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With Amazon recruiting back some of the 30,000 people it let go and Gartner expecting 30% of workers replaced by AI to be rehired at higher cost, companies need to weigh what the next round of cuts will cost, from lost skills to damaged trust, before approving it
Atlassian has unveiled AMP to bring AI agents into everyday team workflows with shared context, visible ownership, and human oversight. Its Teamwork Graph, updated MCP server, and expanded OpenAI partnership aim to make AI work more connected, traceable, and secure.
Project-management vendors have years of task histories and decisions sitting in their systems; now they’re giving that information to AI agents. Now vendors entering the context graph fight have to prove they're handling permissions, accountability, and portability properly.
AI systems can remain online, meet performance targets and still give customers incomplete answers or fail to complete a task. Lokesh Vijay Kumar, AI Engineering Lead at GEICO, explains why IT teams need to track customer outcomes and trace incidents across every dependency
Over the past month, enterprise extended reality has produced revealing signals: a 1,000-location VR training rollout, Android management for XR headsets, remote rendering focused on resilience, and a medtech buyer considering a modular model for XR.
As AI lets attackers move faster and hit more targets, defenders still trade intelligence through PDFs, emails and proprietary formats, so the Dutch government's adoption of STIX 2.1 raises the question of whether governments should push open standards across the wider market?
Productivity AI is leaving the lonely chat window behind. Atlassian, Sanas and Ringover are betting that agents earn their place in enterprise workflows not by acting alone, but by making their work visible, supervised and accountable - with people still responsible for the calls that matter.
Unitree’s volatile IPO has fuelled questions about whether enthusiasm for humanoid robotics is outpacing commercial progress. Brendan Ahern of KraneShares explains what China’s momentum means for enterprise automation, and what must improve before robots can scale in the workplace.
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