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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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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...