Gartner: Everyday AI and Digital Employee Experience Are 2 Years Away from Mainstream Adoption

Everyday AI and digital employee experience (DEX) are projected to reach mainstream adoption in less than two years according to the Gartner, Inc. Hype Cycle for Digital Workplace Applications, 2024.

"Everyday AI promises to remove digital friction, by helping employees write, research, collaborate and ideate," said Matt Cain, Distinguished VP Analyst at Gartner. "It is a core part of DEX, which is a concentrated effort to remove digital friction and improve workforce digital dexterity, which itself is one of the key factors that will drive organizational prosperity through 2030."

2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the Peak of Inflated Expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024.

"Everyday AI technology aims to help employees deliver work with speed, comprehensiveness and confidence," said Adam Preset, VP Analyst at Gartner. "It supports a new way of working, where intelligent software is acting as more of a collaborator than a tool. The digital workplace is now entering the era of everyday AI."

As technology vendors seek ways to improve productivity among workers that go beyond traditional application and feature enhancements, they can look towards everyday AI. This technology not only delivers productivity benefits, but also provides new marketable offerings such as tools to help workers find and synthesize relevant information, answer questions more comprehensively and produce work artifacts more easily.

"Everyday AI will become more sophisticated, moving from services that, for example, can sort and summarize chats and email messages to services that can write a report with minimal guidance," said Preset. "In many ways, everyday AI is the future of workforce productivity."

Increased Emphasis on Organizations to Have a DEX Strategy

Nearly all employees are becoming digital employees as they spend more time working with technology than ever before. Because of this, organizations must have a strategy to measure and improve DEX to attract and retain talent to improve employee engagement and maximize discretionary effort and intent-to-stay.

Business leaders are looking for guidance on how technology can help boost productivity and organizational alignment. DEX emphasizes best practices that boost digital dexterity, attract and retain talent, and help employees deliver against business outcomes.

DEX is in the Trough of Disillusionment on the Hype Cycle, meaning that interest is waning as experiments and implementations fail to deliver. To increase the appeal and relevance around DEX, business leaders should take a holistic approach across IT and non-IT partners to build a meaningful environment that empowers employees to adopt new ways of working.

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Gartner: Everyday AI and Digital Employee Experience Are 2 Years Away from Mainstream Adoption

Everyday AI and digital employee experience (DEX) are projected to reach mainstream adoption in less than two years according to the Gartner, Inc. Hype Cycle for Digital Workplace Applications, 2024.

"Everyday AI promises to remove digital friction, by helping employees write, research, collaborate and ideate," said Matt Cain, Distinguished VP Analyst at Gartner. "It is a core part of DEX, which is a concentrated effort to remove digital friction and improve workforce digital dexterity, which itself is one of the key factors that will drive organizational prosperity through 2030."

2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the Peak of Inflated Expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024.

"Everyday AI technology aims to help employees deliver work with speed, comprehensiveness and confidence," said Adam Preset, VP Analyst at Gartner. "It supports a new way of working, where intelligent software is acting as more of a collaborator than a tool. The digital workplace is now entering the era of everyday AI."

As technology vendors seek ways to improve productivity among workers that go beyond traditional application and feature enhancements, they can look towards everyday AI. This technology not only delivers productivity benefits, but also provides new marketable offerings such as tools to help workers find and synthesize relevant information, answer questions more comprehensively and produce work artifacts more easily.

"Everyday AI will become more sophisticated, moving from services that, for example, can sort and summarize chats and email messages to services that can write a report with minimal guidance," said Preset. "In many ways, everyday AI is the future of workforce productivity."

Increased Emphasis on Organizations to Have a DEX Strategy

Nearly all employees are becoming digital employees as they spend more time working with technology than ever before. Because of this, organizations must have a strategy to measure and improve DEX to attract and retain talent to improve employee engagement and maximize discretionary effort and intent-to-stay.

Business leaders are looking for guidance on how technology can help boost productivity and organizational alignment. DEX emphasizes best practices that boost digital dexterity, attract and retain talent, and help employees deliver against business outcomes.

DEX is in the Trough of Disillusionment on the Hype Cycle, meaning that interest is waning as experiments and implementations fail to deliver. To increase the appeal and relevance around DEX, business leaders should take a holistic approach across IT and non-IT partners to build a meaningful environment that empowers employees to adopt new ways of working.

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IT Leaders Must Establish a Network Data Architecture Practice

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

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The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

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Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

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Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...