Every January, CES promises technology that will revolutionize how we work. Most years, though, those promises add complexity rather than removing it.
Many of 2026’s announcements are taking a different approach, targeting the productivity challenges ignored, or unknown by, most organizations.
From tech to automate meetings to workspace analytics that reveal what conference rooms actually cost, here’s what enterprise leaders need to know about unified communications, collaboration platforms, workforce analytics, and productivity infrastructure.
1. Stop Paying People to Take Meeting Notes
Many meetings end with someone spending 5-10 minutes summarising decisions and creating action items. With the average knowledge worker in up to 20 hours of weekly meetings according to Microsoft UK research, that’s hours per week spent on meeting administration instead of focusing on actual work.
Plaud’s updated NotePin S, announced at CES, is a $179 wearable that clips to your collar to capture in-person conversations, while its Desktop software runs in the background and auto-detects when Zoom, Teams, or Meet launches. Both feed into a single searchable system that the company says automatically extracts tasks, deadlines, and ownership without anyone touching a keyboard.
It also enables the capturing of context from hallway conversations that never makes it into project management tools, meaning a project manager can search “what did we decide about the Q2 launch timeline?” and get instant answers from both formal meetings and informal discussions.
What to measure: Hours saved per employee per week and whether those searchable archives actually get used or just create more data to ignore.
2. Find Out What Your Meeting Rooms Actually Cost
Organizations spend millions on office space based on executive preferences rather than data. HP’s Workforce Experience Platform combines three data sources—booking systems, IoT occupancy sensors, and device usage logs—to show what’s actually happening: meeting rooms get booked but stay empty 30-40% of the time, Tuesdays hit 53% office utilization (the new Monday), and Fridays remain ghost towns.
The platform also addresses a different productivity drain: out-of-band remote device access lets IT fix computers at the BIOS level, even when the operating system won’t boot. That eliminates the 2-3 hours employees lose when their laptop dies before a client call—multiplied across every device failure in your organization
What to measure: Cost of the platform vs. potential real estate savings. But do you have operational flexibility to actually reduce office space if data proves it’s underutilized, or will politics override evidence?
3. AI Tools That Work Anywhere
Healthcare, finance, and government organizations can’t send sensitive data to cloud AI services, while remote workers in spotty internet areas may not be able to access cloud tools at all.
The latest generation of AI PCs are the answer. Intel’s Core Ultra Series 3 delivers 50 TOPS (trillions of operations per second) with 1.9x better performance for running large language models locally. AMD’s Ryzen AI PRO 400 pushes that to 60 TOPS while adding enterprise-grade remote management for IT departments. Qualcomm’s Snapdragon X2 Plus hits 80 TOPS with multi-day battery life and optional 5G, targeting mobile workers who can’t always find outlets or Wi-Fi.
All three ship Q1 2026 from major laptop manufacturers, enabling on-device transcription, summarization, and task extraction that works anywhere—no cloud required and no latency.
What to measure: TCO comparison between cloud AI subscriptions and on-device hardware investments over 3-5 years. Can you measure productivity improvements rigorously enough to justify hardware refresh costs?
4. The Device-Switching Tax Nobody Tracks
Hybrid workers can lose 10-15 minutes daily disconnecting laptops, connecting desktops, reopening applications, and hunting for files, with one device switch per day equals tens of hours annually per employee.
HP’s OmniStudio X 27 all-in-one desktop uses Thunderbolt Share technology to eliminate this entirely: press a button and instantly control both your laptop and desktop with the same keyboard, mouse, and webcam. Files transfer in the background, and context-switching time drops to zero.
Read more: HP’s OmniStudio X Gets Desk-Facing Camera at CES 2026
What to measure: Time-to-task-completion before and after implementation, and whether recovered time goes to high-value work or just fills with more low-value activities.
5. AI Tools For All, Not Just The Selected Few
Microsoft 365 Copilot costs $30/user/month and Notion AI charges $10/user/month. At those prices, AI tools can stay limited to select employees instead of being deployed across the whole organization.
NVIDIA’s new Rubin platform changes the economics with claimed 10x lower inference costs. “Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof,” CEO Jensen Huang said during his CES keynote.
When AI gets cheaper, productivity tools can afford to run continuously in the background—automatically updating project dashboards from Slack conversations and extracting tasks from emails—without user intervention or premium pricing.
What to measure: Wait for vendors to actually pass cost savings to customers (not guaranteed), then pilot with metrics around decision quality, not just decision speed.
6. The Meeting Tech That Actually Works
A 10-minute delay for an eight person meeting equals 80 minutes lost. With 100 daily meetings averaging 5-minute tech delays, that’s 2,000+ hours wasted annually.
Zero-touch wireless display systems from vendors like Innex (AI-powered all-in-one conferencing with camera, microphone, and speaker) and EZCast (enterprise wireless display with cross-platform compatibility) eliminate this friction: walk into a meeting room, device auto-connects, and your meeting starts on time. No HDMI adapters or IT support calls. BYOM (bring your own meeting) support means employees use their preferred platform—Teams, Zoom, Webex—without IT configuring rooms for specific tools.
But does eliminating technical delays improve meeting outcomes, or just enable more meetings? Maybe reducing meeting dependency matters more than optimizing meeting technology.
What to measure: Time saved per meeting × meetings per day × employees equals recovered hours. But also track whether faster meetings translate to better decisions or just more decisions.
CES 2026 Announcements: What Actually Matters
The CES announcements address real productivity drains backed by research. But technology only matters if you can measure the intervention:
Quantify your baseline. How much time do employees spend on meeting documentation? What’s the cost of your context-switching patterns?
Measure the intervention. Pilot with specific metrics—hours saved per week, reduction in friction points, improvement in output quality.
Calculate true costs. Include implementation, training, change management, and ongoing subscriptions.
Check organizational readiness. Can you act on workspace data? Shift behaviors? Track improvements?
The technologies announced at CES 2026 address measurable problems. Whether they’re worth the investment depends entirely on your ability to measure the impact honestly and act on what you learn.
Related: CES 2026: 10 Collaboration Technologies Reshaping Enterprise Workplaces
