Or even the significant disruption of human work leading to massive displacement and underemployment…
AUTOMATION
-

AI-Driven Workforce Displacement Accelerating Now Beyond AGI Timeline
By
–
This is so good. @clarashih thank you for brining rationale thought to a conversation being fueled by extremes. “Whether AGI arrives in 2030 or 2045, the workforce displacement happening right now is real, measurable, and accelerating”
-
AI in HR: Context Problem Over Tooling Problem
By
–
My takeaway: AI in HR is a context problem disguised as a tooling problem. You must teach the system how your organization thinks. Where is AI breaking down in your HR workflow? Comment “HR” & I’ll share how to use AI in HR effectively. #CorbeyPartner
-
AI Training Context Layers HR Decision Making Policy
By
–
The insight that stood out: HR decisions depend on layered context. Not just general rules, but priorities. For example: → National legislation sets the baseline
→ Company policy often overrides in practice
→ Edge cases change everything If your AI is not trained on this, -
HR AI Tool Strategy: Clarity Over Access
By
–
HR teams are navigating an overload of AI tools. The real problem is not access, it is clarity. Most teams don’t define: → What problems AI should solve
→ What it should not touch
→ How decisions are actually made internally Without that, even the best tools underperform. -

Why HR AI Projects Fail: The Missing Company Context
By
–
Most HR AI projects don’t fail because the tech is weak.
— Ronald van Loon (@Ronald_vanLoon) 29 avril 2026
They fail because the AI has no idea how your company actually works.
That is the missing link.
I spoke with Anna Fedosova, co-founder of Corbey, about why this keeps happening.
Here’s the breakdown… pic.twitter.com/v9yVZzfV3PMost HR AI projects don’t fail because the tech is weak. They fail because the AI has no idea how your company actually works. That is the missing link. I spoke with Anna Fedosova, co-founder of Corbey, about why this keeps happening. Here’s the breakdown…
-
Cursor SDK Enables AI Agents for Automated Code Development
By
–
Customers like Rippling, Notion, C3 AI, and Faire are using the Cursor SDK to build custom background agents, take bugs from ticket to merge-ready PR, and maintain self-healing codebases. Learn more:
-
Cursor SDK Enables Building AI Agents for Workflows
By
–
We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor.
— Cursor (@cursor_ai) 29 avril 2026
Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products. pic.twitter.com/bRcn9xjuVzWe’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.
-

AI Amplifies Sloppy Communication at Scale
By
–
Too many comms pros were "sloppy" before AI, but now they're sloppy at scale.