A sweeping new industry report exposes a dangerous confidence gap between C-suite optimism and frontline exhaustion as AI reshapes the future of IT work.
The SolarWinds 2026 IT Trends Report, based on a survey of over 1,000 IT professionals across the US, UK, and India, paints a striking picture: artificial intelligence is transforming IT work faster than organizations can adapt to it. The people feeling it most are the ones at the bottom of the org chart, not the top.
A tale of two realities
Nearly half of C-suite executives believe their IT teams are extremely prepared for AI’s evolving demands. Just one in eight technical contributors agrees. This isn’t a minor discrepancy — it’s a structural blind spot that puts real teams at risk. First-line managers are more than twice as likely as senior leaders to say AI has raised expectations without actually reducing their workload.
AI helps, but not as much as promised
The benefits of AI in IT are real. Two-thirds of respondents say it has reduced manual effort and the majority credit it with faster root-cause analysis. But the picture is uneven. Alert reduction remains elusive, and a meaningful share of respondents say AI hasn’t helped them personally at all. The pattern that emerges is of a technology that works well as a force multiplier, but is still far from autonomous.
“AI saves time in some places and creates new forms of cognitive overhead in others.”
Trust is the biggest obstacle
The top friction point isn’t technical; it’s psychological. A large majority of respondents say they need to double-check everything AI produces, and more than half struggle to trust its recommendations outright. Over a third say AI has increased their overall cognitive load. Data privacy anxiety is blocking many from using AI tools effectively, and half cite a lack of clear ownership or governance guidelines at their organizations.
Roles are changing fast and not getting simpler
Eight in 10 IT professionals agree that their role is shifting from hands-on operator to strategic orchestrator. Technical positions are becoming more strategic, more automation-driven, more cross-functional, and more complex. AI is changing how people work, not how much they work. The new job description increasingly includes interpreting AI outputs, governing risk, designing workflows, and proving ROI to the boardroom.
What leaders must do now
The report is clear on the path forward. Organizations need to treat AI training as a structural investment, not an afterthought. The majority of frontline staff say formal training is the top priority, yet far fewer C-suite leaders agree. Governance frameworks must be built before they’re needed, not after a breach of trust. And a fragmented IT infrastructure, which affects most organizations surveyed, must be unified, because AI is only as effective as the data it can access.
The organizations that will win this transition are not the ones moving fastest. They are the ones building the foundation that makes speed sustainable.