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Twitter founder Jack Dorsey is running into some serious problems during an overhaul of his financial services company block.
Earlier this month, the company began laying off employees as part of its next steps. bloomberg This has been characterized as an “efficiency drive” and can impact up to 10 percent of a company’s workforce.
Sources say it was a painful and protracted process that could last for weeks. wiredcausing great anxiety about job security.
“We don’t know yet whether our lives will be affected or not, so it’s very difficult to make important life choices without knowing if we’ll have work next week,” employees said at a recent all-hands meeting. wired.
Another employee wrote, “I feel like morale is probably the worst it’s been in 4 years.” “Brock’s inclusive culture is disintegrating.”
These comments highlight the deep-seated concerns many workers feel as executives continue to cite generative AI as they drive layoffs.
AI was clearly a top priority for Dorsey. Block staff are required to use AI, an order that has led to dissatisfaction.
“It’s crazy to mandate the use of large language models from the top down,” said one employee. wired. “If the tool was good, we would all use it.”
It also requires weekly email updates to be sent to Elon Musk, mirroring DOGE’s requirement for federal employees to summarize their accomplishments via email five times a week. (This requirement was largely ignored in the months before DOGE’s major collapse.)
Dorsey then reportedly used generative AI to summarize staff emails. During an all-hands meeting, he said “performance anxiety” and “widespread concerns about redundancies” were clearly plaguing staff.
Mr. Dorsey seemed to have done little to address these concerns, accusing the fired staff of “calling them in.” Arnaud Weber, Brock’s head of engineering, also said the layoffs were performance-related.
The company’s woes are symptomatic of a familiar story playing out at many other technology companies. Workers face immense pressure as employers embrace AI at all costs and are forced to adopt AI technologies whether they like it or not.
Researchers found that this technology did not reduce workloads at all, but rather intensified them. This is a worrying trend that is already leading to “AI burnout.”
Experts are also concerned about the psychological impact. Researchers recently found that the continuing threat of being made redundant due to AI automation manifests itself in symptoms such as anxiety, insomnia, paranoia, and loss of identity among workers.
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