Workplace tech has officially entered high gear. AI is embedding itself into everyday operations, and the modern workplace is more distributed and demanding than ever. For network and IT teams, the upside is significant—but only with the visibility and control needed to keep everything running smoothly. Here are 20+ technology in the workplace statistics shaping 2026 that can give IT and network teams a glimpse into where we’re headed.
Key technology in the workplace statistics:
- 100% of IT work is expected to involve AI by 2030
- Nearly 60% of leaders cite legacy integration and risk as top agentic AI barriers
- Worker access to AI jumped 50% year over year
- Only 34% of companies are using AI to truly transform the business
- 74% of organizations plan to deploy agentic AI within two years
- 84% of companies haven’t redesigned jobs around AI
- 68% of non-technical workers are open to using AI
- 69% of managers say hybrid and remote work boosts productivity
- 73% of hybrid employees are in the office three to four days a week
- 46% of workers are worried about inadequate IT support
- 66% of organizations experienced a data breach in the past year
- 94% of security leaders say AI will drive cyber change
- 78% of highly resilient organizations cite third-party risk as the top threat
- 49% of security teams say staffing and skills gaps are their top challenge
- 40% of organizations now review AI tools continuously before deployment
- 80% of employees now use AI at work to boost productivity
- 59% of security teams say tool maintenance consumes too much time
- 82% of leaders expect digital labor to expand workforce capacity
- Employees face up to 275 interruptions per day
AI Adoption
#1: By 2030, 100% of IT work will involve AI in some form
Gartner’s 2025 CIO survey signals a structural shift: AI is moving from optional tooling to embedded infrastructure across IT operations. For network and IT leaders, this raises the stakes on both AI integration and the human workflows that surround it.
Key takeaway: The future isn’t AI replacing IT teams. It’s AI-augmented operations becoming the default, which means organizations need to modernize both their tooling and their talent strategy now.
#2: Nearly 60% of business leaders say legacy integration and risk concerns are the biggest barriers to agentic AI
Agentic AI may be advancing quickly, but most organizations are still constrained by the realities of their existing environments. For network and IT leaders, the friction shows up in operations, architecture, and governance.
Key takeaway: AI adoption is less about model capability and more about infrastructure readiness. Teams that modernize legacy systems, strengthen compliance posture, and build in-house expertise will be positioned to move faster than competitors still stuck at the integration stage.
#3: Worker access to AI rose by 50% in 2025
AI is quickly escaping the lab. Organizations expanded employee access to sanctioned AI tools from under 40% of workers to roughly 60% in just 12 months, signaling a clear move toward everyday operational use. While only 25% of companies have pushed 40% or more of AI experiments into production so far, another 54% expect to hit that mark within the next three to six months.
Key takeaway: For network and IT teams, today’s “safe” pilots are about to become very real production traffic, which means now is the time to shore up visibility, performance, and governance.
#4: Only 34% of companies are using AI to truly transform the business
Most organizations are seeing productivity gains from AI, but far fewer are using it to drive deep operational change. About 34% report using AI to fundamentally transform how they operate, while 30% are redesigning key processes, and 37% are still applying AI at the surface level with minimal process change.
Key takeaway: There’s a big difference between AI efficiency and AI transformation. Network and IT leaders should expect growing pressure to support more business-critical, AI-driven workflows as organizations move beyond quick wins toward full-scale reinvention.
#5: 74% of companies plan to deploy agentic AI, but only 21% have mature governance
Autonomous AI agents are moving into the enterprise fast, with nearly three-quarters of organizations planning deployments within two years. The catch? Only about one in five say they have strong governance models in place, creating a widening gap between adoption speed and oversight readiness.
Key takeaway: Agentic AI is scaling faster than the guardrails around it. Network and IT teams should expect increased scrutiny around visibility, control, and policy enforcement as autonomous systems begin making more decisions inside the enterprise.
#6: 84% of companies haven’t redesigned jobs around AI
AI ambitions may be high in 2026, but most organizations are still running yesterday’s workflows. Even as automation investments grow, the vast majority of companies have yet to meaningfully redesign roles or processes to take full advantage of AI capabilities.
Key takeaway: There’s a widening gap between AI investment and operational reality. For network leaders, this signals a coming wave of change as organizations inevitably re-architect workflows, which will drive new demands on infrastructure, integration, and visibility.
