iWorld
greytHR launches greytFM podcast series for the HR fraternity
Mumbai: GreytHR, the human resources and payroll cloud platform, has launched greytFM. For the HR community, in this podcast series, greytFM highlights debates and discussions focused on current issues, mostly in the human resources sector.
Listeners may tune in to hear industry leaders and speakers discussing various subjects ranging from workplace diversity and HR IT trends to people analytics and the great resignation, to name a few. Listen to the podcasts on //www.greythr.com/greytfm-podcast/
The podcast is accessible on 49 platforms, including Audioboom, Apple Podcasts, Spotify, Amazon Music, Deezer, JioSaavn, Podchaser, Player FM, Stitcher, iHeart, Listen Notes, Cast Box, etc.
Various speakers who have been featured on greytFM include AECOM Enterprise Capabilities global HR head Sameer Mathur; Voltas Beko head of HR Colin Mendes; Fiserv director HRMegha Gupta; DB Schenker CHRO Renu Bohra; Berger Paints India ex-Group head-HR Samar Banerjee; and Infogain CVP and CPO Rajiv Naithani.
greytHR co-founder and CEO Girish Rowjee said, “With greytFM, we intend to create awareness amongst the HR fraternity on numerous themes and concerns. We look forward to reaching out to various industries through this channel by providing expert domain-specific information.”
greytHR co-founder and CTO Sayeed Anjum said, “Through greytFM, we monitor global trends that could have an impact on society. Through this series, we will be spotlighting interesting dialogues and conversations around trending themes from the world of human resources.”
iWorld
Meta plans 8,000 layoffs in new AI-led restructuring wave
First phase from May 20 may cut 10 per cent workforce amid AI pivot.
MUMBAI: At Meta, the future may be artificial but the cuts are very real. The social media giant is reportedly preparing a fresh round of layoffs, with an initial wave expected to impact around 8,000 employees as it doubles down on its artificial intelligence ambitions. According to a Reuters report, the first phase of job cuts is slated to begin on May 20, targeting roughly 10 per cent of Meta’s global workforce. With nearly 79,000 employees on its rolls as of December 31, the move marks one of the company’s most significant workforce reductions in recent years.
And this may only be the beginning. Sources indicate that additional layoffs are being planned for the second half of the year, although the scale and timing remain fluid, likely to be shaped by how Meta’s AI capabilities evolve in the coming months. Earlier reports had suggested that total cuts in 2026 could reach 20 per cent or more of its workforce.
The restructuring comes as chief executive Mark Zuckerberg continues to steer the company towards an AI-first operating model, committing hundreds of billions of dollars to the transition. Internally, this shift is already visible: teams within Reality Labs have been reorganised, engineers have been moved into a newly formed Applied AI unit, and a Meta Small Business division has been created to align with broader structural changes.
The trend is hardly isolated. Across the tech sector, companies are trimming headcount while investing aggressively in automation. Amazon, for instance, has reportedly cut around 30,000 corporate roles nearly 10 per cent of its white-collar workforce citing efficiency gains driven by AI. Data from Layoffs.fyi shows over 73,000 tech employees have already lost jobs this year, compared with 153,000 in all of 2024.
For Meta, the move echoes its earlier “year of efficiency” in 2022–23, when about 21,000 roles were eliminated amid slowing growth and market pressures. This time, however, the backdrop is different. The company is financially stronger, generating over $200 billion in revenue and $60 billion in profit last year, with shares up 3.68 per cent year-to-date though still below last summer’s peak.
That contrast underlines the shift underway. These layoffs are less about survival and more about reinvention. As Meta restructures itself around AI from autonomous coding agents to advanced machine learning systems, the question is no longer whether the company will change, but how many roles will be left unchanged when it does.
