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Meeting-room hardware is back on the procurement agenda as organisations replace ageing systems, but higher component costs and supply constraints remain. This week, Logitech reported stronger video collaboration sales, Google expanded Beam, and the AI PC debate continued
Always-on personal AI agents that run routines and work inside your apps are moving from consumer curiosity to enterprise reality. Here is what that means for employees, managers and leaders, and why the four-day work week now looks far more realistic.
Logitech and Barco’s October figures should tell us how much of the meeting-room recovery is actually happening. Meanwhile, Microsoft and Google are finding new ways to collect workplace data. Buyers have a decision to make: will AI help them get more from the offices they’ve already paid for?
Google DeepMind’s latest generative world model promises to make virtual environments feel less like fixed digital sets and more like dynamic places that can be explored, altered, and populated in real time, though true enterprise use remains some distance away
Microsoft grew Q1 revenue 19% to $92.3 billion but gave no update on its paid Copilot seat count, leading with usage instead. As it pushes E7 and leans harder on usage-based billing for AI, IT buyers face harder-to-forecast spend and fresh leverage at renewal.
Anthropic’s S-1 shows strong enterprise demand for agentic AI, with $16.3 billion in first-half revenue. Yet vast compute commitments and rising infrastructure costs leave a defining question: can growth keep pace with the capacity needed to power Claude?
AI can create more valuable work, but it could also widen the gap between employees who can access new tools and those left behind. At Unleash Paris, PwC Global Workforce Leader Peter Brown outlined how leaders can redesign work, build skills, and bring every employee into the transition.
monday.com wants AI agents involved in more of the work between a project request coming in and the result going out. Elevate 2026 should give project leaders a better idea of what’s possible. Can the agents spot a deadline that’s slipping, work out who’s available, and handle the next handoff?
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