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Traditional Helpdesk Extinct by 2027

A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink.

87% of IT workers also report that, with digital transformation having greatly expanded the size and complexity of enterprise IT environments, incident response is "economically unsustainable" unless helpdesks have significant proactive capabilities. However, while the evolution of the service desk is seen as inevitable, attitudes are uncertain as to what comes next.

Positively, nearly all respondents (96%) also say that new technologies — particularly those around AI and automation — make them excited around the future of end user computing (EUC), with the same percentage arguing that the rapid evolution of EUC makes it an attractive future career route. Yet two-thirds (68%) say they fear these technological changes could impact their own career prospects moving forward.

This is evidenced by the overwhelming agreement around the importance of proactive IT:

■ 96% say greater proactivity in anticipating and responding to IT incidents is a top priority for their department.

■ 95% say their department is currently investing significant time and resources into becoming more proactive.

■ 96% say that proactive IT incident response will protect the organization's productivity and will transform the function and focus of the service desk.

■ 93% admit that being slow to react to an incident can damage ITs reputation internally.

"The ultimate value of any technology is how well it enables people to do their jobs and how it impacts overall company productivity," said Yassine Zaied, Chief Strategy Officer, Nexthink. "Right now, businesses are spending billions on digital transformation yet seeing mixed results at best. Whether it's underperforming devices, failed adoption projects, or botched migrations, business efficiency is constantly being halted by poor digital experiences. IT is going to be the nexus for all productivity enablement moving forward, and this research shows that IT workers are already looking to make that transition. The only question is whether executives will provide the resources investment needed to support them in this journey."

The research also found that while IT workers believe that existing roles will retain or increase their relevance in the coming years, nearly all of them (92%) feel that the service desk will evolve into the "experience desk" in the coming years and that this will require significant technological change.

The three most important upskilling areas identified were an understanding of the employee experience (58%), generative AI skills (57%), and an ability to deliver technological training and instruction (53%).

However, despite the openness to a new form of helpdesk from IT professionals, there are significant concerns about how such a transformation will be perceived by the wider organization. Three-quarters (76%) of IT staff say employees are resistant to deploying their own IT fixes, with similar majorities believe that insufficient employee training (75%), and a general resistance to change (74%) will hold back digital adoption of new tools and self-service incident remediation.

"Efficiency isn't merely a technical problem, it's about the day-to-day human experience," added Zaied. "Simply trying to fix problems as they arise means playing a losing game of whack-a-mole. Instead, organizations need to take a holistic approach employees digital experience by building better functioning environments that can improve productivity, rather than impeding it."

Methodology: Total sample size was 1,000 IT workers across the USA (400), UK (200), Germany (200), and France (200). The survey was conducted online between May 20 and June 12, 2024.

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

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Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

Traditional Helpdesk Extinct by 2027

A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink.

87% of IT workers also report that, with digital transformation having greatly expanded the size and complexity of enterprise IT environments, incident response is "economically unsustainable" unless helpdesks have significant proactive capabilities. However, while the evolution of the service desk is seen as inevitable, attitudes are uncertain as to what comes next.

Positively, nearly all respondents (96%) also say that new technologies — particularly those around AI and automation — make them excited around the future of end user computing (EUC), with the same percentage arguing that the rapid evolution of EUC makes it an attractive future career route. Yet two-thirds (68%) say they fear these technological changes could impact their own career prospects moving forward.

This is evidenced by the overwhelming agreement around the importance of proactive IT:

■ 96% say greater proactivity in anticipating and responding to IT incidents is a top priority for their department.

■ 95% say their department is currently investing significant time and resources into becoming more proactive.

■ 96% say that proactive IT incident response will protect the organization's productivity and will transform the function and focus of the service desk.

■ 93% admit that being slow to react to an incident can damage ITs reputation internally.

"The ultimate value of any technology is how well it enables people to do their jobs and how it impacts overall company productivity," said Yassine Zaied, Chief Strategy Officer, Nexthink. "Right now, businesses are spending billions on digital transformation yet seeing mixed results at best. Whether it's underperforming devices, failed adoption projects, or botched migrations, business efficiency is constantly being halted by poor digital experiences. IT is going to be the nexus for all productivity enablement moving forward, and this research shows that IT workers are already looking to make that transition. The only question is whether executives will provide the resources investment needed to support them in this journey."

The research also found that while IT workers believe that existing roles will retain or increase their relevance in the coming years, nearly all of them (92%) feel that the service desk will evolve into the "experience desk" in the coming years and that this will require significant technological change.

The three most important upskilling areas identified were an understanding of the employee experience (58%), generative AI skills (57%), and an ability to deliver technological training and instruction (53%).

However, despite the openness to a new form of helpdesk from IT professionals, there are significant concerns about how such a transformation will be perceived by the wider organization. Three-quarters (76%) of IT staff say employees are resistant to deploying their own IT fixes, with similar majorities believe that insufficient employee training (75%), and a general resistance to change (74%) will hold back digital adoption of new tools and self-service incident remediation.

"Efficiency isn't merely a technical problem, it's about the day-to-day human experience," added Zaied. "Simply trying to fix problems as they arise means playing a losing game of whack-a-mole. Instead, organizations need to take a holistic approach employees digital experience by building better functioning environments that can improve productivity, rather than impeding it."

Methodology: Total sample size was 1,000 IT workers across the USA (400), UK (200), Germany (200), and France (200). The survey was conducted online between May 20 and June 12, 2024.

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...