1. Digital workplace leaders can't be as strategic as they need to be
The Day 2 keynote opened with a challenge: IT leaders are still too caught in the operational weeds to play the strategic role the moment demands. The north star leader looks both inward and outward — optimizing what exists while maximising what's possible.
The gap between those two modes is where most organizations are stuck right now.
2. Trust is the bridge between AI potential and AI impact
Craig Roth's session was a standout. His argument: we're deploying AI so fast there's no time to test and learn, and that speed deficit is a trust deficit. The fix isn't slowing down. It's building trust deliberately: top-down leadership commitment paired with bottom-up testimonials from real users.
Pilots (see no.5), and localized trials let AI seep into work rather than forcing a big bang rollout. Measure trust at checkpoints, not just outcomes. Good platforms enable businesses to scale as trust grows.
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3. Customization will soon be standard
One of the sharpest signals from Day 2: the era of one-size-fits-all is ending fast. By 2030, 40% of enterprise apps will be custom-built — up from just 2% today.
But this goes beyond apps. The expectation is shifting at every layer: personalized end-user experiences that reflect role, location and context; custom agents built for specific workflows rather than generic assistants; and localized models trained on the data, language and nuance that actually matters to your organization.
4. More models, more agents, more platforms — and worse experiences
Enterprises must unify agents, LLMs, apps, and more to stop increasing customization resulting in fragmentation for employees.
A theme that came through loudly from conversations on the floor: the proliferation of AI tools — from the likes of Microsoft, ServiceNow and beyond — is actively hurting the user experience. Everyone the Unily team spoke to agreed that experience is now the top priority.
5. Now is the moment to pilot platforms
The clearest tactical signal from Day 2: trust is low, potential is high — which makes this the perfect conditions for piloting platforms with smaller user groups. Not just individual tools or use cases, but the platforms that will underpin your digital workplace at scale.
Prove it works, build the evidence, then roll it out. The platform that earns trust in the pilot is the one that earns the right to grow. This is how you turn potential into impact.
The real takeaway from DWS 2026
Two days. Hundreds of sessions. One through-line: the human side of AI is now the hard part. The technology is ready. The governance frameworks are forming. What's lagging is trust — and trust is built through communication, consistency, and giving people the chance to experience AI as something that works for them.
The energy in the room across both days reflected that. Attendees were engaged, buzzing, and hungry for practical answers — not just analyst predictions. The conversations happening in the hallways were as valuable as the sessions themselves. And the consensus was clear: experience is the differentiator.
More than any previous year, Gartner DWS centered the conversation on how humans work, adapt, trust and grow - not just on the tools being built around them.
It makes sense as the AI‑native workplace won’t be won by technology alone. It will be won by organizations that lead with humans first.
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Charlie has spent 8 years helping large enterprises to improve both customer and employee experiences. As Product Marketing Manager at Unily, Charlie plays an instrumental role in keeping Unily's capabilities and product vision aligned to the needs and aspirations of employee experience leaders. Charlie covers Unily's Frameworks & Extensibility, and EX Insights product pillars and is a critical contributor to thought leadership content and a regular speaker at industry events.