Elon Musk, who took over Twitter after a $44 billion takeover in October last year, has confirmed that the company's workforce has been reduced by over 80%.
In an interview with BBC on Twitter Spaces, Musk stated that out of the approximately 8,000 Twitter employees at the time of the acquisition, only around 1,500 remain employed with the company.
When asked about the process of firing that many people, Musk admitted that it was "not fun at all" and that it could be a "painful" experience. He also revealed that he did not personally fire everyone, as it was not feasible to talk with thousands of people face-to-face.
This significant reduction in the Twitter workforce follows multiple rounds of layoffs carried out by Musk since taking over the company. While the move is seen as controversial by some, it remains to be seen how it will impact the future of the social media platform under Musk's leadership.
The reduction in the workforce at Twitter under Elon Musk's leadership may have both positive and negative effects on the platform in the long run, especially as AI becomes increasingly central to social media.
On the one hand, a leaner workforce could potentially lead to greater efficiency and faster decision-making, especially if AI technologies are implemented to automate certain tasks. This could help Twitter to keep up with other social media platforms that are already making use of AI to optimize their services.
On the other hand, the reduction in human resources could lead to a lack of diversity and expertise, which could limit the platform's ability to innovate and respond to new challenges. This is especially true in the realm of AI, where a range of specialized skills and perspectives are necessary to develop and implement effective solutions.
Overall, it remains to be seen how the reduction in Twitter's workforce will play out in the long run, especially as AI continues to play an increasingly important role in social media. It will be important for the company to strike a balance between efficiency and expertise, and to stay abreast of new developments in AI as they emerge.
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