We have already published a more grounded forecast for 2026 – offering CIOs and IT leaders a clear-eyed view of what’s likely to happen in Unified Communications: from hybrid cloud stability and interoperability to AI governance and voice re-emerging as a strategic channel.
That was the realistic view. This post looks elsewhere.
It focuses on ambitious UC predictions for 2026 that may not reach the mainstream yet but will be trialled by innovation leaders and early adopters – usually with big budgets and a tolerance for risk.
This is our Grinch list. Not predictions for the mainstream, but early signals worth watching if you want to understand what could define the next phase of enterprise communications.
1. Private LLMs and SLMs for Secure UC
Already in play for early adopters, 2026 will see many more enterprises deploying private, fine-tuned large language models (LLMs) within their UC (and Contact Centre) stacks. Most will not build these from scratch but will consume regulated, sovereign-hosted models. These out-of-the-box models are getting better, more affordable and easier to integrate.
This is particularly attractive in privacy-conscious industries, and regions like DACH.
Alongside private LLMs, 2026 should see significant adoption of Small Language Models (SLMs) which are easier to fine-tune with smaller, heavily curated datasets. They offer ultra-low latency, predictable operating costs, and simpler governance.
SLMs are ideal for real-time, on-device tasks like meeting insights and contextual automation; with LLMs reserved for heavier reasoning, policy insights and knowledge orchestration across the wider collaboration ecosystem.
Reality Check: Enterprises will initially adopt hosted or partner-finetuned models rather than train their own. Data architecture and maturity governance remain barriers. Increasingly these will be combined with lightweight SLMs for cost-efficient, low-latency workloads.
2. Agentic AI: Bots That Collaborate with Bots
Autonomous agents that perform tasks and communicate with other bots represent the next frontier of enterprise AI and automation. “Bot productivity on Steroids” as one my colleagues put it! And all without the need for human intervention – in theory.
“AI Orchestration” will the 2026 buzz phrase, referring to the coordinated management of multiple AI models, tools, or agents so they work together reliably, efficiently, and in the right sequence.
Developer tools like LangChain and OpenAgents now make it easier to build AI assistants that collaborate with each other. However, enterprise-grade multi-agent ecosystems, capable of handling live UC workflows with full reliability and compliance, are still emerging.
Contact centre (CC) platforms are moving faster than UC, as their workflows are already modular and automation-ready, with clearer ROI potential – expect Genesys and NICE to lead the way.
Several UC vendors are starting to adopt the principles behind multi-agent AI, with Microsoft, Cisco, and Zoom moving fastest. They are breaking AI into smaller, specialised components that can collaborate behind the scenes. Where CC will test autonomous agent workflows, UC will experiment with multi-agent meeting orchestration: one agent captures actions, another identifies decisions, another checks alignment against policies or previous discussions
Reality Check: This is an R&D space in 2026. Expect tightly scoped use cases, not full-scale adoption. Governance and auditability are key blockers in UC.
3. Motionally Aware AI in CX and Meetings
Imagine your AI could detect stress, frustration, and other signals in real-time from voice and video input. This could help de-escalate a problem or better yet, capitalise on buying signals.
CC vendors are leading the way with behaviour analytics, for coaching and quality automation. Early success in CX matters for UC when emotionally aware models migrate into meetings, calls, and team collaboration tools in 2026.
In UC, (particularly focused on internal users) ethical oversight and fairness must be built-in
Emotionally aware AI will show up differently across sectors: in UC it will support leadership, wellbeing, collaboration quality, and internal decision-making.
Healthcare providers are already testing real-time emotion detection for mental health cases and to prompt clinical support.
Multinationals are testing tone shifts across global hybrid meetings, with language and cultural pilots too.
Reality Check: In UC these will be used for augmentation, not decision making. Models require cultural sensitivity and human-in-the-loop safeguards.
4. Edge-Native UC: Low-Latency AI at the Endpoint
This is an interesting topic, and in our view, this could go either way in 2026!
As AI capabilities inside UC platforms grow, some organisations are exploring whether certain tasks should run locally at the edge rather than in a public cloud. Edge computing will power low-latency AI applications in UC, from real-time transcription to secure, localised inference.
Many vendors are already embedding neural processing units (NPUs) into UC endpoints for transcription, personal meeting insights, and even live voice translation is being tested.
While unlikely to be a mainstream trend it will certainly appear in sectors including defense, manufacturing, and healthcare, where data residency or bandwidth limits drives innovation.
Reality Check: Mainstream UCaaS platforms will not shift to edge in 2026. Edge-native UC will emerge in private, custom UC stacks only.
Counter view: Edge-native UC could progress faster if device-level AI accelerates, coupled with regulatory pressure increasing. Pushing vendors to offer local inference options to differentiate.
🎄 UC Grinch Watch: Predictions with Longer Adoption Curves
Some predictions come around every year like Christmas sweaters – bright, bold, and not always fit for the office. Here’s our look at a couple of hot topics with UC analysts that may need another year (or five) before they go mainstream.
1. Quantum-Resilient UC
As quantum computing progresses, the post quantum cryptography (PQC) concern is valid: adversaries harvesting encrypted data today could decrypt it in 5-10 years with quantum tools.
For UC, this matters most for stored recordings and transcripts (10-year compliance windows). Transport encryption, the encryption of data while it’s actively moving between endpoints is lower risk by comparison.
The good news is vendors are moving faster than expected. Zoom shipped post-quantum E2EE in 2024 and Microsoft and Cisco have PQC roadmaps with 2026-2027 pilots.
The real driver? DORA now mandates annual quantum risk assessments, and the EU’s 2030 deadline for critical infrastructure is enforceable.
Early adopters (pharma, defence, regulated finance) will pilot PQC storage encryption in 2026.
But for most enterprises, zero-trust identity and device posture remain more urgent than quantum. For many, it’s ‘why worry’ about something that hasn’t been invented yet.
That said organisations storing sensitive data for regulatory compliance can’t wait too long to assess their encryption strategy against the 2030 EU deadline. So, this may drive innovation.
🎄 Grinch Watch: Quantum threats to data transport are overstated for UC and mainstream UC will not be affected for some years. But future quantum threats to stored recordings are real and under-discussed.
2. Immersive and Ambient Collaboration Spaces
AR/VR may no longer be just for training. In 2026, many analysts and tech companies expect pilots of immersive collaboration spaces with persistent virtual rooms, digital twins or physical workplaces, and headset-enabled “presence” for distributed teams.
Our view? These use-cases will be strongest in sector-specific contexts such as manufacturing, energy, and defence but frankly won’t be reaching general office environments.
In UC, immersive collaboration will remain a niche augmentation layer for design reviews, incident response rooms, or digital twin. Not replacing everyday meetings.
For every useful virtual building management collab tool, we see cutting edge, but wildly expensive VR, all the way down to gimmicky avatars and cat faces.
🎄 Grinch Watch: Cool demos, but VR meetings are still not enterprise ready.
And we haven’t even touched on next-level ambitious predictions like:
- Virtual holographic meetings will replace mainstream enterprise meetings.
- Email will be “replaced” by real-time messaging plus AI summarisation.
- Cross-platform avatars and digital identities will become standard
- AI-driven compliance engines will monitor every call and message all the time.
- Data Centres moving to space
If you’d like a neutral ear to discuss more the practical, the ambitious and the downright wild predictions in the market, let’s have the conversation.