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Great Expectations: Making "Hybrid Work" Work

After sitting on the cusp of hybrid work for more than a year, many companies are at a long-awaited inflection point: the lived experience of hybrid work.

One thing from the research is clear: We are not the same people who went home to work in early 2020. The past two years have left a lasting imprint, fundamentally changing how people define the role of work in their lives. The challenge ahead for every organization is to meet employees' great new expectations head on while balancing business outcomes in an unpredictable economy.


To help leaders navigate the shift, the 2022 Work Trend Index outlines five urgent trends from an external study of 31,000 people in 31 countries along with an analysis of trillions of productivity signals in Microsoft 365 and labor trends on LinkedIn:

Employees have a new "worth it" equation

53% of employees say they're more likely to prioritize their health and well-being over work than they were before the pandemic.

And the Great Reshuffle isn't over: 52% of Generation Z and millennials are likely to consider changing employers in the year ahead, up 3% year over year.

Managers feel wedged between leadership and employee

50% of leaders say their companies are planning a return to full-time in-person work in the year ahead.

54% of managers say leadership at their companies is out of touch with employee expectations, and 74% of managers say they don't have the influence or resources to drive change for their teams.

Leaders need to make the office worth the commute

38% of hybrid employees say their biggest challenge is knowing when and why to come into the office, yet only 28% of leaders have created team agreements to define these new norms.

Flexible work doesn't have to mean "always on"

After two years, weekly meeting time for the average Teams user is up 252%, and chats sent per person each week is up 32% — and still climbing. While workday span has increased by 46 minutes, after-hours and weekend work are up 28% and 14%, respectively.

Rebuilding social capital looks different in a hybrid world

With 51% of hybrid workers considering a shift to full remote work in the year ahead, companies cannot rely solely on the office to recoup the social capital we've lost over the past two years. 43% of leaders say relationship-building is the greatest challenge of having employees work in a hybrid or remote environment.

"There's no erasing the lived experience and lasting impact of the past two years, as flexibility and well-being have become non-negotiables for employees," said Jared Spataro, corporate vice president, Modern Work, Microsoft. "By embracing and adapting to these new expectations, organizations can set their people and their business up for long-term success."

Hot Topics

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 ...

Great Expectations: Making "Hybrid Work" Work

After sitting on the cusp of hybrid work for more than a year, many companies are at a long-awaited inflection point: the lived experience of hybrid work.

One thing from the research is clear: We are not the same people who went home to work in early 2020. The past two years have left a lasting imprint, fundamentally changing how people define the role of work in their lives. The challenge ahead for every organization is to meet employees' great new expectations head on while balancing business outcomes in an unpredictable economy.


To help leaders navigate the shift, the 2022 Work Trend Index outlines five urgent trends from an external study of 31,000 people in 31 countries along with an analysis of trillions of productivity signals in Microsoft 365 and labor trends on LinkedIn:

Employees have a new "worth it" equation

53% of employees say they're more likely to prioritize their health and well-being over work than they were before the pandemic.

And the Great Reshuffle isn't over: 52% of Generation Z and millennials are likely to consider changing employers in the year ahead, up 3% year over year.

Managers feel wedged between leadership and employee

50% of leaders say their companies are planning a return to full-time in-person work in the year ahead.

54% of managers say leadership at their companies is out of touch with employee expectations, and 74% of managers say they don't have the influence or resources to drive change for their teams.

Leaders need to make the office worth the commute

38% of hybrid employees say their biggest challenge is knowing when and why to come into the office, yet only 28% of leaders have created team agreements to define these new norms.

Flexible work doesn't have to mean "always on"

After two years, weekly meeting time for the average Teams user is up 252%, and chats sent per person each week is up 32% — and still climbing. While workday span has increased by 46 minutes, after-hours and weekend work are up 28% and 14%, respectively.

Rebuilding social capital looks different in a hybrid world

With 51% of hybrid workers considering a shift to full remote work in the year ahead, companies cannot rely solely on the office to recoup the social capital we've lost over the past two years. 43% of leaders say relationship-building is the greatest challenge of having employees work in a hybrid or remote environment.

"There's no erasing the lived experience and lasting impact of the past two years, as flexibility and well-being have become non-negotiables for employees," said Jared Spataro, corporate vice president, Modern Work, Microsoft. "By embracing and adapting to these new expectations, organizations can set their people and their business up for long-term success."

Hot Topics

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 ...