
Orgvue
UK workforce analytics platform whose survey exposed widespread AI layoff regret.
Last refreshed: 9 July 2026 · Appears in 1 active topic
Is AI-driven downsizing costing firms more than the headcount they saved?
Timeline for Orgvue
Found 55% of AI-redundancy leaders now regret the decision
AI: Jobs, Power & Money: Ford and IBM start undoing AI cutsMentioned in: MIT economist: AI layoffs are a cover story
AI: Jobs, Power & MoneyMentioned in: Cloudflare cuts 1,100 on record revenue, cites AI surge
AI: Jobs, Power & MoneyMentioned in: Upwork kills 25% of staff, declares team model dead
AI: Jobs, Power & MoneyMentioned in: CFOs see AI job cuts nine times higher
AI: Jobs, Power & MoneyWhat is Orgvue?
What did the Orgvue survey find about AI layoffs?
How does Orgvue compare to Gartner on AI layoff regret?
Background
Orgvue is a UK-based organisational design and workforce analytics platform, founded in 2009 and headquartered in London. The company provides software that helps large enterprises model, plan and restructure their workforces, competing in the people-analytics space alongside vendors such as Workday and SAP.
Its clients span finance, professional services and technology sectors across Europe and North America. Orgvue's public visibility rests chiefly on its own workforce-analytics research rather than its product line, most notably its 2026 survey work on AI-driven layoff regret.
Orgvue's survey of 300 HR managers put the first hard number on AI-layoff regret: 39% of leaders had made AI-driven redundancies, and 55% of those now judge the decision wrong; a third had already rehired 25-50% of the roles they cut, and one in three employers spent more on restaffing than they saved. Forrester independently confirmed the regret figure, predicting half the cuts will be quietly reversed, often offshore or at lower pay.
The survey landed as broader evidence of AI-layoff miscalculation accumulated: Gartner forecast half of companies cutting customer-service staff for AI would rehire by 2027, and Klarna publicly reversed its own AI customer-service experiment after sharp satisfaction declines.
By July, that survey signal became payroll action. Ford started rehiring engineers for quality-control work its automated systems could not handle, and IBM said it would triple US entry-level hiring in 2026 after its AI human-resources system failed the hardest 6% of requests, with Robert Half separately finding 32% of hiring managers had rehired an AI-eliminated role. Orgvue's survey is now the reference dataset for a documented over-cut-then-rehire pattern, giving enterprises a quantified cost of moving too fast on AI-driven restructuring.