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The Employee Experience is About to Break

In response to the global pandemic, companies have given their workforce the tools they need to work remote. And research shows it has increased their engagement and productivity. But these gains are on the brink of being wiped out. According to a new study from Citrix Systems, Inc., employees feel they've been given too many tools and not enough efficient ways to execute. And it's hindering their ability to get things done.

"People are working the same or more hours, but they're accomplishing less because technology is getting in their way," said Tim Minahan, EVP of Business Strategy, Citrix. "As companies organize around new, hybrid work models, they need to rethink the role of technology and how they apply it across their organizations so that employees, rather than being frustrated, are empowered to succeed."

To help them do this, Citrix conducted the Work Your Way survey of  1,000 IT decision makers and 2,000 workers across the United States conducted by OnePoll, that revealed a few significant trends:

App Sprawl is Out of Control

The number of tools employees are required to use to do their jobs has significantly increased, as has the complexity they are creating in the workplace. For example:

■ 64% of workers are using more communication and collaboration tools than they were prior to the pandemic

■ 71% say they have made work more complex

"Employees are frustrated, and to keep them engaged and performing at their best, companies need to eliminate the friction and noise from work and deliver technology that adapts to their workstyles rather than forcing them to learn new ways of doing things," Minahan said.

A New Digital Divide is Emerging

But workstyles have fundamentally changed. "People are not going back to working the way they did," Minahan said.

The survey confirms this. Nearly 90% of respondents to the survey say they want the flexibility to continue to work at home and in the office post pandemic.

"Regardless of their physical location, employees need to be empowered with tools that provide a consistent, secure and reliable experience and allow them to work the way they work best," Minahan said.

Digital Workspaces Are the Future of Work

Savvy organizations recognize this and see digital workspaces as a way to deliver it. With digital workspaces, companies can:

■ Unify work – Whether at home, on plane or in an office, employees have consistent and reliable access to all the resources they need to be productive across any work channel, device or location.

■ Secure work – Contextual access and app security ensure applications and information remain secure—no matter where work happens.

■ Simplify work – Intelligence capabilities like machine learning, virtual assistants and simplified workflows personalize, guide, and automate the work experience so employees can work free from noise and perform at their best.

Almost 90% of survey participants say their companies use digital workspace software platforms to facilitate hybrid/distributed working. And they are delivering results.

■ 72% of employees say they have improved productivity

■ 77% indicate they have aided collaboration

"In creating a layer between employees and the technology that frustrates them, companies can empower them to efficiently engage with the apps they need to execute work and achieve their goals," Minahan said.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

The Employee Experience is About to Break

In response to the global pandemic, companies have given their workforce the tools they need to work remote. And research shows it has increased their engagement and productivity. But these gains are on the brink of being wiped out. According to a new study from Citrix Systems, Inc., employees feel they've been given too many tools and not enough efficient ways to execute. And it's hindering their ability to get things done.

"People are working the same or more hours, but they're accomplishing less because technology is getting in their way," said Tim Minahan, EVP of Business Strategy, Citrix. "As companies organize around new, hybrid work models, they need to rethink the role of technology and how they apply it across their organizations so that employees, rather than being frustrated, are empowered to succeed."

To help them do this, Citrix conducted the Work Your Way survey of  1,000 IT decision makers and 2,000 workers across the United States conducted by OnePoll, that revealed a few significant trends:

App Sprawl is Out of Control

The number of tools employees are required to use to do their jobs has significantly increased, as has the complexity they are creating in the workplace. For example:

■ 64% of workers are using more communication and collaboration tools than they were prior to the pandemic

■ 71% say they have made work more complex

"Employees are frustrated, and to keep them engaged and performing at their best, companies need to eliminate the friction and noise from work and deliver technology that adapts to their workstyles rather than forcing them to learn new ways of doing things," Minahan said.

A New Digital Divide is Emerging

But workstyles have fundamentally changed. "People are not going back to working the way they did," Minahan said.

The survey confirms this. Nearly 90% of respondents to the survey say they want the flexibility to continue to work at home and in the office post pandemic.

"Regardless of their physical location, employees need to be empowered with tools that provide a consistent, secure and reliable experience and allow them to work the way they work best," Minahan said.

Digital Workspaces Are the Future of Work

Savvy organizations recognize this and see digital workspaces as a way to deliver it. With digital workspaces, companies can:

■ Unify work – Whether at home, on plane or in an office, employees have consistent and reliable access to all the resources they need to be productive across any work channel, device or location.

■ Secure work – Contextual access and app security ensure applications and information remain secure—no matter where work happens.

■ Simplify work – Intelligence capabilities like machine learning, virtual assistants and simplified workflows personalize, guide, and automate the work experience so employees can work free from noise and perform at their best.

Almost 90% of survey participants say their companies use digital workspace software platforms to facilitate hybrid/distributed working. And they are delivering results.

■ 72% of employees say they have improved productivity

■ 77% indicate they have aided collaboration

"In creating a layer between employees and the technology that frustrates them, companies can empower them to efficiently engage with the apps they need to execute work and achieve their goals," Minahan said.

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...