Microchip Technology to lay off 2,000 employees-October 2024-www.financetom.com

Microchip Technology to lay off 2,000 employees

News World Market Environment Technology Personal Finance Politics Retail Business Economy Cryptocurrency Forex Stocks Market Commodities

Microchip Technology to lay off 2,000 employees

Mar 3, 2025 4:18 AM

March 3 (Reuters) - Chipmaker Microchip Technology

said on Monday it will cut its workforce by about 2,000

employees as it restructures its business.

(Reporting by Arsheeya Bajwa in Bengaluru; Editing by Devika

Syamnath)

Previous page： Google commits to responsible AI, takes action against deepfakes Next page： TikTok obtaining Indonesia e-commerce permit: State media

Comments

Welcome to financetom comments! Please keep conversations courteous and on-topic. To fosterproductive and respectful conversations, you may see comments from our Community Managers.

Show More Comments

Related Articles >

Google commits to responsible AI, takes action against deepfakes

Nov 29, 2023

Over two decades, Google said that it has employed machine learning and AI to enhance products, focusing on language translations, flood forecasts, and agricultural productivity in India.

TikTok obtaining Indonesia e-commerce permit: State media

Nov 29, 2023

TikTok, owned by China's ByteDance, has 125 million active monthly users in Indonesia, a country of more than 270 million people. It has been looking to translate the large user base into a major e-commerce revenue source.

Cabinet approves ₹1,261 crore drone scheme for women self-help groups

Nov 29, 2023

According to a press release, clusters economically viable for drone use will be identified, with 15,000 women SHGs in selected states receiving Central Financial Assistance covering 80% of drone costs, up to ₹8 lakh.

Meta joins hands with Indian institutes for AI-powered consumer law solutions

Nov 29, 2023

The initiative, conducted in collaboration with IIT Bombay and the Department of Consumer Affairs (DoCA), aims to assess the application of large language models (LLM) in enhancing the efficiency of India's consumer grievance redressal system.