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Generation Z: The Future of Work and Technology

"Self‑absorbed, entitled, and attached to their mobile phones." These are some of the common perceptions of Gen Zs, the generation of people born between 1997 and 2012 that is now entering the workforce. But, according to recent research conducted by ServiceNow, Gen Zs are defying some of these stereotypes in the workplace. ServiceNow findings bust several of these myths and show that Gen Zs recognize the promise of technology to improve work experiences, and are not only eager to learn from other generations, but also believe they can help older generations be more open‑minded.

“Gen Zs represent the future of work. As companies drive digital transformation, which impacts work environments and experiences for all employees, it’s critical to understand, rather than stereotype, our newest generation of workers,” said Pat Wadors, ServiceNow’s Chief Talent Officer.

Today, technology is blurring the lines of work and home life like never before. With easy access to apps and communications technology, employees can be accessible 24/7. For Gen Z workers, who grew up with smartphones in hand, technology is second nature.

With one‑third of our lives spent at work, Gen Zs are eager for technology to help simplify their work lives and recognize that technology can play a more significant role in the workplace. Done right, technology can be the catalyst that enables employees to easily navigate the “moments that matter” throughout their career.

According to the new research, Gen Zs and the Future of Work, ServiceNow found that:

■ 69% of Gen Z workers believe work life should be as easy as home life.

■ 54% of Gen Zs want to use 5G networks at work.

■ 53% of Gen Zs want to use connected/smart devices in the workplace.

■ 83% want the apps they use to be mobile optimized.

■ 49% want apps to be voice activated — More Gen Zs in technical positions want voice activated apps (57% vs. 36% of those in non-tech positions).

■ 43% of Gen Zs want to use both wearable technology and AI tools on the job.

■ Gen Zs in technical positions rate state-of-the-art technology 4x higher than Gen Zs in non-tech positions (12% vs. 3%).

■ In the first weeks on the job, nearly a quarter of Gen Zs say it was difficult to use the apps and software required at their workplace.

As Gen Zs increasingly join the workforce, companies should be prepared not only to create a workplace culture that suits their needs, but also utilizes technology to help simplify their work lives. According to Wadors, “As employers, we have an opportunity to be open‑minded and overcome the stereotypes associated with Gen Zs in the workplace. We should listen, learn, and help create an environment and culture that not only equips Gen Zs to improve and grow, but also enables their managers to adapt to their needs.”

Methodology: ServiceNow’s research, “Gen Zs and the Future of Work,” examines the future of work through the eyes of Gen Zs workers. It was conducted in July and August 2019 via a 10‑minute online survey. A total of 424 Gen Zs between the ages of 18‑22 responded to the survey. These respondents work at companies with 1,000 or more employees, including ServiceNow, and they regularly use a computer, laptop, smartphone, or tablet on the job. In addition to this, a separate survey was conducted with 73 ServiceNow Gen Z managers that responded in August 2019.

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Generation Z: The Future of Work and Technology

"Self‑absorbed, entitled, and attached to their mobile phones." These are some of the common perceptions of Gen Zs, the generation of people born between 1997 and 2012 that is now entering the workforce. But, according to recent research conducted by ServiceNow, Gen Zs are defying some of these stereotypes in the workplace. ServiceNow findings bust several of these myths and show that Gen Zs recognize the promise of technology to improve work experiences, and are not only eager to learn from other generations, but also believe they can help older generations be more open‑minded.

“Gen Zs represent the future of work. As companies drive digital transformation, which impacts work environments and experiences for all employees, it’s critical to understand, rather than stereotype, our newest generation of workers,” said Pat Wadors, ServiceNow’s Chief Talent Officer.

Today, technology is blurring the lines of work and home life like never before. With easy access to apps and communications technology, employees can be accessible 24/7. For Gen Z workers, who grew up with smartphones in hand, technology is second nature.

With one‑third of our lives spent at work, Gen Zs are eager for technology to help simplify their work lives and recognize that technology can play a more significant role in the workplace. Done right, technology can be the catalyst that enables employees to easily navigate the “moments that matter” throughout their career.

According to the new research, Gen Zs and the Future of Work, ServiceNow found that:

■ 69% of Gen Z workers believe work life should be as easy as home life.

■ 54% of Gen Zs want to use 5G networks at work.

■ 53% of Gen Zs want to use connected/smart devices in the workplace.

■ 83% want the apps they use to be mobile optimized.

■ 49% want apps to be voice activated — More Gen Zs in technical positions want voice activated apps (57% vs. 36% of those in non-tech positions).

■ 43% of Gen Zs want to use both wearable technology and AI tools on the job.

■ Gen Zs in technical positions rate state-of-the-art technology 4x higher than Gen Zs in non-tech positions (12% vs. 3%).

■ In the first weeks on the job, nearly a quarter of Gen Zs say it was difficult to use the apps and software required at their workplace.

As Gen Zs increasingly join the workforce, companies should be prepared not only to create a workplace culture that suits their needs, but also utilizes technology to help simplify their work lives. According to Wadors, “As employers, we have an opportunity to be open‑minded and overcome the stereotypes associated with Gen Zs in the workplace. We should listen, learn, and help create an environment and culture that not only equips Gen Zs to improve and grow, but also enables their managers to adapt to their needs.”

Methodology: ServiceNow’s research, “Gen Zs and the Future of Work,” examines the future of work through the eyes of Gen Zs workers. It was conducted in July and August 2019 via a 10‑minute online survey. A total of 424 Gen Zs between the ages of 18‑22 responded to the survey. These respondents work at companies with 1,000 or more employees, including ServiceNow, and they regularly use a computer, laptop, smartphone, or tablet on the job. In addition to this, a separate survey was conducted with 73 ServiceNow Gen Z managers that responded in August 2019.

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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...