#7: 68% of non-technical workers are open to using AI, but skepticism persists
Employee sentiment toward AI in 2026 is still cautiously optimistic, not blindly enthusiastic. While 13% of non-technical workers are actively eager to use AI and another 55% are open to it, a meaningful minority remains hesitant, with 21% reluctant and 4% actively distrustful.
Key takeaway: AI adoption isn’t just a technology rollout; it’s a change management exercise. Network and IT teams should expect uneven usage patterns and support needs as organizations work to build trust, governance, and user confidence.
Remote Work
#8: 69% of managers say hybrid and remote work boosts team productivity
Flexible work isn’t just sticking around; it’s delivering measurable results. Nearly seven in 10 managers report higher team productivity in hybrid or remote environments, reinforcing that distributed work has become more than just a workplace perk.
Key takeaway: Remote and hybrid work continue to raise the bar for network reliability and user experience. IT teams need consistent visibility and performance across home, office, and cloud environments to support a workforce that’s no longer tied to one location.
#9: 73% of hybrid employees are in the office three to four days a week
Hybrid work is settling into a new rhythm, with most employees now reporting they come into the office three days (39%) or four days (34%) per week—both figures trending up year over year. But flexibility remains a non-negotiable for many workers.
Key takeaway: Nearly 40% of employees say they’d start job hunting if flexibility were removed, which means IT teams must continue to support seamless experiences across both office and remote environments for the long haul.
#10: 46% of workers are worried about inadequate IT support
The frustration is real. Nearly eight in 10 employees (77%) say they’ve lost time to technical issues, with hybrid meetings a major culprit. Workers report losing more than six minutes on average just getting hybrid meetings started, and 27% say setup eats up 10+ minutes each time.
Key takeaway: For network and IT teams, this is a clear signal that reliability, performance visibility, and proactive issue resolution are essential to keeping hybrid work running smoothly.
Cybersecurity
#11: 66% of organizations experienced a data breach in the past year
Two-thirds of organizations report suffering a breach, while 41% faced ransomware and 38% dealt with insider risk last year. Compounding the issue, nearly half (49%) admit to violating security regulations in the same timeframe.
Key takeaway: In 2026, cyber risk is a persistent operational reality. For network and IT teams, continuous visibility, stronger controls, and faster detection are critical to reducing both the likelihood and the downstream blast radius of incidents.
#12: 94% of security leaders say AI will be the biggest driver of cyber change
AI is rapidly moving to the centre of the security conversation. Nearly all respondents expect it to reshape cybersecurity in the year ahead, and organizations are acting on that belief. The share of teams formally assessing the security of AI tools has jumped from 37% to 64% year over year.
Key takeaway: AI is expanding both the attack surface and the defence toolkit. Network and IT teams should expect rising pressure to monitor AI traffic, govern new data flows, and ensure visibility keeps pace with rapidly evolving AI adoption.
#13: 78% of highly resilient organizations see third-party risk as the top cyber threat
Security priorities shift as organizations mature. Among highly resilient companies, 78% of CEOs now point to supply chain and ecosystem dependencies as their biggest challenge. Less mature organizations are still focused inward, citing lack of funding (63%) and cybersecurity skills shortages (56%) as their primary barriers.
Key takeaway: As cyber maturity grows, risk moves beyond the firewall. Network and IT leaders need stronger visibility across vendors, partners, and external connections, not just internal environments, to keep resilience strategies effective.
#14: 49% of security teams say understaffed and underskilled teams are their top security challenge
Security leaders are facing a talent squeeze from both directions. Nearly half report staffing and skills shortages as their biggest hurdle, with the largest gaps appearing in detection engineering, DevSecOps, and compliance management—all areas considered critical for the future SOC.
Key takeaway: The cybersecurity skills gap is becoming more strategic. For network and IT leaders, this increases the importance of automation, tool consolidation, and strong visibility to help lean teams defend increasingly complex environments.
#15: 40% of organizations now review AI tools continuously before deployment
More teams are moving beyond one-and-done AI risk checks. In 2026, 40% report conducting periodic reviews of AI tools prior to deployment, compared with 24% that still rely on a single assessment. Even so, roughly one-third of organizations admit they have no formal AI security validation process at all.
Key takeaway: Continuous assurance is emerging, but coverage is uneven. Network and IT leaders should expect growing pressure to implement ongoing visibility, governance, and risk monitoring as AI tools become embedded deeper into production environments.
