Zuckerberg lays off 3600 Meta workers in 'low performance' culling spree as former employees blast AI priorities and 'masculine energy'

2 hours ago 1

By BRITTANY CHAIN FOR DAILYMAIL.COM

Published: 00:08 EST, 12 February 2025 | Updated: 00:10 EST, 12 February 2025

Mark Zuckerberg has laid disconnected 3,600 unit astatine Meta successful a daze culling spree designed to people 'low performing' staff.

But impacted employees are coming guardant to situation the cognition that Zuckerberg simply wanted to chopped the dormant weight, insisting that is nary much than a 'corporate facade.'

'This wasn't astir performance; it was astir workforce simplification successful favour of AI initiatives,' erstwhile Meta contented manager Kaila Curry said.

'Maybe I ''lacked masculine energy'' (to punctuation Mark Zuckerberg himself). Who knows?'

Curry said she received an 'exceeds expectations' effect successful her astir caller mid-year review, and often asked for feedback astir her performance.

'I was ever told I was doing a bully job,' she said.

'I was ne'er placed connected a PIP, ne'er fixed corrective feedback, and ne'er decently mentored oregon provided wide expectations. I simply enactment successful the enactment - often connected weekends - portion being isolated successful an bare office.'

In mid-January, Zuckerberg announced plans to 'raise the barroom connected show absorption and determination retired debased performers faster.'

Mark Zuckerberg has laid disconnected 3,600 unit astatine Meta successful a daze culling spree designed to people 'low performing' staff

Meta has focused connected hiring machine-learning engineers this twelvemonth arsenic it continues to make and physique AI features

In all, helium hoped to hitch retired astir 5 per cent of his workforce. 

'We typically negociate retired radical who aren't gathering expectations implicit the people of a year,' helium said successful an interior memo seen by Bloomberg. 

'But present we're going to bash much extended performance-based cuts during this cycle.' 

In a akin vein to Curry's experience, Meta merchandise decorator Steven S. shared his ain acquisition of being fto spell successful the cuts connected LinkedIn.

'I was fto spell contiguous - but not due to the fact that I was a 'Low Performer',' helium said.

'This morning, I recovered retired I was portion of Meta's latest circular of layoffs - 1 of the 5% of employees impacted crossed the company. 

'If you've seen the headlines, you've astir apt besides seen however enactment is framing this: a determination to 'raise the bar' by cutting alleged 'low performers.'

'Let's beryllium clear: that statement is misleading, and for galore of us, it's flat-out wrong.'

'This wasn't astir performance; it was astir workforce simplification successful favour of AI initiatives,' erstwhile Meta contented manager Kaila Curry said

Meta merchandise decorator Steven S. shared his ain acquisition of being fto spell successful the cuts connected LinkedIn

Curry, who was employed astatine Meta for 1 year, said she managed play contented operations from the hub successful San Francisco, aft initially applying for the relation based successful New York.

'I primitively applied for a New York-based role, lone to beryllium fixed a last-minute ultimatum: relocate to San Francisco oregon suffer the opportunity,' she said.

'Since the determination was covered, I took the chance. When I arrived, I learned I was the lone idiosyncratic connected my squad required to beryllium successful the office.'

She alleged that during her 1 twelvemonth astatine the company, she had 5 managers and 2 'reorgs' - successful what she described arsenic a 'whirlwind' successful which she was 'not acceptable up for success.' 

'Perhaps I became excessively vocal erstwhile our displacement to young big (YA) contented progressive removing safeguards that protected LGBTQ+ users.

'I spoke up due to the fact that I didn't privation to lend to a level that could summation termination rates among LGBTQ+ youth.'

Meta has focused connected hiring machine-learning engineers this twelvemonth arsenic it continues to make and physique AI features.

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