Public sector IT teams report AI is adding pressure, not reducing it
More than half of UK public sector IT professionals say AI has made their roles more demanding, according to new research from SolarWinds. The finding contradicts the common expectation that AI would ease workloads for stretched teams operating under budget constraints.
A survey of global IT professionals found that 56 percent of public sector respondents report increased pressure from AI adoption. While organisations are deploying the technology to drive efficiency, the implementation itself is creating additional responsibility and oversight burdens.
Fragmented systems complicate deployment
Nine in 10 public sector organisations say their IT systems are fragmented across multiple platforms. This fragmentation makes it harder to introduce and manage new technologies consistently, creating a significant barrier to effective AI implementation.
The complexity of these existing environments means AI doesn't simply slot in as a solution. Instead, it becomes another layer of technology that teams must integrate, monitor, and maintain.
Work is changing, not shrinking
Nearly three quarters (74 percent) of public sector IT professionals say AI is changing how their teams operate but not reducing overall workload. The shift in how work gets done is itself creating strain.
Cognitive load has increased for 32 percent of respondents. Another 35 percent report that cognitive load has reduced in some areas but risen in others, suggesting an uneven distribution of benefits across teams.
Skills and frameworks lag behind adoption
More than half of organisations surveyed say clearer AI policies and guardrails would help teams adapt to the technology. Skills gaps and insufficient training are expected to become the second biggest challenge as AI automation spreads.
The most in-demand skills for public sector IT teams are designing AI-driven workflows (50 percent), evaluating and validating AI outputs (43 percent), and interpreting AI-generated insights (42 percent).
How to make AI work in resource-constrained environments
Rich Giblin, head of public sector and defence at SolarWinds, said: "If adopting AI requires a major project, complex configuration or dedicated resource to manage it, then the effort hasn't been reduced, it has just been moved."
The most effective tools in resource-constrained environments are practical to deploy, easy to use, and deliver benefits from day one. AI should be treated as a precision tool to support service quality rather than as a blanket fix for team pressure.
Organisations need to be realistic about where AI adds value. Used well, it can support efficiency and help teams work differently, but only within clear boundaries.
For AI for Government professionals navigating these challenges, understanding both the potential and the limitations of the technology is essential to successful implementation.
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