Productivity
#16: 80% of employees now use AI to boost productivity at work
AI is quickly becoming part of the everyday toolkit. Usage climbed from 72% in 2024 to 80% in 2025, and more than a quarter of employees (27%) say they’re using AI daily to streamline tasks and boost productivity.
Key takeaway: AI-driven workflows are moving into the operational mainstream. Network and IT teams should expect sustained growth in AI-generated traffic, integrations, and support demands as usage shifts from occasional experimentation to daily dependence.
#17: 59% of security teams say tool maintenance is eating too much of their time
Security teams are feeling the weight of their own stacks. More than half (59%) report spending excessive time maintaining tools and workflows, and 51% say their tools don’t integrate well with each other. Instead of improving security posture, complexity is creating drag.
Key takeaway: Tool sprawl is becoming a security risk in itself. For security leaders, the priority is shifting toward consolidation, integration, and end-to-end visibility that reduces operational overhead while strengthening defense.
#18: 82% of leaders expect digital labor to expand workforce capacity
Automation is quickly becoming a pressure valve for stretched teams. More than four in five leaders are confident they’ll use digital labor (agentic AI) in the next 12 to 18 months, driven by a growing capacity crunch. Over half (53%) say productivity must rise, yet 80% of the global workforce report they don’t have enough time or energy to meet current demands.
Key takeaway: Digital labor is shifting from experiment to necessity. Network and IT teams should prepare for sustained growth in automated workloads, integrations, and always-on systems as organizations look to technology to close the human capacity gap.
#19: Employees face up to 275 interruptions a day at work
The modern workday is increasingly fragmented. Workers are interrupted roughly every two minutes, with 60% of meetings happening ad hoc, and after-hours collaboration is climbing year over year. The result: nearly half of employees (48%) and more than half of leaders (52%) say work now feels chaotic.
Key takeaway: Always-on collaboration is reshaping traffic patterns across networks. For IT and network teams, the priority is ensuring performance, reliability, and visibility can keep up with unpredictable, real-time workloads that no longer follow a clean 9 to 5 pattern.
What does the future of technology in the workplace look like?
If the data tells us anything, it’s that workplace technology is entering a more complex (and more consequential) phase. AI adoption is accelerating, hybrid work is settling into long-term patterns, and security risk is expanding beyond traditional boundaries. Over the next five years, network and IT teams will need to balance speed, visibility, and control more carefully than ever.
Emerging trends to watch:
- AI will become embedded in everyday IT operations: AI is moving from experimentation to default infrastructure. As more workflows become AI-assisted or AI-driven, organizations will face growing pressure to manage new traffic patterns, data flows, and model governance at scale.
- Agentic AI will introduce new governance and risk challenges: Autonomous systems promise efficiency gains, but oversight is lagging in adoption. Expect increased focus on policy enforcement, auditability, and real-time visibility as enterprises work to avoid unmanaged AI decision-making.
- Tool sprawl will drive consolidation and platform thinking: Security and IT teams are increasingly burdened by fragmented stacks. Over the next several years, many organizations will prioritize integration, consolidation, and unified visibility to reduce operational drag and improve response times.
- Cyber risk will expand beyond the traditional perimeter: As ecosystems grow more interconnected, third-party and supply chain exposure will become a primary concern. Network teams will need deeper visibility into external dependencies—not just internal infrastructure—to maintain resilience.
- The human capacity gap will accelerate automation adoption: With teams stretched thin, digital labor and automation will continue to rise. The opportunity is significant, but so is the risk of introducing unmanaged complexity if infrastructure, monitoring, and governance don’t evolve in parallel.
Together, these shifts point to a workplace that is more automated, more distributed, and more dependent on strong network and IT foundations than ever before.
Maintain visibility & control over your workplace technology
The name of the game in 2026, according to these technology in the workplace statistics? More AI, more automation, more cyber risks—and significantly more complexity for the teams keeping it all running.
As environments become more distributed and toolchains more crowded, gaps in visibility, performance, and governance can quickly turn into real operational risk. Network and IT leaders who stay ahead will be the ones who simplify their stacks, strengthen oversight, and gain clear, real-time insight into what’s happening across their environments. That’s where Auvik can help, with network management built for modern, fast-moving IT.
Explore how to gain deeper visibility and control with Auvik’s Network Management Platform and book a demo today.
