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Gartner DWS 2026: The New Digital Workplace: Where AI, Trust, and Employee Experience Converge

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Jaclyn Martinez

TL;DR

At Gartner Digital Workplace Summit 2026, the message was clear: AI adoption is struggling as a people problem, not a technology one. Nearly 70% of organizations report having an AI strategy, but employees are not bought in. At the same time, AI is reshaping roles, introducing risks like skill atrophy, and driving a $58B disruption of the productivity landscape. Digital workplace success now depends far less on tools, which drive only 10–15% of impact, and far more on experience, trust, and leadership.

Gartner Digital Workplace Summit 2026 made one thing clear: the conversation around AI has shifted.

The question is no longer whether AI works. (It does.) The real question is whether organizations are ready to lead through what it changes.

Across sessions, the focus moved away from tools and toward people, trust, and leadership. Digital workplace and DEX leaders are no longer just enabling technology. They are shaping how AI is understood, adopted, and embedded into everyday work.

Adoption is stalling not because the tools are falling short, but because employees are not fully bought in. While roughly 70% of organizations say they have an AI strategy, many lack the trust, communication, and clarity needed to drive real traction. At the same time, AI is reshaping work, challenging productivity models, and introducing new risks around skills, governance, and scale.

AI-driven digital workplace illustrating the importance of employee adoption, trust, and leadership in successful AI strategies

Here are the top 10 takeaways:

1. AI Is a Leadership Challenge, Not a Technology One

AI capability is no longer the question. The real challenge is how organizations lead through the change it creates. Success now depends on leadership’s ability to guide adoption, shape perception, and align the workforce around new ways of working.

2. AI Adoption Is Stalling on Trust

Many organizations have AI strategies, but adoption is lagging because employees don’t fully trust or understand how AI is being used. This is less about tools and more about communication, transparency, and intent. Trust is quickly becoming the gating factor for scale.

3. Digital Workplace Leaders Are Becoming AI Leaders

Digital workplace and DEX leaders are stepping into a much bigger role. They’re no longer just delivering technology; they’re responsible for driving AI adoption, influencing behavior, and connecting strategy to employee experience. That shift is redefining the function.

4. AI Will Reshape Jobs

AI isn’t removing work, but it is fundamentally reshaping it. That distinction directly impacts employee engagement, willingness to adopt, and overall outcomes.

5. Blocking AI Is Increasing Risk

Attempts to restrict AI are creating unintended consequences. Employees are using AI tools anyway, often outside approved environments, leading to “shadow AI” and reduced visibility. The shift is toward enabling safe use with guardrails and governance rather than trying to prevent it altogether.

6. AI Introduces New Risks to Skills and Thinking

As AI becomes embedded in daily workflows, there’s growing concern about skill erosion and over-reliance on automation. Organizations are beginning to recognize the need for intentional skill development and even AI-free validation. Efficiency gains mean little if core capabilities decline.

7. AI Is Disrupting the Productivity Model

The traditional, document-centric model of work is being challenged for the first time in decades. AI is introducing a new interaction layer that changes how work gets done across systems. This shifts the focus from how quickly tools are deployed to how effectively they’re used and integrated.

8. Employee Experience Drives Outcomes, Not Tools

Tools only account for a small portion of digital workplace success—roughly 10–15%. The majority is driven by operating model, alignment, and how work actually feels for employees. Organizations that prioritize experience are seeing significantly better outcomes.

9. Digital Workplace Maturity Has a Blind Spot

A surprising number of organizations still lack a clear understanding of employee needs and expectations. That disconnect creates a ceiling on maturity and limits the impact of even well-funded initiatives. Without grounding strategy in real experience, progress stalls.

Curious where your organization’s maturity sits? Take the workplace maturity survey from Gartner.

Take Survey

10. The Future Is an Orchestrated, Governed Ecosystem

The digital workplace is evolving beyond individual tools into interconnected ecosystems that combine AI, automation, and experience. This introduces new complexity, especially around governance and autonomous systems. Success will depend on how well organizations orchestrate these elements into a cohesive, human-centered environment.

Final Takeaway

The future of work isn’t about more AI tools. It’s about making them actually work together in a way that helps people and enables the workforce. Organizations that succeed will be the ones that build trust, listen to what employees need, and create an environment where AI supports how work really gets done, not complicate it.

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about the author

Jaclyn Martinez

description

Jaclyn Martinez is a full-stack marketing professional with more than a decade of experience across product, digital, brand, and content marketing in B2B, SMB, and enterprise environments. She specializes in go-to-market strategy, messaging, and cross-functional execution, combining technical expertise with customer insight to drive measurable growth. Jaclyn is passionate about turning complex ideas into scalable, impactful marketing programs that connect with audiences and deliver results.

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Why is AI adoption slow despite heavy investment?

The main barriers are trust, communication, and lack of clarity around how AI impacts employees.

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Should companies restrict AI usage?

Restrictions tend to increase risk by driving usage underground, creating shadow IT. A better approach is governed enablement.

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What is shadow AI?

It refers to employees using AI tools outside approved systems, often without oversight.

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How should organizations think about digital workplace maturity?

Maturity depends on understanding workforce needs, aligning teams, and designing for experience, not just deploying tools. To understand where your organizations digital workplace maturity is, take the workplace maturity assessment from Gartner, available here: https://surveys.gartner.com/s/DigitalWorkplaceMaturity?