A survey of 1,048 IT professionals reveals the most critical truth for 2026 IT trends: AI is not working exactly as intended in the field, and technical teams know this better than executives.
Source: SolarWinds IT Trends Report 2026 · UserEvidence Research · N=1,048
The most striking finding of the 2026 trend report is a pair of numbers: 47% of the management layer says IT teams are "extremely ready" for the new competencies required by AI. However, the rate of technical teams working in the field who answer "yes" to the same question is only 13%.
This is not merely a difference in perception. Management evaluates AI adoption much higher than what is actually experienced. As a matter of fact, while 22% of the C-suite states that their companies have "fully embraced" AI, this rate drops to 5% for first-line managers and 12% for technical contributors.
In the context of 2026 IT trends, this disconnect is one of the most silent yet dangerous obstacles organizations face in their AI journey. Expectations flow from top to bottom; resources and support do not always arrive at the same speed.
C-suite · Management Layer
Finds the IT team "extremely ready" for AI
Technical Contributors
Answer "extremely ready" to the same question
Note: The research was conducted with 1,048 IT professionals from 3 countries (US, UK, India) and organizations of various sizes within the scope of 2026 trends. Technology and SaaS lead the sector distribution with 34%.
Despite all this tension, the contribution of AI to IT operations in terms of 2026 trends is concrete and measurable. Data on where AI is most useful in daily operations is listed as follows:
Organizations that fully embrace AI are experiencing the best of the 2026 IT trends. 67% of this group report a reduction in manual load, 57% an increase in proactive problem prevention capacity, and 55% state an expansion in management capacity per IT professional.
The relatively low rates in areas such as alert reduction (27%) and outage prevention (38%) indicate that AI currently works better as a tool that augments human capacity rather than an autonomous system.
Teams gaining time do not leave this gain idle. 61% of those saving at least moderate time thanks to AI turn to improving operational processes, 57% focus on high-value initiatives, and 48% aim to deepen AI and automation adoption.
In the IT trends analysis, the biggest friction points caused by AI cluster around a lack of trust. The most frequently voiced problems by IT teams are, respectively:
The most paradoxical finding of the 2026 IT trends report is this: While AI reduces the load in some areas, it gives way to more cognitively intensive tasks.
Say cognitive load increased
AI brings extra validation, governance, and integration overhead
Say cognitive load decreased
Only one-fifth feel a clear relief
The top three reasons for how AI increases cognitive load: the necessity to validate outputs (60%), managing governance and compliance requirements (58%), and integration into existing workflows (56%). This picture clearly shows that the rhetoric of AI "making things easier" in 2026 trends has not yet been fully realized.
Main obstacles to using AI effectively.
In the context of 2026 trends, the most profound impact of AI on IT manifests itself in role transformation: 80% of IT professionals agree with the view that the role of technical personnel has transitioned "from operator to orchestrator." Personally executing tasks is being replaced by managing systems, workflows, and AI tools.
Data on how technical roles have evolved over the past few years solidifies this transformation:
The promising signal is here: The rate of those reporting a decrease in time spent on incident response and unplanned issues is 23%. This indicates that reactive activities, which historically consumed IT resources the most, are beginning to recede; one of the most positive findings of 2026 trends.
81% of IT professionals share this view: AI is not changing "how hard we work", but "how we work". New tasks replace old ones; the workload doesn't decrease, it transforms.
IT teams face these new responsibilities today: interpreting AI-generated insights (55%), managing AI usage and risk (52%), designing automated workflows (45%), coordinating cross-team incident management (44%), and connecting technology initiatives to measurable business outcomes (39%).
The 2026 trends report does not just identify problems; it also offers a roadmap.
61% of first-line managers and technical contributors see formal training as the most critical element. In the C-suite, this rate is only 39%. As AI evolves from an assistant to an agent in 2026 trends, teams must learn not only "what is done"; but also when to trust, when to step in, and how to manage it. This is a skill set acquired through structured programs, not mere exposure.
71% of respondents view the need to validate outputs and 43% see data privacy concerns as obstacles to AI. The root cause is the same: Organizations are deploying AI to the field without setting the rules. 2026 trends show that strong governance does not slow down AI — it makes adoption permanent.
67% of participants say there is at least a moderate level of fragmentation in their IT environments, and 83% state that AI is only as effective as the quality of the data it can access. A fragmented infrastructure is AI hitting the ceiling. Within the scope of 2026 trends, a unified observability infrastructure covering cloud, on-premise, and hybrid environments is no longer an option, but a prerequisite.
The winning organizations in this transformation will not be the fastest movers, but those that establish the most solid foundation.
AI is fundamentally transforming how IT works. Bridging the gap between leadership expectations and field reality, making training structured, and treating AI as a part of the design rather than an "afterthought" — this is the summary of 2026 IT trends hidden in these three sentences.
Source: SolarWinds IT Trends Report 2026 · "The Human Side of Autonomous IT"
Research: UserEvidence · N=1,048 IT Professionals · US / UK / India