iWorld
Shemaroo Entertainment signs catalogue deal with Spuul India
MUMBAI: Shemaroo Entertainment has signed another catalogue deal with Spuul, the popular online streaming service for Indian cinema. The companies have come together to create a larger library on the digital platform in order to offer an enhanced viewing experience online.
Speaking about this new deal, Spuul VP content Girish Dwibhashyam said, “As one of the leading providers of Bollywood content to viewers across India, Pakistan, UK, US and Middle East, we are constantly investing in growing our library by adding new, popular and in many cases, classic titles to our list. Our association with Shemaroo is yet another step in this direction.”
Shemaroo Entertainment Ltd director Jai Maroo said, “With ever growing number of consumers on the digital platform, we are sure that our association with Spuul will further boost the customer base. We have already been working with Spuul to make our content available through their platform and have seen them grow over the past couple of years. We are glad to be able to work with them and grow this opportunities even further.”
The two industry giants have been working closely to encourage legitimate consumption of Indian Cinema on digital media. In addition to a large selection of free movies, the platform offers movies with premium subscription option.
The platform now offers its viewers a wider catalogue that includes contemporary hits from Shemaroo like Mujhse Shaadi Karogi, The Dirty Picture, Sarfarosh, Black and evergreen movies like Kaalia, Namak Halal, Shiva, Majboor, Amar Akbar Anthony, Don and Anamika, etc.
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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.
