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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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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.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.