Skip to main content

Managing the Changing Hybrid Workforce

Shashi Kiran
Aryaka Networks

The pandemic saw lockdowns, quarantines, self-imposed isolation, restructuring business for online platforms, and remote workers. In short, enterprises the world over participated in the biggest remote work experiment in human history.

Now, more than a year since its start, we are in a relatively better position to gauge the impact of remote working on how we communicate, connect, and create. Large Tech companies have provided tremendous flexibility for their employees. However, this is not possible for all types of businesses and as several CEOs have made a call to bring their employees back into the office, the transition may not be as easy on the technology or human side.

One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future.

According to Gartner, by 2025, 50% of knowledge workers will be working remotely. Of those, 80% will be hybrid, splitting their time between home and an office, while 20% will be totally remote. For this article, we'll define onsite workers as those who work either in an enterprise branch or HQ, and for the sake of argument, remote workers are those working only from home and hybrid workers are those splitting time between a branch/HQ and home.

To remain competitive, enterprises must embrace every type of hybrid work style whether it's planning for a co-located or distributed workforce. And it doesn't matter which country or continent your enterprise calls home or specific roles within the organization; there's not running away from this trend. According to Capgemini, even when the pandemic subsides, around 45% or employees think they will spend three days or more per week working remotely. What's interesting is that Capgemini also found that 63% of the organizations they surveyed observed an increase in their productivity levels during the Q3 2020 reporting period, versus 16% who said they saw no change and 20% who believed they saw a decrease.

From an enterprise perspective, 88% agree that they have realized real-estate cost savings with remote working in the last three to four months, and 92% expect savings in the next two to three years. One positive outcome of this is potential reallocation of investment that shifts from facilities to better equipping the hybrid worker with an "enterprise-class" experience.

However, this new hybrid work flexibility does not come without its costs. According to Microsoft, which looked at year-over-year growth, weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout.


And this type of work activity is bandwidth intensive and poses challenges to enterprise remote workers. According to Aryaka Networks' 2021 State of the WAN report, enterprises ranked the biggest barriers to effective collaboration as follows:

■ Set up and management of underlying network infrastructure (42%)

■ Lag/Delay in communication (42%)

■ Poor voice or video quality (40%)

■ Frequently dropped calls (38%)

■ Only 13 percent of respondents said everything is perfect.

The State of the WAN report also identified the top existing WAN infrastructure challenges with the top ones being:

■ Complexity (37%)

■ Slow access (33%)

■ Slow performance (32%)

■ Deployment times (29%)

■ Security (28%)

■ Poor voice or video quality (23%)

■ High cost (20%)

■ Lack of visibility (20%)

Taking a Cloud-First Approach for Hybrid Workforce Simplicity

For enterprises to effectively manage the new realities of the hybrid workforce, they can either do it themselves through various hardware and software solutions, or they can take a managed service provider route. The do-it-yourself approach while maintaining application performance offer some levels of autonomy, it is arguably more complex, especially when you're talking about securely connecting people/branches on a global scale.

A managed approach, on the other hand, offers an "as-a-Service" consumption model that features more agility, lower TCO, fewer SLA headaches, and high application performance. Just be mindful of how the service provider integrates/stitches together all the key components, their effective global reach, and that they don't try to lock you in with their services contracts. Also, it helps to look for one-stop-shop service providers that offer their own technology.

If you've still not started planning for the future of your hybrid workforce, you might want to start now. When shopping for an enterprise WAN solution, make sure it is one that is flexible, with the ability to adjust bandwidth across sites as needed, support potential surges of remote/hybrid workers, and enables the rapid deployment of cloud-based or other SaaS-based solutions. Investing in a WAN solution that's geared for the hybrid workforce gives enterprises a safety blanket to weather whatever life throws your way.

Shashi Kiran is CMO at Aryaka Networks

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

Managing the Changing Hybrid Workforce

Shashi Kiran
Aryaka Networks

The pandemic saw lockdowns, quarantines, self-imposed isolation, restructuring business for online platforms, and remote workers. In short, enterprises the world over participated in the biggest remote work experiment in human history.

Now, more than a year since its start, we are in a relatively better position to gauge the impact of remote working on how we communicate, connect, and create. Large Tech companies have provided tremendous flexibility for their employees. However, this is not possible for all types of businesses and as several CEOs have made a call to bring their employees back into the office, the transition may not be as easy on the technology or human side.

One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future.

According to Gartner, by 2025, 50% of knowledge workers will be working remotely. Of those, 80% will be hybrid, splitting their time between home and an office, while 20% will be totally remote. For this article, we'll define onsite workers as those who work either in an enterprise branch or HQ, and for the sake of argument, remote workers are those working only from home and hybrid workers are those splitting time between a branch/HQ and home.

To remain competitive, enterprises must embrace every type of hybrid work style whether it's planning for a co-located or distributed workforce. And it doesn't matter which country or continent your enterprise calls home or specific roles within the organization; there's not running away from this trend. According to Capgemini, even when the pandemic subsides, around 45% or employees think they will spend three days or more per week working remotely. What's interesting is that Capgemini also found that 63% of the organizations they surveyed observed an increase in their productivity levels during the Q3 2020 reporting period, versus 16% who said they saw no change and 20% who believed they saw a decrease.

From an enterprise perspective, 88% agree that they have realized real-estate cost savings with remote working in the last three to four months, and 92% expect savings in the next two to three years. One positive outcome of this is potential reallocation of investment that shifts from facilities to better equipping the hybrid worker with an "enterprise-class" experience.

However, this new hybrid work flexibility does not come without its costs. According to Microsoft, which looked at year-over-year growth, weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout.


And this type of work activity is bandwidth intensive and poses challenges to enterprise remote workers. According to Aryaka Networks' 2021 State of the WAN report, enterprises ranked the biggest barriers to effective collaboration as follows:

■ Set up and management of underlying network infrastructure (42%)

■ Lag/Delay in communication (42%)

■ Poor voice or video quality (40%)

■ Frequently dropped calls (38%)

■ Only 13 percent of respondents said everything is perfect.

The State of the WAN report also identified the top existing WAN infrastructure challenges with the top ones being:

■ Complexity (37%)

■ Slow access (33%)

■ Slow performance (32%)

■ Deployment times (29%)

■ Security (28%)

■ Poor voice or video quality (23%)

■ High cost (20%)

■ Lack of visibility (20%)

Taking a Cloud-First Approach for Hybrid Workforce Simplicity

For enterprises to effectively manage the new realities of the hybrid workforce, they can either do it themselves through various hardware and software solutions, or they can take a managed service provider route. The do-it-yourself approach while maintaining application performance offer some levels of autonomy, it is arguably more complex, especially when you're talking about securely connecting people/branches on a global scale.

A managed approach, on the other hand, offers an "as-a-Service" consumption model that features more agility, lower TCO, fewer SLA headaches, and high application performance. Just be mindful of how the service provider integrates/stitches together all the key components, their effective global reach, and that they don't try to lock you in with their services contracts. Also, it helps to look for one-stop-shop service providers that offer their own technology.

If you've still not started planning for the future of your hybrid workforce, you might want to start now. When shopping for an enterprise WAN solution, make sure it is one that is flexible, with the ability to adjust bandwidth across sites as needed, support potential surges of remote/hybrid workers, and enables the rapid deployment of cloud-based or other SaaS-based solutions. Investing in a WAN solution that's geared for the hybrid workforce gives enterprises a safety blanket to weather whatever life throws your way.

Shashi Kiran is CMO at Aryaka Networks

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...