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Angi: Layoffs
Angi is cutting around 350 jobs in January 2026 to reduce operating expenses and optimize organizational structure. Savings of $70-80 million annually anticipated. Moves cited as related to AI-driven efficiency improvements.
Source: Business Insider
The leadership read
Workforce moves like this mark the contracting side of the sector hiring conditions.
Market context: Against a Talent Market Index of 111.2 (Hot) (up 5.2 month-on-month), EMEA is at easing (-4.4pts) on signal share.
Angi: 1 signal in the last 90 days; 0.1% of MitchelLake's EMEA signal flow.
From the MitchelLake archive
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Layoffs · EMEA
Starling Bank →Starling Bank is cutting approximately 130 jobs (out of 4,000+ employees) to simplify operations, reduce duplication, and accelerate product delivery. The restructuring affects banking and technology units. The cuts follow a 3% decline in pre-tax profits and a drop in revenues from £940m to £887m in the year ending 2025.
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Tala →Tala is cutting jobs in Kenya again, indicating a second round of workforce reductions
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Renault →Renault announced plans to cut 800 jobs in engineering operations in France, indicating a significant workforce reduction in core technical functions.
Layoffs · EMEA
British Council →British Council plans to cut approximately 25% of workforce (alongside closure of 11 country offices) to manage £197m pandemic-related debt. Already reduced headcount by 2,110 FTE since April 2021; further redundancies signalled as part of turnaround plan. Organisation not expected to return to profitability until 2029/30.
Layoffs · EMEA
Kyndryl →Kyndryl is conducting multi-country workforce rebalancing with a $200 million severance charge. In the UK alone, at least 100 employees expected to leave through voluntary redundancy with 4-month pay packages, with compulsory redundancies to follow if targets not met. Affects small percentage of 73,000-person workforce.
Layoffs · EMEA
GitLab →GitLab is cutting 14% of its workforce while exiting 22 countries, reducing management layers, and investing in infrastructure to scale for AI workloads
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