SoftBank Vision Fund Cuts 20% of Workforce to Focus on AI

Sep 23, 2025
SoftBank Vision Fund is laying off 20% of its staff as it shifts focus to AI investments, according to Reuters. The move aligns with CEO Masayoshi Son's strategy to prioritize AI projects.

SoftBank Group Corp. is set to lay off nearly 20% of its Vision Fund employees globally as it reallocates resources towards AI investments, according to Reuters. This marks the third round of layoffs since 2022 for the fund, which currently employs over 300 people worldwide.

The decision aligns with CEO Masayoshi Son's strategy to focus on high-risk, high-reward AI projects. Recent investments include $9.7 billion in OpenAI, as well as significant stakes in chipmakers and tech companies like Intel and Nvidia. These moves are part of a broader effort to build AI infrastructure, including chips, data centers, and models.

The layoffs reflect a strategic pivot as SoftBank aims to excel in the competitive AI landscape. The Vision Fund's workforce has already shrunk by 40% from its peak in 2020, highlighting its reduced role as the company intensifies its AI focus.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.