employers actually provide. Compare that to the 50-point gap in the experience of non-IT office workers, and you will see why technical talent feels particularly squeezed.

Only 25% of IT professionals describe their workplace as highly flexible. Yet these same people manage the technology that makes remote work possible for everyone else.

Here's where it gets complicated. Nearly half of IT workers say collaborating with colleagues and getting their manager's attention is easier inside the office. This creates a genuine tension between personal preferences and professional effectiveness.

But rather than solving the underlying problem, many organizations default to mandating office presence. This is treating a symptom while ignoring the disease.

The real issue? Many companies still struggle to provide effective out-of-office work experiences. When collaboration tools feel clunky, when getting help takes too long or when technical problems slow everyone down, of course being in the office seems more efficient.

The Automation Opportunity We're Missing

Companies are taking steps to improve remote work effectiveness, but they're not going far enough. 48% provide self-service resources for IT requests. 43%,  monitor device and application performance. Another 43% use automation for ticket resolution.

These efforts help, but they barely scratch the surface of what's possible with modern technology.

Despite 86% of IT professionals agreeing that AI-powered technology is important for making IT operations more efficient, actual deployment lags badly. Fewer than half use AI and automation for predictive IT maintenance or detecting usage anomalies — scenarios where these tools are highly effective.

Root-cause analysis and intelligent ticket escalation indicates that fewer than one in three organizations deploy AI for these critical functions. Not great.

Meanwhile, 38% of workers use unauthorized AI tools, suggesting they're finding ways to be more productive despite organizational inertia.

Things Are Getting … Shadowy

The disconnect between what IT professionals need and what they're getting creates more than workplace dissatisfaction. Resentful, disengaged IT workers make poor security decisions. They take shortcuts. They stop proactively monitoring systems or suggesting improvements.

When technical problems pile up and response times slow down, everyone suffers. Sales teams can't access CRM systems. Customer service representatives struggle with system outages. Remote employees lose productivity to technical glitches. Employees start being able to get away with rampant "shadow IT," where they rely on their preferred tools and applications even though those tools and applications aren't sanctioned, aren't disclosed to IT and therefore IT can't manage them. Shadow IT is always a problem, but resenteeism and presenteeism make it worse.

The human cost compounds the business impact. Talented IT professionals start looking elsewhere for roles that offer better work-life balance. Organizations lose institutional knowledge and face expensive recruitment cycles. Poor retention of top professionals adds to a truly unpleasant downward spiral.

Promoting Flexibility and Engagement

The problem is on multiple fronts, so the solution needs to be, too. Better digital employee experience (DEX) tools, which is how employees interact with their organization's digital environment, make remote work smoother and more productive. This encompasses the hardware and software employees use to perform their daily tasks, as well as the level of access and support they receive. By continuously measuring employee satisfaction and productivity within digital work environments, DEX has become a critical driver of success and growth in the era of hybrid, remote or in-office work. Additionally, for IT teams it helps reduce ticket volumes and frees up time to work on more impactful projects that nurture their professional development.

Automation handles routine tasks, freeing IT professionals to focus on strategic work that requires human judgment and creativity. Engagement improves when people feel their skills are valued rather than wasted on repetitive problems.

The flexibility gap won't close overnight, but organizations can start by measuring what matters to their IT teams and systematically addressing the biggest pain points.

This means investing in tools that make distributed work genuinely effective, not just possible. It means automating processes that currently require manual intervention. It means trusting technical professionals to manage their own productivity rather than monitoring their every move.

Daren Goeson is SVP Product Management at Ivanti

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 ...